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Apache Spark Course in Bangalore

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  • Hands-on Learning in Apache Spark.
  • 17804+ Students Trained & 540+ Recruiting Clients.
  • Delivered by 11+ Years of Apache Spark Certified Expert.
  • Affordable Fees With the Best Curriculum by Industrial Apache Spark Experts.
  • Lifetime Access to Student’s Portal, Study Materials & MNC Interview Question.
  • Next Apache Spark Batch to Begin This Week – Enroll Your Name Now!

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INR 14000

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INR 20000

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Upcoming Batches

27-May-2024
Mon-Fri

Weekdays Regular

08:00 AM & 10:00 AM Batches

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

22-May-2024
Mon-Fri

Weekdays Regular

08:00 AM & 10:00 AM Batches

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

25-May-2024
Sat,Sun

Weekend Regular

(10:00 AM - 01:30 PM)

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

25-May-2024
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Weekend Fasttrack

(09:00 AM - 02:00 PM)

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

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Have Cracked Their Dream Job in Top MNC Companies

Learn Advanced Apache Spark Training

  • Apache Spark, a dependable open-source distributed computing system, is unrivaled when it comes to processing and analyzing vast amounts of data.
  • Every Apache Spark training seeks to teach participants the fundamentals of Apache Spark for large-scale data processing and analytics.
  • A course on Apache Spark may equip you to use it proficiently for data processing, analytics, and machine learning.
  • Spark SQL enables you to work with both structured and semi-structured data, execute SQL queries, and connect to a variety of data sources including CSV, Parquet, and Hive.
  • The compatibility of Spark with other big data technologies such as Hadoop, Kafka, and Apache Hive may be discussed in class.
  • In-person classes provide students with a more conventional educational experience, including lectures, laboratories, and class discussions.
  • Classroom Batch Training
  • One To One Training
  • Online Training
  • Customized Training
  • Enroll Now

Course Objectives

  • Scalability: Spark is designed to manage large-scale data processing duties due to its scalability.
  • Versatility: Spark offers a unified infrastructure for a variety of data processing activities, such as bulk processing, real-time streaming, machine learning, and graph processing.
  • Fault-tolerance: Spark is equipped with built-in mechanisms for handling malfunctions in a distributed environment.
  • Data processing
  • Spark Core
  • Spark SQL
  • Spark Streaming
  • Machine Learning with MLlib

A solid foundation in programming concepts and proficiency in at least one programming language like Scala, Java, Python, or R is highly recommended. Familiarity with distributed computing concepts and an understanding of big data technologies, such as Hadoop, is advantageous.

  • Big data processing
  • High performance
  • Versatility
  • Scalability
  • Integration with existing tools

Students are given the opportunity to work in teams and explore the process of collaborative work settings via the completion of multiple projects that include cooperation with peers or industry experts.

  • Spark Basics
  • Resilient Distributed Datasets (RDDs)
  • Spark SQL
  • Spark Streaming
  • Graph Processing with GraphX
  • Apache HBase
  • Apache Flink
  • TensorFlow
  • MLflow
  • Zeppelin
  • Increasing demand for big data processing.
  • Real-time and streaming data analytics.
  • Machine learning and AI applications.
  • Integration with other big data tools.
  • Active community and ecosystem.

Is Apache Spark a good career in India?

Due to rising demand and a decreasing number of qualified candidates, salaries for Apache Spark experts in India are on the rise. Furthermore, there are many prospects for advancement and promotion in your career as you develop knowledge and experience with Apache Spark, including executive and leadership roles.

  • Finance and Banking
  • E-commerce and Retail
  • Telecommunications
  • Energy and Utilities
  • Media and Entertainment

What kind of learning materials are provided in the course?

  • Lecture Notes
  • Code Examples
  • Assignments and Projects
  • Video Lectures
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A Comprehensive Overview of Apache Spark

Apache Spark is a strong open-source tool for handling and analysing huge amounts of data. On the same, efficient system, organised, semi-structured, and random data can all be handled. One of the best things about Spark is that it can handle data in memory, which means that processing and analytics can be done right away. Spark is able to handle huge information across groups of machines because of its distributed computing method and fault-tolerant design. The system is made so that a large group of developers and data scientists can use it. Because of this, it offers a complete set of application programming interfaces (APIs) in many languages. Spark is flexible beyond its roots in batch processing because it also works with real-time streaming, machine learning, and graph processing.

Additional Info

Tools used for Apache Spark:

Several tools are often used in combination with Apache Spark to increase its capabilities and simplify development and administration duties. Some of Apache Spark's most important supporting software includes:

Apache Hadoop:

A common open-source big data framework is Apache Hadoop. HDFS and MapReduce are both distributed file systems and processing frameworks that may be used in conjunction with Apache Spark. Spark can make use of the data storage and processing power of Hadoop.

Apache Hive:

Apache Hive is a SQL-like query language and data warehouse for Hadoop. Spark's compatibility with Hive means that users may run Spark SQL queries on data kept in Hive tables.

