Big Data Stack
**Big Data Stack**
What is Big Data Stack?
Big Data Stack refers to the collection of technologies used to handle and process large volumes of data that are too complex for traditional data processing applications. It typically includes technologies for data ingestion (e.g., Apache Kafka, Apache Flume), data storage (e.g., Hadoop Distributed File System (HDFS), cloud storage), data processing (e.g., Apache Spark, Apache Hadoop MapReduce), data warehousing (e.g., Apache Hive, Apache Impala), and data visualization/analytics (e.g., Tableau, Apache Zeppelin). These tools are commonly used to extract insights, identify trends, and make data-driven decisions.
What other technologies are related to Big Data Stack?
Big Data Stack Complementary Technologies
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