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Qlik Replicate - Real-data Ingestion and update and so much more

Qlik Replicate (formerly Attunity Replicate) empowers organizations to accelerate data replication, ingestion and streaming across a wide variety of heterogeneous databases, data warehouses, and big data platforms. Used by hundreds of enterprises worldwide, Qlik Replicate moves your data easily, securely and efficiently with minimal operational impact.

Bringing transaction support to Cloudera Operational Database

We’re excited to share that after adding ANSI SQL, secondary indices, star schema, and view capabilities to Cloudera’s Operational Database, we will be introducing distributed transaction support in the coming months. The ACID model of database design is one of the most important concepts in databases. ACID stands for atomicity, consistency, isolation, and durability. For a very long time, strict adherence to these four properties was required for a commercially successful database.

How does Apache Spark 3.0 increase the performance of your SQL workloads

Across nearly every sector working with complex data, Spark has quickly become the de-facto distributed computing framework for teams across the data and analytics lifecycle. One of most awaited features of Spark 3.0 is the new Adaptive Query Execution framework (AQE), which fixes the issues that have plagued a lot of Spark SQL workloads. Those were documented in early 2018 in this blog from a mixed Intel and Baidu team.

Snowflake Demo: Cross-Cloud Replication & Failover and Failback

Snowflake's cross-cloud replication & failover/failback support ensures high availability and quick recovery of data — no matter where or through which cloud provider your business operates. This demo video will walk you through how you would replicate a database across three clouds for business continuity purposes (from AWS US West in Oregon to Azure East US in Virginia to GCP Europe West in the Netherlands).

Hadoop vs. SQL - Which is Better for Data Management?

The key differences between Hadoop vs. SQL: Organizations rely on big data to power their business, but many teams struggle with the complexities of data management. Thankfully, Hadoop and SQL handle large data sets more efficiently. These tools manage data in unique ways, which makes it difficult for us to compare them on a like-for-like basis. However, organizations looking to streamline their tech stacks might have reason to choose one over the other. In this article, we compared Hadoop vs.

Top 4 Reasons Why You Should Upgrade Your Stream Processing Workloads To CDP

If there’s one thing enterprises have learned in 2020, it’s how to navigate through uncertain times, and in 2021, organizations will likely have to continue navigating through a shifting landscape. One trend that we’ve seen this year, is that enterprises are leveraging streaming data as a way to traverse through unplanned disruptions, as a way to make the best business decisions for their stakeholders.

Modernizing Data in a Cloud-Enabled World | Part 2 | Snowflake Inc.

Deloitte's partnership with Snowflake showcases how Snowflake's new Cloud Platform modernization of data helps companies migrate information & innovate within the Cloud. Frank Farrall, AI Ecosystems & Snowflake Alliance Leader at Deloitte, details how his organization uses Snowflake's cloud technology & artificial intelligence to problem solve and innovate quickly. Rise of the Data Cloud is brought to you by Snowflake.