
Tag: data lakes
The role of chief data officers (CDO) is expanding as companies look to unlock value in their vast stores of customer and other data, Still, many CDOs still face a misalignment between goals and priorities, a new vendor study funds. Read more…
A data lake is not a direct replacement for a data warehouse; they are supplemental technologies that serve different use cases with some overlap. Most organizations that have a data lake will also have a data warehouse. Read more…
Hitachi Vantara is acquiring data catalog startup Waterline Data as the U.S. subsidiary of the Japanese industrial giant seeks to meet growing demand for automation frameworks for data lake management via its AI-driven DataOps platform. Read more…
Microsoft made another move last week to enable customers to shift more data to the cloud with its acquisition of Mover, a cloud file migration specialist.
Edmonton-based Mover’s platform is designed to streamline the process of transferring data to the cloud and sharing files. Read more…
The explosion of unstructured and partially structured data has made traditional data lakes harder to manage. Adding to the challenge are “brittle” data pipelines that are time-consuming to create as well as ephemeral. Read more…
The rise of data lakes has in the process of consolidating data exposed a gap between databases, files and other data repositories and the ability to view, analyze and leverage those data. Read more…
The original Industrial Revolution, which straddled the second half of the 18th century and the first half of the 19th century, transformed the world as mechanized, engine-powered production processes and tools replaced manual methods. Read more…
Cloud-based serverless data preparation tools are gaining traction among data analysts seeking to move beyond traditional approaches to organizing low-quality but potentially valuable data. That approach promises to provide data scientists with an alternative to standard ETL routines developed to plumb data warehouses. Read more…
Visual analytics vendor Arcadia Data continues to extend big data search capabilities with AI-driven business intelligence tools that also allow for natural language queries, a capability intended to extend the use of BI to a wider audience of enterprise users. Read more…
Ask Gartner Research and you’ll find that as of late 2017, 60% of big data projects failed to survive the pilot phase and only 17% of Hadoop deployments went on to the production phase. Read more…