The major purpose of C++ programming is to introduce the concept of object orientation to the C programming language. Object Oriented Programming is a paradigm that provides many concepts such as inheritance, data binding, polymorphism etc.
This document provides an introduction and overview of NHibernate, an object-relational mapper for .NET. It discusses what ORM is, the benefits of ORM, and gives a high-level overview of NHibernate. It then walks through a sample application demonstrating how to map objects and database tables, work with sessions and transactions, and perform common data access operations like create, read, update and delete. Reference materials on NHibernate are also provided.
The document discusses object-oriented programming concepts including classes, objects, encapsulation, data hiding, inheritance, polymorphism, and overriding. Specifically:
1. A class defines the data (attributes) and functions (behaviors) that characterize concepts in the problem domain. An object is an instance of a class that allocates memory.
2. Encapsulation groups related data and functions into a class. Data hiding uses access modifiers like public and private to restrict access to some class components.
3. Inheritance allows new classes to reuse and build upon existing classes through mechanisms like base and derived classes. Polymorphism allows different outputs from functions with the same name but different parameters through method overloading and
NHibernate is an object-relational mapper that maps plain old CLR objects (POCOs) to database tables. It is based on Hibernate and provides a stable, database agnostic way to generate SQL at runtime. NHibernate configurations can be defined using XML, attributes or code-first fluent APIs. Sessions represent a lightweight transaction and identity mapping unit of work with the database. Entities are mapped to tables through properties, identifiers and relationships such as one-to-many, many-to-many and inheritance. Queries can be performed using the criteria API, HQL, LINQ or future queries to optimize performance. Caching at the session and query levels improves efficiency. NHibernate reduces
This document discusses object-oriented programming (OOPs) principles and how they are implemented in Objective-C. It explains that OOPs aims to emulate the human brain through abstraction, encapsulation, and other principles. It provides examples of key OOPs concepts in Objective-C like classes and objects, inheritance where subclasses inherit from superclasses, encapsulation which hides complexity, and polymorphism which allows one interface to work for multiple classes through dynamic binding and message passing. The document demonstrates how these OOPs features are exhibited in Objective-C code.
The assignments written by our professionals are always worth and deliver the best output. At EssayCorp, a panel of experts is involved in object oriented programming assignment help. They implement their knowledge with the effective words which comes out as a well attempted assignment. All these experts are not only skilled, but they are also experienced. Hence, it is our assurance that you will get high quality work from us.
Visit : https://www.essaycorp.com/c-plus-plus.html
Object oriented programming focuses on data and uses a bottom-up design approach, while procedural programming focuses on functions and uses a top-down design approach. Some key features of OOP include objects, classes, data abstraction, encapsulation, inheritance, polymorphism, and reusability. An object contains data fields and methods, and a class defines the blueprint for objects. Inheritance allows code reuse through derived classes extending existing base classes. Polymorphism allows the same function to operate on different types, while overloading gives the same operation different meanings based on context.
Wrapper classes allow primitives to be used as objects by encapsulating primitive values within objects. For each primitive type (e.g. int, double), there is a corresponding wrapper class (e.g. Integer, Double). Wrapper classes can be created using the new operator or static valueOf() methods. They allow primitives to be added to collections and returned from methods as objects. Autoboxing further automates the wrapping of primitives into objects.
This document discusses various applications of common data structures like linked lists, stacks, queues, and trees. It provides examples of how linked lists are used to implement queues and stacks, and in web browsers to store browsing history. It also gives examples of how stacks can be used for reversing words, undo/redo functions, matching parentheses in compilers, and modeling real-world examples like plates in a cupboard. Applications of queues include asynchronous data transfer and resource sharing. Trees are used in operating systems to represent folder structures, in HTML for the document object model, for network routing, syntax trees in compilers, and modeling game moves in AI.
In this core java training session, you will learn Collections – Sorting, Comparing. Topics covered in this session are:
• Recap of Arrays, ArrayLists
• Basically, there can be 2 operations that you would want to perform on Arrays/ArrayLists.. (and maybe, other collections)
• Search: Override equals() and hashCode().
• Sort: provide comparison logic – Two ways
• Comparable interface
• Comparator interface
For more information about this course visit on this link: https://www.mindsmapped.com/courses/software-development/learn-java-fundamentals-hands-on-training-on-core-java-concepts/
Regular expressions are a powerful tool for searching, parsing, and modifying text patterns. They allow complex patterns to be matched with simple syntax. Some key uses of regular expressions include validating formats, extracting data from strings, and finding and replacing substrings. Regular expressions use special characters to match literal, quantified, grouped, and alternative character patterns across the start, end, or anywhere within a string.
