Big Data Engineering

With data being at the intersection of everything in the Zettabyte era, advanced Big Data and Analytics software combined with availability of cloud based applications is becoming the key to deriving insights to support business decisions. Organizations are eagerly deploying Big Data processing, storage and integration technologies in on-premises and public cloud-based solutions. These solutions are often seen as providing faster time to market, more flexibility in deployment, and as cost effective alternatives to further in-house investments in data warehousing, data-mart infrastructure. Cloud-based Big Data solutions are hosted on Infrastructure as a Service (IaaS), delivered as Platform as a Service (PaaS), or as Big Data applications (and data services) via Software as a Service (SaaS).

Our enterprise information management capability map is as below:

We provide holistic solutions around Data Management from infrastructure setups to traditional data management solutions like Data warehousing and ETL to Big Data applications.

We have organized and integrated large volumes of structured and unstructured data including huge volume of transaction data, call center logs, tweets, chats, web posts, feedback and blogs using technologies like traditional databases / data-marts, Hadoop, NoSql andMPP (Massively Parallel Processing Databases).With a good understanding of analyzing real-time data, we have leveraged our advanced analytics capabilities using various statistical and machine learning algorithms to generate useful insights from these varied data infrastructures. This had helped businesses in better alignment of their objectives, faster response to opportunities & threats.

We are technology agnostic, and offer our solution on a variety of technology platforms to suit client requirements. We offer data management and ETL expertise in Oracle, DB2, SQL Server, SSIS, Datastage, Informatica and other similar tools & platforms. Our mainstream tools for Big Data include Hadoop, Apache Hive, Pig, Hbase, Spark, MongoDB, Talend and others.

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Industry : Retail