Fri.Dec 06, 2024

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AWS S3 Tables. Technical Introduction.

Confessions of a Data Guy

Well, everyone is abuzz with the recently announced S3 Tables that came out of AWS reinvent this year. I’m going to call fools gold on this one right out of the gate. I tried them out, in real life that is, not just some marketing buzz, and it will leave most people, not all, be […] The post AWS S3 Tables. Technical Introduction. appeared first on Confessions of a Data Guy.

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The Struggle Between Data Dark Ages and LLM Accuracy

Cloudera

Artificial Intelligence promises to transform lives and business as we know it. But what does that future look like? The AI Forecast: Data and AI in the Cloud Era , sponsored by Cloudera, aims to take an objective look at the impact of AI on business, industry, and the world at large. Hosted weekly by Paul Muller, The AI Forecast speaks to experts in the space to understand the ins and outs of AI in the enterprise, the kinds of data architectures and infrastructures that support it, the guardrai

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Best Data Preparation Tools for 2025 [Ranked by Popularity]

Hevo

Data preparation tools are very important in the analytics process. They transform raw data into a clean and structured format ready for analysis. These tools simplify complex data-wrangling tasks like cleaning, merging, and formatting, thus saving precious time for analysts and data teams.

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Webinar: Data Quality in a Medallion Architecture – 2024

DataKitchen

Would you like help maintaining high-quality data across every layer of your Medallion Architecture? Like an Olympic athlete training for the gold, your data needs a continuous, iterative process to maintain peak performance. We covered how Data Quality Testing, Observability, and Scorecards turn data quality into a dynamic process, helping you build accuracy, consistency, and trust at each layerBronze, Silver, and Gold.

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Mastering Apache Airflow® 3.0: What’s New (and What’s Next) for Data Orchestration

Speaker: Tamara Fingerlin, Developer Advocate

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.

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Test smarter not harder: Where should tests go in your pipeline?

dbt Developer Hub

Greetings, dbters! Its Faith & Jerrie, back again to offer tactical advice on where to put tests in your pipeline. In our first post on refining testing best practices, we developed a prioritized list of data quality concerns. We also documented first steps for debugging each concern. This post will guide you on where specific tests should go in your data pipeline.

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Hevo vs Airflow: The Better Tool?

Hevo

Data integration is an integral part of modern business strategy, enabling businesses to convert raw data into actionable information and make data-driven decisions. Tools like Apache Airflow are used and popular for workflow automation. However, its technical complexities and steeper learning curve can create a challenge for teams that require an efficient real-time data pipeline.

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Marketing Data Warehouse: An Easy Guide and Everything You Need to Know

Hevo

We know just how hard it is to run your marketing data. The variety of campaigns running through platforms, such as Google Ads, Facebook, and HubSpot, among others, gives the kind of information that would just flood you.

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Matillion vs Airflow: Which one to choose in 2025?

Hevo

Matillion is a cloud-based ETL tool known for its user-friendly, low-code interface. It’s great for teams that want to get pipelines up and running quickly without heavy coding. It also integrates seamlessly with cloud platforms like Snowflake, BigQuery, and Redshift, making it a solid choice for companies already working in the cloud.