In this core java training session, you will learn Handling Strings in Java. Topics covered in this session are:
• Memory Allocation & Garbage Collection
• Strings in Java
For more information about this course visit on this link: https://www.mindsmapped.com/courses/software-development/learn-java-fundamentals-hands-on-training-on-core-java-concepts/
HypergraphDB is an open-source, graph-oriented database that uses hypergraphs to model higher-order relationships. It has an embedded, schema-flexible data model and supports queries, traversals, indexing, transactions, and distribution. The data model represents data as atoms with target sets of related atoms. Types map data to storage and the type system supports subtypes. Indices and queries provide access to graph structures and relationships. Transactions use multiversion consistency and the system supports eventual consistency across a distributed network of peers.
Designing A Syntax Based Retrieval System03Avelin Huo
The document proposes a syntax-based text retrieval system to support grammatical querying of tagged corpora for language learners and teachers. It describes building an index of part-of-speech tagged n-grams from a corpus, with a filter to select discriminative index terms. A regular expression query is rewritten and its positions in the index are used to find candidate matching text units efficiently. An evaluation compares the proposed index to a complete index in terms of size and query performance.
The document discusses Java's Number class and wrapper classes. It describes that wrapper classes allow primitive data types to be used as objects. The six wrapper classes are Integer, Byte, Float, Short, Long and Double. Wrapper classes allow boxing (converting primitives to objects) and unboxing. Number class methods like intValue(), doubleValue() convert between primitive types and objects. Other methods like compareTo(), equals() compare values or check equality. Static methods like valueOf() and parseInt() create Number objects from primitives and strings.
Spatial data types allow for location-based queries by representing geometric objects like points, lines, and polygons. SQL Server supports both flat (GEOMETRY) and round earth (GEOGRAPHY) spatial data types that adhere to Open Geospatial Consortium standards. Spatial data can be input and output in different formats and queried using spatial methods and indexed for performance with spatial indexes.
The document discusses different data structures like arrays, linked lists, stacks, and queues, explaining what they are, common operations on them like searching and sorting, as well as examples of algorithms for implementing common operations like insertion and deletion on each data structure. Key data structures are explained along with their properties and typical applications.
The document discusses the key concepts of object-oriented programming (OOP) in C++ including objects, classes, encapsulation, inheritance, polymorphism, and binding. It explains that OOP focuses on data and objects that interact by sending messages, whereas procedural programming focuses on functions and global data. Some key OOP concepts are classes as user-defined types that group similar objects, encapsulation which wraps data and functions into a single unit, and inheritance which allows deriving new classes from existing classes.
Data structure and algorithm using javaNarayan Sau
This presentation created for people who like to go back to basics of data structure and its implementation. This presentation mostly helps B.Tech , Bsc Computer science students as well as all programmer who wants to develop software in core areas.
The document provides an overview of input/output streams and serialization in C#. It discusses how streams are used for reading and writing files and describes classes like FileStream, StreamWriter, and StreamReader that provide methods for working with files. It also explains serialization and deserialization in C# - the processes of converting an object into a byte stream and back, and describes how to apply the SerializableAttribute to allow objects to be serialized.
This presentation provides an overview of object-oriented programming (OOP). It discusses key OOP concepts including objects, classes, encapsulation, inheritance, polymorphism, and message passing. Objects are instances of classes that contain both data and behaviors. Classes define common properties and methods for objects. Encapsulation binds data and functions together, while inheritance allows classes to inherit properties from parent classes. Polymorphism allows the same message to be interpreted differently. Message passing facilitates communication between objects.
This document discusses delegates in C#, which are similar to function pointers in C/C++. Delegates allow methods to be passed as arguments and stored for later invocation. The document explains that delegates store references to methods, can reference static or instance methods, and are type-safe. It also covers declaring delegates, instantiating delegates by storing method references, and using single-cast versus multi-cast delegates which can store references to multiple methods and invoke them in sequence.
This document provides an overview of C++ programming concepts. It introduces C++, focusing on programming concepts and design techniques rather than technical language details. It discusses procedural and object-oriented programming concepts, and how C++ supports both as well as generic programming. The key characteristics of object-oriented programming languages are explained as encapsulation, inheritance, and polymorphism.
This document provides an overview of C++ programming concepts. It introduces C++, focusing on programming concepts and design techniques rather than technical language details. It discusses procedural and object-oriented programming concepts, and how C++ supports both as well as generic programming. The key characteristics of object-oriented programming languages are explained as encapsulation, inheritance, and polymorphism.
Object-oriented programming aims to implement real-world entities as objects that contain both data and functions. Some key characteristics of OOP include classes that act as blueprints for objects, encapsulation that binds data to the functions that operate on it, inheritance that allows classes to inherit properties from other classes, and polymorphism which allows the same message to be displayed in different forms. Advantages of OOP include reusability, flexibility, ease of maintenance and security through features like encapsulation.
Here are some common applications of object-oriented programming and C++:
- Desktop applications like word processors, spreadsheets, etc. The document is an object and formatting, editing operations are methods.
- Game development. Characters, weapons, levels etc. are modeled as objects with behaviors and properties.
- GUI (Graphical User Interface) toolkits like MFC, Qt. Windows, buttons etc. are predefined object classes.
