Apache Spark Training in Coimbatore | Best Spark Course [UPDATED]
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Apache Spark Training in Coimbatore

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Live Instructor LED Online Training

Learn from Certified Experts

  • Suitable for Both Beginners and Experts.
  • Experience Hands-on Education With Apache Spark.
  • Trained Over 13456+ Students & 350+ Hiring Partners.
  • Instruction provided by 9+ years of Apache Spark Certified Expert.
  • Limitless Access to Study Materials, Videos & Top MNC Interview Questions.
  • Next Apache Spark Batch to Begin This Week – Enroll Your Name Now!

Price

INR 18000

INR 14000

Price

INR 20000

INR 16000

Have Queries? Ask our Experts

+91-8376 802 119

Available 24x7 for your queries

Upcoming Batches

04-Mar-2024
Mon-Fri

Weekdays Regular

08:00 AM & 10:00 AM Batches

(Class 1Hr - 1:30Hrs) / Per Session

28-Feb-2024
Mon-Fri

Weekdays Regular

08:00 AM & 10:00 AM Batches

(Class 1Hr - 1:30Hrs) / Per Session

02-Mar-2024
Sat,Sun

Weekend Regular

(10:00 AM - 01:30 PM)

(Class 3hr - 3:30Hrs) / Per Session

02-Mar-2024
Sat,Sun

Weekend Fasttrack

(09:00 AM - 02:00 PM)

(Class 4:30Hr - 5:00Hrs) / Per Session

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Learn at Home with ACTE

Online Courses by Certified Experts

Access Our Valuable Apache Spark Training

  • Master Apache Spark through our comprehensive training, covering fundamental concepts to advanced applications in big data processing.
  • Gain hands-on experience in Apache Spark with real-world projects we provide, enhancing your ability to handle large-scale data processing tasks.
  • Our Apache Spark training is led by industry experts, providing insights into best practices and real-world use cases.
  • Receive personalized guidance from our experts, adapting the curriculum to suit your learning pace and professional goals.
  • Explore the Apache Spark ecosystem for diverse data processing applications, including Spark SQL, MLlib, GraphX, and Spark Streaming.
  • Achieve Apache Spark certification, validating your expertise and enhancing your career prospects in the dynamic field of big data analytics.
  • Learn to optimize data processing workflows with Apache Spark, ensuring efficiency in analytics, machine learning, and data processing tasks.
  • Classroom Batch Training
  • One To One Training
  • Online Training
  • Customized Training
  • Enroll Now

This is How ACTE Students Prepare for Better Jobs

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Course Objectives

Our Apache Spark course enhances your big data processing skills, making you proficient in advanced analytics and increasing your job prospects in data-driven industries.
The future of Apache Spark technology looks promising, with continuous advancements in big data analytics, machine learning, and real-time processing ensuring its relevance in evolving data landscapes.
  • Familiarity with big data concepts
  • Basic understanding of programming languages like Java or Python
The Apache Spark course equips you with skills such as distributed data processing, machine learning, and real-time analytics, enhancing your capabilities in handling complex data scenarios.
Yes, the Apache Spark program often includes practical projects to provide hands-on experience and reinforce the concepts learned during the training.
  • Spark architecture
  • RDDs
  • Spark SQL
  • Machine learning with Spark MLlib
  • Spark Streaming
  • Software technology
  • Finance
  • Healthcare
  • E-commerce

Is there any demand for Apache Spark?

Yes, there is a demand for Apache Spark professionals, given its widespread use in big data processing, analytics, and machine learning applications.
  • Enhanced job opportunities
  • Proficiency in cutting-edge big data technologies
  • Ability to contribute to data-driven decision-making

Name some tools used in the Apache Spark course.

  • Spark Core
  • Spark SQL
  • Spark Streaming
  • MLlib

What kind of materials are included in the Apache Spark course?

Our Materials in the Apache Spark course may include lecture notes, video tutorials, coding exercises, and real-world case studies to ensure a well-rounded learning experience.
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About Apache Spark Training in Coimbatore

ACTE provides Apache Spark and Scala certification online training is designed to advance your expertise working with the Big Data Hadoop Ecosystem. You will master essential skills of the Apache Spark open source framework and the Scala programming language, including Spark Streaming, Spark SQL, machine learning programming, GraphX programming and Shell Scripting Spark. This Spark Certification(CCA175) training course will give you vital skillsets and a competitive advantage for an exciting career as a Big Data Hadoop Developer. Start Learning with us ACTE Apache Spark Classroom and Online Training Course.

