Real-Time Kafka / MapR Streams Data Ingestion into HBase / MapR-DB via PySpark
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!
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
“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
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
“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 […]