Big Data is a concept of extracting insights from unforeseen data that is in disparate data structure, previously these data used to discard periodically due to heavy data Volume, getting generated in high Velocities & in distinct Varieties. Avid provides plentiful Big Data Solutions to identify business solutions from these Big Data sources to solve real-time problems.
Not able to process regular batch processing of huge data in large scale enterprise database (DB) clusters or data warehouse (DW) systems. Solution is simple ETL the enterprise data with help of Hadoop & Spark to Big Data infrastructure (cloud, on-premises or hybrid) & process same jobs in Hadoop & Spark distributed cluster within fraction of time compared to legacy enterprise systems. Data security & governance data on-rest & on-fly is completely possible with enterprise approved compliance standards.
Data Migration from enterprise systems to Big Data infrastructure for out-of-the-box data processing may not be agile. Our Data Virtualization solution will help you perform data processing, analytics on-the-fly without any data movement to Big Data infrastructure. So you can save lot of time from data migration activities, by leveraging Spark in-memory computing.
Bring your disparate data sources & connect them to Hadoop to build data lake by storing data in raw format. Build a relevant data model in Hadoop & provide this data-as-a-service to your BI tools & perform data processing, visualization. You know what, data storage, processing at large scale is very cheap.
Your existing data sources such as data warehouses, traditional databases, & unstructured data sources can be migrated to Hadoop using state-of-the-art data engineering pipelines. Migrated data will be stored in scalable NoSQL database clusters with accessible data model. This data can be integrated & connected to existing BI intelligence tools & reporting services, then your business is as usual with high turnaround time for business solutions.
Cassandra is scalable & distributed NoSQL database powered by master-less ring architecture. It can be leveraged to use storage of large data & provide data to applications seamlessly with complete fault tolerance. Cassandra supports various complex data models such as Time-series, graph, wide column. Data is by default replicated & stored optimal, a few glitches in Cassandra cluster will not impact the performance of cluster.
Our bench of expertise in architecting Big Data infrastructure in any cloud service, will help your organizations to get track on analytics on Cloud using Big Data tools such as Hadoop, Spark & other tools within less time. So you just concentrate on your analytics code & ML models part, rest of the infrastructure setup, maintenance, support, security & governance is our task.