- Web applications and frameworks. Objects represent pages, forms, database entities etc.
- Database connectivity libraries. Objects used to represent rows, columns, connections etc.
- Operating system design. Processes, files, devices modeled as objects.
- Scientific and engineering
The presentation includes brief insight of mostly all important OOPs concepts including Exception Handling, File Handling, Dynamic Memory Allocation, Storage Classes, Namespaces, and Generic Programming.
This document discusses various applications of common data structures like linked lists, stacks, queues, and trees. It provides examples of how linked lists are used to implement queues and stacks, and in web browsers to store browsing history. It also gives examples of how stacks can be used for reversing words, undo/redo functions, matching parentheses in compilers, and modeling real-world examples like plates in a cupboard. Applications of queues include asynchronous data transfer and resource sharing. Trees are used in operating systems to represent folder structures, in HTML for the document object model, for network routing, syntax trees in compilers, and modeling game moves in AI.
In this core java training session, you will learn Collections – Sorting, Comparing. Topics covered in this session are:
• Recap of Arrays, ArrayLists
• Basically, there can be 2 operations that you would want to perform on Arrays/ArrayLists.. (and maybe, other collections)
• Search: Override equals() and hashCode().
• Sort: provide comparison logic – Two ways
• Comparable interface
• Comparator interface
For more information about this course visit on this link: https://www.mindsmapped.com/courses/software-development/learn-java-fundamentals-hands-on-training-on-core-java-concepts/
Regular expressions are a powerful tool for searching, parsing, and modifying text patterns. They allow complex patterns to be matched with simple syntax. Some key uses of regular expressions include validating formats, extracting data from strings, and finding and replacing substrings. Regular expressions use special characters to match literal, quantified, grouped, and alternative character patterns across the start, end, or anywhere within a string.
In this core java training session, you will learn Handling Strings in Java. Topics covered in this session are:
• Memory Allocation & Garbage Collection
• Strings in Java
For more information about this course visit on this link: https://www.mindsmapped.com/courses/software-development/learn-java-fundamentals-hands-on-training-on-core-java-concepts/
HypergraphDB is an open-source, graph-oriented database that uses hypergraphs to model higher-order relationships. It has an embedded, schema-flexible data model and supports queries, traversals, indexing, transactions, and distribution. The data model represents data as atoms with target sets of related atoms. Types map data to storage and the type system supports subtypes. Indices and queries provide access to graph structures and relationships. Transactions use multiversion consistency and the system supports eventual consistency across a distributed network of peers.
Designing A Syntax Based Retrieval System03Avelin Huo
The document proposes a syntax-based text retrieval system to support grammatical querying of tagged corpora for language learners and teachers. It describes building an index of part-of-speech tagged n-grams from a corpus, with a filter to select discriminative index terms. A regular expression query is rewritten and its positions in the index are used to find candidate matching text units efficiently. An evaluation compares the proposed index to a complete index in terms of size and query performance.
The document discusses Java's Number class and wrapper classes. It describes that wrapper classes allow primitive data types to be used as objects. The six wrapper classes are Integer, Byte, Float, Short, Long and Double. Wrapper classes allow boxing (converting primitives to objects) and unboxing. Number class methods like intValue(), doubleValue() convert between primitive types and objects. Other methods like compareTo(), equals() compare values or check equality. Static methods like valueOf() and parseInt() create Number objects from primitives and strings.
Spatial data types allow for location-based queries by representing geometric objects like points, lines, and polygons. SQL Server supports both flat (GEOMETRY) and round earth (GEOGRAPHY) spatial data types that adhere to Open Geospatial Consortium standards. Spatial data can be input and output in different formats and queried using spatial methods and indexed for performance with spatial indexes.
The document discusses different data structures like arrays, linked lists, stacks, and queues, explaining what they are, common operations on them like searching and sorting, as well as examples of algorithms for implementing common operations like insertion and deletion on each data structure. Key data structures are explained along with their properties and typical applications.
The document discusses the key concepts of object-oriented programming (OOP) in C++ including objects, classes, encapsulation, inheritance, polymorphism, and binding. It explains that OOP focuses on data and objects that interact by sending messages, whereas procedural programming focuses on functions and global data. Some key OOP concepts are classes as user-defined types that group similar objects, encapsulation which wraps data and functions into a single unit, and inheritance which allows deriving new classes from existing classes.
Data structure and algorithm using javaNarayan Sau
This presentation created for people who like to go back to basics of data structure and its implementation. This presentation mostly helps B.Tech , Bsc Computer science students as well as all programmer who wants to develop software in core areas.
The document provides an overview of input/output streams and serialization in C#. It discusses how streams are used for reading and writing files and describes classes like FileStream, StreamWriter, and StreamReader that provide methods for working with files. It also explains serialization and deserialization in C# - the processes of converting an object into a byte stream and back, and describes how to apply the SerializableAttribute to allow objects to be serialized.
