#Hadoop Weekly 20150826 – 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 gather the most shared Hadoop content in Twitter, Facebook, Google+ and LinkedIn.

“​Top 100 Hadoop Interview Questions and Answers 2015”
One of the most excellent way to get ready for a Hadoop job interview is to prepare yourself to respond to any Hadoop related interview questions that might come your way- be prepared to answer even the point-blank weird big data Hadoop interview questions!

Publish date: 8/21/2015
Social sharing volume in the past week:
18 30 41 0

“How Spark Democratizes Analytic Value from Hadoop Lakes”
So you’ve installed Hadoop and built a data lake to house all the bits and bytes that your organization previously discarded. So now what? If you follow the advice from industry experts, the next step on your analytics journey is to add Apache Spark to the mix.

Publish date: 8/24/2015
Social sharing volume in the past week:
83 8 58 3

“MapR Takes its Hadoop Distro to AWS”
MapR Technologies gives enterprises another alternative channel for its Hadoop distribution with placement in the AWS Marketplace.

Publish date: 8/20/2015
Social sharing volume in the past week:
41 5 136 0

“MapR’s Hadoop platform lands on AWS cloud”
MapR Technologies Inc. has just made its Hadoop distribution available on Amazon Web Services via the AWS Marketplace.

Publish date: 8/21/2015
Social sharing volume in the past week:
63 3 7 1

“Business Suite On HANA + Hadoop – Things to know”
This Blog is ‘To start with’ page for SAP Solution Integration with HADOOP.

Publish date: 8/23/2015
Social sharing volume in the past week:
6 2 5 0

“[SAP HANA Academy] Live4 ERP Agility: SDI Hadoop Overview”
In the next part of the SAP HANA Academy’s Live4 ERP Agile Solutions in SAP HANA Cloud Platform course, Tahir Hussain Babar (Bob) provides an overview on the source Hadoop system used in the course. The Hadoop system is where the EPA (Environmental Protection Agency) weather data has been loaded. It will be a source data set for a SAP Fiori application in the SAP HANA Cloud Platform. The data doesn’t need to be replicated in HCP and thus the data is accessed using virtual tables and remote sources created with SAP Smart Data Integration. Watch Bob’s video below.

Publish date: 8/21/2015
Social sharing volume in the past week:
2 1 6 2

“Spring for Apache Hadoop 2.3 Milestone 2 released”
We are pleased to announce the Spring for Apache Hadoop 2.3 M2 milestone release.

Publish date: 8/20/2015
Social sharing volume in the past week:
6 1 1 4

“MapR Expands Customer Cloud Deployment Options for Hadoop with Amazon Web Services”
(BUSINESS WIRE)  MapR Technologies, Inc., provider of the top-ranked distribution for Apache™ Hadoop®, today announced the immediate availability of the MapR Distribution product in Amazon Web Services (AWS) Marketplace, giving customers another quick and easy way to execute big data projects in the AWS Cloud. The MapR solution in AWS Marketplace provides a seamless path to a cloud platform for continuous, real-time operational Hadoop with fast launch and integrated billing from AWS, enabling customers to pay for only what they use with the scalability and reliability of AWS.

Publish date: 8/22/2015
Social sharing volume in the past week:
11 0 0 0

“Harte Hanks Evolves its Big Data Strategy by Adopting Apache Hadoop with the MapR Platform”
(BUSINESS WIRE)  Harte Hanks (NYSE: HHS), a leader in developing customer relationships, experiences and defining interaction led marketing, and MapR Technologies, Inc., provider of the top-ranked distribution for Apache™ Hadoop®, today announced Harte Hanks is using the MapR Distribution including Hadoop to evolve Harte Hanks’ big data solutions. By adopting the MapR data platform, Harte Hanks enhances the performance, scalability and flexibility of its solutions, enabling its clients to more easily and quickly migrate, analyze and store massive quantities of data.

Publish date: 8/22/2015
Social sharing volume in the past week:
10 0 0 0

“Hadoop – Video Learning Path – O’Reilly Media”
The standard for large-scale data processing, Hadoop makes your data truly accessible. This Learning Path provides instruction on setting up and running a Hadoop cluster, batch processing data with Pig, Hive’s SQL dialect, MapReduce, and everything else you need to parse, access, and analyze your data.

Publish date: 8/21/2015
Social sharing volume in the past week:
7 0 0 1

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