Key technologies and tools used in Big Data engineering include Hadoop, Apache Spark, Kafka, Hive, HBase, Flink. These enable storage, processing, and analysis of large data volumes. Additionally, tools like Airflow, NiFi, and Oozie handle workflow management, while programming languages like Python, Java, Scala, and SQL are utilized for data manipulation and querying.
If you are interested to get into this field then check out this video about how
Abhishek became a Big Data Engineer just after completing Intellipaat’s Spark Master Course.
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