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Become a Big Data Solution Architect

IndSoft provides a team of Consulting Analysts who also will train your personnel, helping you save tremendous time and effort when performing foundational modeling and data analysis. Your personnel will be taught how to work within the data warehouse or mart, rather than moving giant datasets off to separate, typically underpowered analytic servers. Taking advantage of the power of massively parallel processing within the database, our trained analysts can help you work faster and develop more models for finely-grained data analysis with less time, effort, and cost.

Many companies are embracing analytic work and predictive analytics on Hadoop, which will enable these companies to build predictive models within Hadoop without having to extract the data. And, when it's Big Data, data movement delays can be cost prohibitive, and is one of the reasons why our trained analysts and trainers will help you deliver on your analytic project remaining within budget.

Become a Big Data Solution Architect


Apache Hadoop is 100% open source, and pioneered a fundamentally new way of storing and processing data. Instead of relying on expensive, proprietary hardware and different systems to store and process data, Hadoop enables distributed parallel processing of huge amounts of data across inexpensive, industry-standard servers that both store and process the data, and can scale without limits. With Hadoop, no data is too big. And in today's hyper-connected world, where more and more data is being created every day, Hadoop's breakthrough advantages mean that businesses organizations can now find value in data that was recently considered useless.

By making all of your data useable, not just what's in your databases, Hadoop lets you see relationships that were hidden before and reveal answers that have always been just out of reach. You can start making more decisions based on hard data instead of hunches and look at complete data sets, not just samples.

Hadoop is a framework written in Java for running applications on large clusters of commodity hardware and incorporates features similar to those of the Google File System and of MapReduce. HDFS is a highly fault-tolerant distributed file system and like Hadoop designed to be deployed on low-cost hardware. It provides high throughput access to application data and is suitable for applications that have large data sets.

Apache Hadoop has been the driving force behind the growth of the big data industry. Hadoop brings the ability to cheaply process large amounts of data, regardless of its structure. With Hadoop, no data is too big. And in today's hyper-connected world where more and more data is being created every day, Hadoop's breakthrough advantages mean that businesses and organizations can now find value in data that was recently considered useless.
Many organizations are currently planning or underway with projects to take advantage of Hadoop. IndSoft can help.

Hadoop can handle all types of data from disparate systems: structured, unstructured, log files, pictures, audio files, communications records, email– just about anything you can think of, regardless of its native format. Even when different types of data have been stored in unrelated systems, you can dump it all into your Hadoop cluster with no prior need for a schema. In other words, you don't need to know how you intend to query your data before you store it; Hadoop lets you decide later and over time can reveal questions you never even thought to ask.

IndSoft provides a team of Consulting Analysts who can help you install, configure, optimize, tune and run Hadoop for your business requirements, including your large-scale data processing and analysis, in a vendor agnostic manner using Apache distribution, or in a vendor specific manner using Cloudera or HortonWorks distributions. You can run your distribution on the servers in your data center or in the cloud (Amazon EC2).

IndSoft can provide you with guidance and hands-on expertise to address unique enterprise challenges, including:

IndSoft can help you to identify business use cases. IndSoft's Use Case Discovery involves in-depth interviews with the business teams to understand the requirements and showcase the potential impact of Hadoop on your business. It includes:

  • Identifying the scope of the Use Case
  • Identifying the Success Criteria
  • Documentation of all the Use Cases, Scope, and Success Criteria

An initial Hadoop proof of concept requires proper scope, cluster setup, and deep knowledge of the Hadoop ecosystem. It includes:

  • Setup Hadoop cluster
  • Injecting the data in to the cluster
  • Benchmarking and fine tuning the cluster
  • Documentation of the process and results

IndSoft's expert guidance can help you deploy a production pilot project using Hadoop. IndSoft provides:

  • Build Production-Pilot Hadoop Cluster
  • Injecting Data in to the cluster (ETL, Automation Scripts)
  • Benchmarking and Performance Tuning
  • Security
  • Documentation of the process and detailed procedures for ongoing cluster maintenance and operation

IndSoft provides services to create reporting on the data in the Hadoop cluster. Services include:

  • Create Hive Tables
  • Create Pig Scripts
  • Create Hive Aggregate Tables
  • Connect the corporate reporting application to Hive Tables
  • Documentation of all the processes involved in generating the Reports

IndSoft provides services to support existing implementations of Hadoop. Services include:

  • Performance Tuning
  • Migrating Hadoop cluster from Apache to Cloudera or HortonWorks distribution
  • Upgrade Hadoop cluster from one version to another
  • Troubleshooting

IndSoft provides services to enhance the functionality of the existing Hadoop implementations. Services include:

  • Proof of Concept
  • Reporting
  • Training
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