Business is looking for insight from the four V’s of big data – volume, variety, velocity and veracity. However, data analysts still battle to find and harness all types of data across the enterprise. Current approaches of hand coding and code generation tools struggle to discover relationships between data sets, and stress over the risk of inconsistent, incomplete and stale data. The result is an unmanageable data swamp and the typical response is to pile on multiple point products and labor-intensive, manual processes to integrate, govern and secure the data in the data lake. What’s needed is a pristine and intelligent data lake. Now, Informatica®, the provider of data management solutions, offers business and IT a comprehensive, self-service approach that dramatically shortens the time to value with cloud ready data lakes out-of-the-box.
Ease of use and a delightful user experience along with robust governance and metadata capabilities are critical for getting business value out of data lakes. Without these capabilities, data lakes easily swallow up data analysts’ time, creating excessive manual effort and delivering a diminishing return,” said Amit Walia, executive vice president and chief product officer, Informatica. “Informatica Data Lake Management is the only comprehensive solution in the market for efficiently ingesting, finding, preparing, governing and protecting data in Hadoop-based data lakes. We are committed to delivering new innovations to enable more enterprises to get business value from data lakes, with newer out-of-the-box data lakes and additional big data management innovations to further accelerate the delivery of trusted, fit-for-purpose data to users across the enterprise.”
Informatica announced it is expanding its Data Lake Management solution to strengthen and deepen the only single, integrated and out-of-the-box solution for turning big data into business value. Unlike fragmented point solutions, Informatica’s solution enables data analysts of all kinds to easily find, prepare, govern and protect data of any size and velocity to more efficiently and confidently drive business value from Hadoop-based data lakes.
As a highly trusted provider of banking services, US Bank is committed to a data-driven approach for protecting our consumers from suspicious behavior and complying with anti-money laundering regulations,” said Rakesh Kant, Head of Enterprise Data Management and Analytics, US Bank. “As a very early adopter of Informatica’s data lake capabilities for fraud detection, US Bank was able to rapidly transition mainframe based processes to Hadoop, while continuing to ensure compliance with audit and security requirements. Informatica’s data lake management innovations support our ability to detect fraud comprehensively and maintain AML compliance.”
Informatica Data Lake Management now includes the following innovations brought together with a single metadata driven platform:
- Informatica Enterprise Information Catalog – enables business users to quickly discover and understand all enterprise data using intelligent self-service tools powered by machine learning and AI.
- Informatica Intelligent Streaming – helps organizations more efficiently capture and process big data (machine, social media feeds, website click stream, etc.) and real-time events to gain timely insight for business initiatives, such as IoT, marketing and fraud detection.
- Informatica Blaze – dramatically increases Hadoop processing performance with intelligent data pipelining, job partitioning, job recovery and scaling powered by a unique cluster aware data processing engine integrated with YARN.
- Informatcia Secure@Source® – reduces the risk of proliferation of sensitive and private data with enhanced monitoring and alerting of sensitive data based on both risk conditions and user access/activity.
- Informatica Big Data Management™ – is easily and rapidly deployed in the cloud with the click of a button through the Microsoft Azure Marketplace to integrate, govern, and secure big data at scale in Hadoop.
- Informatica Cloud Microsoft Azure Data Lake Store Connector – helps customers achieve faster business insights by providing self-service connectivity to integrate and synchronize diverse data sets into Microsoft Azure Data Lake Store.
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