insideBIGDATA Guide to Big Data for Finance (Part 3)

[SPONSORED CONTENT] This insideBIGDATA technology guide co-sponsored by Dell Technologies and AMD, “insideBIGDATA 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.

insideBIGDATA Guide to Big Data for Finance (Part 2)

This insideBIGDATA technology guide co-sponsored by Dell Technologies and AMD, insideBIGDATA 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.

What Happened to Hadoop? And Where Do We Go from Here?

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?

The Future of Open Source Big Data Platforms

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 […]

The Power of Crunching Big Data Effectively

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.

MapR Announces Clarity Program for Cloudera and Hortonworks Customers with New Platform Update and Free Data Assessment Service

MapR® Technologies, Inc., provider of the data platform for AI and Analytics, announced the Clarity Program, a new product release and a free assessment service that provides a comprehensive understanding of a customer’s current data environment and the best practices to achieve a clear path to support AI, cloud, containers and IoT deployments.

Cloudera + Hortonworks: A Marriage from the Edge to AI

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

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

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.

Hortonworks Data Platform 3.0 Enables Containerization and Deep Learning Workloads

Hortonworks, Inc.® (NASDAQ: HDP), a leading provider of global data management solutions, today announced Hortonworks Data Platform (HDP) 3.0, which delivers significant new enterprise features including containerization for faster and easier deployment of applications, and increased developer productivity. The new version of HDP enables customers to more quickly, reliably and securely get value from their data at scale to drive business transformation.