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Apache Spark Accessing Data with Spark E-learning
Accessing Data with Spark E-learning
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Accessing Data with Spark E-learning

Brand: Apache Spark
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€159,00 Excl. tax
€192,39 Incl. tax
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Information

Accessing Data with Spark Elearning

Order this amazing, award-winning Accessing Data with Spark Intermediate e-learning course online, 1 year 24/7 access to extensive interactive videos, speeches, hands-on tasks and progress monitoring. After the course you will receive a certificate of attendance.

Content

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 2
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

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Specifications
General properties
Availabilty: 5 hours
Language: English
Certificate of participation: Yes
Online access: 90 days
Progress monitoring: Yes
Award Winning E-learning: Yes
Suitable for mobile: Yes
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