This presentation provides an overview of object-oriented programming (OOP). It discusses key OOP concepts including objects, classes, encapsulation, inheritance, polymorphism, and message passing. Objects are instances of classes that contain both data and behaviors. Classes define common properties and methods for objects. Encapsulation binds data and functions together, while inheritance allows classes to inherit properties from parent classes. Polymorphism allows the same message to be interpreted differently. Message passing facilitates communication between objects.
This document discusses delegates in C#, which are similar to function pointers in C/C++. Delegates allow methods to be passed as arguments and stored for later invocation. The document explains that delegates store references to methods, can reference static or instance methods, and are type-safe. It also covers declaring delegates, instantiating delegates by storing method references, and using single-cast versus multi-cast delegates which can store references to multiple methods and invoke them in sequence.
This document provides an overview of C++ programming concepts. It introduces C++, focusing on programming concepts and design techniques rather than technical language details. It discusses procedural and object-oriented programming concepts, and how C++ supports both as well as generic programming. The key characteristics of object-oriented programming languages are explained as encapsulation, inheritance, and polymorphism.
This document provides an overview of C++ programming concepts. It introduces C++, focusing on programming concepts and design techniques rather than technical language details. It discusses procedural and object-oriented programming concepts, and how C++ supports both as well as generic programming. The key characteristics of object-oriented programming languages are explained as encapsulation, inheritance, and polymorphism.
Object-oriented programming aims to implement real-world entities as objects that contain both data and functions. Some key characteristics of OOP include classes that act as blueprints for objects, encapsulation that binds data to the functions that operate on it, inheritance that allows classes to inherit properties from other classes, and polymorphism which allows the same message to be displayed in different forms. Advantages of OOP include reusability, flexibility, ease of maintenance and security through features like encapsulation.
Here are some common applications of object-oriented programming and C++:
- Desktop applications like word processors, spreadsheets, etc. The document is an object and formatting, editing operations are methods.
- Game development. Characters, weapons, levels etc. are modeled as objects with behaviors and properties.
- GUI (Graphical User Interface) toolkits like MFC, Qt. Windows, buttons etc. are predefined object classes.
- Web applications and frameworks. Objects represent pages, forms, database entities etc.
- Database connectivity libraries. Objects used to represent rows, columns, connections etc.
- Operating system design. Processes, files, devices modeled as objects.
- Scientific and engineering
The presentation includes brief insight of mostly all important OOPs concepts including Exception Handling, File Handling, Dynamic Memory Allocation, Storage Classes, Namespaces, and Generic Programming.
This document discusses concepts related to object-oriented databases. It begins by outlining the objectives of examining object-oriented database design concepts and understanding the transition from relational to object-oriented databases. It then provides background on how object-oriented databases arose from advancements in relational database management systems and how they integrate object-oriented programming concepts. The key aspects of object-oriented databases are described as objects serving as the basic building blocks organized into classes with methods and inheritance. The document also covers object-oriented programming concepts like encapsulation, polymorphism, and abstraction that characterize object-oriented management systems. Examples are provided of object database structures and queries.
The document outlines the syllabus for the II Year / III Semester 20IT302 - C++ AND DATA STRUCTURES course. It covers 5 units - (1) Object Oriented Programming Fundamentals, (2) Object Oriented Programming Concepts, (3) C++ Programming Advanced Features, (4) Advanced Non-Linear Data Structures, and (5) Graphs. Some key concepts covered include classes, objects, encapsulation, inheritance, polymorphism, templates, containers, iterators, trees, and graph algorithms.
Spark SQL provides relational data processing capabilities in Spark. It introduces a DataFrame API that allows both relational operations on external data sources and Spark's built-in distributed collections. The Catalyst optimizer improves performance by applying database query optimization techniques. It is highly extensible, making it easy to add data sources, optimization rules, and data types for domains like machine learning. Spark SQL evaluation shows it outperforms alternative systems on both SQL query processing and Spark program workloads involving large datasets.
OOPs is object oriented programming which uses objects, classes, and inheritance. C++ is an object oriented language that uses objects, classes, data abstraction, encapsulation, inheritance, polymorphism, dynamic binding, and message passing. Objects are the basic runtime entities that can represent things in the real world. Classes are user-defined types that define objects with common properties and behaviors.
This document provides an introduction to object-oriented programming concepts including abstraction, encapsulation, and inheritance. It defines abstraction as identifying an object's crucial behavior while eliminating irrelevant details. Encapsulation ties an object's state and behavior together, keeping them hidden from external code. Inheritance allows a new class to inherit behaviors from an existing parent class, expressing "is-a" relationships. Real-world objects have state represented by fields and behavior exposed through methods.
This document discusses object-oriented concepts including identity, classification, inheritance, polymorphism, and abstraction. It defines these concepts and provides examples. Identity refers to each object having its own identity even if attribute values are identical. Classification groups objects of the same structure and behavior into classes. Inheritance allows classes to inherit attributes and behaviors from superclasses. Polymorphism allows the same operation to have different implementations for different classes. Abstraction focuses on essential aspects and ignores non-essential details. The document also discusses class, state, and interaction models for describing different views of a system.
