OEM Apache Spark Advanced Topics Training

€180,29 €149,00 Incl. tax Excl. tax

In stock

Order this unique Training E-Learning course Apache Spark Advanced Topics online, 1 year 24/7 access to rich interactive videos and tests. Read more.

Bulk discount

No discount

1 Piece

€180,29 €149,00

2% Discount

2 Pieces

€176,68 €146,02 / Piece

3% Discount

3 Pieces

€174,88 €144,53 / Piece

7% Discount

5 Pieces

€167,67 €138,57 / Piece

10% Discount

10 Pieces

€162,26 €134,10 / Piece

15% Discount

25 Pieces

€153,25 €126,65 / Piece

22% Discount

50 Pieces

€140,63 €116,22 / Piece

30% Discount

100 Pieces

€126,20 €104,30 / Piece

50% Discount

200 Pieces

€90,15 €74,50 / Piece

Make a choice

Officieel erkend testcentrum
Online of fysiek examen afnemen

Bekroonde e-learning
Inclusief proefexamens en 24/7 begeleiding

ISO 9001 & 27001 werkwijze
2.500+ organisaties gingen u voor

Maatwerk & gratis nulmeting
Altijd op het juiste niveau gestart

Apache Spark Advanced Topics E-Learning

Order this unique E-Learning course today!

1 year 24/7 access to rich interactive videos with voice support.
Includes progress monitoring via reporting tests to immediately test your knowledge.

Demo Apache Spark Advanced Topics Training

Why choose this course?

Apache Spark is a powerful open-source framework that provides advanced big data analytics capabilities combined with speed and ease of use. This course focuses on the advanced features of Spark, allowing you to:

Learn to understand and apply Spark Core better.
Spark Streaming mastered for real-time data analysis.
Used Spark SQL to manage and query data at scale.
Gain knowledge of MLlib for machine learning, GraphX for graph computation, and SparkR for data science.

This training combines theory and practice to take your skills to the next level, ideal for professionals who want to tackle complex big data challenges.

Who should participate?

This course is perfect for:

Big data analysts who want to expand their knowledge with advanced Spark capabilities.
Data scientists who want to integrate machine learning and graph applications.
Software developers who want to build optimized big data solutions.
IT professionals who need a deeper understanding of Spark functionality.

Course content

Spark RDDs

Course: 1 Hour, 13 Minutes

Course Introduction
Review of Spark Stack
Defining Lazy Evaluation
Examining RDD Lineage
Pre-partitioning RDDs
Storing RDDs in Serialized Form
Performing Numeric Operations
Creating Custom Accumulators
Optimizing Broadcasts
Piping to External Applications
Tuning Garbage Collection
Performing Batch Importing
Determining Memory Consumption
Tuning Data Structures
Minimizing Memory Usage of Reduce Tasks
Setting the Levels of Parallelism

Data Frames and Spark SQL

Course: 43 Minutes

Creating DataFrames
Interoperating with RDDs
Examining the Load and Save Functions
Reading and Writing Parquet Files
Using JSON Dataset as a DataFrame
Reading and Writing Data in Hive Tables
Reading and Writing Data Using JDBC
Running Thrift JDBC/ODBC Server
Practice: Tuning Spark

Course: 9 Minutes

Exercise: Tuning Spark

Privacy and Cookie PolicyTerms of Use

Streaming Analytics

Course: 54 Minutes

Course Introduction
Examining Discretized Streams
Ingesting TCP Socket Input Streams
Reading File Input Streams
Receiving Akka Actor Input Streams
Consuming Kafka Input Streams
Ingesting Flume Input Streams
Setting Up Kinesis Input Streams
Configuring Twitter Input Streams
Implementing Custom Input Streams
Describing Receiver Reliability

Transformations on DStreams

Course: 1 Hour, 19 Minutes

Using UpdateStateByKey Operations
Performing Transform Operations
Performing Window Operations
Performing Join Operations
Using Output Operations on DStreams
Using Data Frames and SQL Operations
Using Learning Algorithms with MLlib
Persisting Stream Data in Memory
Enabling and Configuring Checkpointing
Deploying Applications
Monitoring Applications
Reducing Batch Processing Times

Performance Tuning

Course: 19 Minutes

Setting Batch Intervals
Tuning Memory Usage
Examining the Semantics of Fault Tolerance

Practice: Transformations on Dstreams

Course: 6 Minutes

Exercise: Perform Transformations on DStreams

Machine Learning with MLlib

Course: 1 Hour, 12 Minutes

Course Introduction
Describing Data Types
Examining Basic Statistics
Exploring Linear SVMs
Performing Logistic Regression
Using Naive Bayes
Creating Decision Trees
Using Collaborative Filtering with ALS
Clustering with K-means
Clustering with Latent Dirichlet Allocation (LDA)
Analyzing with Frequent Pattern Mining

GraphX

Course: 57 Minutes

Examining the Property Graph
Exploring the Graph Operators
Performing Analytics with Neighborhood Aggregation
Messaging with Pregel API
Building Graphs
Examining Vertex and Edge RDDs
Optimizing Representation Through Partitioning
Measuring Vertices with PageRank

R and Spark

Course: 37 Minutes

Installing SparkR
Running SparkR
Using Existing R Packages
Exposing RDDs as Distributed Lists
Interoperating with DataFrames
Using Parquet Files
Running on a Cluster

Practice: Use MLlib

Course: 10 Minutes

Exercise: Use MLlib

Get started today!

Learn advanced techniques to effectively tackle big data challenges.
Gain access to a comprehensive interactive learning experience.
Test and track your progress with reports and exercises.

Order your course now and become an expert in Apache Spark Advanced Topics!

OEM Apache Spark Advanced Topics Training