Apache Spark Training in Chennai

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We are the top Apache Spark Training Institute in Chennai provide top Apache Spark Course in Chennai. Best Apache Spark Training in Chennai open-source framework and Scala programming language, and learn how to analyze real-time data using Spark Streaming, Spark SQL, Spark RDD, and Spark Machine Learning libraries (Spark MLlib) during the Apache Spark course in Chennai. Learn Scala programming with practical projects under the direction of Apache Spark Experts, and get the Cloudera Certification, including Spark Streaming, Spark SQL, machine learning programming, GraphX programming, and Shell Scripting Spark advance your career as a Certified Apache Spark Developer.

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Course crafted and taught LIVE by industry experts.

  • Cognizant
  • Deloitte
  • Freshwork
  • IBM
  • Hexaware Technologies
  • Infosys
  • Intel
  • TCS
  • Wipro

Apache Spark Key Highlights

Real-Time Experts

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Live Project

Certified Professional

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Overview of Apache Spark Course in Chennai

Apache Spark Course in Chennai at BTree, you may deepen your understanding of the Big Data Hadoop Ecosystem. You get an essential, in-demand Apache Spark skills from this course, giving you a competitive edge as you pursue a rewarding career as a Spark Developer. A high-level API is provided by Apache Spark, a quick general-purpose computing system such as Python, R, Scala, and Java.

Apache Spark is a cluster computing tool that was primarily created for quick calculation. Spark is based on MapReduce and used for more complex computations, including stream processing and more queries. Spark is a memory cluster computing system that accelerates the processing of Hadoop applications.

Apache Spark has gained popularity among most technology-based businesses worldwide. They quickly learned about the true benefits of Sparks, such as machine learning and interactive querying. Apache Spark has already been embraced by leading companies in the industry like Amazon, Huawei, and IBM. Initially built on Hadoop, companies like Hortonworks, Cloudera, and MapR have switched to Apache Spark. Furthermore, ETL professionals, SQL professionals, and Project Managers can all benefit greatly from learning Apache Spark.

Data Scientists are likely to work in the Machine Learning domain, making them ideal candidates for Apache Spark training. Those with a strong willingness to understand the latest developing technologies can also benefit from this Apache Spark training.

The majority of people mistakenly believe that Spark replace Hadoop; nevertheless, Spark can act as a binding technology for Hadoop. However, Spark may operate independently of Hadoop and can run on a single cluster. On the top, Spark can use Hadoop’s storage and cluster management. We can use the capabilities of Hadoop to create a strong production environment. For simple resource management, Spark can alternatively use YARN Resource Manager.

Hadoop’s disaster recovery features can also be used by Apache Spark. To have better cluster administration and data management, we can use Spark with Hadoop. Better data security is provided by Spark and Hadoop combined.

With industry-leading facilities and 15 years of training experience, Btree System provides more than 60 IT training courses across more than ten locations in Chennai.

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Apache Spark Career Transition

60%

Avg Salary Hike

40 LPA

Highest Salary

500+

Career Transitions

300+

Hiring Partners

I attended the classroom sessions for the Advanced Apache Spark and Base R courses. Each course’s outline was carefully written and presented using the most recent video technology. I joined “BTree Systems” because of their live projects, certification training, and study materials, which are the best part of their constant and individualized engagement with the trainer.

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Ramesh

Spark Developer

IBM

Software Engineer

IBM

Spark Developer

I attended BTree for my Apache Spark training. The entire training session was engaging. My Apache Spark instructor considered everything and provided real-world examples. The assessment session received enough attention as well. We had a standard assessment test at the BTree for the Spark Course, and my trainer periodically evaluated it.

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Ravi

Data Engineer

IBM

Cloud Engineer

IBM

Data Engineer

One of the best teaching centers I’ve come across in Chennai; they offer 100% support for placement, and their training methodology is excellent, with assignments, tests, and the solution to challenging problems.

