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Cloudera Replication Plugin enables x-platform replication for Apache HBase

The Cloudera Data Platform (CDP) is the latest Big Data offering from Cloudera. It includes Apache HBase and Phoenix as part of the platform. These two components are provided in 3 form-factors: Cloudera’s Apache HBase customers typically run mission-critical applications that cannot afford any downtime. They need a way to migrate to a new deployment either without a production outage or, at a minimum, a tiny outage.

The role of data in COVID-19 vaccination record keeping

The role of data in COVID-19 vaccination record keeping Now that the Pfizer vaccine has been approved by the FDA for use in the US, and the Moderna vaccine likely isn’t far behind, we are now on the verge of being able to emerge from the social distancing world that began earlier in 2020. Recent news has talked about distributing a vaccination record card to everyone who gets a COVID-19 vaccine.

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.