Bộ sách luyện thi ETS 2023 LC&RC
199,000₫
299,000₫
Sách keo gáy, Bìa mềm
Thể loại:Computers - Networking
Năm:2012
Ngôn ngữ:english
Trang:332
Master HBase configuration and administration for optimum database
performance Move large amounts of data into HBase and learn how to
manage it efficiently Set up HBase on the cloud, get it ready for
production, and run it smoothly with high performance Maximize the
ability of HBase with the Hadoop eco-system including HDFS, MapReduce,
Zookeeper, and Hive In Detail As an Open Source distributed big data
store, HBase scales to billions of rows, with millions of columns and
sits on top of the clusters of commodity machines. If you are looking
for a way to store and access a huge amount of data in real-time, then
look no further than HBase. HBase Administration Cookbook provides
practical examples and simple step-by-step instructions for you to
administrate HBase with ease. The recipes cover a wide range of
processes for managing a fully distributed, highly available HBase
cluster on the cloud. Working with such a huge amount of data means that
an organized and manageable process is key and this book will help you
to achieve that. The recipes in this practical cookbook start from
setting up a fully distributed HBase cluster and moving data into it.
You will learn how to use all of the tools for day-to-day administration
tasks as well as for efficiently managing and monitoring the cluster to
achieve the best performance possible. Understanding the relationship
between Hadoop and HBase will allow you to get the best out of HBase so
the book will show you how to set up Hadoop clusters, configure Hadoop
to cooperate with HBase, and tune its performance. 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 clusters Approach As part of Packt's cookbook series, each
recipe offers a practical, step-by-step solution to common problems
found in HBase administration. Who this book is written for This book is
for HBase administrators, developers, and will even help Hadoop
administrators. You are not required to have HBase experience, but are
expected to have a basic understanding of Hadoop and MapReduce.
