AI and big data are driving innovation across all industries. Innovations such as automated image recognition real-time fraud detection and genome sequencing are changing the way businesses operate.
Data engineers clean and transform, data data scientists create and test machine learning models - but it is challenging to translate one's efforts into business outcomes.
Different skills sets are required - Python, Scala and different other tools, making collaboration harder.
Ninety percent of time is spent with complex data pipelines and disjointed tools just to prepare the data for analytics. Security becomes an afterthought and innovation a distant dream.
Adopting the data bricks unified analytics platform enables teams to accelerate AI and innovation. It is from the creators of Apache spark, the platform is up to 100 times faster.
It's unified data management simplifies data engineering by enforcing data integrity and automating performance - thereby enabling teams to make data available for analytics in near real-time.
It unifies teams - data engineers build data pipelines unifying both streaming and historical data, data scientists build machine learning models using python or scala and deep learning frameworks like tensor-flow, all in one place. Business users consume real-time dashboards.
Data bricks is a service that does not have to be manually configured or scaled. It is cloud-based, fully managed and enterprise security ensures data is protected with this platform. Innovation is accelerated and more projects taken-on thereby producing results.
Data Bricks truly simplifies one's approach to Big Data and Artificial Intelligence.
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