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Apache Spark with Scala Training in Houston

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  • Beginner & Advanced level Classes.
  • Hands-On Learning in Apache Spark with Scala.
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  • Delivered by 9+ years of Apache Spark with Scala Certified Expert | 12402+ Students Trained & 350+ Recruiting Clients.
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13-May-2024
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Best Practices on Job Oriented Tools Covered in Apache Spark with Scala Training in Houston

Learn From Experts, Practice On Projects & Get Placed in IT Company

  • 100% Guaranteed Placement Support for Freshers & Working Professionals
  • You will not only gain knowledge of Apache Spark with Scala Certification and advanced concepts, but also gain exposure to Industry best practices
  • Experienced Trainers and Lab Facility
  • Apache Spark with Scala Professional Certification Guidance Support with Exam Dumps
  • Practical oriented / Job oriented Training. Practice on Real Time project scenarios.
  • We have designed an in-depth course so meet job requirements and criteria
  • Resume & Interviews Preparation Support
  • Concepts:Apache Spark Core, Motivation for Apache Spark, Spark Internals, RDD, SparkSQL, Spark Streaming, MLlib, and GraphX that form key constituents of the Apache Spark course.
  • START YOUR CAREER WITH Apache Spark with Scala CERTIFICATION COURSE THAT GETS YOU A JOB OF UPTO 6 TO 14 LACS IN JUST 70 DAYS!
  • Classroom Batch Training
  • One To One Training
  • Online Training
  • Customized Training
  • Enroll Now

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Course Objectives

Apache Spark with Scala Big data, Spark with Scala/Python falls in the data engineering category. It is increasing nowadays as most of the business of top companies are getting generated from Data Analytics projects. Accenture said its 60% business is from Data Analytics, TCS also got 2.5 billion dollar deal in Data Analytics only.
    Well, Apache Spark is a general-purpose & lightning fast cluster computing system (a Framework) whereas Scala is a high-level programming language in which Spark is written.
Apache Spark and Scala is the one of the most active projects of Apache and its future scope will be long lasting. Using Apache Spark, we achieve a high data processing speed of about 100x faster in memory and 10x faster on the disk. This is made possible by reducing the number of read-write to disk.
We are happy and proud to say that we have strong relationship with over 700+ small, mid-sized and MNCs.
Apache Spark is written in Scala and because of its scalability on JVM - Scala programming is most prominently used programming language, by big data developers for working on Spark projects. Also, the performance achieved using Scala is better than many other traditional data analysis tools like R or Python.
    Means to learn Spark framework, you must have minimum knowledge in Scala. It's a new programming language, but it's very powerful. If you know any programming language like C, C++, core java, php, python, or any other language , you can easily learn Scala language.
    No learning Scala to learn and work with Spark is not necessary. Scala being a functional language can be very easy to understand especially if you come from C or other languages. it runs on JVM. Since Spark is written in Scala you will/might have a few performance benefits if you write your programs in Scala.

Is Apache Spark and Scala Worth Learning in Nowadays?

    Apache Spark and Scala is considered a 'general-purpose' language that makes use of the functional and object-oriented paradigms. Even though Scala is a great language to use in these categories, if you don't understand why you need Scala (regardless if it's 2020 or 2030), you most likely shouldn't be learning it yet.

How do I run Spark Program in Scala?

Go to Spark Home Directory. Login to Linux and open terminal. To run Spark Scala application we will be using Ubuntu Linux. Copy the jar file to create one text file, which we will use as input for Spark Scala wordcount job.

Is Apache Spark with Scala difficult to learn?

Learning Spark is not difficult if you have a basic understanding of Python or any programming language, as Spark provides APIs in Java, Python, and Scala. You can take up this Spark Training to learn Spark from industry experts.

Top reasons to consider a career in Apache Spark with Scala?

  • Hadoop Compatible.
  • High on Versatility, High on Demand.
  • Salaries Going Through the Roof.
  • Diminishing Appeal of Hadoop.
  • Quick Coding, Low Latency.

How do beginners learn the Apache Spark Scala Course?

    Apache Spark Scala may be a powerful business intelligence tool and beginners should initially understand the ideas of knowledge visualization before setting out to use it. Apache Spark Scala course is one of the most effective resources beginners will choose to learn from scratch.
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Overview of Apache Spark with Scala Training in Houston

Apache Spark with Scala Online Training teaches you how to process real-time data using the Spark streaming, SQL, RDD, and Machine Learning libraries (Spark MLlib). In this Spark and Scala course, you will learn Spark and Scala programming as well as work on three real-world use cases.The Apache Spark and Scala Certification Training Course provides you with hands-on experience developing Spark applications using Scala programming. It provides a clear comparison of Spark and Hadoop. The course teaches you how to use Spark RDDs to improve application performance and enable high-speed processing, as well as how to customise Spark using Scala.

 

Additional Info

Introduction:

This Apache Spark with Scala Online Course teaches you the fundamentals of the Apache Spark open-source framework and Scala programming languages, such as Spark Streaming, Spark SQL, machine learning programming, GraphX programming, and Shell Scripting Spark. You will also comprehend Spark's role in overcoming MapReduce's limitations.The Apache Spark Training is designed to give you the knowledge and skills you need to become a successful Big Data & Spark Developer. This training will assist you in passing the CCA Spark and Hadoop Developer (CCA175) exam.

You will be familiar with the fundamentals of Big Data and Hadoop. You will discover how Spark enables in-memory data processing and outperforms Hadoop MapReduce. You will also learn about RDDs, Spark SQL for structured processing, and the various Spark APIs such as Spark Streaming and Spark MLlib. This Scala online course is an essential part of the career path of a Big Data Developer.


