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Many data engineers and analysts start their journey with Postgres. It’s the Swiss Army knife of databases, and for many applications, it’s more than sufficient. But data volumes grow, analytical demands become more complex, and Postgres stops being enough.
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The Data News are here to stay, the format might vary during the year, but here we are for another year. We published videos about the Forward Data Conference, you can watch Hannes, DuckDB co-creator, keynote about Changing Large Tables. HNY 2025 ( credits ) Happy new year ✨ I wish you the best for 2025. Not really digest.
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Saying mainly that " Sora is a tool to extend creativity " Last point Mira has been mocked and criticised online because as a CTO she wasn't able to say on which public / licensed data Sora has been trained on. Pandera, a data validation library for dataframes, now supports Polars.
Building more efficient AI TLDR : Data-centric AI can create more efficient and accurate models. I experimented with data pruning on MNIST to classify handwritten digits. What if I told you that using just 50% of your training data could achieve better results than using the fulldataset? Image byauthor.
How CDC tools use MySQL Binlog and PostgreSQL WAL with logical decoding for real-time data streaming Photo by Matoo.Studio on Unsplash CDC (Change Data Capture) is a term that has been gaining significant attention over the past few years. Log-based CDC : This method utilizes the databases transaction log to capture every change made.
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As we turn the corner into 2025, were excited to announce that for the 7th quarter in a row, Monte Carlo has been named G2s #1 Data Observability Platform, as well as #1 in the Data Quality category. Knowing our products are helping our customers achieve their data goals means everything to us. Image courtesy of G2.
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Three Zero-Cost Solutions That Take Hours, NotMonths A data quality certified pipeline. Source: unsplash.com In my career, data quality initiatives have usually meant big changes. Whats more, fixing the data quality issues this way often leads to new problems. Create a custom dashboard for your specific data qualityproblem.
Many of our customers — from Marriott to AT&T — start their journey with the Snowflake AI Data Cloud by migrating their data warehousing workloads to the platform. Today we’re focusing on customers who migrated from a cloud data warehouse to Snowflake and some of the benefits they saw. million in cost savings annually.
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Events Data + AI Summit Data + AI World Tour Data Intelligence Days Event Calendar Blog and Podcasts Databricks Blog Explore news, product announcements, and more Databricks Mosaic Research Blog Discover the latest in our Gen AI research Data Brew Podcast Let’s talk data! REGISTER Ready to get started?
Data transformations are the engine room of modern data operations — powering innovations in AI, analytics and applications. As the core building blocks of any effective data strategy, these transformations are crucial for constructing robust and scalable data pipelines. This puts data engineers in a critical position.
The current database includes 2,000 server types in 130 regions and 340 zones. Storing data: data collected is stored to allow for historical comparisons. Results are stored in git and their database, together with benchmarking metadata. Visualizing the data: the frontend that allows querying of live and historic data.
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Semih is a researcher and entrepreneur with a background in distributed systems and databases. He then pursued his doctoral studies at Stanford University, delving into the complexities of database systems. Dont forget to subscribe to my YouTube channel to get the latest on Unapologetically Technical!
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Whether it was moving data from a local database instance to S3 or some other data storage layer. As… Read more The post What Is AWS DMS And Why You Shouldn’t Use It As An ELT appeared first on Seattle Data Guy. It was interesting to see AWS DMS used in this manner. But it’s not what DMS was built for.
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Are you a data science enthusiast looking to enhance your Python Flask skills? Check out these exciting python flask projects that will help you apply your Flask knowledge to solve real-world data science challenges. Here is the list of the best Python Flask projects ideal for data experts. This is where Python Flask comes in.
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