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Savitha

Data Engineer

Wipro

Software Engineer

IBM

Data Engineer

Apache Spark Skills Covered

Analysis and Exploration

Oozie Fundamentals and workflow creations

Deploying Kafka

Persistence Storage Levels

Sorting data using sortByKey

Access Modifier

Spark SQL

YARN

Sqoop

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Apache Spark Course Fees

16

Sep

SAT - SUN

08:00 PM TO 11:00 PM IST (GMT +5:30)

23

Sep

SAT - SUN

08:00 PM TO 11:00 PM IST (GMT +5:30)

30

Sep

SAT - SUN

08:00 PM TO 11:00 PM IST (GMT +5:30)

₹ 38,000

₹ 35,000

10% OFF Expires in 11:20:27

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EMI starting at just

₹ 2,500 / Months

Available EMI options

3

Months EMI

6

Months EMI

12

Months EMI

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Curriculum for Apache Spark Course in Chennai

What is Spark

  • Philosophy History
  • Present & Future

Introduction to Spark

  • Architecture Language APIs Spark Session Data Frames Lazy Evaluation
  • Actions
  • Spark UI

Spark Setup / Installation

  • Setup Spark

Spark Components

  • Structured API Spark Streaming MLib
  • GraphX

Structured API Overview

  • Data Frames Datasets Schemas Columns Rows Spark Types Execution
  • Logical Plan
  • Physical Plan Data Frame Operations
  • Create
  • Select
  • Sorting
  • Repartition, Coalesce etc. Aggregations
  • Joins
  • Working with different datatypes Working with complex data types Working with JSON.
  • File formats

Spark SQL

  • Hive
  • Spark & Hive Relationship Run SparkSQL Queries Catalog
  • Types of Tables

Spark internal working

  • How Spark Works internally Lifecycle of Spark Application

Development Process of Spark Applications

  • Write a sample Pyspark application

Deploying Spark Applications

  • Modes of cluster deployments Standalone Mode
  • Spark on Mesos
  • Spark on YARN

Monitoring & Debugging

  • Driver & Executor Processes Queries, Jobs, Stages and Tasks Spark Logs
  • Spark UI

Performance Tuning

  • Parallelism
  • Filtering
  • Repartition & Coalescing Caching
  • Joins
  • Aggregations
  • Broadcast Variables

Sqoop

  • Introduction Architecture
  • Import / Export Data

“Accelerate Your Career Growth: Empowering You to Reach New Heights in Apache Spark”

Apache Spark Training Options

Apache Spark Classroom Training

  • 50+ hours of live classroom training
  • Real-Time trainer assistance
  • Cutting-Edge on Apache Spark tools
  • Non-Crowded training batches
  • Work on real-time projects
  • Flexible timings for sessions
Apache Spark live training

Apache Spark online training

  • 50+ Hours of online Apache Spark Training
  • 1:1 personalised assistance
  • Practical knowledge
  • Chat and discussion panel for assistance
  • Work on live projects with virtual assistance
  • 24/7 support through email, chat, and social media.

Apache Spark Certification

This certificate shows that the learner has acquired the necessary coveted skills to work as an Apache Spark Developer due to the real-time exposure and project experience provided in the Spark course.

At BTree Systems, Apache Spark training is provided by Spark professionals with a minimum of 8+ years of experience working with the Big Data platform.

At BTree, the Apache Spark Mentors are professionally trained in the Big Data industry’s trends and practices.

Having an Apache Spark achievement certificate with your resume enhances your profile among your peers at the time of the interview and provides access to wider job possibilities.

Knowledge Hub with Additional Information of Apache Spark Training

There are some significant differences between the open-source large data processing frameworks Apache Hadoop and Apache Spark. Spark uses robust distributed datasets while Hadoop uses the MapReduce method to process data (RDDs). Data files can be saved across numerous workstations thanks to Hadoop’s distributed file system (HDFS). The file system is expandable because more computers and servers may be added to handle growing data volumes. As a result, Spark is mostly utilized for computation on top of Hadoop because it does not offer a distributed file storage system. Spark can be used with Hadoop even if it doesn’t require it because it can build distributed datasets from HDFS files.

Speed: Spark, which was built from the ground up for performance, can be 100 times quicker than Hadoop for large-scale data processing by leveraging in-memory computation and other enhancements. The world record for large-scale on-disk sorting is presently held by Spark, which is also quick when data is kept on a disc.

Ease of Use: Spark features simple-to-use APIs for working with huge datasets. This consists of a set of more than 100 data transformation operators as well as well-known data frame APIs for working with semi-structured data. Higher-level libraries, including support for SQL queries, streaming data, machine learning, and graph processing, are packed with a Unified Engine Spark. These industry-recognized libraries boost developer efficiency and may be seamlessly coupled to build intricate processes.

• Spark has a promising future. Apache Spark is used in real-time use cases by anyone using Hadoop in any industry or field.

• Due to the reasons below, Apache Spark is preferred by 99% of industries across all sectors. Really important MapReduce is much easier to implement in Apache Spark.

