Big DataPosted in: | July 24, 2012 at 12:52 pm, by

Big Data poses an unlimited set of possibilities to harness business insight from vast amount of data. In recent years, with the advent of new hardware, software and desire to store terabyes and petabyes of application data,
web interactions, machine data or even unlimited transaction information; companies are in need of tools and framework to harness these vast data storehouses to gain sensible insight.

Technology evaluation:
It is oftentimes challenging to pick the right technology stack for your Big Data strategy. Analysis Express works with several vendors, including popular Open Source vendors, to identify and select the optimal solution for your business needs.

We start with creating technology roadmap, vendor selection, and then implementation strategy. We perform necessary R&D, Best Practices and Proof of Concepts to ensure your BIG data initiatives will be successful.

Implementation services

Design, Development of new system or redesign existing one
Configuration, Integration, Performance Tuning
Integration of commercial and open source systems
Migration of existing systems to a new version or new platform
Maintenance and feature enhancements
Training

Hadoop:
Hadoop is an Open Source and Apache Project designed to process terabytes and even petabytes of unstructured and structured data. Based on Google File System (GFS) Hadoop breaks large workloads into smaller data blocks that are distributed across commodity hardware for faster processing

MongoDB:
MongoDB is an Open Source, high performance scalable document oriented database storage developed by 10gen. Designed for real time content processing MongoDB uses GridFS for storing large files

Neo4j:
Neo4J is an Open Source graph database developed in Java with data structured in graphs rather than tables. Neo4J can handle graphs several billions of nodes, relationship, properties in a single machine

HPCC
HPCC (High Performance Computing Cluster) is a massive parallel-processing computing platform that solves Big Data problems. The platform is now Open Source!
Teradata Aster MapReduce Platform
Teradata Aster MapReduce Platform delivers a massively parallel processing infrastructure with a software solution that embeds both SQL and MapReduce analytic processing for deeper analytic insights on multi-structured data and new analytic capabilities driven by data science. Built not only to store large volumes of data but also to process rich analytic applications in-database, Teradata Aster MapReduce Platform is optimized for big data analytics.