In keeping with our 100% open source ethos, this feature is available in YugabyteDB under the Apache 2.0 license, so you can try it out right from your laptop! This blog post will dive into the details of this feature such as the high-level design, use-case benefits, as well as the how to use it.
Geo-partitioning of data is critical to some global applications. However, global applications are not deployed using one particular multi-region deployment topology. The multi-region deployment topologies could vary significantly depending on the needs of the application, some of which are very common and critical.
Geo-partitioning of data enables fine-grained, row-level control over the placement of table data across different geographical locations. This is accomplished in two simple steps – first, partitioning a table into user-defined table partitions, and subsequently pinning these partitions to the desired geographic locations by configuring metadata for each partition.
Your Data Architecture: Simple Best Practices for Your Data Strategy. Don't miss this helpful article.
In this post, we'll learn Getting Started With Data Lakes.<br><br> This Refcard dives into how a data lake helps tackle these challenges at both ends — from its enhanced architecture that's designed for efficient data ingestion, storage, and management to its advanced analytics functionality and performance flexibility. You'll also explore key benefits and common use cases.
The agenda of the talk included an introduction to 3D data, its applications and case studies, 3D data alignment and more.
Data Quality Testing Skills Needed For Data Integration Projects. Data integration projects fail for many reasons. Risks can be mitigated when well-trained testers deliver support. Here are some recommended testing skills.
A data lake is totally different from a data warehouse in terms of structure and function. Here is a truly quick explanation of "Data Lake vs Data Warehouse".