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

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

Apache Spark ,Apache Akka , Apache Flink ,Hadoop
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Big Data Architect

Spark,Flink,Hadoop, etc
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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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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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Data Scientist

Apache Hadoop, Cloudera Hadoop Distribution, Hortonworks Development Platfrom, MapR hadoop stack
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Capacity to store and process large measures of any information, rapidly. With information volumes and assortments always expanding, particularly from web-based life and the Internet of Things (IoT), that...

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1. HDFS (Hadoop Distributed File System): Makes distributed filesystem look like a regular filesystem. Breaks files down into blocks. Distributes blocks to different nodes in the cluster based on...

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