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The Data Lake Debate: Pro Delivers First Rebuttal

April 10, 2015 by Tamara Dull

Data Lake Debate.

In my opening argument, I defined the data lake as a storage repository that holds a vast amount of raw data in its native format, including structured, semi-structured, and unstructured data. I also mentioned that a data lake can take on different shapes and sizes, and provided these examples: A single data lake; or a data lake with multiple data ponds—similar in concept to a data warehouse/data mart model; or multiple, decentralized data lakes; or a virtual data lake to reduce data movement.[read more]

Not All Hadoop Users Drop ACID

April 8, 2015 by Paige Roberts

ACID.

Hadoop users have all had to give up ACID and settle for the new standard, BASE, as a general rule, but like so many things in the data wrangling industry, that’s changing fast. This may come as a shock to a lot of current Hadoop users and database users considering making the switch to Hadoop, but using Hadoop doesn’t mean you have to give up your ACID habit.[read more]

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The Data Lake Debate: Pro Cross-Examines Con

April 6, 2015 by Tamara Dull

The Data Lake Debate.

As to be expected, Anne, your arguments against building a data lake are both persuasive and passionate. You’ve made some great points, my friend, but you’re making this way too easy for me. Before I jump into my rebuttal [my next post], I’d like to clarify a few things that you brought up. I’ve boiled it down to three questions. What say you?[read more]

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The Data Lake Debate: Negative Puts a Stake in the Ground

April 1, 2015 by Anne Buff
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The Data Lake Debate.

While the idea of a data lake sounds like fun, don’t go jumping in just yet. There are critical factors to consider before taking the plunge and saying that A data lake is essential for any organization to take full advantage of its data. Not only is a data lake not essential for any organization, a data lake may in fact be detrimental for those who do so prematurely.[read more]

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Data Lakes and Network Optimization: What’s Next for Telecommunications and Big Data

March 31, 2015 by Sameer Nori

Telecommunication. 

Relational data warehouses served communications service providers well in the past, but it’s time to start thinking beyond columns and rows. Unstructured data will be the fuel that powers risk management and decision-making in the near future. And to use all sorts of data to its fullest potential, we need new ways of storing, accessing and analyzing that data.[read more]

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The Data Lake Debate: Questioning the Pro

March 27, 2015 by Anne Buff

The Data Lake Debate.

Technology is not the answer for every big data issue (well any data for that matter). I get it - Hadoop and the concept of data lakes are hot topics. However, just because they are trending in the world of technology does not mean that they will solve critical business issues such as taking full advantage of an organization’s data. I stand firm that data storage, data lake or any other type, is not the essential element for an organization to take full advantage of its data.[read more]

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The Data Lake Debate: Pro is Up First

March 20, 2015 by Tamara Dull

The Data Lake Debate column.

To data lake or not to data lake? That is the question du jour, precipitated by the big data tsunami that hit our enterprise shores a few years ago. Unfortunately, the answer to this question is not so cut-and-dried, as we can see by this small sampling of headlines: Gartner says beware of the data lake fallacy. Gartner gets the ‘data lake’ concept all wrong.[read more]

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The Data Lake Debate: The Introduction

March 6, 2015 by Jill Dyché
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Data Lake Debate column.

Will filling up your data lake will help or hurt the cause? On the one hand, a data lake full of raw, multi-structured, and heterogeneous data from across systems and business processes, could be the proverbial “single version of truth” that up until now had just been the unconsummated hope of many an executive.[read more]

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Hygienic Hadoop Data Lakes Not Just Happenstance

February 23, 2015 by Paul Barsch

Risky Business column.

If you work with Hadoop on a daily basis you already know that data cannot simply be dumped into Hadoop’s file system and be of high value to rank and file business users. To be sure, data management is crucial if you’re planning on Hadoop serving as a true lake or “hub” for all your organization’s data.[read more]

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10 Amazing Data Analytics Platforms Everyone Should Know About

February 18, 2015 by Bernard Marr
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Big Data Guru column.

The past few years has seen an explosion in the number of platforms available for big data analytical tasks. The open source Hadoop framework is free to use, but very technical to set up and not specialized towards any particular job or industry. To use it in your business, you need a “platform” to operate it from.[read more]

Aligning Big Data

January 18, 2015 by Martyn Jones

Aligning big data.

This is an overview of the realignment and placement of Big Data into a more generalized architectural framework, an architecture that integrates data warehousing (DW 2.0), business intelligence and statistical analysis.[read more]

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Is Your IT Architecture Ready for Big Data?

January 6, 2015 by Paul Barsch

Risky Business column.

Companies desperately need to assess their current situation and future business needs, and then design and deliver on a IT architecture that will deliver insights from all data types.[read more]

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My 7 Big Data Favorites of 2014

December 24, 2014 by Tamara Dull

The Big Data MOPS Series.

To put a nice bow on this year’s big data discussion, I’d like to share some of my favorite content from 2014 from around the web. It wasn’t easy, but I narrowed the list down to 7 items, including articles, a comic book, a white paper, an infographic, and a video. Check out the list and see what you think.[read more]

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Changing Your Mind About Big Data Isn’t Dumb

December 9, 2014 by Paul Barsch

Risky Business column.

While big data technologies have enjoyed plenty of hype, there’s a new reality setting in regarding getting more value from big data investments. With this in mind, it's OK to step back for a moment, pause your programs for a time if necessary, and—yes, even change your mind about big data.[read more]

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5 Ways Hadoop Can Help Healthcare Organizations and You

November 23, 2014 by Sameer Nori

Hadoop and healthcare

There are many different use cases for Hadoop in healthcare. Some of them include helping doctors, patients, and healthcare organizations include personalized treatment planning, assisted diagnosis, fraud detection, and monitoring patient vital signs. Learn how Hadoop is being implemented in each of these use cases.[read more]