Initio, Hadoop, ETL, Hive, SQL, Oracle, ExpressIT, and Unix
· Extensive Hands-on Hadoop Framework
data warehousing principles and experience with Hadoop components will be invaluable as we strive to optimize non-relational.
intelligence, and analytical tool sets (e.g., Cloudera/Hadoop, Informatica, SAP HANA, SAP Business Objects, etc intelligence, or analytical tool sets (e.g., Cloudera/Hadoop, Informatica, SAP HANA, SAP Business Objects, etc
environments including Unix, Docker, Kubernetes, Hadoop, Kafka, Nifi or Spark or Cloud-based big data processing Analytics Experience of Big Data technologies such as Hadoop, Spark and Hive At least 5 years' advanced experience
Understanding of several Big Data technologies like Hadoop, MapReduce and Spark as well as event processing teams. An understanding and hands on experience on Hadoop/Spark based distributed storage and computing frameworks
Understanding of several Big Data technologies like Hadoop, MapReduce and Spark as well as event processing teams. An understanding and hands on experience on Hadoop/Spark based distributed storage and computing frameworks
systems using distributed frameworks like Apache Hadoop. Collaborate with data analysts to understand data PySpark, Scala Big Data Processing Frameworks: Apache Hadoop, Spark, Flink Distributed Storage: HDFS, Cloud
DB
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Integration experience, Elastic Search, Kafka (Hadoop), SOAP and REST, etc. Please note this is a 12-Month Platforms experience like Elastic Search, Kafka (Hadoop). Messaging protocols and API technologies experience