Dokumen tersebut membahas tentang kontrol input/output (I/O) dan saluran I/O. Kontrol I/O bertugas mengelola berkas dan perangkat penyimpanan serta mengoordinasi komunikasi antara CPU dan perangkat penyimpanan. Saluran I/O berperan sebagai prosesor yang mengendalikan aliran data antara memori utama dan perangkat I/O. Dokumen ini juga menjelaskan beberapa jenis saluran I/O dan perangkat I/O serta teknik manaj
Sistem bilangan floating point menggunakan notasi eksponensial untuk merepresentasikan bilangan besar dan kecil dengan menggunakan mantisa dan eksponen. Bilangan floating point disimpan dalam format biner yang terdiri atas bit tanda, bit eksponen, dan bit mantisa.
Algoritma greedy merupakan metode untuk memecahkan masalah optimasi dengan mengambil keputusan lokal yang optimal pada setiap langkahnya, berharap akan menghasilkan solusi global yang optimal. Algoritma greedy bekerja secara step-by-step dengan prinsip "ambil yang terbaik saat ini tanpa mempertimbangkan masa depan".
Algoritma RSA merupakan algoritma kriptografi kunci publik yang paling terkenal dan banyak digunakan. Algoritma ini ditemukan oleh tiga peneliti dari MIT pada tahun 1976. Keamanan RSA terletak pada kesulitan memfaktorkan bilangan besar menjadi faktor-faktor prima.
Program ini membahas tentang mode pengalamatan pada mikroprosesor. Terdapat beberapa mode pengalamatan seperti direct, indirect, immediate, register addressing, register indirect addressing, displacement addressing, dan stack addressing. Setiap mode memiliki cara yang berbeda untuk mentransfer atau mengakses data.
1. Dokumen ini membahas tentang deteksi dan perbaikan deadlock pada sistem operasi.
2. Ada beberapa algoritma untuk mendeteksi deadlock seperti menggunakan resource allocation graph dan wait-for graph.
3. Untuk memperbaiki deadlock dapat dilakukan dengan menghentikan proses yang mengalami deadlock atau menunda sumber daya dari proses tertentu.
Scilab adalah perangkat lunak komputasi numerik dan visualisasi data yang dikembangkan oleh INRIA untuk melakukan perhitungan numerik, mengolah matriks, dan membuat grafik. Scilab memiliki tampilan console untuk menjalankan perintah dan editor untuk menulis script. Dokumen ini memberikan contoh penggunaan berbagai fungsi Scilab seperti operasi matriks, vektor, pembuatan grafik, dan pemrograman.
Dokumen tersebut membahas tentang fungsi kriptografi dalam menjaga kerahasiaan pesan dengan menyamarkannya, beberapa contoh penerapannya seperti ATM dan email, serta algoritma kriptografi klasik seperti Caesar cipher dan Vigènere cipher yang melibatkan penggantian huruf dan penggunaan kunci untuk enkripsi dan dekripsi pesan.
Organisasi Komputer- representasi informasidaru2501
Dokumen tersebut membahas tentang representasi informasi dalam komputer, mulai dari definisi bit dan byte, jenis-jenis bilangan biner seperti bilangan bulat tak bertanda dan bertanda dengan menggunakan komplemen dua, serta konversi antara sistem bilangan biner, oktal, desimal, dan heksadesimal.
Dokumen tersebut membahas tentang set instruksi (instruction set) yang merupakan kumpulan lengkap instruksi yang dapat dimengerti oleh CPU. Terdapat penjelasan mengenai jenis-jenis instruksi, operand, operasi, teknik pengalamatan, serta format set instruksi.
Materi yang ada pada slide ini berisi :
Review OOP Concept
Latar belakang adanya abstrak
Definisi Kelas Abstrak
Format sintaks
Menurunkan kelas abstract
Method abstrak
----------------------------------------------------------------------
Keep in touch with me in :
Twitter : https://twitter.com/rizkiadam_1991
Email : [email protected]
Github : https://github.com/RizkiAdamKurniawan
IG : @rizkiadamkurniawan
Program mengisi register Y dengan melakukan beberapa operasi aritmatika dan logika terhadap register dan memori. Register Y akhirnya berisi 20 setelah melalui proses LOAD, ADD, SUB, MPY, dan DIV.
Algoritma dan Struktur Data - Struktur DataKuliahKita
Dokumen ini membahas tentang struktur data dan algoritma. Struktur data adalah cara mengorganisasikan data di program agar dapat disimpan dan diakses secara efisien. Ada beberapa bentuk struktur data seperti kumpulan elemen data yang dibungkus dalam tipe, stack, queue, array, list, tree dan lainnya. Contoh struktur data adalah definisi jam yang memiliki atribut Hour, Minute, Second.
