What are some of the big data processing frameworks one should know about?

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Amit Raj

Technical Lead & Archiect - Azure & Databricks, Spark,Kafka,Snowflake,Scala,Pyspark,AWS Cloud,NoSQL

Apache Spark ,Apache Akka , Apache Flink ,Hadoop
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First up is the all-time classic, and one of the top frameworks in use today. So prevalent is it, that it has almost become synonymous with Big Data. But you already know about Hadoop, and MapReduce, and its ecosystem of tools and technologies including Pig, and Hive, and Flume, and HDFS. And all the...
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First up is the all-time classic, and one of the top frameworks in use today. So prevalent is it, that it has almost become synonymous with Big Data. But you already know about Hadoop, and MapReduce, and its ecosystem of tools and technologies including Pig, and Hive, and Flume, and HDFS. And all the others. Hadoop was first out of the gate, and enjoyed (and still does enjoy) widespread adoption in industry. read less
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Big Data Architect

Spark,Flink,Hadoop, etc
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Data Scientist

Apache Hadoop, Cloudera Hadoop Distribution, Hortonworks Development Platfrom, MapR hadoop stack
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Trainer

Currently Spark is essential. There are three modules Spark SQL, Spark Streaming and Spark ML. Would recommend doing few projects in Spark SQL and Spark Streaming. Spark supports Scala, Python and Java.
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