Real-Time Kafka / MapR Streams Data Ingestion into HBase / MapR-DB via PySpark
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Streaming data is becoming an essential part of every data integration project nowadays, if not a focus requirement, a second nature. Advantages gained from real-time data streaming are so many. To name a few: real-time analytics and decision making, better resource utilization, data pipelining, facilitation for micro-services and much more. Python has many modules out […]
Capitalizing on IoT using Oracle Stream Analytics – Oil&Gas In Action!
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Introduction IoT is one of the main frontier in technology today, it provides endless benefits by converting “dumb” devices into smarter and more efficient ones. It’s already a widely adopted concept and can be seen in many applications such as fitness trackers to cars to home security cameras. IoT, on one hand, enables “things” to […]
MapR-FS Real-Time Transactional Data Ingestion using Oracle GoldenGate
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“MapR-FS is a POSIX file system that provides distributed, reliable, high performance, scalable, and full read/write data storage for the MapR Converged Data Platform. MapR-FS supports the HDFS API, fast NFS access, access controls (MapR ACEs), and transparent data compression. MapR-FS includes enterprise-grade features such as block-level mirroring for mission-critical disaster recovery as well as load balancing, […]
SEAMLESS Real-Time Data Streaming & Exploration with Oracle GoldenGate & Oracle Stream Analytics
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Oracle GoldenGate for Big Data 12c product streams transactional data into big data systems in real time, without impacting the performance of source systems. It stream lines real-time data delivery into most popular big data solutions, including Apache Hadoop, Apache HBase, Apache Hive, Apache Flume and Apache Kafka to facilitate improved insight and timely action. […]
Streaming Transactional Data into MapR Streams using Oracle GoldenGate for Big Data
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“Oracle GoldenGate for Big Data 12c product streams transactional data into big data systems in real-time, without impacting the performance of source systems. It streamlines real-time data delivery into most popular big data solutions, including Apache Hadoop, Apache HBase, Apache Hive, Apache Flume and Apache Kafka to facilitate improved insight and timely action.” MapR Streams […]