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Apache Spark Scala and Storm Combo Course | Combo Course

Apache Spark Scala and Storm Combo Course | Combo Course

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Tecklearn’s Apache Spark Scala and Storm Combo Course helps you to master the essential skills of the Apache Spark open-source framework, Scala programming language and open-source computational engine, Apache Storm. This course includes the following Courses: • Apache Spark and Scala Certification • Apache Storm Training This is a Combo Training Course that lets you master real-time data processing using Spark streaming, Spark SQL, Spark RDD and Spark Machine Learning libraries (Spark MLlib), Deployment and development of Apache Storm applications in real world for handling Big Data and implementing various analytical tools for powerful enterprise-grade solutions....

The average salary for Apache Spark developer ranges from approximately $93,486 per year for Developer to $128,313 per year for Data Engineer. – Indeed.com

Global Spark market revenue will grow to $4.2 billion by 2022 with a CAGR of 67% Marketanalysis.com

The average pay of Apache Storm Professional stands at $90,167 P.A - Indeed.com

Curriculum

• What is Scala
• Why Scala for Spark
• Scala in other Frameworks
• Scala REPL
• Basic Scala Operations
• Variable Types in Scala
• Control Structures in Scala
• Loop, Functions and Procedures
• Collections in Scala
• Array Buffer, Map, Tuples, Lists

• Functional Programming
• Higher Order Functions
• Anonymous Functions
• Class in Scala
• Getters and Setters
• Custom Getters and Setters
• Constructors in Scala
• Singletons
• Extending a Class using Method Overriding

• Introduction to Spark
• How Spark overcomes the drawbacks of MapReduce
• Concept of In Memory MapReduce
• Interactive operations on MapReduce
• Understanding Spark Stack
• HDFS Revision and Spark Hadoop YARN
• Overview of Spark and Why it is better than Hadoop
• Deployment of Spark without Hadoop
• Cloudera distribution and Spark history server
[curriculum_content question="Basics of Spark"]
• Spark Installation guide
• Spark configuration and memory management
• Driver Memory Versus Executor Memory
• Working with Spark Shell
• Resilient distributed datasets (RDD)
• Functional programming in Spark and Understanding Architecture of Spark

• Challenges in Existing Computing Methods
• Probable Solution and How RDD Solves the Problem
• What is RDD, It’s Operations, Transformations & Actions Data Loading and Saving Through RDDs
• Key-Value Pair RDDs
• Other Pair RDDs and Two Pair RDDs
• RDD Lineage
• RDD Persistence
• Using RDD Concepts Write a Wordcount Program
• Concept of RDD Partitioning and How It Helps Achieve Parallelization
• Passing Functions to Spark

• Creating a Spark application using Scala or Java
• Deploying a Spark application
• Scala built application
• Creating application using SBT
• Deploying application using Maven
• Web user interface of Spark application
• A real-world example of Spark and configuring of Spark

• Concept of Spark parallel processing
• Overview of Spark partitions
• File Based partitioning of RDDs
• Concept of HDFS and data locality
• Technique of parallel operations
• Comparing coalesce and Repartition and RDD actions

• Why Machine Learning
• What is Machine Learning
• Applications of Machine Learning
• Face Detection: USE CASE
• Machine Learning Techniques
• Introduction to MLlib
• Features of MLlib and MLlib Tools
• Various ML algorithms supported by MLlib

• Why Kafka, what is Kafka and Kafka architecture
• Kafka workflow and Configuring Kafka cluster
• Basic operations and Kafka monitoring tools
• Integrating Apache Flume and Apache Kafka

• Why Streaming is Necessary
• What is Spark Streaming
• Spark Streaming Features
• Spark Streaming Workflow
• Streaming Context and DStreams
• Transformations on DStreams
• Describe Windowed Operators and Why it is Useful
• Important Windowed Operators
• Slice, Window and ReduceByWindow Operators
• Stateful Operators

• Learning about accumulators
• The common performance issues and troubleshooting the performance problems

• Need for Spark SQL
• What is Spark SQL
• Spark SQL Architecture
• SQL Context in Spark SQL
• User Defined Functions
• Data Frames and Datasets
• Interoperating with RDDs
• JSON and Parquet File Formats
• Loading Data through Different Sources

