Bộ sách luyện thi ETS 2023 LC&RC
199,000₫
299,000₫
Sách keo gáy, Bìa mềm
Thể loại:Computers - Algorithms and Data Structures
Computers - Programming
Năm:2015
In lần thứ:1
ngôn ngữ:english
Trang:274
Data in all domains is getting bigger. How can
you work with it efficiently? This book introduces Apache Spark, the
open source cluster computing system that makes data analytics fast to
write and fast to run. With Spark, you can tackle big datasets quickly
through simple APIs in Python, Java, and Scala.
Written by the
developers of Spark, this book will have data scientists and engineers
up and running in no time. You’ll learn how to express parallel jobs
with just a few lines of code, and cover applications from simple batch
jobs to stream processing and machine learning.
Quickly dive into Spark capabilities such as distributed datasets, in-memory caching, and the interactive shell
Leverage Spark’s powerful built-in libraries, including Spark SQL, Spark Streaming, and MLlib
Use one programming paradigm instead of mixing and matching tools like Hive, Hadoop, Mahout, and Storm
Learn how to deploy interactive, batch, and streaming applications
Connect to data sources including HDFS, Hive, JSON, and S3
Master advanced topics like data partitioning and shared variables
