Online | Self-Paced | Corporate
Tekslate’s Apache Spark training is designed to help you develop your skills and expertise in working with Big Data Hadoop System. It will enable you to gain in-depth knowledge on Apache Spark, and Scala programming language including Spark Streaming, Spark RDD, Spark SQL, GraphX programming, Spark Shell Scripting, etc., through obtaining hands-on experience by working on real-time projects under the guidance of certified trainer during training.
A complete index of
job-ready skills curated
to meet the industrial need.
What is Big Data?
Big Data Customer Scenarios
Limitations and Solutions of Existing Data Analytics Architecture with Uber Use Case
How Hadoop Solves the Big Data Problem?
What is Hadoop?
Hadoop’s Key Characteristics
Hadoop Ecosystem and HDFS
Hadoop Core Components
Rack Awareness and Block Replication
YARN and its Advantage
Hadoop Cluster and its Architecture
Hadoop: Different Cluster Modes
Big Data Analytics with Batch & Real-time Processing
Why Apache Spark is needed?
What is Apache Spark?
How Apache Spark differs from other frameworks?
What is Scala?
Why Scala for Apache Spark?
Scala in other Frameworks
Introduction to Scala REPL
Basic Scala Operations
Variable Types in Scala
Control Structures in Scala
For each loop, Functions and Procedures
Collections in Scala- Array
ArrayBuffer, Map, Tuples, Lists, and more
Apache Spark at Yahoo!
Higher Order Functions
Class in Scala
Getters and Setters
Custom Getters and Setters
Properties with only Getters
Auxiliary Constructor and Primary Constructor
Extending a Class
Traits as Interfaces and Layered Traits
Apache Spark’s Place in the Hadoop Ecosystem
Apache Spark Components & its Architecture
Apache Spark Deployment Modes
Introduction to Apache Spark Shell
Writing your first Apache Spark Job Using SBT
Submitting Apache Spark Job
Apache Spark Web UI
Data Ingestion using Sqoop
Challenges in Existing Computing Methods
Probable Solution & How RDD Solves the Problem
What is RDD, Its Operations, Transformations & Actions
Data Loading and Saving Through RDDs
Key-Value Pair RDDs
Other Pair RDDs, Two Pair RDDs
WordCount Program Using RDD Concepts
RDD Partitioning & How It Helps Achieve Parallelization
Passing Functions to Apache Spark
Need for Apache Spark SQL
What is Apache Spark SQL?
Apache Spark SQL Architecture
SQL Context in Apache Spark SQL
User Defined Functions
Data Frames & Datasets
Interoperating with RDDs
JSON and Parquet File Formats
Loading Data through Different Sources
Apache Spark – Hive Integration
Why Machine Learning?
What is Machine Learning?
Where Machine Learning is Used?
Face Detection: USE CASE
Different Types of Machine Learning Techniques
Introduction to MLlib
Features of MLlib and MLlib Tools
Various ML algorithms supported by MLlib
Supervised Learning - Linear Regression, Logistic Regression, Decision Tree, Random Forest
Unsupervised Learning - K-Means Clustering & How It Works with MLlib
Analysis of US Election Data using MLlib (K-Means)
Need for Kafka
What is Kafka?
Core Concepts of Kafka
Where is Kafka Used?
Understanding the Components of Kafka Cluster
Configuring Kafka Cluster
Kafka Producer and Consumer Java API
The need of Apache Flume
What is Apache Flume?
Basic Flume Architecture
Integrating Apache Flume and Apache Kafka
Drawbacks in Existing Computing Methods
Why Streaming is Necessary?
What is Apache Spark Streaming?
Apache Spark Streaming Features
Apache Spark Streaming Workflow
How Uber Uses Streaming Data
Streaming Context & DStreams
Transformations on DStreams
Describe Windowed Operators and Why it is Useful
Important Windowed Operators
Slice, Window and ReduceByWindow Operators
Apache Spark Streaming: Data Sources
Streaming Data Source Overview
Apache Flume and Apache Kafka Data Sources
Example: Using a Kafka Direct Data Source
Perform Twitter Sentimental Analysis Using Apache Spark Streaming
We have made a tailored curriculum covering the latest industry-ready concepts to serve every individual’s learning desires.
After the successful completion of Apache Spark training at Tekslate, the participant will be able to
Gain knowledge of Apache Spark and Scala Programming implementation.
Gain comprehensive knowledge of various tools that fall in Spark Ecosystem like Spark SQL, Spark MlLib, Sqoop, Kafka, Flume and Spark Streaming.
Write Spark applications using Scala.
Understand RDD, its Operations, Transformations & Actions along with the implementation of Spark algorithms.
Gain knowledge on Scala classes concept and execution patterns.
Understand data ingestion using Sqoop.
Perform SQL queries using Spark SQL.
Use Kafka to produce and consume messages.
Top companies like Microsoft, Amazon, IBM, etc., are incorporating Apache Spark in their deployments.
There is a high market demand for certified Apache Spark developers and high salary packages are being offered to them.
The average pay of a Certified Apache Spark developer stands at 105,700 USD per annum.
The following job roles will get benefited from learning this course:
IT developers and testers
BI and reporting professionals
Professionals who want to enhance their skills in Big Data analytics.
As such, there are no prerequisites for learning Apache Spark course. Anyone who is interested in learning this course can join this training.
We will provide two real-time projects under the guidance of a professional trainer, who will explain you on how to acquire in-depth knowledge on all the concepts involved in these projects.
We got solutions for everyone looking for an AWS Architect course. Opt in for your convenient upgrade option, and we will guide you through.
|Additional tips from the trainer|
24 Jan 2022, 07:00 AM IST
31 Jan 2022, 07:00 AM IST
|Weekdays & Working Hours|
|Accessible through LMS|
|At your convenience|
Schedules Doesn't Suit You ?
Our Team can set up a batch at your convinient time.
Customized training options
Tailored curriculum to fit your project needs.
Practical exposure is assured.
We have got everything covered for any IT upgrade for your organization. We are one click away.
Have questions? We’ve got the answers. Get the details on how you can grow in this course.
Our trainers are well experienced professionals and certified in working with front-end development technologies.
We will record all the Live sessions you go through, and we will send the recording of the class you missed.
For practical execution, our trainer will provide server access to the student.
See if this course is a fit for you by joining us for an online info session. You’ll meet our team, get an overview of the curriculum and course objectives, and learn about the benefits of being a student at Tekslate