Sistem ini bertujuan untuk mengotomatisasi proses pendaftaran santri baru secara online untuk meningkatkan efisiensi dan mengurangi biaya. Lingkup proyek ini meliputi pengembangan perangkat lunak untuk mendukung pendaftaran calon santri, verifikasi berkas, rekomendasi pengasuh, dan pembagian kamar secara digital.
Monitoring Protokol ICMP (ping) dengan WiresharkHanif Yogatama
Protokol Internet Control Message Protocol (ICMP) digunakan untuk mengirim pesan kesalahan dan mendeteksi ketersediaan jaringan melalui aplikasi ping. Wireshark dapat memantau trafik ICMP saat ping dilakukan ke alamat tujuan. Proses ping mengirim permintaan echo kemudian menerima balasan yang menunjukkan waktu respons dan mengonfirmasi konektivitas jaringan.
Dokumen tersebut membahas tentang 7 layer OSI dan protokol-protokol yang terkait. Dokumen tersebut juga menjelaskan bagaimana protokol-protokol pada layer OSI tertentu dapat diamati menggunakan Wireshark, seperti TCP, ARP, dan UDP.
FDD menggunakan dua frekuensi terpisah untuk komunikasi dua arah antara stasiun basis dan stasiun mobile secara simultan, sedangkan TDD membagi waktu pada satu frekuensi untuk komunikasi dua arah secara bergantian. UMTS menggunakan baik FDD maupun TDD dengan mempertimbangkan kelebihan dan kekurangan masing-masing metode untuk area pelayanan yang sesuai.
Dokumen tersebut merangkum definisi sistem operasi, layanan utama yang disediakan sistem operasi seperti antarmuka pengguna, eksekusi program, operasi I/O, manajemen berkas, komunikasi, deteksi kesalahan, alokasi sumber daya, akuntansi, proteksi dan keamanan, serta struktur sistem operasi seperti struktur sederhana, pendekatan layer, mikrokernel, modul, mesin virtual, dan mesin virtual Java.
Perencanaan Testing :
• Obyektifitas Rencana Testing
• Rencana Tes Berdasarkan pada Standar IEEE
• Hal-Hal yang Berhubungan dengan Rencana Tes
• Kerangka Rencana Tes Sederhana
• Testing Terstruktur vs Testing Tidak Terstruktur
Dokumen tersebut membahas tentang fungsi kriptografi dalam menjaga kerahasiaan pesan dengan menyamarkannya, beberapa contoh penerapannya seperti ATM dan email, serta algoritma kriptografi klasik seperti Caesar cipher dan Vigènere cipher yang melibatkan penggantian huruf dan penggunaan kunci untuk enkripsi dan dekripsi pesan.
Organisasi Komputer- representasi informasidaru2501
Dokumen tersebut membahas tentang representasi informasi dalam komputer, mulai dari definisi bit dan byte, jenis-jenis bilangan biner seperti bilangan bulat tak bertanda dan bertanda dengan menggunakan komplemen dua, serta konversi antara sistem bilangan biner, oktal, desimal, dan heksadesimal.
Dokumen tersebut membahas tentang set instruksi (instruction set) yang merupakan kumpulan lengkap instruksi yang dapat dimengerti oleh CPU. Terdapat penjelasan mengenai jenis-jenis instruksi, operand, operasi, teknik pengalamatan, serta format set instruksi.
Materi yang ada pada slide ini berisi :
Review OOP Concept
Latar belakang adanya abstrak
Definisi Kelas Abstrak
Format sintaks
Menurunkan kelas abstract
Method abstrak
----------------------------------------------------------------------
Keep in touch with me in :
Twitter : https://twitter.com/rizkiadam_1991
Email : [email protected]
Github : https://github.com/RizkiAdamKurniawan
IG : @rizkiadamkurniawan
Program mengisi register Y dengan melakukan beberapa operasi aritmatika dan logika terhadap register dan memori. Register Y akhirnya berisi 20 setelah melalui proses LOAD, ADD, SUB, MPY, dan DIV.
Algoritma dan Struktur Data - Struktur DataKuliahKita
Dokumen ini membahas tentang struktur data dan algoritma. Struktur data adalah cara mengorganisasikan data di program agar dapat disimpan dan diakses secara efisien. Ada beberapa bentuk struktur data seperti kumpulan elemen data yang dibungkus dalam tipe, stack, queue, array, list, tree dan lainnya. Contoh struktur data adalah definisi jam yang memiliki atribut Hour, Minute, Second.
Sistem ini bertujuan untuk mengotomatisasi proses pendaftaran santri baru secara online untuk meningkatkan efisiensi dan mengurangi biaya. Lingkup proyek ini meliputi pengembangan perangkat lunak untuk mendukung pendaftaran calon santri, verifikasi berkas, rekomendasi pengasuh, dan pembagian kamar secara digital.
