01 Introduction to the Hadoop Big Data Platform
02 HDFS – Distributed File System
03 Distributed Computing Framework Based on MapReduce
04 YARN Resource Scheduling Implementation Principle
05 Spark – An In-Memory Distributed Computing Engine
06 HBase – Distributed NoSQL Database
07 Elasticsearch – Distributed Search Engine
08 Hive – Distributed Data Warehouse
09 ClickHouse – A Column-based OLAP Data Warehouse
10 Sqoop Data Conversion
11 Flink – Stream and Batch Processing in a Single Engine
12 Flume – Massive Log Aggregation
13 Kafka Distributed Publish-Subscribe Messaging System
14 Distributed coordination service of the ZooKeeper cluster
01 NoSQL Development History and Trend
02 CAP Theory
03 Classification and Representative Works of NoSQL
04 Introduction to Redis
05 Introduction to MongoDB
06 Introduction to Cassandra
07 Introduction to Neo4J
The objectif of the course is to learn the basic concepts and technical principles of big data.
Also it will allow us to understand the concept and ecosystem architecture of big data. Be familiar with typical applications of big data in telecom services. Understand the principles of Hadoop core components (HDFS, MapReduce, and Spark). Understand the basic NoSQL and typical products.
All employees in the ICT industry
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