BI - Bigdata - Real Time Analytics

We Ought to make Bigdata look small

Volumes of Data is proliferating.It requires Batch and Real-time processing capabilities to effectively handle the business. Our Bigdata services are here with providing dynamic solutions in processing large chunks of Data using the right set of tools outlined below.

We build scalable systems that can perform Real-Time Analytics , Ad-Hoc Analytics, Batch Analytics and can Store the data , can Process it and can Predict real-time requirements.

Ipowersoft Bigdata Service offering Lifecycle

Storage Definations

Terabyte

Storage capacity that can accommodate a 1000 billion bytes(1000 gigabytes). Can store approximately 2000 movies in one Terabyte hard drive.

Petabyte

Storage capacity that can accommodate 1000 Terabytes / 1,000,000gigabytes

Exabyte

Storage capacity that can accommodate 1000 000 Terabytes

Zettabyte

Storage capacity that can accommodate 1000 000 000 Terabytes.

Yottabyte

Storage capacity that can accommodate 1000 000 000 000 Terabytes.

Database solutions integrated with bigdata services

NoSQL database can store and retrieve data that is modeled in means other than the tabular relations used in relational databases . NoSQL has gain momentum in recent times and is extensively used in Bigdata.

The rising demand for database requirement has brought in new trends in database related technologies.We provide extensive NoSQL database and Bigdata services that help you leverage the power of the data at its best.

Here is classification of NoSQL database solutions that we are expertise on and will integrate with bigdata strategy

APACHE HBase

HBase can handle very large workloads and is suited for data warehousing or large scale data processing and analysis such as web indexing. However, cluster setup can be difficult. Hypertable acts as a smaller, faster HBase, also suitable for search engines and analyzing log data.

Cassandra

This is a scalable, efficient, wide-column database. Like HBase, Cassandra too supports distributed counters. It has high availability and affords operational simplicity as there is only one type of node. Cassandra can be used in real time transaction processing and web analytics.

MongoDB

With query and index properties, MongoDB is SQL-friendly and a popular document store. It is best suited for content management systems, comment storage, or voting.

Neo4j

When the data in hand is interconnected and best represented in graphs, Neo4j is the database to go for. It can be used for network topologies, road maps, social recommendations and more.

Amazon DynamoDB

For database applications that require very low latency and predictable performance at any scale, Amazon DynamoDB is a fully-managed, high performance, non-relational database service that is easy to set up, operate, and scale.

Amazon SimpleDB

Amazon SimpleDB is a distributed database used as a web service in concert with Amazon Elastic Compute Cloud (EC2) and Amazon S3.

Cloudant Data Layer (CouchDB)

Couchbase develops and supports Couchbase Server, a high-performance distributed key-value store. Couchbase delivers support, services, and training for commercial-grade deployments of Couchbase Server on AWS.

Redis

Redis - Remote Dictionary Server is an open source, key-value cache and store ,data structure server . It is quite famous in recent times due to its key-value database.

Solr

Apache Solr is an open source database solution which is reliable,scalable and provides distributed indexing, replication and load-balanced querying, automated failover and recovery, centralized configuration. It has got powerful Search index and navigation features.

ElasticSearch

An another powerful open source search Index and has got its own kind. It is distributed full-text search engine with a RESTful web interface and schema-free JSON documents.

With exhaustive experience in implementation ,our expertise covers a wide range of the necessary consulting implementation, and administrative specialization on these NoSQL building blocks.

Organizations Data is growing massively and with our help you can reduce data latency and keep it organized and ready to use .To learn more about what Bigdata can do for you, please contact us.

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