Additional Info

Apache Spark Career

As we all know, big data analytics have a fresh new face, Apache Spark. Basically, the Spark’s significance and share are continuously increasing across organizations. Hence, there are ample of career opportunities in spark. In this blog “Apache Spark Careers Opportunity: A Quick Guide” we will discuss the same. We will also discuss a few names of top companies which are using a spark. Moreover, we will also discuss the job titles for these technologies.

Apache Spark Careers Opportunity

  • In the entire world, Developers are leveraging the Spark framework in different languages. Such as Scala, Java, and Python. Basically, Apache Spark offers flexibility to run applications in their favorite languages. Also allows building new apps faster.
  • Around the globe, some large organizations have taken spark very seriously.
  • Some popular companies like Amazon, Yahoo, Alibaba, eBay, Hitachi, Shopify, and many more.
  • They have invested in talent around Spark. There is some ratio, in which jobs are available, such as in the batch processing of large data sets, 78% of them are engaged. Also, for event stream processing 60% required as support. Similarly, for fast, real-time data querying, around 56% are there.
  • Moreover, at enhancing programming productivity 55% are aiming. Furthermore, there are some huge opportunities across industry segments, that includes

Benefit of Learning Spark

  • Recently, in each sector, there is a strong desire to have the technical workforce. Basically, there is a huge demand for skilled professionals. Since there are surplus big data jobs in the market.
  • To empower your education and grow as a business leader, this is certainly the perfect time. Moreover, by mastering these nice frameworks, you can grab the best opportunities.

Career Path in Spark

  • The career path for Apache spark is based on the industry and the organization that is using or moving towards spark framework.
  • The top companies like Alibaba, Hitachi etc. are adopting the spark in a serious manner and mainly work on this framework.
  • The batch jobs are mainly processing the data are developed in spark and large data sets are being processed.
  • The different sectors or industries are mainly hiring the spark developers like retail, finance, telecommunication/networking, banking, software or IT, Media and entertainment, Consulting, Healthcare, Manufacturing, Professional and technical services.
  • The data is mainly engaged more than 50% in spark framework and stream processing required good support.
  • There are some really good opportunities available in the above-mentioned industries already and in future, it will be in increasing order only as a spark is enhancing productivity and time and effort as well.

Career Growth in Spark

  • The career outlook for the spark developer is good. As it has been observed that demand for growth in a job at entry level position like software developer has been increased rapidly across the global organizations.
  • The mid-level position or developers demand of job opportunities is also increasing at good pace, which helps individuals to achieve their financial growth and settled their career in the same technology.
  • For this skill, freelancing projects are available on different websites that help an individual to start and able to get good earning while doing work from home or in comfort area.
  • These freelancing jobs are really giving good salary to spark developers because the developer community is less and there is a lot of demand of these developers out there. It is better to learn this and start your career in Spark as it will be one of the trending skill in future that is required for the different organizations.
    Job Positions or Application Areas For Career in Spark
  • There are many job position or application areas for Spark developer. One can apply to the job position according to the skill and experience level. The different job positions are Software Developer, Systems Engineer, System Architect, System analysts, Big data developer, the lead software engineer in big data, data scientist, data engineer, IT project management, Management analyst etc.
  • The job opportunities have been increased lot in recent time and some of the opportunities are also in the Research and development area as well. The other job opportunities or role that is available in the organization such as research analysis, data visualizers etc.
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Key Features

ACTE Coimbatore offers Apache Spark Training in more than 27+ branches with expert trainers. Here are the key features,

  • 40 Hours Course Duration
  • 100% Job Oriented Training
  • Industry Expert Faculties
  • Free Demo Class Available
  • Completed 500+ Batches
  • Certification Guidance

Authorized Partners

ACTE TRAINING INSTITUTE PVT LTD is the unique Authorised Oracle Partner, Authorised Microsoft Partner, Authorised Pearson Vue Exam Center, Authorised PSI Exam Center, Authorised Partner Of AWS and National Institute of Education (nie) Singapore.

