Hadoop and Big Data
Accelerate data ingestion, boost performance and cut cost
Hadoop and Big Data technologies are the modern enterprise platform for storing diverse and large volumes of data, and a foundation for enabling higher scales and new styles of analytics. Whether on premises or in the Cloud, Big Data platforms are fast becoming a critical part of data management infrastructures.
Hadoop also provides a modern complement to the enterprise data warehouse with significantly lower cost for storing and processing large volumes of data. With Hadoop, enterprises have the opportunity to offload less valuable data from their data warehouse as well as some workloads like ETL, freeing up valuable resources in the data warehouse while reducing total cost of ownership.
Implementations like Data Lakes and technologies like Apache Kafka enable new architectures to support growth and innovation. At the same time, they create the need for new technologies to ingest Big Data at scale, manage performance and control cost.
According to a recent survey by Bloor Group, predictive analytics, data lakes, data warehouse augmentation and real-time analytics are the top Hadoop use cases among enterprise adopters. Attunity software solutions help address common big data management challenges so enterprises can:
- Accelerate data ingest at scale from many sources into your data lake
- Enable real-time analytics with live data, from many sources, at scale
- Rebalance data and ETL workloads to optimize cost and performance
- Manage your data lake with intelligence and governance
Solutions for Hadoop and Big Data