Accessing Data with Spark E-Learning Training

Bestel deze geweldige, bekroonde Accessing Data with Spark E-Learning cursus online, 1 jaar 24/7 toegang tot uitgebreide interactieve video's, toespraken, praktische taken en voortgangsbewaking. Na de cursus ontvang je een certificaat van deelname.

Ontdek Apache Spark, het open-source cluster computing-framework dat een fouttolerante biedt
programmeerinterface voor clusters.

Cursusinhoud

Accessing Data with Spark: An Introduction to Spark

Course: 1 Hour, 7 Minutes

• Course Overview
• Introduction to Spark and Hadoop
• Resilient Distributed Datasets (RDDs)
• RDD Operations
• Spark DataFrames
• Spark Architecture
• Spark Installation
• Working with RDDs
• Creating DataFrames from RDDs
• Contents of a DataFrame
• The SQLContext
• The map() Function of an RDD
• Accessing the Contents of a DataFrame
• DataFrames in Spark and Pandas
• Exercise: Working with Spark

Accessing Data with Spark: Data Analysis Using the Spark DataFrame API

Course: 1 Hour, 12 Minutes

• Course Overview
• Performance Improvements in Spark
• Broadcast Variables and Accumulators
• Loading Data into a DataFrame
• Sampling the Contents of a DataFrame
• Grouping and Aggregations
• Visualizing Data in a DataFrame
• Trimming and Cleaning Data
• User-Defined Functions and DataFrames
• Combining Filters, Aggregations, and Sorting
• Using Broadcast Variables
• Using Accumulators
• Exporting DataFrame Contents
• Custom Accumulators
• Join Operations
• Exercise: Data Analysis Using the DataFrame API

Accessing Data with Spark: Data Analysis using Spark SQL

Course: 55 Minutes

• Course Overview
• The Spark Catalyst Optimizer
• Introduction to Spark SQL
• Preparing Data for Analysis
• Running SQL Queries
• Inferred and Explicit Schemas
• Windowing in Spark
• Applying Window Functions
• Exercise: Data Analysis Using Spark SQL