Curriculum

Syllabus of Apache Spark Course in Coimbatore
Module 1: Introduction to Spark
  • Introduction to Spark
  • Spark overcomes the drawbacks of working on MapReduce
  • Understanding in-memory MapReduce
  • Interactive operations on MapReduce
  • Spark stack, fine vs. coarse-grained update, Spark Hadoop YARN, HDFS Revision, and YARN Revision
  • The overview of Spark and how it is better than Hadoop
  • Deploying Spark without Hadoop
  • Spark history server and Cloudera distribution
Module 2: Spark Basics
  • Spark installation guide
  • Spark configuration
  • Memory management
  • Executor memory vs. driver memory
  • Working with Spark Shell
  • The concept of resilient distributed datasets (RDD)
  • Learning to do functional programming in Spark
  • The architecture of Spark
Module 3: Working with RDDs in Spark
  • Spark RDD
  • Creating RDDs
  • RDD partitioning
  • Operations and transformation in RDD
  • Deep dive into Spark RDDs
  • The RDD general operations
  • Read-only partitioned collection of records
  • Using the concept of RDD for faster and efficient data processing
  • RDD action for the collect, count, collects map, save-as-text-files, and pair RDD functions
Module 4: Aggregating Data with Pair RDDs
  • Understanding the concept of key-value pair in RDDs
  • Learning how Spark makes MapReduce operations faster
  • Various operations of RDD
  • MapReduce interactive operations
  • Fine and coarse-grained update
  • Spark stack
Module 5: Writing and Deploying Spark Applications
  • Comparing the Spark applications with Spark Shell
  • Creating a Spark application using Scala or Java
  • Deploying a Spark application
  • Scala built application
  • Creation of the mutable list, set and set operations, list, tuple, and concatenating list
  • Creating an application using SBT
  • Deploying an application using Maven
  • The web user interface of Spark application
  • A real-world example of Spark
  • Configuring of Spark
Module 6: Parallel Processing
  • Learning about Spark parallel processing
  • Deploying on a cluster
  • Introduction to Spark partitions
  • File-based partitioning of RDDs
  • Understanding of HDFS and data locality
  • Mastering the technique of parallel operations
  • Comparing repartition and coalesce
  • RDD actions
Module 7: Spark RDD Persistence
  • The execution flow in Spark
  • Understanding the RDD persistence overview
  • Spark execution flow, and Spark terminology
  • Distribution shared memory vs RDD
  • RDD limitations
  • Spark shell arguments
  • Distributed persistence
  • RDD lineage
  • Key-value pair for sorting implicit conversions like CountByKey, ReduceByKey, SortByKey, and AggregateByKey
Module 8: Spark MLlib
  • Introduction to Machine Learning
  • Types of Machine Learning
  • Introduction to MLlib
  • Various ML algorithms supported by MLlib
  • Linear regression, logistic regression, decision tree, random forest, and K-means clustering techniques
Module 9: Integrating Apache Flume and Apache Kafka
  • Why Kafka and what is Kafka?
  • Kafka architecture
  • Kafka workflow
  • Configuring Kafka cluster
  • Operations
  • Kafka monitoring tools
  • Integrating Apache Flume and Apache Kafka
Module 10: Spark Streaming
  • Introduction to Spark Streaming
  • Features of Spark Streaming
  • Spark Streaming workflow
  • Initializing StreamingContext, discretized Streams (DStreams), input DStreams and Receivers
  • Transformations on DStreams, output operations on DStreams, windowed operators and why it is useful
  • Important windowed operators and stateful operators
Module 11: Improving Spark Performance
  • Introduction to various variables in Spark like shared variables and broadcast variables
  • Learning about accumulators
  • The common performance issues
  • Troubleshooting the performance problems
Module 12: Spark SQL and Data Frames
  • Learning about Spark SQL
  • The context of SQL in Spark for providing structured data processing
  • JSON support in Spark SQL
  • Working with XML data
  • Parquet files
  • Creating Hive context
  • Writing data frame to Hive
  • Reading JDBC files
  • Understanding the data frames in Spark
  • Creating Data Frames
  • Manual inferring of schema
  • Working with CSV files
  • Reading JDBC tables
  • Data frame to JDBC
  • User-defined functions in Spark SQL
  • Shared variables and accumulators
  • Learning to query and transform data in data frames
  • Data frame provides the benefit of both Spark RDD and Spark SQL
  • Deploying Hive on Spark as the execution engine
Module 13: Scheduling/Partitioning
  • Learning about the scheduling and partitioning in Spark
  • Hash partition
  • Range partition
  • Scheduling within and around applications
  • Static partitioning, dynamic sharing, and fair scheduling
  • Map partition with index, the Zip, and GroupByKey
  • Spark master high availability, standby masters with ZooKeeper
  • Single-node recovery with the local file system and high order functions
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Need customized curriculum?

