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Archived IT - Big Data Articles
16 Jun 2017
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Data Lake Vs Data Warehouse [64266]
Datamation, June 16th 2017

"The term 'Data Lake' has been growing in popularity as one of the big new buzzwords surrounding Big Data, and for those of you who have invested decades into building one or more data warehouses, you may be wondering if this means starting all over from scratch.

Well, nothing could be further from the truth. Data Lakes and Data Warehouses are two very different concepts that are quite capable of co-existing and working together quite effectively. Both are capable of providing business insight and information to run your business. You just need to learn the key differences and how their synergy works.

The only commonality between the two is that they are both data storage repositories. That's it..."
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15 Jun 2017
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Is Disaster Recovery A Good Data Lake Use Case? [64293]
Search Disaster Recovery, June 15th 2017

"Before wading into a data lake to help with protection, it's important to analyze what you're doing with your data and its backup and disaster recovery.

Data lake technology typically involves a single namespace with petabytes of storage. It may seem tempting to split off a section of the primary space and use it as backup storage and DR archiving, since this can be done without copying any data, which is always attractive, even more so with unstructured big data..."
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14 Jun 2017
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Big Data Companies [64256]
Datamation, June 14th 2017

"Big Data companies come in many different shapes and flavors. In fact you might say, a list of Big Data companies necessarily contains vendors with highly contrasting strategies - clearly, the data analytics market is in rapid flux.

Standards? Kind of. Not exactly. Depends who you ask.

It has been just seven years since Yahoo introduced Hadoop but the concept behind it, Big Data, has exploded in popularity as more and more firms launch pilot programs to gain insight from the massive amounts of data at their disposal..."
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13 Jun 2017
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Data Quality, Staffing Issues Still Plague Analytics Efforts [64267]
Information Management, June 13th 2017

"Despite the growth in consumption and use of data, many organizations still struggle with their analytics efforts, complaining of poor data quality, insufficient expertise in-house and a shortage of trained data professionals in general.

Those are among the findings of a new study by Forbes, which says that the majority of organizations lack tools and investment necessary for analytics usage in business. Indeed, 59 percent of organizations surveyed for the study reveal they are not using predictive models or advanced analytics..."
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13 Jun 2017
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How Bad Data Alters Machine Learning Results [64285]
Dark Reading, June 13th 2017

"Machine learning models tested on single sources of data can prove inaccurate when presented with new sources of information.

The effectiveness of machine learning models may vary between the test phase and their use 'in the wild' on actual consumer data.

Many research papers claim high rates of malware detection and false positives with machine learning, and often deep learning, models. However, nearly all of these rates are within the context of a single source of data, which authors use to train and test their models..."
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13 Jun 2017
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IT Teams Take Steps To Simplify Big Data Analytics Process [64296]
Search Business Analytics, June 13th 2017

"Companies such as Yahoo, Merck, Macy's and eBay have moved to clear obstacles that were blocking the path to success with big data analytics applications.

Even with the expanding array of advanced analytics tools now available for use, analytics teams still face plenty of challenges in developing big data applications and getting useful information from them..."
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