Data lakes have emerged as a pivotal solution for organisations seeking to harness vast, heterogeneous datasets. This strategy involves storing raw data in its native format in a centralised ...

These strong data flows – particularly true end-to-end digital data processing – will drive far more straight-through processing and increase efficiency for banks, according to Patrick DeVilbiss, ...

ONES 2.1 enables seamless network data migration to AWS S3, supporting multi-vendor environments and advanced analytics tools. In February, we introduced the ONE Data Lake as part of our ONES 2.1 ...

The news and information specialist is using Snowflake technology to support its long-term data strategy, which also includes increased use of AI. As both a producer and consumer of vast amounts of ...

Google Cloud has announced the preview of its data lake storage engine, BigLake, as part of its aim to remove all "limits of data" as well as break the barrier between data lakes and warehouses. As ...

Many enterprises are moving towards use of data lakes to help in managing increasing amounts of information. Such large repositories allow organisations to gather and store structured and unstructured ...

CelerData, a unified analytics platform for the modern, real-time enterprise, is releasing the latest iteration of its enterprise analytics platform, CelerData Version 3, which continues to empower ...

Dr. Chris Hillman, Global AI Lead at Teradata, joins eSpeaks to explore why open data ecosystems are becoming essential for enterprise AI success. In this episode, he breaks down how openness — in ...

"It's a false assumption that you need to choose between a [data lake] and [data warehouse]," Grab analytics lead data scientist Zulfikar Lazuardi said. Speaking as part of the virtual 2021 Databricks ...