Information and network security 47 authentication applicationsVaibhav Khanna
Kerberos provides a centralized authentication server whose function is to authenticate users to servers and servers to users. In Kerberos Authentication server and database is used for client authentication. Kerberos runs as a third-party trusted server known as the Key Distribution Center (KDC).
Information and network security 46 digital signature algorithmVaibhav Khanna
The Digital Signature Algorithm (DSA) is a Federal Information Processing Standard for digital signatures, based on the mathematical concept of modular exponentiation and the discrete logarithm problem. DSA is a variant of the Schnorr and ElGamal signature schemes
Information and network security 45 digital signature standardVaibhav Khanna
The Digital Signature Standard is a Federal Information Processing Standard specifying a suite of algorithms that can be used to generate digital signatures established by the U.S. National Institute of Standards and Technology in 1994
Information and network security 44 direct digital signaturesVaibhav Khanna
The Direct Digital Signature is only include two parties one to send message and other one to receive it. According to direct digital signature both parties trust each other and knows there public key. The message are prone to get corrupted and the sender can declines about the message sent by him any time
Information and network security 43 digital signaturesVaibhav Khanna
Digital signatures are the public-key primitives of message authentication. In the physical world, it is common to use handwritten signatures on handwritten or typed messages. ... Digital signature is a cryptographic value that is calculated from the data and a secret key known only by the signer
Information and network security 42 security of message authentication codeVaibhav Khanna
Message Authentication Requirements
Disclosure: Release of message contents to any person or process not possess- ing the appropriate cryptographic key.
Traffic analysis: Discovery of the pattern of traffic between parties. ...
Masquerade: Insertion of messages into the network from a fraudulent source
Information and network security 41 message authentication codeVaibhav Khanna
Message authentication aims to protect integrity, validate originator identity, and provide non-repudiation. It addresses threats like masquerading, content or sequence modification, and source/destination repudiation. A Message Authentication Code (MAC) provides assurance that a message is unaltered and from the sender by appending a cryptographic checksum to the message dependent on the key and content. The receiver can validate the MAC to verify integrity and authenticity.
Information and network security 40 sha3 secure hash algorithmVaibhav Khanna
SHA-3 is the latest member of the Secure Hash Algorithm family of standards, released by NIST on August 5, 2015. Although part of the same series of standards, SHA-3 is internally different from the MD5-like structure of SHA-1 and SHA-2
Information and network security 39 secure hash algorithmVaibhav Khanna
The Secure Hash Algorithm (SHA) is a cryptographic hash function developed by the US National Security Agency. SHA-512 is the latest version that produces a 512-bit hash value. It processes message blocks of 1024 bits using an 80-step compression function that updates a 512-bit buffer. Each step uses a 64-bit value derived from the message and a round constant. SHA-512 supports messages up to 2^128 bits in length and adds between 1 and 1023 padding bits as needed.
Information and network security 38 birthday attacks and security of hash fun...Vaibhav Khanna
Birthday attack can be used in communication abusage between two or more parties. ... The mathematics behind this problem led to a well-known cryptographic attack called the birthday attack, which uses this probabilistic model to reduce the complexity of cracking a hash function
Information and network security 35 the chinese remainder theoremVaibhav Khanna
In number theory, the Chinese remainder theorem states that if one knows the remainders of the Euclidean division of an integer n by several integers, then one can determine uniquely the remainder of the division of n by the product of these integers, under the condition that the divisors are pairwise coprime.
Information and network security 34 primalityVaibhav Khanna
A primality test is an algorithm for determining whether an input number is prime. Among other fields of mathematics, it is used for cryptography. Unlike integer factorization, primality tests do not generally give prime factors, only stating whether the input number is prime or not
Information and network security 33 rsa algorithmVaibhav Khanna
RSA algorithm is asymmetric cryptography algorithm. Asymmetric actually means that it works on two different keys i.e. Public Key and Private Key. As the name describes that the Public Key is given to everyone and Private key is kept private
Information and network security 32 principles of public key cryptosystemsVaibhav Khanna
Public-key cryptography, or asymmetric cryptography, is an encryption scheme that uses two mathematically related, but not identical, keys - a public key and a private key. Unlike symmetric key algorithms that rely on one key to both encrypt and decrypt, each key performs a unique function.
