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confluent

Allium and Confluent: How to Build a Foundational Data Platform for Blockchain

Jan 21, 2025 By Will Stolton In Confluent
Blockchains enable individuals and organizations to record and verify transactions as part of a secure, transparent, and decentralized system. They form the basis of most cryptocurrencies, and are used as the foundation of many other applications—smart contracts, supply chain management, and digital identity verification, to name but a few.
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snowflake

Shared Destiny with Snowflake Horizon Catalog Built-In Security

Jan 20, 2025 By Anoosh Saboori In Snowflake
Security has been an integral capability of Snowflake since the company was founded. Through the customer-configurable security capabilities of the Snowflake Horizon Catalog, we empower security admins and chief information security officers (CISOs) to better protect their environments and centralize threat monitoring and role-based access controls across clouds.
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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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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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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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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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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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qlik

Announcing Strategic Distribution Partnerships to Scale AI

Jan 16, 2025 By David Zember In Qlik
As we head into 2025, Qlik is taking a significant step forward in the evolution of our go-to-market approach by placing an even greater emphasis on our partnerships. This move is aimed at capturing the growing market opportunity in data integration, data quality, analytics and AI.
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