Whiteklay Value Proposition

Whiteklay’s IZAC framework works to provision a real-time data exchange platform that enables real-time connectivity to multiple structured and unstructured data sources like SQL RDBMS, weblogs, social media, security logs, IOT devices, NoSQL databases (Elastic Search), Hbase, Mongo DB, Druid, and many more.

 

Whiteklay's IZAC framework is a real-time data exchange platform that connects to a variety of structured and unstructured data sources, including SQL RDBMS, weblogs, social media, security logs, IoT devices, NoSQL databases (Elastic Search), Hbase, Mongo DB, Druid, and others. Users can define specific connectors for their diverse set of structured, semi-structured, and unstructured data sources. Users can preview data structures at the sources, capture changed data from the sources (insert, delete, update), and publish the data independently. Deletion of data at source does not lead to deletion within IZAC, giving users’ flexibility to explore the data. Furthermore, data deletion can be timed. There is no restriction on the number of data pipelines for data extraction and related statistics are available in real time. Statistics like null counts, min, sum, max, etc. are visible in real time. IZAC supports data sharing with different members of the same organization. IZAC can restrict access to data assets to particular users within the platform.

challenges for businesses

Why us?

Whiteklay is a nimble juggernaut that is massively impacting the data exchange space with its open source stack product, IZAC. In being ahead of the curve, IZAC is now serving more than 400 million consumers and 20 billion records a day – all in a span of less than 6 months since its soft launch.

Through its exclusive learning platform for the world’s leading data-space players, Whiteklay also focuses on evolving the data eco-system and expanding the pool of professionals.

Whiteklay is your digital transformation enabler, supporting you in monetizing your data by facilitating seamless data sourcing from any source and transforming it to enable decision science using machine learning and AI.

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