[SPONSORED POST] The essential first step for manufacturers is to consider how much data the enterprise has at its disposal. Most manufacturers collect vast troves of process data but typically use it only for tracking purposes, not as a basis for improving operations. The challenge is for these players to invest in the systems and skillsets that will allow them to enhance their use of existing process statistics. This Guide, “insideAI News Guide to Computer Aided Engineering,” sponsored by Dell Technologies, will walk through some of the ways to expand the scope of analytics to further increase business value.
insideAI News Guide to Big Data for Finance (Part 3)
July 15, 2021 by
[SPONSORED CONTENT] This insideAI News technology guide co-sponsored by Dell Technologies and AMD, “insideAI News Guide to Big Data for Finance,” provides 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.
insideAI News Guide to Big Data for Finance (Part 2)
July 7, 2021 by
This insideAI News technology guide co-sponsored by Dell Technologies and AMD, insideAI News Guide to Big Data for Finance, provides 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.
Hope is Not a Strategy for Deriving Value from a Data Lake
October 19, 2019 by
In this contributed article, Christian Kleinerman, VP of Product at Snowflake, discusses how the data lake has evolved since arriving on the technology scene 10+ years ago and why organizations need more than “hope” to unlock the potential it promises.
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.
The Power of Crunching Big Data Effectively
March 31, 2019 by
In this contributed article, Lex Boost, CEO of Leaseweb USA, points out that according to an Accenture study, 79% of enterprise executives agree that companies not embracing big data will lose their competitive edge. Considering that data creation is on track to grow 10-fold by 2025, it’s crucial for companies to be able to process it more quickly, and meaningfully.
Cloudera + Hortonworks: A Marriage from the Edge to AI
October 3, 2018 by
Did you hear the clap of thunder in the big data ecosystem today? If so, it was only just Cloudera, Inc. and Hortonworks, Inc. jointly announcing that they have entered into a definitive agreement under which the companies will combine in an all-stock merger of equals. The transaction, which has been unanimously approved by the Boards of Directors of both companies, will create the world’s leading next generation data platform provider.
Hadoop-as-a-Service: The Need Of The Hour For Superior Business Solutions
September 7, 2018 by
In this contributed article, content writer Swamini Kulkarni discusses how the launch of new platforms based on HaaS solutions demonstrate that Hadoop-as-a-Service (HaaS) is a promising solution for building and managing the big data cluster, which will compel organizations to consider Hadoop as a potential solution for big data challenges.
Interview: Jamie Engesser, VP Product Mangement at Hortonworks
July 11, 2018 by
I recently caught up with Jamie Engesser, VP Product Mangement at Hortonworks during the company’s DataWorks Summit 2018 conference in San Jose, California, to get an update on his company’s direction and his sense for the pulse of the big data industry.
