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| MapR
https://www.mapr.com/graphics/the-world-data-counter
What is Apache Hadoop. MapR Converged Data Platform. MapR 5.2 Step-Up Program. Technical Questions and Answers. Training FAQs and Discussions. Leave blank for all. Otherwise, the first selected term will be the default instead of "Any". Leave blank for all. Otherwise, the first selected term will be the default instead of "Any". 2016 Navy Gold Coast Small Business Procurement Event. August 23, 2016. San Diego, CA. Big Data Everywhere Sydney 2016. August 24, 2016. Big Data Everywhere San Francisco 2016.
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Top 10 Reasons for Using Apache Drill - Now as Part of MapR Distribution Including Hadoop | MapR
https://www.mapr.com/blog/top-10-reasons-using-apache-drill-now-part-mapr-distribution-including-hadoop
Top 10 Reasons for Using Apache Drill - Now as Part of MapR Distribution Including Hadoop. September 16, 2014. Since Apache Drill 0.4 was released in August for experimentation on the MapR Distribution, there has been tremendous interest in the customer and partner community on the promise and potential of Drill to unlock the new types of data in their Hadoop/NoSQL systems for interactive analysis throughout the organization. Today, we are excited to announce that Apache Drill 0.5 (recently released.
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Loading HBase tables into Spark | MapR
https://www.mapr.com/developercentral/code/loading-hbase-tables-spark
What is Apache Hadoop. MapR Converged Data Platform. MapR 5.1 Step-Up Program. Technical Questions and Answers. Training FAQs and Discussions. Loading HBase tables into Spark. The following Apache Spark. AdminisTableAvailable(tableName) { print("Creating M7 Table") val tableDesc = new HTableDescriptor(tableName) tableDesc.addFamily(new HColumnDescriptor("cf1" .getBytes() ); admin.createTable(tableDesc) }else{ print("Table already exists! What is Apache Hadoop. MapR Converged Data Platform.
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Machine Learning at American Express: Benefits and Requirements | MapR
https://www.mapr.com/blog/machine-learning-american-express-benefits-and-requirements
Machine Learning at American Express: Benefits and Requirements. April 3, 2015. Curious to know how American Express. Successfully, in production, at very large scale? An audience of over 300 recently got a peek into this big data story thanks to a presentation by Chao Yuan, SVP at American Express who heads their Modeling and Decision Science Team for US Consumer Business, and by co-presenter Ted Dunning, Chief Application Architect at MapR Technologies. At an event organized by the Hive Data Think Tank.
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Apache Drill | MapR
https://www.mapr.com/products/apache-drill
What is Apache Hadoop. MapR Converged Data Platform. MapR 5.2 Step-Up Program. Technical Questions and Answers. Training FAQs and Discussions. Apache Drill enables self-service data exploration on big data with a schema-free SQL query engine. Apache Drill can discover schemas on-the-fly and enable immediate exploration of data stored in Hadoop and NoSQL stores across a variety of data formats and sources. Low latency at scale. As a business analyst or SQL specialist you can instantly query data in any fo...
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The Future of Data Warehouses and SQL-on-Hadoop | MapR
https://www.mapr.com/blog/future-data-warehouses-and-sql-hadoop
The Future of Data Warehouses and SQL-on-Hadoop. September 28, 2014. Q and A from The Future of Hadoop Analytics: Total Data Warehouses and Self-Service Data Exploration Webinar. The recent MapR webinar titled The Future of Hadoop Analytics: Total Data Warehouses and Self-Service Data Exploration. If you missed the webinar, you can watch the replay here. Following are the answers to the questions that were asked at the end of the webinar:. Q: How is Apache Drill different from SQL-on-Hadoop systems?
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Ted Dunning | MapR
https://www.mapr.com/blog/author/ted-dunning
Https:/ twitter.com/ted dunning. Chief Application Architect, MapR. Streaming Data: How to Move from State to Flow - Whiteboard Walkthrough (Part 2). Posted on July 27, 2016. Key Requirements for Streaming Platforms: A Micro-Services Advantage - Whiteboard Walkthrough (Part 1). Posted on July 27, 2016. Catching Long Tail Distribution Whiteboard Walkthrough. Posted on August 26, 2015. Some Important Streaming Algorithms You Should Know About. Posted on August 17, 2015. Ahead of the Trend: What's Hot?
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MapR Auto-Provisioning Templates | MapR
https://www.mapr.com/products/big-data-appliance-like-auto-provisioning-templates
What is Apache Hadoop. MapR Converged Data Platform. MapR 5.2 Step-Up Program. Technical Questions and Answers. Training FAQs and Discussions. MapR Auto-Provisioning Templates help you accelerate the provisioning and deployment of big data solutions based on the MapR Converged Data Platform. This module applies software-defined concepts to give you appliance-like convenience along with the flexibility and choice of hardware to build a custom, optimal, enterprise-grade data platform. Deploys services for ...
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MapR Security and Data Governance | MapR
https://www.mapr.com/products/hadoop-security-and-big-data-governance-mapr
What is Apache Hadoop. MapR Converged Data Platform. MapR 5.2 Step-Up Program. Technical Questions and Answers. Training FAQs and Discussions. Security and Data Governance. Security and Big Data Governance. Some of the key unique advantages that you get in the MapR Converged Data Platform include:. Support for Linux Pluggable Authentication Modules (PAM) gives you the widest registry support for authenticating to your MapR cluster. (MapR also provides Kerberos integration). Complete logging to see which ...
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SQL on Hadoop | MapR
https://www.mapr.com/why-hadoop/sql-hadoop
What is Apache Hadoop. MapR Converged Data Platform. MapR 5.2 Step-Up Program. Technical Questions and Answers. Training FAQs and Discussions. Gigaom Hadoop Data Warehouse Interoperability Report. MapR SQL-on-Hadoop Solution Earns Highest Score in Gigaom Research Hadoop/Data Warehouse Interoperability Report. Leverage existing SQL skills in the organization. Reuse BI, ETL, and analytics infrastructure investments with Hadoop. Apache Hadoop for MapR. KEY ASPECTS OF THE MAPR APPROACH TO SQL. MapR is commit...