Apache Kafka:

Apache Kafka is a system that allows for distributed streaming. Spark Streaming can handle and analyze streaming data in real time by ingesting it straight from Kafka topics.

Apache Cassandra:

The NoSQL database Apache Cassandra is very scalable. Spark's ability to read and write to Cassandra facilitates the integration of Spark's analytics features with Cassandra's distributed data storage.

Apache HBase:

Apache HBase is a NoSQL database created by the Apache Software Foundation. It is columnar, distributed, and scalable. Therefore, Spark and HBase may cooperate to do data processing and analysis. Spark has full I/O capabilities with HBase.

Apache Flink:

Apache Flink is another framework for distributed stream processing. Unlike Spark Streaming, which is designed for micro-batch processing, Flink can handle continuous streaming. Both programs are very feature-rich, but they take quite distinct approaches to design.

Zeppelin:

Zeppelin is an online notebook that may be used to do data analysis and visualisation. Ideal for creating and distributing Spark applications, it provides a shared environment for coding in, executing, and viewing data using the Spark framework.

Advantages of Apache Spark

Apache Spark is widely used for large data processing and analytics due to its many benefits:

  • Speed: Spark is renowned for its lightning-fast processing speeds. It's able to do calculations in memory, which cuts down on disk I/O and speeds up processing. Spark also makes use of advanced optimization strategies like caching and lazy evaluation to speed up operations.

  • Scalability: Spark can process massive amounts of data quickly and efficiently. It can grow horizontally according to the demands of the application since data and computations may be distributed over a cluster of computers. Spark's built-in cluster manager enables it to be easily integrated with common cluster management frameworks like Apache Mesos and Hadoop YARN.

  • Versatility: Spark's adaptability stems from its ability to serve as a centralized hub for a wide range of data processing operations, including as batch processing, real-time streaming, machine learning, and graph processing. It provides high-level application programming interfaces (APIs) in many languages, including Scala, Java, Python, and R, so that programmers may use their favorite language.

  • Fault-tolerance: Distributed failure handling is simplified using Spark's in-built fault tolerance capabilities. By recording the history of Resilient Distributed Datasets (RDDs), it is possible to automatically restore corrupted sections of data, hence achieving fault tolerance. This function guarantees the dependability and sturdiness of Spark programs.

  • Rich ecosystem: Spark has a vibrant and extensive ecosystem that includes libraries and integrations with other popular big data tools. It provides various libraries for machine learning (MLlib), graph processing (GraphX), and real-time streaming (Spark Streaming). Additionally, Spark integrates well with other Apache projects like Hadoop, Hive, HBase, and Kafka.

  • Ease of use: Spark offers a user-friendly programming model with high-level APIs, such as DataFrames and Datasets, which simplify the development of complex data processing tasks. It also provides an interactive shell (Spark Shell) and a web-based UI (Spark Web UI) for easy monitoring and debugging of Spark applications.

  • Community and support: Apache Spark has a large and active community of developers, data scientists, and researchers. The community provides regular updates, bug fixes, and enhancements, ensuring the longevity and continuous improvement of the framework. Moreover, Spark has extensive documentation, online forums, and user groups, offering support and resources for users. Spark has a vibrant and extensive ecosystem that includes libraries and integrations with other popular big data tools. It provides various libraries for machine learning (MLlib), graph processing (GraphX), and real-time streaming (Spark Streaming). Additionally, Spark integrates well with other Apache projects like Hadoop, Hive, HBase, and Kafka.

Important Skill Sets Used by Apache Spark Professionals

  • Working effectively with structured and semi-structured data requires expert knowledge of Spark SQL.
  • Experts in Spark should be familiar with Hive, Parquet, and JSON, as well as other data sources, and should be able to write SQL-like queries, execute complicated searches on DataFrames, and conduct data transformations.
  • This understanding equips users to effectively use Spark SQL for analysing and learning from structured data.
  • Spark Streaming allows for real-time data processing, hence professionals working with Spark should be proficient in it.
  • They should be well-versed in Discrepant Streams (DStreams), windowed operations, integrating streaming sources like Kafka or Flume, and real-time analytics.
  • Real-time application development and the processing and analysis of streaming data need these abilities.
  • Professionals in the Spark community benefit greatly from mastery of MLlib, Spark's machine learning library.
  • They need to know how to use MLlib for data preprocessing, feature extraction, model training, evaluating, and deploying.
  • Scalable machine learning solutions for tasks like classification, regression, clustering, and recommendation systems may then be developed and deployed.
  • Experience with a cluster management framework, such as Apache Mesos or Hadoop YARN, is a must for Spark professionals.
  • It's crucial to have a firm grasp on the fundamentals of cluster administration, including how to allocate resources and set up Spark applications to make the most of the available nodes.
  • Mastery of cluster management allows distributed Spark applications to be easily deployed and scaled.

Career scope for Apache Spark:

As more and more businesses of all sizes and in all sectors realize the value of big data analytics, the need for skilled Apache Spark specialists rises steadily. Professionals that are proficient in using Apache Spark to handle and analyze massive datasets are in high demand because of the data explosion.

