Big Data Architecture
Plan your Research & Development and track all outcomes
Big Data Architecture
저자: Thanachart Numnonda
1. Data Ingestion
1.1. Sqoop
1.2. Flume
1.3. KafKa
2. Hadoop Tools
2.1. Cluster Management
2.2. Search
3. Storage
3.1. Hadoop HDFS
3.2. NoSQL
3.2.1. HBase
3.3. RDBMS
3.4. Object Storage
4. Processing
4.1. Batch
4.1.1. MapReduce
4.1.2. Hive
4.1.3. Pig
4.2. SQL
4.3. RealTime
4.3.1. Impala
4.3.2. Spark
4.4. Machine Learning
4.4.1. Mahout
4.4.2. Spark