#BigData Weekly 20150818 – The Top New Big Data Content of the Week

Welcome to #BigData Weekly!

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Here is a roundup of Big Data content from this past week ordered by their social sharing volume.  I gather the most shared Big Data content in Twitter, Facebook, Google+ and LinkedIn.

“Misconfigured Big Data apps are leaking data like sieves”
Bank and health info included in more than a petabyte of files left lying around

Publish date: 8/13/2015
Social sharing volume in the past week:
271 108 190 14

“SAPVoice: Should Big Data Be Used To Measure Employee Productivity?”
From smart phones to smart watches, GPS tracking, autonomous driving vehicles, Bluetooth headsets, and online teleconferencing, technology is becoming increasingly integrated into daily life and basic human functioning.  With the amount of interfacing we do with technology growing rapidly and exponentially, it has become easy for companies to track and collect data related to our behavior.  Never before have we had the ability to collect and analyze such quantities of complex data about what people are doing and when they are doing it.

Publish date: 8/14/2015
Social sharing volume in the past week:
186 74 88 6

“BDAS Analytics Suite Blends Big Data With HR – InformationWeek”
A new analytics suite from Broadbean called BDAS looks to use big data to help HR and recruiters hire the best talent for companies.

Publish date: 8/12/2015
Social sharing volume in the past week:
149 62 406 7

“Where DCIM Software and Big Data Meet | Data Center Knowledge”
After a couple of years of DCIM buzz, the hype has died down, and while analysts are forecasting healthy growth for the DCIM software market overall, they expect most of that growth to happen among a handful of the biggest players in the space.

Publish date: 8/12/2015
Social sharing volume in the past week:
127 53 117 9

“Big Data Means Big Risks”
The research firm Binaryedge says it found more than a petabyte of data stored in high performance databases like MongoDB is exposed to the public Internet.

Publish date: 8/13/2015
Social sharing volume in the past week:
41 61 46 25

“Bi isn’t big data and big data isn’t BI”
Big data is hyped, but isn’t hype. There are definite technical, process and business differences in the big data market when compared to BI and data warehousing, but they are often poorly understood or explained. BI isn’t big data, and big data isn’t BI. By distilling the technical and process realities of big data systems and projects we can separate fact from fiction. This session examines the underlying assumptions and abstractions we use in the BI and DW world, the abstractions that evolved in the big data world, and how they are different. Armed with this knowledge, you will be better able to make design and architecture decisions. The session is sometimes conceptual, sometimes detailed technical explorations of data, processing and technology, but promises to be entertaining regardless of the level.

Publish date: 8/13/2015
Social sharing volume in the past week:
76 32 768 5

“Stanford Journalism Program shifts towards big data”
With the recent expansion of data journalism, Stanford’s journalism program will officially open a new computational journalism lab in September and will continue to offer the five new classes that began last fall.

Publish date: 8/13/2015
Social sharing volume in the past week:
158 197 31 5

“How Machine Learning Makes Databases Ready for Big Data”
The promise of big data is incredibly enticing and, for most businesses, just as out of reach. The reason is simple: today’s databases are built upon 1970s math that was designed for 20th-century data requirements and hardware capabilities. This math has led to tree-structures and associated algorithms that are incapable of delivering the flexibility, scale and performance needed for the dynamic big data world.

Publish date: 8/14/2015
Social sharing volume in the past week:
132 34 31 8

“Do your security homework before storing big data in the cloud”
Here’s what an IT leader needs to ask cloud service providers about storage, preparation, and analytics capabilities to ensure their organization’s big data is secure.

Publish date: 8/14/2015
Social sharing volume in the past week:
160 27 90 12

“Can Big Data affect genomics and help fight disease? | #HPBigData2015”
“Genomics certainly is Big Data,” explained Toby Bloom, Ph.D. She regularly analyzes an estimated “12 terabytes a day” and stores up to “20 to 30 terabytes a day” as the deputy scientific director, Informatics at the New York Genome Center.

Publish date: 8/12/2015
Social sharing volume in the past week:
39 27 28 1

“Google Cloud Platform’s entire big data suite now generally available | ZDNet”
Google has a few more cloud bits on the way as soon as later today as Cloudera’s Hadoop platform is now certified for Google Cloud Platform.

Publish date: 8/12/2015
Social sharing volume in the past week:
339 20 241 11

“Big data for marketing? You ain’t seen nothing yet.”
The data that informs your marketing today is probably the equivalent of a few quick notes quickly jotted down on a sticky note on your desk.

Publish date: 8/18/2015
Social sharing volume in the past week:
189 15 35 6

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