Information and network security 31 public key cryptographyVaibhav Khanna
Public-key cryptography, or asymmetric cryptography, is a cryptographic system that uses pairs of keys: public keys, and private keys. The generation of such key pairs depends on cryptographic algorithms which are based on mathematical problems termed one-way function
Information and network security 30 random numbersVaibhav Khanna
Random numbers are fundamental building blocks of cryptographic systems and as such, play a key role in each of these elements. Random numbers are used to inject unpredictable or non-deterministic data into cryptographic algorithms and protocols to make the resulting data streams unrepeatable and virtually unguessable
Information and network security 29 international data encryption algorithmVaibhav Khanna
International Data Encryption Algorithm (IDEA) is a once-proprietary free and open block cipher that was once intended to replace Data Encryption Standard (DES). IDEA has been and is optionally available for use with Pretty Good Privacy (PGP). IDEA has been succeeded by the IDEA NXT algorithm
Information and network security 28 blowfishVaibhav Khanna
Blowfish is a symmetric block cipher designed as a replacement for DES. It encrypts data in 64-bit blocks using a variable-length key. The algorithm uses substitution boxes and a complex key schedule to encrypt the data in multiple rounds. It is very fast, uses little memory, and is resistant to cryptanalysis due to its complex key schedule and substitution boxes.
Information and network security 27 triple desVaibhav Khanna
Part of what Triple DES does is to protect against brute force attacks. The original DES symmetric encryption algorithm specified the use of 56-bit keys -- not enough, by 1999, to protect against practical brute force attacks. Triple DES specifies the use of three distinct DES keys, for a total key length of 168 bits
Meet You in the Middle: 1000x Performance for Parquet Queries on PB-Scale Dat...Alluxio, Inc.
Alluxio Webinar
June 10, 2025
For more Alluxio Events: https://www.alluxio.io/events/
Speaker:
David Zhu (Engineering Manager @ Alluxio)
Storing data as Parquet files on cloud object storage, such as AWS S3, has become prevalent not only for large-scale data lakes but also as lightweight feature stores for training and inference, or as document stores for Retrieval-Augmented Generation (RAG). However, querying petabyte-to-exabyte-scale data lakes directly from S3 remains notoriously slow, with latencies typically ranging from hundreds of milliseconds to several seconds.
In this webinar, David Zhu, Software Engineering Manager at Alluxio, will present the results of a joint collaboration between Alluxio and a leading SaaS and data infrastructure enterprise that explored leveraging Alluxio as a high-performance caching and acceleration layer atop AWS S3 for ultra-fast querying of Parquet files at PB scale.
David will share:
- How Alluxio delivers sub-millisecond Time-to-First-Byte (TTFB) for Parquet queries, comparable to S3 Express One Zone, without requiring specialized hardware, data format changes, or data migration from your existing data lake.
- The architecture that enables Alluxio’s throughput to scale linearly with cluster size, achieving one million queries per second on a modest 50-node deployment, surpassing S3 Express single-account throughput by 50x without latency degradation.
- Specifics on how Alluxio offloads partial Parquet read operations and reduces overhead, enabling direct, ultra-low-latency point queries in hundreds of microseconds and achieving a 1,000x performance gain over traditional S3 querying methods.
A brief introduction to OpenTelemetry, with a practical example of auto-instrumenting a Java web application with the Grafana stack (Loki, Grafana, Tempo, and Mimir).
Who will create the languages of the future?Jordi Cabot
Will future languages be created by language engineers?
Can you "vibe" a DSL?
In this talk, we will explore the changing landscape of language engineering and discuss how Artificial Intelligence and low-code/no-code techniques can play a role in this future by helping in the definition, use, execution, and testing of new languages. Even empowering non-tech users to create their own language infrastructure. Maybe without them even realizing.
FME as an Orchestration Tool - Peak of Data & AI 2025Safe Software
Processing huge amounts of data through FME can have performance consequences, but as an orchestration tool, FME is brilliant! We'll take a look at the principles of data gravity, best practices, pros, cons, tips and tricks. And of course all spiced up with relevant examples!
Marketo & Dynamics can be Most Excellent to Each Other – The SequelBradBedford3
So you’ve built trust in your Marketo Engage-Dynamics integration—excellent. But now what?
This sequel picks up where our last adventure left off, offering a step-by-step guide to move from stable sync to strategic power moves. We’ll share real-world project examples that empower sales and marketing to work smarter and stay aligned.
If you’re ready to go beyond the basics and do truly most excellent stuff, this session is your guide.
AI and Deep Learning with NVIDIA TechnologiesSandeepKS52
Artificial intelligence and deep learning are transforming various fields by enabling machines to learn from data and make decisions. Understanding how to prepare data effectively is crucial, as it lays the foundation for training models that can recognize patterns and improve over time. Once models are trained, the focus shifts to deployment, where these intelligent systems are integrated into real-world applications, allowing them to perform tasks and provide insights based on new information. This exploration of AI encompasses the entire process from initial concepts to practical implementation, highlighting the importance of each stage in creating effective and reliable AI solutions.
Join the Denver Marketo User Group, Captello and Integrate as we dive into the best practices, tools, and strategies for maintaining robust, high-performing databases. From managing vendors and automating orchestrations to enriching data for better insights, this session will unpack the key elements that keep your data ecosystem running smoothly—and smartly.
