Enterprise Hadoop Solution distributed by key Hadoop vendors

Lets start from Cloudera Enterprise Data Hub:

Here is the offering from Hortonworks:

And this is how MapR is packaging Enterprise Hadoop

And finally Pivotal Enterprise Hadoop offering:

Keywords: Apache Hadoop, Cloudera, Hortonworks, Pivotal, MapR, Big Data

Open Source Distributed Analytics Engine with SQL interface and OLAP on Hadoop by eBay – Kylin

What is Kilyn?

• Kylin is an open source Distributed Analytics Engine with SQL interface and multi-dimensional analysis (OLAP) to support extremely large datasets on Hadoop by eBay.

Key Features:

• Extremely Fast OLAP Engine at Scale:
  • Kylin is designed to reduce query latency on Hadoop for 10+ billions of rows of data
• ANSI-SQL Interface on Hadoop:
  • Kylin offers ANSI-SQL on Hadoop and supports most ANSI-SQL query functions
• Interactive Query Capability:
  • Users can interact with Hadoop data via Kylin at sub-second latency, better than Hive queries for the same dataset
• MOLAP Cube:
  • User can define a data model and pre-build in Kylin with more than 10+ billions of raw data records
• Seamless Integration with BI Tools:
  • Kylin currently offers integration capability with BI Tools like Tableau.
• Other Highlights:
  • Job Management and Monitoring
  • Compression and Encoding Support
  • Incremental Refresh of Cubes
  • Leverage HBase Coprocessor for query latency
  • Approximate Query Capability for distinct Count (HyperLogLog)
  • Easy Web interface to manage, build, monitor and query cubes
  • Security capability to set ACL at Cube/Project Level
  • Support LDAP Integration

Find it at Github: https://github.com/KylinOLAP/Kylin

Learn more at: http://www.kylin.io/index.html

Keywords: Kylin, Big Data, Hadoop, Jobs, OLAP, SQL, Query

The present and future of Hadoop from its creator Doug Cutting

At Starta + Hadoop world, Hadoop creator Dough Cutting explained Hadoop and talked more about its present and future. Doug talked about:

• What is Hadoop?
• How the name “Hadoop” came from?
• What a Hadoop application look like?
• Ethical use of Data
• Quick plans and future strategy

Here is the full interview:

Big Data – Transition from Velocity, Variety and Volume to adding Variability and Complexity in the mix

Previous Definition: Velocity, Variety and Volume

New Definition: Velocity, Variety and Volume + Variability and Complexity

Spending on Big Data Returns Big Profit

Spending on Big Data Returns Big Profit

What’s The Big Deal About Big Data?

What’s The Big Deal About Big Data?

Understanding The Various Sources of Big Data

Understanding The Various Sources of Big Data