Observability practitioners may be familiar with using one query language for logs, another for metrics and another for traces and application performance monitoring. That can sometimes pose ...

Part of the problem is that there is no magic bullet, and for almost every best practice, I can show you at least one exception. Typically, a developer finds his or her own favorite methods — though ...

Data lakehouse company Dremio Corp. today announced a set of advanced analytics performance capabilities that it says significantly speed query performance on Apache Iceberg tables while reducing the ...

MySQL HeatWave Lakehouse can load 400 TB data from object storage 8X faster than Redshift and 2.7X faster than Snowflake MySQL HeatWave Lakehouse scales to 512 nodes, can process hundreds of terabytes ...

LAS VEGAS--(BUSINESS WIRE)--At AWS re:Invent, Amazon Web Services, Inc. (AWS), an Amazon.com, Inc. company (NASDAQ: AMZN), today announced new Amazon Simple Storage Service (Amazon S3) features that ...

The move to the data lakehouse was full of promises—speed, agility, and cost-effective query performance, to name a few. Yet, many enterprises find it difficult to realize all these benefits at once; ...

Have you ever found yourself staring at a spinning wheel, waiting for your Power Query to refresh, only to wonder if there’s a better way? For anyone working with large datasets, refresh delays aren’t ...

Partitioning can provide a number of benefits to a sharding system, including faster query execution. Let’s see how it works. In a previous post, I described a sharding system to scale throughput and ...

[SPONSORED GUEST ARTICLE] In the world of high-performance computing (HPC), where petabyte-scale storage and billions of files are commonplace, efficiently managing and querying massive data stores is ...