Monitoring Protokol ICMP (ping) dengan WiresharkHanif Yogatama
Protokol Internet Control Message Protocol (ICMP) digunakan untuk mengirim pesan kesalahan dan mendeteksi ketersediaan jaringan melalui aplikasi ping. Wireshark dapat memantau trafik ICMP saat ping dilakukan ke alamat tujuan. Proses ping mengirim permintaan echo kemudian menerima balasan yang menunjukkan waktu respons dan mengonfirmasi konektivitas jaringan.
Dokumen tersebut membahas tentang 7 layer OSI dan protokol-protokol yang terkait. Dokumen tersebut juga menjelaskan bagaimana protokol-protokol pada layer OSI tertentu dapat diamati menggunakan Wireshark, seperti TCP, ARP, dan UDP.
FDD menggunakan dua frekuensi terpisah untuk komunikasi dua arah antara stasiun basis dan stasiun mobile secara simultan, sedangkan TDD membagi waktu pada satu frekuensi untuk komunikasi dua arah secara bergantian. UMTS menggunakan baik FDD maupun TDD dengan mempertimbangkan kelebihan dan kekurangan masing-masing metode untuk area pelayanan yang sesuai.
Dokumen tersebut merangkum definisi sistem operasi, layanan utama yang disediakan sistem operasi seperti antarmuka pengguna, eksekusi program, operasi I/O, manajemen berkas, komunikasi, deteksi kesalahan, alokasi sumber daya, akuntansi, proteksi dan keamanan, serta struktur sistem operasi seperti struktur sederhana, pendekatan layer, mikrokernel, modul, mesin virtual, dan mesin virtual Java.
Perencanaan Testing :
• Obyektifitas Rencana Testing
• Rencana Tes Berdasarkan pada Standar IEEE
• Hal-Hal yang Berhubungan dengan Rencana Tes
• Kerangka Rencana Tes Sederhana
• Testing Terstruktur vs Testing Tidak Terstruktur
This document discusses looping structures in algorithms and programming. It defines looping as repeating statements to fulfill a looping condition. The main types of looping structures are for, while, and repeat loops. Examples are given in pseudocode and Pascal to illustrate for loops that count ascending and descending, while loops, and repeat loops. Exercises are provided to practice different types of loops.
DataCite's Executive Director, Patricia Cruse on ORCID auto-update functionality (note, these slides were prepared for our November 2015 Outreach Meeting, but weren't presented due to time constraints)
El documento presenta un ejercicio de sensibilización hacia la metodología del aprendizaje por proyectos y el aprendizaje basado en problemas. El objetivo es construir una torre de conocimiento colaborativamente en una hora, siguiendo las instrucciones provistas. El proyecto se divide en etapas de análisis, planeación, ejecución y evaluación. Al finalizar, los estudiantes deben presentar y argumentar por qué su torre es la mejor.
Mid Level Counterintelligence Analyst - AfghanistanAngelene Green
Mid Level Counterintelligence Analyst - Afghanistan
Veterans should login or register at www.casy.us, Click on the Job Seeker tab and search for: Req: 180262BR.
O documento apresenta uma introdução ao teste de software, discutindo sua história, objetivos, processos, técnicas e ferramentas. Inclui tópicos como planejamento, projeto, execução e entrega de testes, níveis de teste, técnicas como caixa preta e branca e critérios como análise de valor limite e tabela de decisão. Por fim, fornece referências sobre o tema.
Algorithm and Programming (Introduction of dev pascal, data type, value, and ...Adam Mukharil Bachtiar
This file contains explanation about introduction of dev pascal, data type, value, and identifier. This file was used in my Algorithm and Programming Class.
Dokumen tersebut memberikan penjelasan mengenai konsep dasar data mining klasifikasi, proses klasifikasi menggunakan algoritma Naive Bayes, serta contoh kasus klasifikasi menggunakan atribut usia, pendapatan, pekerjaan, dan punya deposito atau tidak.
This document provides the table of contents for Volume I of A History of Science by Henry Smith Williams and Edward H. Williams. The volume focuses on the beginnings of science, with Book I covering prehistoric science through the science of the Roman period. Chapter I discusses prehistoric science, noting that even early humans possessed basic scientific knowledge through observation and classification of the natural world. The document sets the stage for examining the origins and development of science from prehistory through ancient civilizations.
The document provides an overview of ABAP (Advanced Business Application Programming) programming. It outlines the structure of an ABAP course including chapters on list processing, open SQL, event-driven programming, modularization, and debugging. It also describes the basic concepts of ABAP including data types, variables, structures, constants, system fields and statements like MOVE, CLEAR and FIELD-SYMBOLS.
The document provides an overview of ABAP (Advanced Business Application Programming) programming. It discusses the structure of ABAP programs, data objects, predefined data types, and other key concepts like structures, constants, system fields, MOVE statement, and CLEAR statement. The outline includes 6 chapters that cover topics like introduction to ABAP, list processing, open SQL, event-driven programming, modularization, and debugging techniques.