• Concept of Scheduling and Partitioning in Spark
• Hash partition and range partition
• Scheduling applications
• Static partitioning and dynamic sharing
• Concept of Fair scheduling
• Map partition with index and Zip
• High Availability
• Single-node Recovery with Local File System and High Order Functions

• Apache Storm
• Apache Storm Data Model

• Apache Storm Architecture
• Hadoop distributed computing
• Apache Storm features

• Pre-requisites for Installation
• Installation and Configuration

• Zookeeper
• Storm UI

Training Option

Self-Paced Learning

₹13,999.00

Learn at your convenient time and pace
Gain on-the-job kind of learning experience through high quality Videos built by industry experts.
Interactive Sessions as good as Classroom experience.
Learn end to end course content that is similar to instructor led virtual/classroom training.
Cost Effective as well as Convenient.

ENROLL NOW

Blended Learning

Everything in Self-Paced Plus
Learn in an instructor-led online training class

Corporate Training

Customized to your team’s needs

Customized learning delivery model (self-paced and/or instructor-led)
Flexible pricing options
Enterprise grade learning management system (LMS)
Enterprise dashboards for individuals and teams
24×7 learner assistance and support

Course Description

Apache Spark and Scala Certification

This Splunk SIEM (Security Information and Event Management) training is an industry-designed course for gaining expertise in Splunk Enterprise Security (ES). As part of this training, you will learn how to deploy Splunk SIEM for investigating, monitoring and deploying security solutions. You will get an in-depth knowledge of these concepts and will be able to work on related demos. Upon completion of this online training, you will hold a solid understanding and hands-on experience with Splunk SIEM.

Benefits

The average salary for an Information Security Analyst with Splunk skills is $105,000. – PayScale.com

Splunk SIEM combines patterns, machine learning and threat intelligence to verify all instances within a network. It offers greater scalability to help with network monitoring and works easily with other tools to improve defences.

What you will Learn in this Course?

Introduction to Splunk Enterprise Security
Investigation and monitoring events
Security intelligence and forensics
Risk Analysis and Network Analysis
Web Intelligence
About the Splunk Enterprise Security Framework
Threat Intelligence and User Intelligence
Creating and tuning correlation searches
Deploying Splunk Security Framework on AWS

Apache Storm Training

This Apache Storm training will give you a working knowledge of the open-source computational engine, Apache Storm. You will be able to do distributed real-time data processing and come up with valuable insights. You will learn about the deployment and development of Apache Storm applications in real world for handling Big Data and implementing various analytical tools for powerful enterprise-grade solutions. Upon completion of this online training, you will hold a solid understanding and hands-on experience with Apache Storm.

Benefits

The average pay of Apache Storm Professional stands at $90,167 P.A – Indeed.com

Groupon, Twitter and many companies using Apache Storm for business purposes like real-time analytics and micro-batch processing.

Apache Storm is a free and open source, distributed real-time computation system for processing fast, large streams of data

What you will Learn in this Course?

Introduction to Apache Storm
Architecture of Storm
Installation and Configuration
Storm UI
·Storm Topology Patterns

Self-Paced Online Video

• Self-paced Videos: 36 Hrs
• Exercises & Project Work: 60 Hrs
• A 360-degree learning approach that you can adapt to your learning style

1 Year Unlimited Access

You get 1 Year unlimited access to LMS where presentations, quizzes, installation guide & class recordings are there.

24 x 7 Expert Support

We have 24x7 online support team to resolve all your technical queries, through ticket-based tracking system

Certification

Successfully complete your course and Tecklearn will provide you Course Completion Certificate.

Real-life Case Studies

Live project based on any of the selected use cases, involving implementation of the various Spark, Scala and Storm concepts.

