Big Data Software
Technologies & Tools

We develop software for big data analysis in real-time as well as software sniffing for data patterns, machine learning and unstructured data stored in offline storage. Our big-data technology stack includes Hadoop, Spark, Flink, Cassandra, Kafka and many other packages knows collectively as Big-Data stack.

We can help you consolidate data from variety of sources, integrate into a common data model using data persistence based on either relational or NoSQL data storage. We have worked with MongoDB and Cassandra to store unstructured data. We will build programming interfaces to access and analyze your data. Whether it’s internal or external data – we’ll help you structure it in a way that makes sense for your business domain.

We can help you accelerate the pace of business intelligence development with new Big-Data Open Source packages and tools. We can offer you experience with:

Data modeling in Hadoop including data storage options, HDFS schema design, HBase schema design, and managing metadata

Data movement in Hadoop including data ingestion considerations (timeliness, incremental updates, access patterns, transformations, security, complexity, etc.) and options (file transfers, Sqoop, Flume, and Kafka)