Mon.Feb 26, 2024

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Alternatives to SSIS(SQL Server Integration Services) – How To Migrate Away From SSIS

Seattle Data Guy

SQL Server Integration Services (SSIS) comes with a lot of functionality useful for extracting, transforming, and loading data. It can also play important roles in application development and other projects. But SSIS is far from the only platform that can provide these services. You might seek alternatives to SSIS because you want a more agile… Read more The post Alternatives to SSIS(SQL Server Integration Services) – How To Migrate Away From SSIS appeared first on Seattle Data Guy.

SQL 130
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8 Built-in Python Decorators to Write Elegant Code

KDnuggets

Developers can modify a function's behavior using decorators, without changing its source code. This provides a concise and flexible way to enhance and extend the functionality of functions.

Coding 115
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How DotSlash makes executable deployment simpler

Engineering at Meta

Andres Suarez and Michael Bolin, two software engineers at Meta, join Pascal Hartig ( @passy ) on the Meta Tech Podcast to discuss the ins and outs of DotSlash , a new open source tool from Meta. DotSlash takes the pain out of distributing binaries and toolchains to developers. Instead of committing large, platform-specific executables to a repository, DotSlash combines a fast Rust program with a JSON manifest prefixed with a #!

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7 Free Harvard University Courses to Advance Your Skills

KDnuggets

Transform your tech career with one of the best universities in the world!

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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Mainframe and IBM i Observability: Why It Matters to IT

Precisely

In decades past, IT systems were relatively self-contained. Inputs, outputs, and integration points were clearly defined and comparatively few. Today’s systems, however, are highly interconnected and constantly in flux. Data flows from edge devices to core applications and back again. A myriad of data analytics tools provide up-to-the-minute insights to decision-makers throughout the organization.

IT 75
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Announcing bpftop: Streamlining eBPF performance optimization

Netflix Tech

By Jose Fernandez Today, we are thrilled to announce the release of bpftop , a command-line tool designed to streamline the performance optimization and monitoring of eBPF applications. As Netflix increasingly adopts eBPF [ 1 , 2 ], applying the same rigor to these applications as we do to other managed services is imperative. Striking a balance between eBPF’s benefits and system load is crucial, ensuring it enhances rather than hinders our operational efficiency.

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Why Evolutionary Architecture is Important in a Data-Driven World

The Modern Data Company

It’s a tale as old as time. A startup manages to disrupt an entire industry only to find itself at a critical juncture a few years down the road. Data, the lifeblood of its operations, was becoming increasingly complex and unwieldy. With each new product launch and market expansion, the data architecture that once supported its growth now threatened to be its Achilles’ heel.

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More Accurate Predictions for Your Day: Machine Learning in Weather Forecasting

WeCloudData

Weather forecasting is a complex science that involves analyzing vast amounts of data from various sources, including satellites, weather stations, and radar systems. The post More Accurate Predictions for Your Day: Machine Learning in Weather Forecasting appeared first on WeCloudData.

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5 Key Principles of Effective Data Modeling for AI

Striim

Artificial intelligence (AI) uses information to make important choices in different industries. Just like a tall building needs a strong plan and base, successful AI requires good data models. While traditional business intelligence and reporting use cases allow some margin of error, hallucinating AI in customer experiences can be costly for a brand.

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Top Data Catalog Tools

Monte Carlo

A data catalog is a constantly updated inventory of the universe of data assets within an organization. It uses metadata to create a picture of the data, as well as the relationships between data assets of diverse sources, and the processing that takes place as data moves through systems. Data catalogs are important because they allow users of varying types to access useful data quickly and effectively and can help team members collaborate and maintain consistent organization-wide data definiti

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.