Big Data Simplified

Big Data Simplified

What is Big Data?

Big data technologies are defined as extremely vast datasets that may be analysed computationally to reveal patterns, trends and associations, especially relating to human behaviour and interactions.

The volume of data would be anywhere between terabytes/petabytes of structured and unstructured data.

The datasets go through a process of data transformation where it gets analysed. Accuracy in big data may lead to more confident decision making which in turn can result in greater operational efficiency, cost reduction and reduced risk.

Why Big Data?

It is very evident that any organization which invests in Big data initiatives can get a lot of insights on its products/services.

  • Big Data facilitates in identifying a particular group of customers and hence can customize the products or services.
  • With the right analytics approach, there can be a significant improvement in decision-making, risk minimization and insights unearthing.
  • Also, Big Data can be help an organization to develop the next generation of products and services.

Hence Big Data initiatives are imperative!!

How ALTEN Calsoft Labs helps you on your company's Big Data initiatives?

ALTEN Calsoft Labs identifies your organization needs to nurture data and comes up with a goal and eventually an analytics plan so that you get the maximum insights into your business. Often data would be residing in silos in any organization. Our Analytics Platform identifes the required datasets/noiseless data through a series of data processing stages and approaches Data Analysis.

ALTEN Calsoft Labs' Analytics Platform offers micro services for various phases namely Data Ingestion, Data Processing, Data Analysis and finally Data Visualization. The platform supports all major Hadoop platform vendors like Cloudera, Infosphere Biginsights, Hortonworks HDP, MapR and also the real-time analytics using Kafka, Spark and Cassandra. Our Data Analytics team consists of talented Data scientists having expertise in machine learning who leverage a host of analytics tools like R, SAS, Python and Scala.