We will hear from Steve Armenti, Twelfth, and Aaron Karpaty, Captello, and Frannie Danzinger, Integrate.
Best Inbound Call Tracking Software for Small BusinessesTheTelephony
The best inbound call tracking software for small businesses offers features like call recording, real-time analytics, lead attribution, and CRM integration. It helps track marketing campaign performance, improve customer service, and manage leads efficiently. Look for solutions with user-friendly dashboards, customizable reporting, and scalable pricing plans tailored for small teams. Choosing the right tool can significantly enhance communication and boost overall business growth.
Agentic Techniques in Retrieval-Augmented Generation with Azure AI SearchMaxim Salnikov
Discover how Agentic Retrieval in Azure AI Search takes Retrieval-Augmented Generation (RAG) to the next level by intelligently breaking down complex queries, leveraging full conversation history, and executing parallel searches through a new LLM-powered query planner. This session introduces a cutting-edge approach that delivers significantly more accurate, relevant, and grounded answers—unlocking new capabilities for building smarter, more responsive generative AI applications.
Traditional Retrieval-Augmented Generation (RAG) pipelines work well for simple queries—but when users ask complex, multi-part questions or refer to previous conversation history, they often fall short. That’s where Agentic Retrieval comes in: a game-changing advancement in Azure AI Search that brings LLM-powered reasoning directly into the retrieval layer.
This session unveils how agentic techniques elevate your RAG-based applications by introducing intelligent query planning, subquery decomposition, parallel execution, and result merging—all orchestrated by a new Knowledge Agent. You’ll learn how this approach significantly boosts relevance, groundedness, and answer quality, especially for sophisticated enterprise use cases.
Key takeaways:
- Understand the evolution from keyword and vector search to agentic query orchestration
- See how full conversation context improves retrieval accuracy
- Explore measurable improvements in answer relevance and completeness (up to 40% gains!)
- Get hands-on guidance on integrating Agentic Retrieval with Azure AI Foundry and SDKs
- Discover how to build scalable, AI-first applications powered by this new paradigm
Whether you're building intelligent copilots, enterprise Q&A bots, or AI-driven search solutions, this session will equip you with the tools and patterns to push beyond traditional RAG.
Integrating Survey123 and R&H Data Using FMESafe Software
West Virginia Department of Transportation (WVDOT) actively engages in several field data collection initiatives using Collector and Survey 123. A critical component for effective asset management and enhanced analytical capabilities is the integration of Geographic Information System (GIS) data with Linear Referencing System (LRS) data. Currently, RouteID and Measures are not captured in Survey 123. However, we can bridge this gap through FME Flow automation. When a survey is submitted through Survey 123 for ArcGIS Portal (10.8.1), it triggers FME Flow automation. This process uses a customized workbench that interacts with a modified version of Esri's Geometry to Measure API. The result is a JSON response that includes RouteID and Measures, which are then applied to the feature service record.
Have you upgraded your application from Qt 5 to Qt 6? If so, your QML modules might still be stuck in the old Qt 5 style—technically compatible, but far from optimal. Qt 6 introduces a modernized approach to QML modules that offers better integration with CMake, enhanced maintainability, and significant productivity gains.
In this webinar, we’ll walk you through the benefits of adopting Qt 6 style QML modules and show you how to make the transition. You'll learn how to leverage the new module system to reduce boilerplate, simplify builds, and modernize your application architecture. Whether you're planning a full migration or just exploring what's new, this session will help you get the most out of your move to Qt 6.
How the US Navy Approaches DevSecOps with Raise 2.0Anchore
Join us as Anchore's solutions architect reveals how the U.S. Navy successfully approaches the shift left philosophy to DevSecOps with the RAISE 2.0 Implementation Guide to support its Cyber Ready initiative. This session will showcase practical strategies for defense application teams to pivot from a time-intensive compliance checklist and mindset to continuous cyber-readiness with real-time visibility.
Learn how to break down organizational silos through RAISE 2.0 principles and build efficient, secure pipeline automation that produces the critical security artifacts needed for Authorization to Operate (ATO) approval across military environments.
Top 5 Task Management Software to Boost Productivity in 2025Orangescrum
In this blog, you’ll find a curated list of five powerful task management tools to watch in 2025. Each one is designed to help teams stay organized, improve collaboration, and consistently hit deadlines. We’ve included real-world use cases, key features, and data-driven insights to help you choose what fits your team best.
Maximizing Business Value with AWS Consulting Services.pdfElena Mia
An overview of how AWS consulting services empower organizations to optimize cloud adoption, enhance security, and drive innovation. Read More: https://www.damcogroup.com/aws-cloud-services/aws-consulting.
NTRODUCTION TO SOFTWARE TESTING
• Definition:
• Software testing is the process of evaluating and
verifying that a software application or system meets
specified requirements and functions correctly.
• Purpose:
• Identify defects and bugs in the software.
• Ensure the software meets quality standards.
