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Tag: Metadata

Data Fabrics Emerge to Soothe Cloud Data Management Nightmares

Companies are ramping up their advanced analytics and AI projects in the cloud, which is helping them to make data-driven decisions in increasingly competitive markets. However, the march to the cloud is also exposing we Read more…

2021 Predictions: Data Science

It’s that time of year again – time for predictions! Thank you for patiently waiting while Datanami compiled 2021 predictions from the assorted predicters. We’ll kick things off with predictions about a most pertin Read more…

Google Joins the MLOps Crusade

Machine learning developers face an expanded set of management issues beyond merely getting the code right, including the testing and validation of data used in ML models while handling an additional set of infrastructur Read more…

The Cure for Kubernetes Storage Headaches: Break Your Data Free

If you’re using Kubernetes, there’s likely a simple reason why: Because it makes your life easier. That is, after all, the whole premise behind container-based orchestration. Infrastructure becomes disposable. Spin i Read more…

Selecting a Data Lake ETL Platform? Here Are 6 Questions to Ask

Not all data lakes are created equal. If your organization wants to adopt a data lake solution to simplify and more easily operate your IT infrastructure and store enormous quantities of data without requiring extended Read more…

8 Best Practices for Approaching Master Data Governance in the Cloud

Expanding your footprint to the cloud has gotten easier in recent years, and as a result, a growing community of data consumers are now motivated and energized to collect, capture, store, and analyze data for insights an Read more…

How to Build a Better Machine Learning Pipeline

Machine learning (ML) pipelines consist of several steps to train a model, but the term ‘pipeline’ is misleading as it implies a one-way flow of data.  Instead, machine learning pipelines are cyclical and iterative Read more…

AWS Looks to ‘Demystify’ Machine Learning

Amazon Web Services used a big data conference in the backyard of some of its largest government customers to showcase its AI and machine learning tools that are helping to funnel ever-larger volumes of data into its sto Read more…

Updated Storage Platform Leverages Metadata

Venture capital keeps flowing into the big data sector as a seemingly never-ending line of analytics startups roll out data management and other platforms designed to scale to petabytes and beyond. Case in point is Pr Read more…

Coveo, Microsoft, Sinequa Lead Insight Engine Market

Among the areas where natural language processing is making inroads is so-called "insight engines" that are projected to account for half of analytic queries by 2019. Indeed, enterprise search is being supplanted by voic Read more…

Fully Hydrate Your Lake in 8 Weeks or Less, Zaloni Says

Zaloni today rolled out Data Lake in a Box, a soup-to-nuts offering for getting a fully governed Hadoop cluster up and running in eight weeks or less. The offering includes Hadoop software, data management middleware, an Read more…

Getting to the Heart of Governance for Today’s Data-Driven Business

The phrase "big data" is probably the understatement of the century. Data today isn’t just big, it’s overwhelming. Studies show that 90% of the world’s data was created in just the past two years. If today your dat Read more…

Data Catalogs Emerge as Strategic Requirement for Data Lakes

If the exhibitors at last week's Strata + Hadoop World expo are any indication of what's happening down on the street, data cataloging is evolving from a nice-to-have into a necessity for organizations looking to capital Read more…

Veritas Disses Dell/EMC As It Preps Big Info Management Push

"What's worse than a lifetime of hardware with EMC?" Veritas' ad in the Wall Street Journal read today. "An eternity in Dell." With that one little dig, Veritas showed it's ready to play once again with the big boys in t Read more…

Delivering on the Data Lake Promise

The fundamental promise of a data lake is that it will give business users better access to the data they need - securely, accurately and without the long lead times traditionally associated with transforming that data i Read more…

A Semantic Approach to Big Data Governance

There is a burgeoning need for a standards-based, semantic approach to data governance. It is responsible for worming semantics technologies from the back offices of organizations to the forefront of some of the most per Read more…

Report: NSA Snooping Threatens Big Data Market

The U.S. National Security Agency (NSA) continues to collect vast amounts of personal data, allowing the agency and other actors to put it to questionable use, according to a new study on "trolling" personal communicatio Read more…

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