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DataStax: Making a Difference with Smart Analytics
The document provides an overview of the DataStax Enterprise (DSE) platform, particularly focusing on its analytics capabilities using Apache Spark and Cassandra. It highlights the use cases of DSE analytics in areas like Internet of Things (IoT) and fraud detection, emphasizing real-time and batch analytics. The conclusion reinforces DSE's role as a foundational operational backbone for various applications rather than a traditional data warehouse.
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DataStax: Making a Difference with Smart Analytics
- 1. DataStax Enterprise: Makinga Difference with Smart Analytics
- 2. 1 DataStax EnterprisePlatform Overview 2 Why DSE Analytics? 3 DSE Analytics Portfolio 4 Spark / C* to nail Operational Analytics 5 Use Cases 6 Conclusion 2© 2015. All Rights Reserved.
- 3. DataStax Enterprise -Platform Overview © 2015. All Rights Reserved. 3
- 4. Why DSE Analytics? ©2015. All Rights Reserved. 4 OLTP OLAP 2000's
- 5. Why DSE Analytics? ©2015. All Rights Reserved. 5 OLTP OLAP Web, Mobile, IoT
- 6. DataStax Enterprise AnalyticsPortfolio © 2015. All Rights Reserved. 6 Streaming NRT Analytics Warehousing
- 7. DSE Analytics: Spark+ Cassandra © 2015. All Rights Reserved. 7 Spark Core Engine Spark SQL Spark Streaming MLlib GraphX Spark R Cassandra / DataStax Enterprise DataStax Spark-Cassandra Connector
- 8. Operational Analytics: Sparkand Cassandra © 2015. All Rights Reserved. 8 Stream Processing Reliable Data ingestion Low Latency Lookups & Search Data @ Rest Analytics Ecosystem Integration ODBC JDBC BYOH DataStax Enterprise Analytics
- 9. DSE Analytics UseCases • Internet of Things – Cassandra can ingest all the events – Spark / Search to analyze – Spark Streaming for “standing queries” and rollups – Example: • Fraud – Bring together batch and real-time analytics for ensemble learning to detect sophisticated fraud quickly – Post trade surveillance for risk and regulatory compliance – Example: © 2015. All Rights Reserved. 9
- 10. Conclusion © 2015. AllRights Reserved. 10 • Foundational block for Web, Mobile, IoT • Operational backbone (not a data warehouse) • Backing of DataStax Enterprise Platform
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