The document provides an overview of ABAP (Advanced Business Application Programming) programming. It discusses the structure of ABAP programs, data objects, basic statements and features. The key topics covered are:
1. The structure of ABAP programs including reports, dialog programs and transactions.
2. Data objects in ABAP such as variables, structures, internal tables, constants and field symbols.
3. Basic statements for data manipulation like MOVE, WRITE, IF and LOOP.
4. Features of ABAP like its independence from operating systems, subset of SQL called Open SQL and event-driven programming.
The document provides an overview of ABAP (Advanced Business Application Programming) programming. It outlines the structure of an ABAP course including chapters on list processing, open SQL, event-driven programming, modularization, and debugging. It also describes the basic features and structure of the ABAP language, including data objects, control statements, and event handling.
The document provides an overview of ABAP (Advanced Business Application Programming) programming. It discusses the structure of ABAP programs, data objects, basic statements and features. The key topics covered are:
1. The structure of ABAP programs including reports, dialog programs, and transactions.
2. Data objects in ABAP such as variables, structures, internal tables, and field symbols.
3. Basic statements for data manipulation like MOVE, WRITE, and IF.
4. Features of ABAP such as its independence from operating systems and integrated SQL functionality.
The document provides an overview of ABAP (Advanced Business Application Programming) programming. It outlines the structure of an ABAP course including chapters on list processing, open SQL, event-driven programming, modularization, and debugging. It also describes the basic concepts of ABAP including data types, variables, structures, constants, and system fields.
Stranger in These Parts. A Hired Gun in the JS Corral (JSConf US 2012)Igalia
This document summarizes Andy Wingo's talk at JSConf 2012 about his work on the JavaScriptCore engine. It discusses the different tiers of just-in-time compilation in JSC, including the low-level interpreter (LLInt), baseline JIT, and optimizing DFG JIT. It also covers techniques like lazy compilation, inline caching, and value profiling that JSC uses to improve performance. Finally, it mentions parallel garbage collection and how the engine is ported to different platforms.
This document outlines the steps needed to port the LLVM backend to support a new target. It discusses adding support for the new target in areas like CMake configuration, target triples, instruction definitions, register definitions, calling conventions, instruction selection, and code generation. The process involves modifying LLVM headers, defining target descriptions in TableGen files, implementing target-specific classes, and registering the new target. Following the outlined steps will allow LLVM to recognize and support code generation for the new target.
This document discusses functions and arrays in C++. It explains that functions allow programmers to break programs into smaller, reusable modules. It describes common math library functions and how functions are defined and prototyped. It also explains that arrays allow storing multiple values of the same type in contiguous memory locations that can be indexed with an integer. The document provides examples of defining, initializing, and accessing elements in arrays.
This document discusses principles of clean code and software craftsmanship. It covers topics such as what constitutes clean code through examples of good and bad code. Other sections provide guidance on naming conventions, functions, comments, formatting, error handling, unit testing, and class design. The document emphasizes that code should be written to be readable, reusable, and maintainable.
The document provides information on advanced assembly language procedures. It discusses the PROC, ADDR, INVOKE and PROTO directives which are used to declare and call procedures. The PROC directive declares a procedure with optional parameters, while INVOKE simplifies procedure calls by passing parameters in a single statement. PROTO creates a procedure prototype. ADDR returns the address of a variable. Stack frames and how parameters and local variables are accessed on the stack are explained. Recursive procedures and how they use stack frames are covered, with examples to calculate a sum and factorial recursively. Finally, the document discusses creating multimodule programs by dividing code across multiple source files that are assembled and linked together.
Here are the key differences between CALL and INVOKE in x86 assembly:
- CALL is used to call a procedure without passing any parameters, while INVOKE allows passing parameters to procedures.
- When using CALL, any parameters need to be passed via registers or stack before the CALL. INVOKE handles pushing parameters onto the stack.
- A procedure called with CALL must pop its own parameters from the stack after the call, while a procedure called with INVOKE has the parameters automatically popped from the stack.
- INVOKE provides a simpler, higher-level way of calling procedures that mimics function calls in high-level languages by automatically handling parameter passing via the stack. CALL requires manually handling the
Presentation on native interfaces for the R programming language given as part of a course in advanced R programming at FHCRC:
https://secure.bioconductor.org/SeattleMay10/
The Ring programming language version 1.5.3 book - Part 35 of 184Mahmoud Samir Fayed
The document provides documentation on various functions available in the Ring programming language standard library (stdlib). It describes functions for generating permutations, reading lines from a file, finding substrings, changing substrings, sleeping, checking if a file is the main source file, checking if a directory exists, making directories, getting file sizes, trimming strings, getting the epoch time, executing system commands, listing all files in a folder, and more. It also provides details on classes in the stdlib like the String, List, Stack, Queue, HashTable, Tree, Math, DateTime, File, and other classes along with their methods.
