Happiest Minds enables organizations conceptualize and drive a well thought-out big data program across multiple domains and focus areas, which enable them achieve the twin objectives of revenue maximization and increasing operational efficiency. Find out more at - http://www.happiestminds.com/big-data-analytics/ http://www.happiestminds.com/big-data-tools.pdf

1. BIG DATA TOOLS
Top 10 open source
technologies for Big Data

2. SO WHAT DO YOU DO WITH YOUR GOLD MINE OF INSIGHTS?
Happiest Minds presents TOP 10 open source technologies that are the best in
the market to harness, analyze and make the most sense out of Big Data.
We are in an ever expanding marketplace!!!
With shorter product lifecycles, evolving customer behavior
and an economy that travels at the speed of light
AND
Information (which we now have more than enough access
to) has gone on to be more about analytics and business
relevance.

3. You simply can't talk about big
data without mentioning
Hadoop
The Apache distributed data processing software is so pervasive
that sometimes the terms "Hadoop" and "big data" get used
synonymously
Hadoop is known for the ability to process extremely large data in
both structured and unstructured formats reliably replicating chunks
of data to nodes in the cluster and making it available locally on the
processing machine
Apache Foundation also sponsors a number of related projects that
extend the capabilities of big data Hadoop

4. If Hadoop is the big data mahout, MapReduce
happens to be it’s lifeline
A programming model and software framework
for writing applications, MapReduce works to
rapidly process vast amounts of data in parallel
on large clusters of compute nodes
Widely used by Hadoop, as well as many other
data processing applications
MapReduce was originally
developed by Google!

5. GridGain is a Java based middleware for faster in-memory
processing of Big Data in real time
GridGain is compatible with the Hadoop Distributed File
System
Requires Windows, Linux or Mac OS X operating system
GridGain offers an alternative
to MapReduce

6. Developed by LexisNexis Risk Solutions, HPCC is short for
"high performance computing cluster"
HPCC Systems delivers on a single platform, a single
architecture and a single programming language for data
processing
Both free community versions and paid enterprise versions
are available
HPCC claims to offer superior
performance to Hadoop

7. Storm differs from other tools with it’s distributed, real-time,
fault-tolerant processing system, unlike batch processing
systems of Hadoop
Real-time computation capabilities, it is fast and highly
scalable, often being described as the "Hadoop of real-time"
Fault-tolerant and works with nearly all programming
languages, though typically Java is used
Coming from the Apache family,
Storm is now owned by Twitter

8. Cassandra is a highly scalable NoSQL database for massive
data across multiple data centers and the cloud
Used by many organizations with large, active datasets,
including Netflix, Twitter, Urban Airship, Constant Contact,
Reddit, Cisco and Digg
Its commercial support and services are available through
third-party vendors
Originally developed by
Facebook, it is now managed by
the Apache Foundation

9. HBase is the non-relational data store for Hadoop
Being a column-oriented database management system,
HBase is well suited for sparse data sets and is written in Java
Supports writing applications such as Avro, REST and Thrift
Features include:
 linear and modular scalability
 strictly consistent reads and writes
 automatic failover support and much more
Developed as part of the Apache
Hadoop project, HBase runs on top of
Hadoop Distributed Filesystem

10. MongoDB was originally developed by 10gen designed to
support humongous databases
It's a NoSQL database written in C++ with document-oriented
storage, full index support, replication and high availability
and scales horizontally without compromising functionality
Commercial support is available through 10gen
mongoDB literally comes from the
term ‘humongous’ and is the most
popular NoSQL database system

11. Neo4j boasts performance improvements of up to 1000x or
more versus relational databases
Stores data structured in graphs instead of tables and is a
disk-based, fully transactional Java engine
Organizations can purchase advanced and enterprise versions
from Neo Technology
Developed by Neo Technologies,
this is the world’s leading graph
database

12. CouchDB stores data in JSON documents that can be
accessed via the web or query using JavaScript
Offers distributed scaling with fault-tolerant storage
Key featured include:
 On-the-fly document transformation
 Real-time change notifications
 Easy-to-use web administration console
Another one from the Apache
Foundation, CouchDB is
completely made for the web

13. About Happiest Minds Technologies
Happiest Minds enables Digital Transformation for enterprises and technology providers by delivering seamless customer experience,
business efficiency and actionable insights through an integrated set of disruptive technologies: big data analytics, internet of things,
mobility, cloud, security, unified communications, etc. Happiest Minds offers domain centric solutions applying skills, IPs and
functional expertise in IT Services, Product Engineering, Infrastructure Management and Security. These services have applicability
across industry sectors such as retail, consumer packaged goods, e-commerce, banking, insurance, hi-tech, engineering R&D,
manufacturing, automotive and travel/transportation/hospitality.
Headquartered in Bangalore, India, Happiest Minds has operations in the US, UK, Singapore, Australia and has secured $ 52.5 million
Series-A funding. Its investors are JPMorgan Private Equity Group, Intel Capital and Ashok Soota.
For more information, visit http://www.happiestminds.com
Learn more about Big Data