integrate

The Only Guide You Need to Set up Databricks ETL

Jan 18, 2025 By Donal Tobin In Integrate
Databricks is a cloud-based platform that simplifies ETL (Extract, Transform, Load) processes, making it easier to manage and analyze large-scale data. Powered by Apache Spark and Delta Lake, Databricks ensures efficient data extraction, transformation, and loading with features like real-time processing, collaborative workspaces, and automated workflows.
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integrate

Part 1: The Industry's Fastest Initial & Resync CDC Times

Jan 17, 2025 By Makoto Saito In Integrate
The strong rise of data products in today’s world has made companies introduce new best practices and stricter Service Level Agreements (SLAs) due to their critical functions. Whether these are internal or external-facing data products, experiencing downtime due to data replication issues is a major concern. In the ideal world, there would be no data replication issues, but in reality, they can occur for various reasons, which we’ve outlined below.
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integrate

Part 2: Data Integration Platforms' Initial & Resync Time Benchmark

Jan 17, 2025 By Makoto Saito In Integrate
In Part 1 of this database replication resync time benchmark study, we discussed why minimizing your database replication resync times is of upmost importance when building mission-critical data products. In this Part 2, we share the breakdown of the tests that were carried out and the detailed results for each platform. The six platforms that we benchmarked for their CDC database replication resync times were.
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Unlocking Geospatial Data in Snowflake: Store, Analyze, And Visualize At Scale

Jan 17, 2025 By Snowflake In Snowflake
Snowflake provides for seamless handling of geospatial data, making it easier to work with location-based information directly in your data platform. In this video, we explore Snowflake’s native support for geospatial data, which allows you to store, process, and analyze spatial information at scale. Geospatial data is important because everything happens somewhere. By breaking down silos and combining spatial and non-spatial data, Snowflake empowers you to uncover valuable insights across a wide range of use cases —from mapping to location analytics to geospatial trends.
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qlik

Empowering Real-time Data Replication: Unleashing the Potential of Qlik Replicate and Amazon MSK

Jan 17, 2025 By John Park & Sathisan Vannadil In Qlik
In the current data intensive world we live in many customers deal with heavy volumes of data that reside in databases and streaming systems. There are many ways to move data from one cloud platform to another, but for efficient migration, ease of use/development, and near zero downtime, a tool that does continuous near real-time data movement and CDC (change data capture) is needed.
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confluent

Optimizing Supply Chains with Data Streaming and Generative AI

Jan 16, 2025 By Kyle Moynihan In Confluent
It’s a truism that global supply chains are complex. The process of sourcing raw materials, transforming them into finished products, and distributing them to customers encompasses numerous systems (e.g., ERPs, WMSs, and TMSs). All systems within “the supply chain” are trending in the same direction; they’re aiming to be more efficient, resilient, and agile. Various technological developments have facilitated this directional trend.
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Demo | Snowflake Data Clean Rooms

Jan 16, 2025 By Snowflake In Snowflake
Snowflake Data Clean Rooms empower organizations to collaborate on data in a privacy-conscious way directly within Snowflake. With an intuitive interface and a focus on simplifying secure data sharing, Snowflake Data Clean Rooms enables businesses to build and use clean rooms seamlessly, leveraging Snowflake’s powerful data platform. This solution eliminates unnecessary complexity and additional access fees, ensuring organizations can focus on deriving insights while maintaining data privacy. Learn more about how Snowflake Data Clean Rooms support privacy-preserving collaboration in this blog.
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ClearML

Benchmarking llama.cpp on Arm Neoverse-based AWS Graviton instances with ClearML

Jan 16, 2025 By ClearML In ClearML
By Erez Schnaider, Technical Product Marketing Manager, ClearML In a previous blog post, we demonstrated how easy it is to leverage Arm Neoverse-based Graviton instances on AWS to run training workloads. In this post, we’ll explore how ClearML simplifies the management and deployment of LLM inference using llama.cpp on Arm-based instances and helps deliver up to 4x performance compared to x86 alternatives on AWS. (Want to run llama.cpp directly?
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