AWS yesterday unveiled new EC2 instances geared toward tackling some of the fastest growing workloads, including AI training and big data analytics. During his re:Invent keynote, CEO Adam Selipsky also welcomed Nvidia founder Jensen Huang onto the stage to discuss the latest in GPU computing, including the forthcoming 65 exaflop “ultra-cluster.” Selipsky unveiled Graviton4, the…
Elasticsearch Query Language (ES|QL), Elastic’s latest offering that introduces a piped query syntax and supports concurrent processing, is being touted by the company as a major leap forward in data querying technology, claiming to boost productivity and streamline data operations for a diverse array of users including IT professionals and data analysts. ES|QL, not to…
Snowflake made a slew of announcements today during its “Snowday 2023” launch event, including a new generative AI offering dubbed Cortex, updates to its Snowpark environment for traditional machine learning, support for Iceberg Tables, updates to its Horizon data governance tool, and a new Snowflake Notebook. The company describes Snowflake Cortex as a fully managed…
When Joerg Tewes last worked in the database business, the world was just becoming aware of the possibilities of non-relational data models. Fast forward 20 years, and NoSQL databases are commonplace across all industries, and the biggest transition facing the industry is the move to the cloud. As the recently named CEO of German analytics…
Everybody wants to be data-driven–that much is clear. But that desire doesn’t necessarily translate into real business results, especially in competitive industries like ecommerce. Data quality has long been a burr in the side of would-be data champions. The need to cleanse and normalize dirty and inconsistent data often consumes the lion’s share of the…
A new category of analytics database has emerged that can handle massive data inflows and deliver subsecond latency on a large number of simultaneous queries. One of those real-time databases is Apache Druid, which was co-developed by former Metamarkets engineer Fangjin Yang, who is one of our People to Watch for 2023. Datanami recently caught…
A semantic layer is a way to represent data so that it can be easily understood by business users, making it easier for them to interpret and use it directly, without a dependence on data engineering teams. Wikipedia defines it as “a business representation of corporate data that helps end users access data autonomously using…
