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Application-based, file-based, and block-based migration all have their own merits and use cases. Choosing the right solution starts with understanding their differences.
Kaskada, acquired by DataStax in January, offers an open-source based unified events processing engine aimed at helping enterprises build real-time machine learning applications.
Databricks intends to integrate Okera’s capabilities with its own data governance layer inside its lakehouse offering, dubbed Unity Catalog.
The updates include a 75% cut in storage pricing, a new low-code Data Studio, and adoption of Databricks’ open source Delta Sharing protocol and Apache Iceberg.
Natural language queries made to the database are routed through ChatGPT's API to produce a SQL query syntax that can be run to generate results, Kinetica says.
Getting the most out of any Apache Kafka event streaming deployment requires a thorough understanding of Kafka consumer groups. Here’s what you need to know.
Have data sets scattered all over the place? Here's how to pull them into a single, robust catalog with the pointblank R package and a Quarto document.
Event-driven microservices are an excellent way to deliver both historical and new data to all of the systems and teams that need it, but they come with additional overhead and management requirements. Start small.
The new migration service will ensure faster migration while providing a “zero risk” guarantee that allows enterprises to not pay for the entire cost of migration if expectations are not met, the company said.
In addition to laying off 26 staffers out of its 340-strong workforce in February, the company warns that revenue won't be enough to support operations for the next 12 months, and is looking for financing.