• Spark is independent-running. In addition, it can read any existing Hadoop data and run on Hadoop 2’s YARN cluster manager. A wide range of tools is available to work with real-time data if you look at the Apache Spark ecosystem.

• Importantly Cluster management is a laborious chore for businesses, but Apache Mesos excels at handling clusters with little effort. Overall, Apache Spark has a bright future and is already being used by many different businesses.

The average yearly income for a spark developer in India is 6.8 lakhs, with salaries ranging from 4.4 lakhs to 16.5 lakhs. The 133 salaries that Spark Developers have provided as a basis for their salary estimates.

With less than two years of experience to eight years of experience, a Spark Developer’s compensation in India can range from 4.4 lakhs to 16.5 lakhs, with an average yearly salary of 6.8 lakhs based on 133 salaries.

The typical annual compensation for an Apache Spark Developer in Chennai is from 12.2 to 15.5 lakhs. This is an estimation based on compensation paid to a small number of Apache Spark developers.

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Pyspark Training

Apart from just learning also got a real time experience to build Applications we can also draw insights from report generated by streaming console. This kind of real time experience for apache spark training would be really helpful thanks to Btreesystem training in Chennai.
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Apache spark Training

Apache spark training in Chennai from BTree Systems is designed by the industry experts in a way which would be beneficial for the Students who are learning even from scratch in real – time experience.
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Murugan

Apache Spark Training

Apart from apache spark alone spark starter kit, scala and spark 2, hadoop platform and application framework, pyspark and fundamentals of apache spark were also taught. I would really suggest BTree systems for the apachs Spark Training.
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Ishu Divi

Apache spark Training

Don’t think twice I would really like to suggest BTree systems for Apache spark Training in Chennai.

Hear From Our Hiring Partners

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Viji

Lead recruiter at Wipro

We have consistently hired learners from BTree Systems and have been impressed with their skills and knowledge. Their ability and expertise have made them valuable assets to our team. We are impressed with the professionals they produce.
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Siva

System Engineer

Among the many good things to mention, one of the best that catches our attention about the BTree Systems learners is the all-round skills they bring on to the table. We are looking forward to continuing our collaboration with BTree Systems.

BTREE's Placement Guidance Process

Career Process in BTree
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Overwhelmed about your future career? We offer free career consultation that helps you to figure out what you want to become.

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FAQ on Apache Spark Course

Hadoop file system fundamentals

knowledge of SQL principles

And any distributed database’s fundamentals (HBase, Cassandra)

Apache Spark is not difficult to understand; Scala is the programming language used to create Apache Spark. Scala is a programming language that is new, powerful, and fast increasing. SQL knowledge is necessary to implement Spark real-time projects. Basic programming knowledge is required to understand Scala.

Call now at +91 7397396665 to learn about the great offers that are currently available.

100% placement support is offered to our students by our extremely active placement cell. Even after the training is completed, the team continues to assist students by coaching them in mock interviews and conversations.

BTree Systems is a leading provider of IT training in Chennai. Over the years, we have taught students from a wide range of backgrounds. There are various advantages to using BTree Systems’ WBS, Activities, EPS, OBS, Roles, and Resources. Using a real-time project management platform, you may monitor and report on project performance.

Classrooms that are well-equipped

Providing hands-on training

Experts devised the curriculum.

Instructors who are knowledgeable and have flexible batch times

Exposure by Industry

Assistance with placement and reasonable rates

You can reach us at +91-7397396665, and we get back to you as soon as possible.

Before the next session, you can examine the recordings of each Apache Spark course that BTree Systems offers. You can take as many lessons as you like for 60 days. Our Combi is now available.

BTree Systems provide various modes of training to the student like

Classroom training

One-to-one training

Live instructor Online training

Customized training

You receive BTree Systems globally recognized course completion certification.

Payments can be made in any of the ways indicated below, and a receipt emailed to you instantly for both classroom and online training. We recently added EMI options to all of our courses.

EMI Visa Debit/Credit Card

The MasterCard.

Internet Banking /PayPal

Google Pay, PhonePe and Paytm

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Are you Located in any of these locations

Adyar

Anna Nagar

Besant Nagar

Ambattur

Guindy

K.K. Nagar

Koyambedu

Chromepet

Nandanam

OMR

Perungudi

Mylapore

Poonamallee

Porur

Saidapet

Sholinganallur

T. Nagar

Teynampet

Vadapalani

Velachery

Find Us

Address

Plot No: 64, No: 2, 4th E St, Kamaraj Nagar, Thiruvanmiyur, Chennai, Tamil Nadu 600041

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