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Hate Hadoop? Then You’re Doing It Wrong

A lot has been written about Hadoop’s alleged demise, about its fall from grace. And there’s been a lot of Monday morning quarterbacking saying Hadoop never made sense in the first place. “Hadoop is slow for small, ad hoc jobs.” “Hadoop is hard.” “Hadoop is dead and Spark is the victor.” And on and on and on.

Best Practices for Data Lakes

Today, we’re bringing you introductory videos about the concept of data lakes. Hear from Andrew Brust, blogger at ZDNet and Datameer’s Senior Director of Market Strategy and Intelligence, or skim through the transcripts below.

Why Can’t I Get More Value From My Data Lake?

Many have applied the old adage “if I build it, they will come” to their data lake projects. The simple notion of having all that data in one place is appealing, and one would think everyone would want to come drink from the lake.

Four Questions To Ask in Every Enterprise Tech Purchase

There’s a certain process everyone goes through when considering any purchase. Depending upon whom you ask, there are five, sometimes six steps you take between first recognition of a problem and final purchase (or re-purchase, if you subscribe to that buyer cycle methodology). Arguably, one of the most time-consuming parts of the process can be gathering all of the pertinent information.

Five Ways Big Data Delivers Business Agility

In a recent Forrester Report, “How to Scale Business Intelligence with Hadoop-Based Platforms,” Boris Evelson, Vice President and Principal Analyst, described a concept called Systems of Insight, which combines the best of both worlds with agile BI and big data analytics.

What’s With Data Lakes? Five Questions, Answered

Big data can be an intimidating field. And with most industries, there’s some jargon. Today we’re going to dig into the definition of the term “data lake” – we’ll look at what it means both as a general industry term and how it’s used in everyday practice.

Are You Doing It Right? Five Questions for Your Big Data Journey

For those unfamiliar with big data technology, getting started can seem complex and intimidating. However, with recent technological advances, setting up a user-friendly big data platform can be relatively easy and straightforward. To maximize the results, you’ll need a good idea of what problems you want to solve – and what information you want to know.

New Data Uses, Cloud Investment and More With Scott Gnau of Hortonworks [Podcast]

Today we’re featuring Scott Gnau, Hortonworks’ Chief Technology Officer. He discusses new applications of big data, how we should preserve data, cloud investment and much more. Start listening to start learning, or read the transcript below.

The Big Data Perspective, With Jack Norris of MapR [Podcast]

Today we’re featuring Jack Norris, MapR‘s Senior Vice President of Data and Applications. He’ll provide us with his perspective on the big data and Hadoop world. This is part of our podcast series on big data thought leaders. Be sure to subscribe to our blog to get updates as soon as they’re published!

What Does the Cloud Mean for Big Data Analytics?

Want to innovate faster with your big data? Then it’s time to think about the cloud. Cloud technology can create numerous benefits for any given company. Faster, cheaper, more flexible and easier to keep up to date, there are numerous business benefits. Most importantly, a well-thought out and well-implemented cloud environment can help companies drive innovation — especially since it makes big data analytics more impactful than ever.

Is Big Data Doomed?

Is Big Data Doomed?

by on Feb 26, 2018

Or, Are Technology Best Practices Timeless? A funny thing happened on the way to the mainstreaming of Big Data: it started to obey the laws of gravity.

The Connected Car, Big Data and the Automotive Industry’s Future

With the growing Internet of Things (IoT), the vast majority of our devices will be connected to the internet. When people think of IoT, watches, phones and other small devices often spring to mind. But increasingly, manufacturers are dreaming big. Large “gadgets” like our automobiles are getting synced into the web and updated with new technology.