The Future of Big Data with Data Lakehouse


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big-data-evolution

Introduction
Big data beginnings
New big data 
approaches 
Big data challenges 
Data lakes
Data lakehouses
AI and ML 
 
Business use cases
Conclusion


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Big data is less about individual pieces of data and more about gleaning value and meaning from it. 
Today, data is coming from more sources, in more formats, more quickly than ever before. With the 
right technologies and infrastructure in place, organizations can get value from their data so they can 
make faster decisions. 
For many organizations, big data plays an important role in reducing costs, increasing productivity, 
improving customer service, and more. Oracle 
big data
 
services can help simplify your IT operations 
by managing, cataloging, and processing raw data. Oracle offers object storage and Hadoop-based 
data lakes for persistence; 
data lakehouses
for flexibility and performance; Spark for processing; and 
analysis through Oracle Cloud SQL or the customer’s analytical tool of choice. 
Conclusion
Simplify big data 
application delivery 
with Apache Spark
Make it easier to build 
managed data lakes
Enable self-service 
data discovery and 
governance
Create a high-
performance data 
warehouse
Let Oracle help your business evolve
Introduction
Big data beginnings
New big data 
approaches 
Big data challenges 
Data lakes
Data lakehouses
AI and ML 
 
Business use cases
Conclusion
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error-free, nor subject to any other warranties or conditions, whether expressed orally or implied in law, including implied warranties and conditions of merchantability or fitness for a particular purpose. We specifically disclaim 
any liability with respect to this document, and no contractual obligations are formed either directly or indirectly by this document. This document may not be reproduced or transmitted in any form or by any means, electronic 
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