Hands-on Real Time Apache Spark Projects

Project 1
Zepellin project

This Project is working to bring integrated IPython (Jupyter) style notebooks to the Spark ecosystem.

Project 2
Spark Cassandra Connector Project

This Project actively-developed open source software which allows Spark to interact with Cassandra tables.

Our Top Hiring Partner for Placements

ACTE Coimbatore offers placement opportunities as add-on to every student / professional who completed our classroom or online training. Some of our students are working in these companies listed below.

  • We are associated with top organizations like HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM etc. It make us capable to place our students in top MNCs across the globe
  • We have separate student’s portals for placement, here you will get all the interview schedules and we notify you through Emails.
  • After completion of 70% Apache Spark training course content, we will arrange the interview calls to students & prepare them to F2F interaction
  • Apache Spark Trainers assist students in developing their resume matching the current industry needs
  • We have a dedicated Placement support team wing that assist students in securing placement according to their requirements
  • We will schedule Mock Exams and Mock Interviews to find out the GAP in Candidate Knowledge

Secure Your Apache Spark Certification with Us

Apache Spark certification is a valuable achievement for those seeking big data processing and analytics expertise. It includes comprehensive training covering Apache Spark's architecture, RDDs, SQL, machine learning with Spark MLlib, and real-time analytics with Spark Streaming. The certification process includes practical projects to apply skills in real-world scenarios. Successful completion of the Apache Spark certification validates proficiency in big data technology and enhances career prospects in diverse industries. Additionally, our certification program covers a range of tools within the Spark ecosystem, providing participants with a well-rounded understanding of this widely used framework for distributed data processing.

  • Certified Apache Spark Associate
  • Databricks Certified Apache Spark Developer
  • EMC Proven Professional Data Scientist Associate (EMCDSA)
  • IBM Certified Data Engineer - Big Data
Yes, obtaining an Apache Spark certification is a pivotal step in strengthening your qualifications, positioning you as a highly competitive candidate for roles demanding expertise in big data processing and analytics with Apache Spark. It adds a valuable credential to your professional profile, substantially amplifying your appeal to employers seeking skilled individuals in the dynamic landscape of data-driven decision-making.
  • Solid skills in programming languages like Java or Python are often required.
  • A foundational understanding of big data concepts and distributed computing is commonly expected.
  • Familiarity with core Apache Spark concepts such as RDDs and DataFrames is essential.
  • Big Data Engineer
  • Data Scientist
  • Spark Developer
  • Data Analyst
  • Machine Learning Engineer
  • Established Professional Credibility
  • Comprehensive Skill Validation
  • Expanded Career Opportunities
  • Distinctive Competitive Edge
  • Recognized Industry Validation

Complete Your Course

a downloadable Certificate in PDF format, immediately available to you when you complete your Course

Get Certified

a physical version of your officially branded and security-marked Certificate.

Get Certified

About Experienced Apache Spark Trainer

  • Our Apache Spark Training in Coimbatore. Trainers are certified professionals with 7+ years of experience in their respective domain as well as they are currently working with Top MNCs.
  • As all Trainers are Apache Spark domain working professionals so they are having many live projects, trainers will use these projects during training sessions.
  • All our Trainers are working with companies such as Cognizant, Dell, Infosys, IBM, L&T InfoTech, TCS, HCL Technologies, etc.
  • Trainers are also help candidates to get placed in their respective company by Employee Referral / Internal Hiring process.
  • Our trainers are industry-experts and subject specialists who have mastered on running applications providing Best Apache Spark training to the students.
  • We have received various prestigious awards for Apache Spark Training in Coimbatore from recognized IT organizations.

Apache Spark Course Reviews

Our ACTE Coimbatore Reviews are listed here. Reviews of our students who completed their training with us and left their reviews in public portals and our primary website of ACTE & Video Reviews.

Anjali

Student

This Apache Spark course helps me understand deeply on big data tools like Spark, Kafka, Casandra, AWS (basic stuffs for Big data) and programming languages like Scala and SQL . It's important to say that all classes are only hands on in ACTE Institute. Good Asset.