Parsers Combinators in Scala, Ilya @lambdamix KliuchnikovVasil Remeniuk
The document describes parser combinators in Scala. Parser combinators allow building parsers from simple parsing functions combined using operators like ~ (sequence) and | (choice). This approach implements recursive descent parsing with backtracking. Examples show building parsers for arithmetic expressions and lambda calculus terms using parser combinators. The key advantages of the parser combinator approach are that it is functional in nature, parsers can be composed from small reusable pieces, and backtracking allows robust handling of parsing errors.
Biopython is a set of freely available Python tools for bioinformatics and molecular biology. It provides features like parsing bioinformatics files into Python structures, a sequence class to store sequences and features, and interfaces to popular bioinformatics programs. Biopython can be used to address common bioinformatics problems like sequence manipulation, searching for primers, and running BLAST searches. The current version is 1.53 from December 2009 and future plans include updating the multiple sequence alignment object and adding a Bio.Phylo module.
The document discusses stored procedures in databases. It defines stored procedures as procedures that are stored in a database with a name, parameter list, and SQL statements. The key points covered include:
- Stored procedures are created using the CREATE PROCEDURE statement and can contain SQL statements and control flow statements like IF/THEN.
- Parameters can be used to pass data into and out of stored procedures.
- Variables can be declared and used within stored procedures.
- Cursors allow stored procedures to iterate through result sets row by row to perform complex logic.
- Error handling and exceptions can be managed within stored procedures using DECLARE HANDLER.
Stored procedures offer benefits
Dokumen tersebut memberikan tips untuk membuat formatting kode program yang baik agar mudah dibaca dan dipahami. Terdapat dua jenis formatting, yaitu vertical dan horizontal formatting. Secara vertical, kode perlu diatur dengan memperhatikan konsep-konsep, jarak antar konsep, kerapatan kode yang berkaitan, dan letak deklarasi dan pemanggilan fungsi. Secara horizontal, perlu memperhatikan pemberian jarak, penyamaan baris, dan pengindentasian untuk membedakan struktur program.
Slide ini menjelaskan perihal penggunaan komentar yang baik dan buruk pada suatu kode program. Slide ini merupakan bahan ajar untuk mata kuliah Clean Code dan Design Pattern.
Dokumen tersebut memberikan tips-tips untuk membuat nama variabel, fungsi, kelas, dan paket yang baik dalam pembuatan kode program. Beberapa tips utama adalah menggunakan nama yang jelas maksudnya, hindari penggunaan encoding, gunakan kata benda untuk nama kelas dan verba untuk nama metode, serta tambahkan konteks yang bermakna.
Dokumen tersebut membahas tentang pengujian perangkat lunak, termasuk definisi pengujian perangkat lunak, tujuan pengujian, jenis pengujian seperti manual testing, automated testing, unit testing, integration testing, serta metode pengujian seperti white box testing dan black box testing.
Slide ini berisi penjelasan tentang Data Mining Klasifikasi. Di dalamnya ada tiga algoritma yang dibahas, yaitu: Naive Bayes, kNN, dan ID3 (Decision Tree).
Dokumen tersebut membahas algoritma program dinamis untuk menentukan lintasan terpendek antara dua simpul dalam sebuah graf. Metode yang digunakan adalah program dinamis mundur dimana permasalahan dibagi menjadi beberapa tahap dan dihitung secara mundur untuk menentukan nilai optimal pada setiap tahap. Hasil akhir adalah terdapat tiga lintasan terpendek dengan panjang 11 antara simpul 1 dan 10.
Teks tersebut membahas strategi algoritma Divide and Conquer untuk memecahkan masalah. Strategi ini membagi masalah menjadi submasalah kecil, memecahkan submasalah tersebut secara rekursif, lalu menggabungkan hasilnya untuk mendapatkan solusi masalah awal. Dua contoh masalah yang dijelaskan adalah mencari nilai maksimum dan minimum dalam tabel, serta mencari pasangan titik terdekat dalam himpunan titik.
Slide ini berisi penjelasan tentang teorema-teorema yang berlaku untuk notasi asimptotik beserta cara perhitungannya untuk kebutuhan waktu suatu algoritma.
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).
