Big Data Engineering as a Service

Big Data Engineering as a Service

Data Pipelines * Hadoop/Spark Ecosystems * NoSQL Data Stores * Stream Processing
We offer design and development of real-time, batch and streaming based Big Data Solutions that include data pipelines, stream processing, Hadoop/Spark ecosystem, and NoSQL data stores. We develop new solutions along with solutions that integrate with your existing systems. We can build solutions in cloud, on-premises or in a hosting service provided data center. Our offerings for Big Data Engineering as a Service (BDES) include, but are not limited to the following:
  • Design, development and maintenance of Data Ingestion systems - Data pipelines, Big Data ETL, Stream Processing
  • Design, development and maintenance of Big Data Processing systems using MapReduce in Hadoop/Spark
  • Design, development and maintenance of Data Lakes and Big Data Storage systems using NoSQL and Conventional Stores
  • Design, Development and Maintenance of Big Data Infrastructure for building Data Lakes

We have data engineers who are proficient in tools and technologies for big and conventional data engineering, including, but not limited to, the following:

  • HDFS, MapReduce, Yarn, PIG, Hive
  • We choose the best NoSQL stores for your data lake storage needs: KeyValue Stores - Redis, memcache, Riak Document Stores - MongoDB, CouchDB, Couchbase Graph Stores - Neo4j, Stardog Tabular Stores - Accumulo, BigTable, Hbase Columnar Stores - Cassandra, BigTable, Druid, HBase
  • Luigi, Airflow, Oozie, Azkaban
  • Amazon Cloud, Microsoft Cloud, Google Cloud, IBM Cloud
  • SaltStack, Jenkins, InfluxDB/Graphana, Ganglina, Nagios, Cacti, Zabbix

(407) 381-3742 Contact Us Today

Contact Us