Learn at your Convenience

• Certification and Job Assistance
• Flexible Schedule

Reviews

Apache Spark Scala and Storm Combo Course

E N Dattathreya

Great effort by Tecklearn. I really appreciate it. I didn't get bored of any session like offline trainings, instead it was very interesting... Read More

Apache Spark Scala and Storm Combo Course

Radinesh

The course content prepared by Tecklearn is extremely inline to real time client specifications. Also, kudos to the trainer for the knowledg... Read More

Apache Spark Scala and Storm Combo Course

Saurabh Goyal

Excellent curriculum and learning method online . Also appreciate for quick help and co-ordination with Tecklearn Team . Looking forward for... Read More

Apache Spark Scala and Storm Combo Course

Pradyumna P Umarji

I enrolled for the Storm and Scala Certification Course for Tekclearn . And i have no regrets at all joining tecklearn Great Learning throug... Read More

Apache Spark Scala and Storm Combo Course

Leelavathy Ramesh

It was an amazing learning experience. Tecklearn is very innovative and unique. The simulation tests and self-learning materials are extreme... Read More

Certification

This course is designed for clearing the Apache Spark component of the Cloudera Spark and Hadoop Developer Certification (CCA175) exam and Apache Storm Certification. As part of this training, you will be working on real-time projects and assignments that have immense implications in the real-world industry scenarios, thus helping you fast-track your career effortlessly. Tecklearn’s Course Completion Certificate for the courses included in this combo course will be awarded upon the completion of the course.

Projects

To put your knowledge on into action, you will be required to work on various industry-based projects that discuss significant real-time use cases.
These projects are completely in-line with the modules mentioned in the curriculum and help you to clear the certification exam.

Click to Zoom

FAQ Content

You will never miss a lecture at Tecklearn. Tecklearn provides recordings of each class so you can review them as needed before the next session.

Your access to the Support Team is for lifetime and will be available 24/7. The team will help you in resolving queries, during and after the course.

Post-enrolment, the LMS access will be instantly provided to you and will be available for lifetime. You will be able to access the complete set of previous class recordings, PPTs, PDFs, assignments. Moreover, the access to our 24x7 support team will be granted instantly as well. You can start learning right away.

Yes, the access to the course material will be available for lifetime once you have enrolled into the course.

All the instructors at Tecklearn are practitioners from the Industry with minimum 10-15 years of relevant IT experience. Each of them has gone through a rigorous selection process that includes profile screening, technical evaluation, and a training demo before they are certified to train for us. We also ensure that only those trainers with a high alumni rating remain on our faculty.

Learning pedagogy has evolved with the advent of technology. Online training adds convenience and quality to the training module. With our 24x7 support system, our online learners will have someone to help them all the time even after the class ends. This is one of the driving factors to make sure that people achieve their end learning objective. We also provide life-time access of our updated course material to all our learners.

Tecklearn actively provides placement assistance to all learners who have successfully completed the training. We also help you with the job interview and resume preparation part as well.

Apache Spark Scala and Storm Combo Course | Combo Course

Why you take this Combo Training?

Curriculum

Introduction to Scala for Apache

Functional Programming and OOPs Concepts in Scala

Introduction to Spark

Playing with Spark RDDs

Writing and Deploying Spark Applications

Parallel Processing

Machine Learning using Spark MLlib

Integrating Apache Flume and Apache Kafka

Apache Spark Streaming

Improving Spark Performance

DataFrames and Spark SQL

Scheduling and Partitioning in Apache Spark

Introduction to Apache Storm

Architecture of Storm

Installation and Configuration

Storm UI

Storm Topology Patterns

Training Option

Self-Paced Learning

₹18,998.00 ₹13,999.00

Blended Learning

Corporate Training

Course Description

Apache Spark and Scala Certification

Benefits

Apache Storm Training

Benefits

Key Features

Self-Paced Online Video

1 Year Unlimited Access

24 x 7 Expert Support

Certification

Real-life Case Studies

Learn at your Convenience

Reviews

Apache Spark Scala and Storm Combo Course

E N Dattathreya

Apache Spark Scala and Storm Combo Course

Radinesh

Apache Spark Scala and Storm Combo Course

Saurabh Goyal

Apache Spark Scala and Storm Combo Course

Pradyumna P Umarji

Apache Spark Scala and Storm Combo Course

Leelavathy Ramesh

Certification

FAQ Content

What if I miss a class?

What if I have queries after I complete this course?

How soon after Signing up would I get access to the Learning Content?

Is the course material accessible to the students even after the course training is over?

Who are our instructors and how they are selected?

Why should this course online? How is it better than offline training?

Does Tecklearn offer job assistance?

Course Curriculum

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