Unix Command Line Productivity Tips

May 26, 200831 likes7,352 views

The document provides tips for improving productivity when using the Unix command line. It discusses advantages of the shell like flexibility and chaining commands together. It then gives examples of using shell commands in scripting languages. The majority of the document provides examples of specific Unix commands like grep, find, less and their usage for tasks like file searching, viewing files and directory listings. It concludes with tips on aliases, environment variables and symbolic links.

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Jacobs has successfully utilized FME to tackle the complexities of integrating diverse data sources in a confidential $1 billion campus improvement project. The project aimed to create a comprehensive digital twin by merging Building Information Modeling (BIM) data, Construction Operations Building Information Exchange (COBie) data, and various other data sources into a unified Geographic Information System (GIS) platform. The challenge lay in the disparate nature of these data sources, which were siloed and incompatible with each other, hindering efficient data management and decision-making processes. To address this, Jacobs leveraged FME to automate the extraction, transformation, and loading (ETL) of data between ArcGIS Indoors and IBM Maximo. This process ensured accurate transfer of maintainable asset and work order data, creating a comprehensive 2D and 3D representation of the campus for Facility Management. FME's server capabilities enabled real-time updates and synchronization between ArcGIS Indoors and Maximo, facilitating automatic updates of asset information and work orders. Additionally, Survey123 forms allowed field personnel to capture and submit data directly from their mobile devices, triggering FME workflows via webhooks for real-time data updates. This seamless integration has significantly enhanced data management, improved decision-making processes, and ensured data consistency across the project lifecycle.

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National Fuels Treatments Initiative: Building a Seamless Map of Hazardous Fu...Safe Software

The National Fuels Treatments Initiative (NFT) is transforming wildfire mitigation by creating a standardized map of nationwide fuels treatment locations across all land ownerships in the United States. While existing state and federal systems capture this data in diverse formats, NFT bridges these gaps, delivering the first truly integrated national view. This dataset will be used to measure the implementation of the National Cohesive Wildland Strategy and demonstrate the positive impact of collective investments in hazardous fuels reduction nationwide. In Phase 1, we developed an ETL pipeline template in FME Form, leveraging a schema-agnostic workflow with dynamic feature handling intended for fast roll-out and light maintenance. This was key as the initiative scaled from a few to over fifty contributors nationwide. By directly pulling from agency data stores, oftentimes ArcGIS Feature Services, NFT preserves existing structures, minimizing preparation needs. External mapping tables ensure consistent attribute and domain alignment, while robust change detection processes keep data current and actionable. Now in Phase 2, we’re migrating pipelines to FME Flow to take advantage of advanced scheduling, monitoring dashboards, and automated notifications to streamline operations. Join us to explore how this initiative exemplifies the power of technology, blending FME, ArcGIS Online, and AWS to solve a national business problem with a scalable, automated solution.

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FME Flow is a highly robust tool for transforming data both automatically and by user-initiated workflows. At the Finnish telecommunications company Elisa, FME Flow serves processes and internal stakeholders that require 24/7 availability from underlying systems, while imposing limitations on the use of cloud based systems. In response to these business requirements, Elisa has implemented a high-availability on-premises setup of FME Flow, where all components of the system have been duplicated or clustered. The goal of the presentation is to provide insights into the architecture behind the high-availability functionality. The presentation will show in basic technical terms how the different parts of the system work together. Basic level understanding of IT technologies is required to understand the technical portion of the presentation, namely understanding the purpose of the following components: load balancer, FME Flow host nodes, FME Flow worker nodes, network file storage drives, databases, and external authentication services. The presentation will also outline our lessons learned from the high-availability project, both benefits and challenges to consider.

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In today's cloud-native landscape, Kubernetes has become the de facto standard for orchestrating containerized applications, but its inherent complexity introduces unique security challenges. Are you one YAML away from disaster? This presentation, "Kubernetes Security: Act Now Before It’s Too Late," is your essential guide to understanding and mitigating the critical security risks within your Kubernetes environments. This presentation dives deep into the OWASP Kubernetes Top Ten, providing actionable insights to harden your clusters. We will cover: The fundamental architecture of Kubernetes and why its security is paramount. In-depth strategies for protecting your Kubernetes Control Plane, including kube-apiserver and etcd. Crucial best practices for securing your workloads and nodes, covering topics like privileged containers, root filesystem security, and the essential role of Pod Security Admission. Don't wait for a breach. Learn how to identify, prevent, and respond to Kubernetes security threats effectively. It's time to act now before it's too late!

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For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2025/06/why-its-critical-to-have-an-integrated-development-methodology-for-edge-ai-a-presentation-from-lattice-semiconductor/ Sreepada Hegade, Director of ML Systems and Software at Lattice Semiconductor, presents the “Why It’s Critical to Have an Integrated Development Methodology for Edge AI” tutorial at the May 2025 Embedded Vision Summit. The deployment of neural networks near sensors brings well-known advantages such as lower latency, privacy and reduced overall system cost—but also brings significant challenges that complicate development. These challenges can be addressed effectively by choosing the right solution and design methodology. The low-power FPGAs from Lattice are well poised to enable efficient edge implementation of models, while Lattice’s proven development methodology helps to mitigate the challenges and risks associated with edge model deployment. In this presentation, Hegade explains the importance of an integrated framework that tightly consolidates different aspects of edge AI development, including training, quantization of networks for edge deployment, integration with sensors and inferencing. He also illustrates how Lattice’s simplified tool flow helps to achieve the best trade-off between power, performance and efficiency using low-power FPGAs for edge deployment of various AI workloads.

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No-Code Workflows for CAD & 3D Data: Scaling AI-Driven InfrastructureSafe Software

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Edge-banding-machines-edgeteq-s-200-en-.pdfAmirStern2

National Fuels Treatments Initiative: Building a Seamless Map of Hazardous Fu...Safe Software

Data Validation and System InteroperabilitySafe Software

Murdledescargadarkweb.pdfvolumen1 100 elementaryJorgeSemperteguiMont

Oracle Cloud Infrastructure AI FoundationsVICTOR MAESTRE RAMIREZ

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Analysis of the changes in the attitude of the news comments caused by knowin...Matsushita Laboratory

High Availability On-Premises FME Flow.pdfSafe Software

FIDO Seminar: Evolving Landscape of Post-Quantum Cryptography.pptxFIDO Alliance

PyData - Graph Theory for Multi-Agent Integrationbarqawicloud

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