SANTA CLARA, CA, July 21, 2021 — Quobyte Inc., a developer of scale-out software-defined storage (SDS), today announced availability of its Hadoop Driver. Quobyte’s new native driver for Hadoop addresses the limitations of the Hadoop Distributed File System’s (HDFS) high-capacity design within the enterprise. The new native driver brings significant benefits in optimizing Hadoop clusters for a much wider […]
Quobyte Releases Hadoop Native Driver for Analytics, ML, Streaming and Real-time Applications
July 21, 2021 by
insideAI News Guide to Big Data for Finance
June 24, 2021 by Leave a Comment
The goal for this insideAI News technology guide, sponsored by Dell Technologies, is to provide direction for enterprise thought leaders on ways of leveraging big `data technologies in support of analytics proficiencies designed to work more independently and effectively across a few distinct areas in today’s financial service institutions (FSI) climate: (i) Retail Banking; (ii) Regulatory and Compliance, (iii) Algorithmic Trading; and (iv) Security Considerations.
Unify Your Analytics, and Keep Your Data Where It Suits You
August 6, 2020 by
In this sponsored post, Joy King, VP, Vertica Product Management & Product Marketing, believes that we need to stop our fixation with “data in one place.” The days of the single data repository are behind us. If you try doing that, you’ll incur so much data management time and cost that you’ll squander the savings even before you even get to the analysis stage. To put it simply, the goal is to unify, analyze, and act, because predictive analytics and proactive action is the definition of business success.
GigaOm Radar for Evaluating Data Warehouse Platforms
July 6, 2020 by
This new GigaOm Radar Report “GigaOm Radar for Evaluating Data Warehouse Platforms” provided by our friends over at Vertica, examines the leading platforms in the data warehouse marketplace, describes the fundamentals of the technology, identifies key criteria and evaluation metrics by which organizations can evaluate competing platforms, describes some potential technology developments to look out for in the future, and classifies platforms across those criteria and metrics.
GigaOm Radar for Evaluating Data Warehouse Platforms
July 1, 2020 by Leave a Comment
This new GigaOm Radar Report provided by our friends over at Vertica, examines the leading platforms in the data warehouse marketplace, describes the fundamentals of the technology, identifies key criteria and evaluation metrics by which organizations can evaluate competing platforms, describes some potential technology developments to look out for in the future, and classifies platforms across those criteria and metrics.
NetApp Deploys Iguazio’s Data Science Platform for Optimized Storage Management
June 10, 2020 by
Previously built on Hadoop, NetApp said it was also looking to modernize the service infrastructure “to reduce the complexities of deploying new AI services and the costs of running large-scale analytics. In addition, the shift was needed to enable real-time predictive AI, and to abstract deployment, allowing the technology to run on multi-cloud or on premises seamlessly.”
What Happened to Hadoop? And Where Do We Go from Here?
August 10, 2019 by
Apache Hadoop emerged on the IT scene in 2006 with the promise to provide organizations with the capability to store an unprecedented volume of data using cheap, commodity hardware. Hadoop facilitated data lakes were accompanied by a number of independent open source compute engines – and on top of that, “open source” meant free! What could go wrong?
How Hadoop Can Help Your Business Manage Big Data
August 6, 2019 by
Hadoop. Once largely unknown, hit the scene in part due to the explosion of unstructured data. Download the new white paper, “Making the Most of Your Investment in Hadoop,” through which SQREAM explores an approach to Hadoop that aims to help businesses reduce time-to-insight, increase productivity, empower data teams for better decision making, and increase revenue.
Making the Most of Your Investment in Hadoop
July 29, 2019 by Leave a Comment
Hadoop is a popular enabler for big data. But with data volumes growing exponentially, analytics have become restricted and painfully slow, requiring arduous data preparation. Often, querying weeks, months, or years of data is simply infeasible. Download the whitepaper to learn how to deal with the exponential growth of data, reduce time spent on data preparation, and generate insights faster from ad-hoc queries of raw data.
The Future of Open Source Big Data Platforms
June 14, 2019 by
Three well-funded startups – Cloudera Inc., Hortonworks Inc., and MapR Technologies Inc. — emerged a decade ago to commercialize products and services in the open-source ecosystem around Hadoop, a popular software framework for processing huge amounts of data. The hype peaked in early 2014 when Cloudera raised a massive $900 million funding round, valuing it […]
