Put all your data to work. Use a data lake to gather, store and analyze your structured, semi-structured and unstructured data, and facilitate the extraction of actionable insights.
What is a data lake?
Data lakes are next-generation hybrid data management solutions that can meet big data challenges and drive new levels of real-time analytics. Their highly scalable environment can support extremely large data volumes and accept data in its native format from a wide variety of data sources. Data lakes can help break down silos, enabling organizations to gain 360-degree views of information and conduct cross-department, office or regional analytics. They also enable adoption of modern technologies such as artificial intelligence (AI) and the Internet of Things (IoT).
Federate and query virtually any data
The highly scalable, enterprise-grade SQL for Hadoop concurrently exploits Apache Hive, HBase and Spark, using a single query or database connection that reduces latency and supports ad hoc and complex queries.
Drive machine learning and advanced analytics
Create new analytic models quickly and easily in a collaborative environment. Build and train machine-learning models and prepare and analyze data in a flexible hybrid cloud environment.
Reduce IT and warehouse costs
Use commodity hardware when building your data lake to drive unlimited scalability and decrease capital expenditures. Save additional costs when using the data lake as a repository for older data that would otherwise take up capacity in a more expensive data warehouse.
Improve data-driven decisions
Federate and analyze data from more sources for deeper insights and more accurate results. Data lake governance features help ensure data is relevant and trustworthy. Coupled with real-time analytics and AI capabilities, the data lake allows your organization to seize new opportunities as they unfold.
Find out more about how we can help your organization navigate its next. Let us know your areas of interest so that we can services you better.