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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 for Higher Education

The goal for this 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 higher education: student success  and workforce readiness, simplified systems and processes, and accelerate research.

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.

insideBIGDATA Guide to Big Data for Finance

The goal for this insideBIGDATA 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.

Hope is Not a Strategy for Deriving Value from a Data Lake

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?

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

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

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 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.

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.