دوره رایگان "Hadoop Fundamentals" از مجموعه آموزشی Lynda منتشر شد.
مشخصات دوره :
نام دوره : Hadoop Fundamentals
گروه اصلی : دوره های آموزشی Lynda
مدت زمان دوره : 4 ساعت و 47 دقیقه
قیمت دوره : رایگان
حداکثر زمان استفاده از دوره : نامحدود
سرفصل مطالب دوره :
00 - Introduction
01 - Welcome
02 - What you should know before watching this course
03 - Using the exercise files
01 - Why Move Away from Relational Databases
01 - Understanding the limits of relational database management systems
02 - Introducing CAP (consistency, availability, partitioning)
03 - Understanding big data
02 - What Is Hadoop
01 - Introducing Hadoop
02 - Understanding the difference between HBase and Hadoop
03 - Exploring the future of Hadoop
03 - Understanding Hadoop Core Components
01 - Understanding Java virtual machines (JVMs)
02 - Exploring Hadoop Distributed File System (HDFS) and other file systems
03 - Introducing Hadoop cluster components
04 - Exploring the Apache and Cloudera Hadoop distributions
05 - Exploring the Hortonworks and MapR Hadoop distributions
06 - Exploring Cloudera Hadoop via Cloudera Live
07 - Understanding Hadoop versions
08 - Using Amazon Web Services (AWS) and Microsoft cloud-hosted Hadoop
04 - Setting Up the Hadoop Development Environment
01 - Understanding the parts and pieces
02 - Hosting Hadoop locally with the Cloudera developer distribution
03 - Setting up the Cloudera Hadoop developer virtual machine (VM)
04 - Adding Hadoop libraries to your test environment
05 - Picking your programming language and IDE
06 - Exploring the Cloudera VM IDE
05 - Understanding MapReduce 1.0
01 - Understanding MapReduce 1.0
02 - Exploring the components of a MapReduce job
03 - Working with the Hadoop file system
04 - Using the console to run a MapReduce job
05 - Reviewing the code for a MapReduce WordCount job
06 - Running and tracking Hadoop jobs
06 - Tuning MapReduce
01 - Tuning by physical methods
02 - Tuning a mapper
03 - Tuning a reducer
04 - Using a cache for lookups
07 - Understanding MapReduce 2.0-YARN
01 - Understanding MapReduce 2.0
02 - Coding a basic WordCount in Java using MapReduce 2.0
03 - Exploring advanced WordCount in Java using MapReduce 2.0
08 - Understanding Hive
01 - Introducing Hive and HBase
02 - Understanding Hive
03 - Revisiting WordCount using Hive
04 - Understanding more about HQL query optimization
05 - Exploring Hive tools in the Cloudera distribution and the Hue web console
09 - Understanding Pig
01 - Introducing Pig
02 - Understanding Pig
03 - Exploring use cases for Pig
04 - Exploring Pig tools in the Cloudera distribution
10 - Understanding Workflows and Connectors
01 - Introducing Oozie
02 - Building a workflow with Oozie
03 - Introducing Sqoop
04 - Importing data with Sqoop
05 - Introducing Flume
06 - Introducing ZooKeeper
07 - Using ZooKeeper to coordinate workflows
11 - Other Hadoop Libraries
01 - Introducing Impala
02 - Using Impala
03 - Introducing Mahout
04 - Introducing Storm
12 - Understanding Spark
01 - Introducing Apache Spark
02 - Understanding the Hive landscape
13 - Visualizing Hadoop Output with Tools
01 - Using Tableau, Excel, and traditional tools
02 - Using D3, BigML, and new tools
14 - Conclusion
01 - Next steps