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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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5 Non-Standard Ways to Use Cloud Storage

March 21, 2015 by Terry Smith

Cloud storage.

We all get used that cloud storages like Dropbox and Google Drive serve one definite purpose: to keep our data online. Thus, we can easily add, remove, share access, open, or edit files and rest assured that the storage would backup and synchronize all our changes. This is a standard way to utilize a service like this. However, more advanced users are constantly finding new ways to benefit from certain cloud storage options. Have a look at five most non-standard tricks you can do with your Dropbox or Google Drive.[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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Abolish Daylight Savings Time

March 8, 2015 by Shawn Gordon

Daylight savings.

The time is long past to leave the anachronistic use of Daylight Savings Time behind us, and here is why. Ultimately, it is the arrogance of politicians that seem to think they are creating or giving you an extra hour of daylight, when in fact they are just controlling everyone's behavior.[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]

VC Investment Analytics on 20 Years of Investment Data

January 15, 2015 by Nilesh Jethwa

VC investment analytics.

In this article, we will perform straight analytics on a huge dataset available from https://www.pwcmoneytree.com/. PWC Money Tree provides a data dump of all the venture capital investments from 1995 onwards. Having data that goes that far back should give us what we need to extract interesting and helpful findings.[read more]

No, You Don't Need a Data Scientist Army to Understand Consumers

January 6, 2015 by Mark Harrington

Data scientist army.

Today's advances in consumer management technology are facilitating a paradigm shift for brands to achieve authentic understanding and generate genuine loyalty from their best customers. For brands that are embracing this technology, loyalty has shifted from a reactive, “wait and see” approach to a proactive, “design and drive” initiative, free of data-head squads.[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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The World’s Largest, Fastest, Most Agile Supply Chain

December 31, 2014 by Keith Peterson

Supply chain.

There is one shipping firm in the world, maybe the galaxy, that is counted on more than FedEx, UPS, and DHL combined. In fact, this organization has an even more complex supply chain. It takes its own orders, makes its own goods, and ships them all in one night.[read more]

Top 8 Big Data Trends That Marketers Should Care About

December 24, 2014 by Trips Reddy

Big data trends.

A recent Oracle study projects that big data will be a $50 billion business by 2017. As big data and advanced analytics become more mainstream, it’s vital for marketers to keep up with the trends that really matter, the solutions that push for data democratization and the easy-to-use tools that empower anyone within an organization to create, run and optimize real-world campaigns that drive engagement, loyalty and ROI.[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]

Unify Brand, Agency, and Technology Efforts with Your Customer Data

December 21, 2014 by Rishi Shah

Park City, Utah.

While it may be a new concept for brands, owning and controlling your customer data does not need to be as daunting as it sounds. It’s as straightforward as listing your priorities, looking at what you’re bringing in-house from the agency, finding a technology partner that breaks down barriers instead of erecting them, and asking for data in its raw format so that you can use it, grow it and benefit from it.[read more]