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
Code and No-Code Journeys: The Coverage OverlookApplitools
Explore practical ways to expand visual and functional UI coverage without deep coding or heavy maintenance in this session. Session recording and more info at applitools.com
The Future of Open Source Reporting Best Alternatives to Jaspersoft.pdfVarsha Nayak
In recent years, organizations have increasingly sought robust open source alternative to Jasper Reports as the landscape of open-source reporting tools rapidly evolves. While Jaspersoft has been a longstanding choice for generating complex business intelligence and analytics reports, factors such as licensing changes and growing demands for flexibility have prompted many businesses to explore other options. Among the most notable alternatives to Jaspersoft, Helical Insight stands out for its powerful open-source architecture, intuitive analytics, and dynamic dashboard capabilities. Designed to be both flexible and budget-friendly, Helical Insight empowers users with advanced features—such as in-memory reporting, extensive data source integration, and customizable visualizations—making it an ideal solution for organizations seeking a modern, scalable reporting platform. This article explores the future of open-source reporting and highlights why Helical Insight and other emerging tools are redefining the standards for business intelligence solutions.
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.
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.
Automating Map Production With FME and PythonSafe Software
People still love a good paper map, but every time a request lands on a GIS team’s desk, it takes time to create that perfect, individual map—even when you're ready and have projects prepped. Then come the inevitable changes and iterations that add even more time to the process. This presentation explores a solution for automating map production using FME and Python. FME handles the setup of variables, leveraging GIS reference layers and parameters to manage details like map orientation, label sizes, and layout elements. Python takes over to export PDF maps for each location and template size, uploading them monthly to ArcGIS Online. The result? Fresh, regularly updated maps, ready for anyone to grab anytime—saving you time, effort, and endless revisions while keeping users happy with up-to-date, accessible maps.
In today's world, artificial intelligence (AI) is transforming the way we learn.
This talk will explore how we can use AI tools to enhance our learning experiences, by looking at some (recent) research that has been done on the matter.
But as we embrace these new technologies, we must also ask ourselves:
Are we becoming less capable of thinking for ourselves?
Do these tools make us smarter, or do they risk dulling our critical thinking skills?
This talk will encourage us to think critically about the role of AI in our education. Together, we will discover how to use AI to support our learning journey while still developing our ability to think critically.
Integration Ignited Redefining Event-Driven Architecture at Wix - EventCentricNatan Silnitsky
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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.
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Teams delivering API are challenges with:
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- Measuring API success (audit & lifecycle metrics)
- Partner/Ecosystem onboarding
- Consistent documentation, security, and publishing
🧠 The big takeaway?
Many teams can build APIs. But few connect them to value, visibility, and long-term improvement.
That’s why the APIOps Cycles method helps teams:
📍 Start where the pain is (one “metro station” at a time)
📈 Scale success across strategy, platform, and operations
🛠 Use collaborative canvases to get buy-in and visibility
Want to try it and learn more?
- Follow APIOps Cycles in LinkedIn
- Visit the www.apiopscycles.com site
- Subscribe to email list
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6. Lecturer 1 Lecturer 2
NIP Name Address NIP Name Address
IlustrationofRecord Records were named Lecturer 1 and Lecture 2,
consists of 3 fields each of its.
Field
Name of Record
7. Lecturer 1 Lecturer 2
NIP Name Address NIP Name Address
IlustrationofRecord
Field
Name of Record
If you want to access NIP from Lecturer 1, yu
can do with Lecturer1.NIP
11. Example of Record Declaration (Algorithm)
Kamus:
type
RecordDosen = record
< NIP : integer,
Nama : string,
Gaji : real >
endrecord
Dosen : RecordDosen
16. Input Value to Record (Algorithm)
Format:
input(NamaRecord.NamaField)
Example:
input(Dosen.NIP)
input(Dosen.Nama)
input(Dosen.Gaji)
17. Input Value to Record (Pascal)
Format:
readln(NamaRecord.NamaField);
Example:
readln(Dosen.NIP);
readln(Dosen.Nama);
readln(Dosen.Gaji);
18. Output Value from Record (Algorithm)
Format:
output(NamaRecord.NamaField)
Example:
output(Dosen.NIP)
output(Dosen.Nama)
output(Dosen.Gaji)
19. Output Value from Record (Pascal)
Format:
writeln(NamaRecord.NamaField);
Example:
writeln(Dosen.NIP);
writeln(Dosen.Nama);
writeln(Dosen.Gaji);
21. Example of Record (Algorithm)
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Algoritma RecordDosen
{I.S.: Dideklarasikan dua buah record dosen}
{F.S.: Menampilkan isi record}
Kamus:
type
RecordDosen = record
< NIP : integer,
Nama : string,
Gaji : real >
endrecord
Dosen1,Dosen2 : RecordDosen
23. Example of Record (Algorithm)
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{Output record}
output(Dosen1.NIP)
output(Dosen1.Nama)
output(Dosen1.Gaji)
output(Dosen2.NIP)
output(Dosen2.Nama)
output(Dosen2.Gaji)
24. Example of Record (Pascal)
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program RecordDosenIF;
uses crt;
type
RecordDosen=record
NIP:longint;
Nama:string;
Gaji:double;
end;
var
Dosen1,Dosen2:RecordDosen;
25. Example of Record (Pascal)
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{input record}
write('Masukkan NIP dosen pertama : ');
readln(Dosen1.NIP);
write('Masukkan Nama dosen pertama : ');
readln(Dosen1.Nama);
write('Masukkan Gaji dosen pertama : ');
readln(Dosen1.Gaji);
writeln();
write('Masukkan NIP dosen kedua : ');
readln(Dosen2.NIP);
write('Masukkan Nama dosen kedua : ');
readln(Dosen2.Nama);
write('Masukkan Gaji dosen kedua : ');
26. Example of Record (Pascal)
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readln(Dosen2.Gaji);
{Operasi pada field record}
Dosen1.Gaji:=Dosen1.Gaji+1000000; {karena THR}
Dosen2.Gaji:=Dosen2.Gaji-100000; {karena telat}
{output record}
writeln();
writeln('NIP dosen pertama = ',Dosen1.NIP);
writeln('Nama dosen pertama = ',Dosen1.Nama);
writeln('Gaji dosen pertama = ',Dosen1.Gaji:0:2);
27. Example of Record (Pascal)
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writeln();
writeln('NIP dosen kedua = ',Dosen2.NIP);
writeln('Nama dosen kedua = ',Dosen2.Nama);
writeln('Gaji dosen kedua = ',Dosen2.Gaji:0:2);
writeln();
write('Tekan sembarag tombol untuk menutup...');
readkey();
end.