• Validate that the software performs as intended in
various scenarios.
• Importance:
• Reduces risks associated with software failures.
• Improves user satisfaction and trust in the product.
• Enhances the overall reliability and performance of
the software
Bonk coin airdrop_ Everything You Need to Know.pdfHerond Labs
The Bonk airdrop, one of the largest in Solana’s history, distributed 50% of its total supply to community members, significantly boosting its popularity and Solana’s network activity. Below is everything you need to know about the Bonk coin airdrop, including its history, eligibility, how to claim tokens, risks, and current status.
https://blog.herond.org/bonk-coin-airdrop/
Bonk coin airdrop_ Everything You Need to Know.pdfHerond Labs
Object oriented programming 2 elements of programming
1. Object Oriented Programming: 2
Elements of Programming
Prof Neeraj Bhargava
Vaibhav Khanna
Department of Computer Science
School of Engineering and Systems Sciences
Maharshi Dayanand Saraswati University Ajmer
2. Focus of Object oriented Technology
• Focus on
– Programming Concepts
– Programming Design Techniques
• Don’t get lost in
– Language Technical Details
3. What is programming?
Programming is taking
A problem
Find the area of a rectangle
A set of data
length
width
A set of functions
area = length * width
Then,
Applying functions to data to solve the
problem
4. Objects
• Objects are an Abstraction
– represent real world entities
– Classes are data types that define shared common properties or attributes
– Objects are instances of a class
• Objects have State
– have a value at a particular time
• Objects have Operations
– associated set of operations called methods that describe how to carry out
operations
• Objects have Messages
– request an object to carry out one of its operations by sending it a
message
– messages are the means by which we exchange data between objects
5. 5
OO Perspective
Let's look at the Rectangle through object oriented eyes:
• Define a new type Rectangle (a class)
– Data
• width, length
– Function
• area()
• Create an instance of the class (an object)
• Request the object for its area
In C++, rather than writing a procedure, we define a
class that encapsulates the knowledge necessary to
answer the question - here, what is the area of the
rectangle.
6. 6
class Rectangle
{
private:
int width, length;
public:
Rectangle(int w, int l)
{
width = w;
length = l;
}
main()
{
Rectangle rect(3, 5);
cout << rect.area()<<endl;
}
int area()
{
return width*length;
}
};
Example Object Oriented Code
7. 7
Object-Oriented Programming Languages
• Characteristics of OOPL:
–Encapsulation
–Inheritance
–Polymorphism
• OOPLs support :
– Modular Programming
– Ease of Development
– Maintainability
8. 8
Characteristics of OOPL
• Encapsulation: Combining data structure with actions
– Data structure: represents the properties, the state, or characteristics of objects
– Actions: permissible behaviors that are controlled through the member
functions
Data hiding: Process of making certain data inaccessible
• Inheritance: Ability to derive new objects from old ones
– permits objects of a more specific class to inherit the properties (data) and
behaviors (functions) of a more general/base class
– ability to define a hierarchical relationship between objects
• Polymorphism: Ability for different objects to interpret
functions differently
9. 9
Basic C++
• Inherit all ANSI C directives
• Inherit all C functions
• You don’t have to write OOP programming in
C++
10. 10
Basic C++ Extension from C
• comments
/* You can still use the old comment style, */
/* but you must be // very careful about mixing them */
// It's best to use this style for 1 line or partial lines
/* And use this style when your comment
consists of multiple lines */
• cin and cout (and #include <iostream.h>)
cout << "hey";
char name[10];
cin >> name;
cout << "Hey " << name << ", nice name." << endl;
cout << endl; // print a blank line
• declaring variables almost anywhere
// declare a variable when you need it
for (int k = 1; k < 5; k++){
cout << k;
}
11. 11
Basic C++ Extension from C (II)
• const
– In C, #define statement
• Preprocessor - No type checking.
• #define n 5
– In C++, the const specifier
• Compiler - Type checking is applied
• const int n = 5; // declare and initialize
• New data type
– Reference data type “&”.
int ix; /* ix is "real" variable */
int & rx = ix; /* rx is “alias” for ix. Must initialize*/
ix = 1; /* also rx == 1 */
rx = 2; /* also ix == 2 */
12. 12
C++ - Advance Extension
• C++ allows function overloading
– In C++, functions can use the same names, within
the same scope, if each can be distinguished by its
name and signature
– The signature specifies the number, type, and order
of the parameters expressed as a comma separated
list of argument types
13. 13
C++
• Is a better C
• Expressive
• Supports Data Abstraction
• Supports OOP
• Supports Generic Programming
– Containers
• Stack of char, int, double etc
– Generic Algorithms
• sort(), copy(), search() any container Stack/Vector/List
14. 14
Take Home Message
• There are many different kinds of programming
paradigms, OOP is one among them.
• In OOP, programmers see the execution of the
program as a collection of dialoging objects.
• The main characteristics of OOPL include
encapsulation, inheritance, and polymorphism.