Mowlika

It is the best place to gain knowledge in Apache Spark. ACTE the trainers are very friendly in Coimbatore. They taught not only technical knowledge, but they also explain how we should behave and survive in industry. And they taught real time examples for each and every topic. So it is very helps us to get a job

Ashvath

Software Engineer

One of good better best teaching center as chennai I seen through out they provide 100% support to get placement and the training method is excellent by giving assignment, conducting test and solving complex problems there is Bright future for ACTE joiners only thanks to ACTE for giving that kind of support grown up my career special thanks to Prathab sir

Pavithra

Student

I have joined ACTE at Tambaram for Apache Spark training .And to my surprise, I found the course and environment both more interesting with such amazingly skilled trainers. Perhaps this is one of the best training institution in Chennai offering many more courses that institude so I can recommend for people who wish to have course certifications.It is just worth the money.

Ramya

I'm 100% satisfied with the theoretical and practical classes. The trainers explained each and every bit of details; like how Apache Spark Training process a job/transformations. I'll recommend ACTE institute, if someone like to learn Apache Spark. I have attended both online and offline class

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Apache Spark Software Course FAQs

Looking for better Discount Price?

Call now: +91 93833 99991 and know the exciting offers available for you!
  • ACTE is the Legend in offering placement to the students. Please visit our Placed Students List on our website
  • We have strong relationship with over 700+ Top MNCs like SAP, Oracle, Amazon, HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM etc.
  • More than 3500+ students placed in last year in India & Globally
  • ACTE conducts development sessions including mock interviews, presentation skills to prepare students to face a challenging interview situation with ease.
  • 85% percent placement record
  • Our Placement Cell support you till you get placed in better MNC
  • Please Visit Your Student Portal | Here FREE Lifetime Online Student Portal help you to access the Job Openings, Study Materials, Videos, Recorded Section & Top MNC interview Questions
    ACTE Gives Certificate For Completing A Course
  • Certification is Accredited by all major Global Companies
  • ACTE is the unique Authorized Oracle Partner, Authorized Microsoft Partner, Authorized Pearson Vue Exam Center, Authorized PSI Exam Center, Authorized Partner Of AWS and National Institute of Education (NIE) Singapore
  • The entire Apache Spark Software training has been built around Real Time Implementation
  • You Get Hands-on Experience with Industry Projects, Hackathons & lab sessions which will help you to Build your Project Portfolio
  • GitHub repository and Showcase to Recruiters in Interviews & Get Placed
All the instructors at ACTE are practitioners from the Industry with minimum 9-12 yrs of relevant IT experience. They are subject matter experts and are trained by ACTE for providing an awesome learning experience.
No worries. ACTE assure that no one misses single lectures topics. We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities. If required you can even attend that topic with any other batches.
We offer this course in “Class Room, One to One Training, Fast Track, Customized Training & Online Training” mode. Through this way you won’t mess anything in your real-life schedule.

Why Should I Learn Apache Spark Software Course At ACTE?

  • Apache Spark Software Course in ACTE is designed & conducted by Apache Spark Software experts with 10+ years of experience in the Apache Spark Software domain
  • Only institution in India with the right blend of theory & practical sessions
  • In-depth Course coverage for 60+ Hours
  • More than 50,000+ students trust ACTE
  • Affordable fees keeping students and IT working professionals in mind
  • Course timings designed to suit working professionals and students
  • Interview tips and training
  • Resume building support
  • Real-time projects and case studies
Yes We Provide Lifetime Access for Student’s Portal Study Materials, Videos & Top MNC Interview Question.
You will receive ACTE globally recognized course completion certification Along with National Institute of Education (NIE), Singapore.
We have been in the training field for close to a decade now. We set up our operations in the year 2009 by a group of IT veterans to offer world class IT training & we have trained over 50,000+ aspirants to well-employed IT professionals in various IT companies.
We at ACTE believe in giving individual attention to students so that they will be in a position to clarify all the doubts that arise in complex and difficult topics. Therefore, we restrict the size of each Apache Spark Software batch to 5 or 6 members
Our courseware is designed to give a hands-on approach to the students in Apache Spark Software. The course is made up of theoretical classes that teach the basics of each module followed by high-intensity practical sessions reflecting the current challenges and needs of the industry that will demand the students’ time and commitment.
You can contact our support number at +91 93800 99996 / Directly can do by ACTE.in's E-commerce payment system Login or directly walk-in to one of the ACTE branches in India
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Request for Class Room & Online Training Quotation

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