| |
What you will learn from this book
Set up a fully distributed, highly available HBase cluster and load data into it using the normal client API or your own MapReduce job
Access data in HBase via HBase Shell or Hive using its SQL-like query language
Backup and restore HBase table, along with its data distribution, and move or replicate data between different HBase clusters
Gather metrics then show them in graphs, monitor the cluster`s status, and get notified if thresholds are exceeded
Tune your kernel settings with JVM GC, Hadoop, and HBase configuration to maximize the performance
Discover troubleshooting tools and tips in order to avoid the most commonly-found problems with HBase
Gain optimum performance with data compression, region splits, and by manually managing compaction
Learn advanced configuration and tuning for read and write-heavy clustersISBN:9789350239339
|
| |
Pages : 344
|