Apache Spark Advanced Topics Training
Apache Spark Advanced Topics Training
Order this unique Training E-Learning course Apache Spark Advanced Topics online, 1 year 24/7 access to rich interactive videos and tests.
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- Apache Spark
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Apache Spark Advanced Topics E-Learning
Order this unique E-Learning Apache Spark Advanced Topics course online, 1 year 24/7 access to rich interactive videos, voice, progress monitoring through reports tests.
Explore Apache Spark, the open-source cluster computing framework that provides a fault-tolerant
programming interface for clusters.
Apache Spark is an open source, big data processing framework built around speed, ease of use, and sophisticated analytics. In this learning path, you will learn about the more advanced features of Spark Core, Spark Streaming, Spark SQL, MLlib, GraphX, and SparkR.
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
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
| Language | English |
|---|---|
| Qualifications of the Instructor | Certified |
| Course Format and Length | Teaching videos with subtitles, interactive elements and assignments and tests |
| Lesson duration | 7:42 Hours |
| Progress monitoring | Yes |
| Access to Material | 365 days |
| Technical Requirements | Computer or mobile device, Stable internet connections Web browsersuch as Chrome, Firefox, Safari or Edge. |
| Support or Assistance | Helpdesk and online knowledge base 24/7 |
| Certification | Certificate of participation in PDF format |
| Price and costs | Course price at no extra cost |
| Cancellation policy and money-back guarantee | We assess this on a case-by-case basis |
| Award Winning E-learning | Yes |
| Tip! | Provide a quiet learning environment, time and motivation, audio equipment such as headphones or speakers for audio, account information such as login details to access the e-learning platform. |
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