#Hadoop Weekly 20151005 – The Best New Hadoop Content of the Week

Welcome to #Hadoop Weekly!

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

“Hadoop Open Data Platform moves under Linux Foundation’s wing | ZDNet”
New members, technical progress and a formal governance structure are the ODPi’s way of saying that the project set up by Hadoop firm Hortonworks and EMC and VMware spinoff Pivotal is moving forward.

Publish date: 9/28/2015
Social sharing volume in the past week:
399 31 92 2

“MapR Drafts JSON To Work With Hadoop – InformationWeek”
Adding JSON to MapR-DB bolsters the trend of moving Hadoop from ETL to real-time analytics. This means vendors are placing their products and services one step ahead of what their enterprise customers.

Publish date: 9/29/2015
Social sharing volume in the past week:
29 27 115 2

“Hadoop reporting gets one step closer to self-service big data”
No data science experience is required to generate big data reports, thanks to this BI middleware that sits atop Hadoop.

Publish date: 9/29/2015
Social sharing volume in the past week:
126 26 46 6

“Top 5 reasons to consider a different SQL on Hadoop solution like HP Vertica”
Recently, HP has been working with partners like MapR and Hortonworks to offer their venerable SQL engine based on the columnar store database Vertica. The partnership allows Vertica to be installed and run on Hadoop, providing all the power of our mature engine to coexist with Hadoop. But with so many SQL on Hadoop solutions in the market, like HIVE, Stinger and Impala, is there really a need for such a solution? Who would want this?

Publish date: 9/28/2015
Social sharing volume in the past week:
88 21 159 0

“MapR-DB adds native JSON support to cut Hadoop data shuffling | ZDNet”
Work on big-data app development should be faster and simpler thanks to a JSON API for MapR-DB, according to the Hadoop distro firm.

Publish date: 9/29/2015
Social sharing volume in the past week:
222 17 266 2

“MapR Gives Hadoop Distro More NoSQL Smarts”
Hadoop and NoSQL databases share some similarities, but the platforms typically live within different levels of the big data spectrum. Now MapR Technologies is working to break those barriers down by adding a major piece of NoSQL functionality to its Hadoop distribution.

Publish date: 9/28/2015
Social sharing volume in the past week:
32 15 159 0

“Real-World Hadoop Takes Center Stage at Strata”
There’s no faster path to budgetary oblivion than implementing technology for technology’s sake. In today’s super-heated big data environment, it’s easy to get all worked up over technologies like Hadoop without carefully considering the business justifications at the same time. At the Strata + Hadoop World conference today, Cloudera co-founder Mike Olson did his best to steer the conversation to real-world Hadoop solutions.

Publish date: 9/30/2015
Social sharing volume in the past week:
68 13 66 1

“MapR Technologies Unveils In-Hadoop Document Database”
MapR integrates Web-scale enterprise storage and real-time database management and adds native JSON support to MapR-DB, its NoSQL database.

Publish date: 9/29/2015
Social sharing volume in the past week:
70 12 25 3

“Apache Kudu: How Cloudera wants to save Hadoop by killing it”
The massive drop in memory prices that is leading Hadoop adopters to abandon the disk-oriented MapReduce has now finally caught up to the storage component of the framework as well with the introduction of an alternative from none other than Cloudera Inc., its prime distributor. The move signals the beginning of the end for the decade-old project in its present form.

Publish date: 9/28/2015
Social sharing volume in the past week:
22 10 67 1

“Hortonworks Aims To Make Hadoop Easier To Use – InformationWeek”
With the aim of simplifying Hadoop use, Hortonworks rolled out three new products to coincide with Strata+Hadoop World in New York City.

Publish date: 10/1/2015
Social sharing volume in the past week:
20 9 27 1

“Altiscale Data Cloud 4.0 Makes Hadoop and Spark More Reliable”
This morning, Altiscale, one of the leading providers of Big Data as a Service tools introduced Data Cloud 4.0. The update features major upgrades to core Hadoop components, such as HDFS and YARN, and an expanded Spark as a Service option that supports all major versions of the platform. With this update, users will get increased performance, scalability enhancements, and more stability. These improvements will help to ensure that users have the best possible big data experience on Altiscale’s Data Cloud platform. Version 4.0 also meets current Hadoop standards having been established by the ODPi. This way, applications that adhere to the ODPi standard can easily be run on Altiscale or any Hadoop distribution that meets these specifications.

Publish date: 9/28/2015
Social sharing volume in the past week:
15 2 9 9

“Where is Hadoop and YARN technology going in the next 10 years? – Hortonworks”
In a world that creates 2.5 quintillion bytes of data every year, it is extremely cheap to collect, store and curate all the data you will ever care about. Data is de facto becoming the largest untapped asset. So how can organizations take advantage of unprecedented amounts of data? The answer is new innovations; and new applications. We are clearly entering a new era of modern data application

Publish date: 9/28/2015
Social sharing volume in the past week:
99 8 159 1

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