28. Example of Record (Pascal)
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jumlah2:=jumlah2+bil2[i];
end;
writeln('Jumlah elemen array bil 2 = ',jumlah2);
writeln();
write('Tekan sembarang tombol untuk menutup...');
readkey();
end.
32. [1] [2]
NIP Name Address NIP Name Address
IlustrationofArrayofRecord Had been declared an array that had Lecturer
type consists of 3 fields each of element.
To access this i call Lecturer [1].NIP
Lecturer
33. Array of Record Declaration (Algorithm)
Kamus:
const
maks = value
type
TipeRecord = record
< field_1 : TipeData_1,
field_2 : TipeData_2,
..
field_n : TipeData_n >
endrecord
NamaArrayofRecord = array [1..maks] of TipeRecord
NamaRecord : NamaArrayofRecord
34. Example of Array of Record Declaration (Algorithm)
Kamus:
const
maks = 20
type
DosenIF = record
< NIP : integer,
Nama : string,
Gaji : real >
endrecord
ArrayDosenIF = array [1..maks] of DosenIF
Dosen: ArrayDosenIF
35. Array of Record Declaration (Pascal)
const
maks = value;
type
TipeRecord = record
field_1 : TipeData_1;
field_2 : TipeData_2;
..
field_n : TipeData_n;
end;
NamaArrayofRecord = array [1..maks] of TipeRecord;
var
NamaRecord : NamaArrayofRecord;
36. Example of Array of Record Declaration (Pascal)
const
maks = 20;
type
DosenIF = record
NIP : longint;
Nama : string;
Gaji : double;
end;
ArrayDosenIF = array [1..maks] of DosenIF;
var
Dosen: ArrayDosenIF;
39. Input Value to Array of Record (Algorithm)
Format:
input(NamaRecord[indeks].NamaField)
Example:
input(Dosen[1].NIP)
input(Dosen[1].Nama)
input(Dosen[1].Gaji)
40. Input Value to Array of Record (Pascal)
Format:
readln(NamaRecord[indeks].NamaField);
Example:
readln(Dosen[1].NIP);
readln(Dosen[1].Nama);
readln(Dosen[1].Gaji);
41. Output Value from Array from Record (Algorithm)
Format:
output(NamaRecord[indeks].NamaField)
Example:
output(Dosen[1].NIP)
output(Dosen[1].Nama)
output(Dosen[1].Gaji)
42. Output Value from Array from Record (Pascal)
Format:
writeln(NamaRecord[indeks].NamaField);
Example:
writeln(Dosen[1].NIP);
writeln(Dosen[1].Nama);
writeln(Dosen[1].Gaji);
44. Example of Array of Record (Algorithm)
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Algoritma ArrayRecordMakananMinuman
{I.S : didefinisikan dua array of record food and drink}
{F.S : menampilkan array of record beserta operasinya}
const
maks=3;
type
RecordMakanan = record
< KodeMakanan:integer,
NamaMakanan:string,
HargaMakanan:real,
DiskonMakanan:real >
endrecord
45. Example of Array of Record (Algorithm)
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RecordMinuman = record
< KodeMinuman:integer,
NamaMinuman:string,
HargaMinuman:real,
DiskonMinuman:real >
endrecord
{array of record}
ArrayMakanan = array [1..maks] of RecordMakanan;
ArrayMinuman = array [1..maks] of RecordMinuman;
Makanan:ArrayMakanan;
Minuman:ArrayMinuman;
TotalHarga:real;
i:integer;
46. Example of Array of Record (Algorithm)
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Algoritma:
{input record}
for i 1 to maks do
input(Makanan[i].KodeMakanan)
input(Makanan[i].NamaMakanan);
input(Makanan[i].HargaMakanan)
input(Makanan[i].DiskonMakanan)
endfor
for i 1 to maks do
input(Minuman[i].KodeMinuman)
input(Minuman[i].NamaMinuman)
input(Minuman[i].HargaMinuman)
input(Minuman[i].DiskonMinuman)
endfor
47. Example of Array of Record (Algorithm)
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{perhitungan total harga}
TotalHarga 0
