- Big Data Analytics
- Venkat Ankam
- 164字
- 2021-08-20 10:32:20
What you need for this book
Practical exercises in this book are demonstrated on virtual machines (VM) from Cloudera, Hortonworks, MapR, or prebuilt Spark for Hadoop for getting started easily. The same exercises can be run on a bigger cluster as well.
Prerequisites for using virtual machines on your laptop:
- RAM: 8 GB and above
- CPU: At least two virtual CPUs
- The latest VMWare player or Oracle VirtualBox must be installed for Windows or Linux OS
- Latest Oracle VirtualBox, or VMWare Fusion for Mac
- Virtualization enabled in BIOS
- Browser: Chrome 25+, IE 9+, Safari 6+, or Firefox 18+ recommended (HDP Sandbox will not run on IE 10)
- Putty
- WinScP
The Python and Scala programming languages are used in chapters, with more focus on Python. It is assumed that readers have a basic programming background in Java, Scala, Python, SQL, or R, with basic Linux experience. Working experience within Big Data environments on Hadoop platforms would provide a quick jump start for building Spark applications.
推薦閱讀
- Web交互界面設(shè)計(jì)與制作(微課版)
- MATLAB應(yīng)用與實(shí)驗(yàn)教程
- Object-Oriented JavaScript(Second Edition)
- PHP+MySQL網(wǎng)站開(kāi)發(fā)項(xiàng)目式教程
- Linux:Embedded Development
- PHP 7+MySQL 8動(dòng)態(tài)網(wǎng)站開(kāi)發(fā)從入門到精通(視頻教學(xué)版)
- Java Web開(kāi)發(fā)詳解
- Learning AngularJS for .NET Developers
- 打開(kāi)Go語(yǔ)言之門:入門、實(shí)戰(zhàn)與進(jìn)階
- OpenCV with Python By Example
- Flask Web開(kāi)發(fā):基于Python的Web應(yīng)用開(kāi)發(fā)實(shí)戰(zhàn)(第2版)
- Mastering Apache Camel
- Python全棧開(kāi)發(fā):基礎(chǔ)入門
- Mastering ASP.NET Core 2.0
- 零基礎(chǔ)學(xué)SQL(升級(jí)版)