Hadoop family series
Hadoop family series of articles , mainly introduce Hadoop family products, commonly used projects include Hadoop, Hive, Pig, HBase, Sqoop, Mahout, Zookeeper, Avro, Ambari, Chukwa, newly added projects include, YARN, Hcatalog, Oozie, Cassandra, Hama , Whirr, Flume, Bigtop, Crunch, Hue, etc.
Since 2011, China has entered an era of surging big data, and family software represented by Hadoop has occupied a vast area of big data processing. Open source industry and manufacturers, all data software, all move closer to Hadoop. Hadoop has also changed from a niche field to a standard for big data development. On the basis of the original Hadoop technology, the Hadoop family of products has emerged, and the concept of "big data" has been continuously innovated and technological progress has been introduced.
As developers in the IT industry, we must also keep up with the rhythm, seize the opportunity, and rise with Hadoop!
Learning Roadmap
Hadoop family learning roadmap must read at the beginning
programming practice
Hadoop historical version installation
Building a Hadoop project with Maven
Building the Mahout project with Maven
Mahout Recommendation Algorithm API Detailed Explanation
Matrix Multiplication with MapReduce
Dissecting the Mahout recommendation engine from the source code
Mahout step-by-step program development for item-based collaborative filtering ItemCF
Mahout Step-by-Step Program Development Clustering Kmeans
Parallel Implementation of PageRank Algorithm
case analysis
Massive Web Log Analysis Extracting KPI Statistical Indicators with Hadoop [Video Purchase] [Try Watch]
Building a Movie Recommender System with Hadoop [Video Buy] [Try Watch]
Building a Job Recommendation Engine with Mahout [Video Buy] [Try Watch]
Mahout Builds a Book Recommendation System [Video Buy] [Try Watch]
PeopleRank Discovers Individual Value from Social Networks [Video Buy] [Try Watch]
An integration case of a step-by-step queue system based on Zookeeper [Video Purchase] [Try Watch]