for i 1 to maks do
TotalHarga TotalHarga+(Makanan[i].HargaMakanan
(Makanan[i].HargaMakanan*Makanan[i].DiskonMakanan))
+(Minuman[i].HargaMinuman-
(Minuman[i].HargaMinuman*Minuman[i].DiskonMinuman))
endfor
{output record}
for i 1 to maks do
output(Makanan[i].KodeMakanan)
output(Makanan[i].NamaMakanan)
output(Makanan[i].HargaMakanan)
output(Makanan[i].DiskonMakanan)
endfor
48. Example of Array of Record (Algorithm)
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for i 1 to maks do
output(Minuman[i].KodeMinuman)
output(Minuman[i].NamaMinuman)
output(Minuman[i].HargaMinuman)
output(Minuman[i].DiskonMinuman)
endfor
output(TotalHarga);
49. Example of Array of Record (Pascal)
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program MenuMakananMinuman;
uses crt;
const
maks=3;
type
RecordMakanan = record
KodeMakanan:integer;
NamaMakanan:string;
HargaMakanan:real;
DiskonMakanan:real;
end;
50. Example of Array of Record (Pascal)
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RecordMinuman = record
KodeMinuman:integer;
NamaMinuman:string;
HargaMinuman:real;
DiskonMinuman:real;
end;
{array of record}
ArrayMakanan=array [1..maks] of RecordMakanan;
ArrayMinuman=array [1..maks] of RecordMinuman;
var
Makanan:ArrayMakanan;
Minuman:ArrayMinuman;
TotalHarga:real;
i:integer;
51. Example of Array of Record (Pascal)
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begin
{input record}
for i:=1 to maks do
begin
write('Masukkan kode makanan ',i,' : ');
readln(Makanan[i].KodeMakanan);
write('Masukkan nama makanan ',i,' : ');
readln(Makanan[i].NamaMakanan);
write('Masukkan harga makanan ',i,' : ');
readln(Makanan[i].HargaMakanan:0:2);
write('Masukkan diskon makanan ',i,' : ');
readln(Makanan[i].DiskonMakanan:0:2);
end;
52. Example of Array of Record (Pascal)
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writeln();
for i:=1 to maks do
begin
write('Masukkan kode Minuman ',i,' : ');
readln(Minuman[i].KodeMinuman);
write('Masukkan nama Minuman ',i,' : ');
readln(Minuman[i].NamaMinuman);
write('Masukkan harga Minuman ',i,' : ');
readln(Minuman[i].HargaMinuman:0:2);
write('Masukkan diskon Minuman ',i,' : ');
readln(Minuman[i].DiskonMinuman:0:2);
end;
53. Example of Array of Record (Pascal)
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{perhitungan total harga}
TotalHarga:=0;
for i:=1 to maks do
TotalHarga:=TotalHarga+(Makanan[i].HargaMakanan
(Makanan[i].HargaMakanan*Makanan[i].DiskonMakanan))
+(Minuman[i].HargaMinuman-
(Minuman[i].HargaMinuman*Minuman[i].DiskonMinuman));
{output record}
clrscr();
for i:=1 to maks do
begin
writeln('Kode makanan ',i,' adalah ',Makanan[i].KodeMakanan);
writeln('Nama makanan ',i,' adalah ',Makanan[i].NamaMakanan);
54. Example of Array of Record (Pascal)
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writeln('Harga makanan ',i,' adalah ',Makanan[i].HargaMakanan:0:2);
writeln('Diskon makanan ',i,' adalah ',Makanan[i].DiskonMakanan:0:2);
end;
writeln();
for i:=1 to maks do
begin
writeln('Kode Minuman ',i,' adalah ',Minuman[i].KodeMinuman);
writeln('Nama Minuman ',i,' adalah ',Minuman[i].NamaMinuman);
writeln('Harga Minuman ',i,' adalah ',Minuman[i].HargaMinuman);
writeln('Diskon Minuman ',i,' adalah ',Minuman[i].DiskonMinuman);
end;
writeln();
writeln('Total harga yang harus dibayar adalah : Rp. ',TotalHarga:0:2);
writeln();
write('Tekan sembarang tombol untuk menutup...');
readkey();
end.