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Big Data Overview ~ Big Data Tutorials

http://www.bigdata-tutorials.blogspot.com/2014/02/big-data-overview.html

What is Big Data? Big Data is a term coined to represent the collection of data assets so huge such that traditional methods for storage and data analysis would fall short of handling it effectively. The key challenges or characteristics which differentiates Big Data from regular data sets are termed as 3 Vs. Let's understand each of these in a more detailed level. The speed at which data is made available is the need of our latest business models which would need real time data to plan their customer in...

2

HBase Overview ~ Big Data Tutorials

http://www.bigdata-tutorials.blogspot.com/2014/02/hbase-overview.html

Strongly consistent reads/writes: HBase is not an "eventually consistent" DataStore. This makes it very suitable for tasks such as high-speed counter aggregation. Automatic sharding: HBase tables are distributed on the cluster via regions, and regions are automatically split and re-distributed as your data grows. Hadoop/HDFS Integration: HBase supports HDFS out of the box as its distributed file system. Java Client API: HBase supports an easy to use Java API for programmatic access.

3

Solr Overview ~ Big Data Tutorials

http://www.bigdata-tutorials.blogspot.com/2014/02/solr-overview.html

Solr is the popular, blazing fast open source enterprise search platform from the Apache Lucene TM. Solr is a standalone enterprise search server with a REST-like API. You put documents in it (called "indexing") via XML, JSON, CSV or binary over HTTP. You query it via HTTP GET and receive XML, JSON, CSV or binary results. Advanced Full-Text Search Capabilities. Optimized for High Volume Web Traffic. Standards Based Open Interfaces - XML, JSON and HTTP. Comprehensive HTML Administration Interfaces. Apache...

4

Big Data Trends ~ Big Data Tutorials

http://www.bigdata-tutorials.blogspot.com/2014/02/big-data-trends_9.html

The latest trends from the world of Big Data are summarized below for your faster consumption. 1) More Analytics and Less Guesses. Needless to stay Big Data and its Analytics is a trend which will define the future of how business decisions are to be made. 2) Privacy and Security on Big Data. 3) Real Investments on Big Data. If the prior years saw more of POCs wherein businesses were exploring the potential of big data. Compared to the investments getting planned currently that was just the tip of th...

5

Big Data Challenges ~ Big Data Tutorials

http://www.bigdata-tutorials.blogspot.com/2014/02/big-data-challenges_9.html

Big Data is here to stay and there are definitely no two ways on the same. At the same time the unique opportunity which Big Data brings to the current technology landscape also brings along-with few unique challenges which needs to be understood and tackled with:-. Merging the traditional structured data assets and the unstructured/alternative structured data assets towards holistic analytics would remain one of the key challenges for Big Data as a Platform. 2) Privacy and Security. The key question whi...

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