Because of its flexibility, Apache Spark can be used to many different kinds of uses. Experts in Apache Spark may apply their skills to a wide range of tasks, from batch processing to real-time streaming to machine learning to graph analytics. This adaptability will open up more doorways in your professional life.

Spark is being used for data processing, analytics, and machine learning by a wide variety of businesses. Due to its increasing popularity, the need for Apache Spark experts is high.

The MLlib machine learning library for Apache Spark is a robust infrastructure for large-scale machine learning model development and deployment. Apache Spark is widely utilised for large-scale machine learning tasks, therefore professionals with expertise in Spark may find work in fields such as data science, Machine Learning engineering, and artificial intelligence.

Big data consulting is an emerging field for Apache Spark experts. They may assist businesses with creating data processing pipelines, optimising existing ones, creating Spark-based bespoke solutions, gaining insights from data analytics, and getting the most out of their big data investments.

Improvements in speed, scalability, and usability of Apache Spark are the result of ongoing investigation and development. Knowledgeable professionals in the field of big data processing and analytics may have a significant impact on the future of the field by participating in research projects, creating novel solutions, and influencing policy.

Experts in Apache Spark have opportunities to launch their own businesses or work independently. Consulting services, Spark-based app/tool development, Spark-based workshop facilitation, and open-source Spark project participation are all viable options. Professionals working with Apache Spark nowadays should be familiar with its most recent features, bug fixes, and recommended procedures.

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Key Features

ACTE Bangalore 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 Bangalore
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
Healthcare Data Analytics

Develop predictive models for patient outcomes or disease diagnosis.

Project 2
Ad Click Fraud Detection

Build a system to detect fraudulent ad clicks in online advertising campaigns.

Excite Your Career With Apache Spark Job Opportunities

  • To prepare students for careers in the networking sector, ACTE offers professional Apache Spark training through online courses and more conventional classroom instruction.
  • Finding work that uses Apache Spark might potentially increase your salary. Several sources claim that certified Apache Spark experts may command a higher salary than their less-qualified peers.
  • After students have finished around 60% of the material presented in the Apache Spark training course, we will get in contact with them to set up interviews and prepare them for in-person meetings.
  • Companies like IBM, HCL, Wipro, Dell, Accenture, Google, CTS, and TCS are held up as examples of our competition. It facilitates the process of connecting our graduates with worldwide companies.
  • Our top-notch team is here to assist students who are studying Apache Spark find rewarding professions in the IT field and secure employment after graduation.
  • Through our Apache Spark Job program, we help students identify and pursue occupations that are a good match for their unique set of skills, interests, and beliefs.
  • We've assembled a best placement support assistance group to guide students in the direction of suitable work prospects.

Obtain Our Informative Apache Spark certification

Participating in one of ACTE's professionally certified Apache Spark Training may help you acquire the skills that employers want. You may get a competitive advantage on the job market by developing practical expertise with Apache Spark and its features. The Apache spark certification you get is significant because it sets you apart from other candidates and validates your hands-on experience working on actual projects. For students who wish to succeed in the area of Apache Spark, ACTE is an excellent solution since it offers flexible study options and placement help. To get started in the Apache Spark industry, enroll straight now in a certificate program in Apache Spark in Bangalore.

  • Enhanced Employability.
  • Versatility and Flexibility.
  • Career Growth Opportunities.
  • Entrepreneurial Opportunities.
  • Continuous Learning and Development.

This course introduces Apache Spark to complete beginners. It delves into the Spark programming paradigm, RDDs, Spark SQL, Spark Streaming, and Spark MLlib. It contains practical exercises using the Spark environment.

  • Understanding of Apache Spark
  • Spark Programming
  • Spark SQL
  • Real-time Streaming with Spark
  • Graph Processing with GraphX
  • Databricks Certified Developer for Apache Spark
  • IBM Certified Data Engineer
  • Cloudera Certified Spark and Hadoop Developer
  • Hortonworks Certified Spark Developer

Yes, Earning an Apache Spark certification can significantly enhance your qualifications and make you a more competitive candidate for jobs that require big data processing and analytics using Apache Spark. Job placement depends on various factors, including your overall skills, experience, and the job market conditions in your region.


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

Learn From Best Apache Spark Trainers

  • Our Apache spark Trainers provide comprehensive training in Apache Spark Course in Bangalore, covering everything from the basics to the most recent developments in the field.
  • Expert instructors at ACTE teach students Apache Spark via real-world projects, case studies, and practice activities.
  • Experts in the field of Apache Spark, trainers place a premium on helping others learn.
  • Our instructors are experts at breaking down difficult topics in Apache Spark so that students may understand them.
  • Our faculty members have extensive experience in the field, having worked with companies like Dell, Infosys, IBM, TCS, and Technologies.
  • Our well-trained educators provide a safe space for students to raise concerns and share solutions in class.
  • Professionals with a minimum of nine years of expertise in the field are sought after by the top worldwide businesses to fill the roles of Apache Spark specialists.

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

Apache Spark Software Course FAQs

Looking for better Discount Price?

Call now: +91 93800 99996 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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