Who can Start:

    What will you learn in this Online Spark Training?

  • Scala and Apache Spark programming.
  • There is a distinction between Apache Spark and Hadoop.
  • Scala, as well as its programming implementation.
  • Putting Spark on a cluster.
  • Python, Java, and Scala are used to create Spark applications.
  • RDD and its operation, as well as Spark algorithm implementation.
  • Defining and elaborating on Spark streaming.
  • Scala classes are used to implement pattern matching.
  • Interoperability between Scala and Java, as well as other Scala operations.
  • Working on Scala projects that will run on Spark applications.

    • What prerequisites are there for this Spark course?

  • This Apache Spark and Scala certification training has no prerequisites.
  • Basic database, SQL, and query language knowledge, on the other hand, can aid in learning Spark and Scala.

    • Why should you take this Apache Spark training?

  • Apache Spark is a free and open-source computing framework that is 100 times faster than MapReduce.
  • Spark is an alternative data processing method that is distinct in batch processing and streaming.
  • This is a comprehensive Scala course for advanced implementation.
  • It assists you in preparing for the Cloudera Hadoop Developer and Spark Professional Certifications.
  • Improve your resume's professional credibility so that you can be hired quickly and for a high salary.

Skills Covered in MSBI Online Course:

  • Hadoop
  • Scala
  • Python
  • Java
  • MLlib
  • Clustering using K-means
  • Kafka
  • Flume
  • Hive
  • SQL Spark
  • Maven
  • Scala–Java
  • Cloudera
  • ZooKeeper

Certification of Spark with scale:

  • This course is intended to prepare students to pass the Apache Spark component of the Cloudera Spark and Hadoop Developer Certification (CCA175) exam.
  • Check out our Hadoop training course to learn how to pass the CCA175 exam's Hadoop component.
  • The entire course is designed by industry experts to help professionals land top jobs in the best organisations.
  • The entire training includes highly valuable real-world projects and case studies.
  • After completing the training, you will be given quizzes to help you prepare for and pass the CCA175 certification exam.
  • After successfully completing the project work and having it reviewed by experts, the Intellipaat certification is awarded.
  • The Intellipaat certification is recognised by some of the world's largest corporations, including Cisco, Cognizant, Mu Sigma, TCS, Genpact, Hexaware, Sony, and Ericsson.

Advantages of this Training:

  • Learn Apache Spark to improve your access to Big Data.
  • Spark Developers are in high demand across organisations.
  • You will earn a minimum of $100,000 with an Apache Spark with Scala certification.
  • Because Apache Spark is used by every industry to extract massive amounts of data, you will have the opportunity to work in a variety of industries.
  • It supports a variety of programming languages, including Java, R, Scala, and Python.
  • Spark is built on the Hadoop Distributed File System, which makes integration with Hadoop easier.
  • It enables faster and more accurate real-time processing of data streams.
  • Spark code can be used for batch processing, joining a stream to historical data, and running ad-hoc queries on stream statistics.

Industry Trends:

    1. Ideally suited for IoT implementation:

  • If your company is focusing on the Internet of Things, Spark's ability to handle multiple analytics tasks concurrently can help drive it.
  • This is accomplished through the use of well-developed ML libraries, advanced algorithms for graph analysis, and low-latency in-memory data processing.

    • 2. Aids in the optimization of business decisions:

    Spark can analyse low latency data transmitted by IoT sensors as continuous streams. Dashboards that capture and display data in real time can be created to investigate potential improvements.

    3. Complex Workflows Can Be Easily Created:

  • Spark has high-level libraries for analysing graphs, writing SQL queries, machine learning, and data streaming.
  • As a result, you can easily create complex big data analytical workflows with minimal coding.

    • 4. Making Prototyping Solutions Easier:

    As a Data Scientist, you can use Scala's programming ease and Spark's framework to create prototype solutions that provide illuminating insights into the analytical model.

    5. Aids in decentralised data processing:

  • In the coming decade, fog computing will gain traction and complement IoT to enable decentralised data processing.
  • By learning Spark, you can be ready for future technologies that require large amounts of distributed data to be analysed.
  • You can also create elegant IoT-powered applications to streamline business processes.

    • 6. Hadoop compatibility:

  • Spark can run on top of HDFS (Hadoop Distributed File System) to supplement Hadoop.
  • If your organisation already has a Hadoop cluster, there is no need to spend additional money on setting up Spark infrastructure.
  • Spark can be deployed on Hadoop's data and clusters in a cost-effective manner.

Spark has the following features:

  • Processing is lightning fast.
  • Support for Advanced Analytics.
  • Stream Processing in Real Time.
  • Integration with Hadoop and Existing Hadoop Data.
  • Community that is active and growing.

Career path:

  • The Apache spark career path is determined by the industry and organisation that uses or is transitioning to the spark framework.
  • Top companies such as Alibaba, Hitachi, and others are taking the spark seriously and focusing primarily on this framework.
  • The batch jobs are primarily used to process data that has been developed in spark, and large data sets are processed.
  • Spark developers are primarily hired by various sectors or industries such as retail, finance, telecommunication/networking, banking, software or IT, media and entertainment, consulting, healthcare, manufacturing, professional and technical services.
  • The data is primarily engaged in the spark framework, and stream processing necessitated adequate support.
  • There are already some really good opportunities available in the aforementioned industries, and in the future, it will only get better as a spark improves productivity, time, and effort.

Payscale:

1. There is a strong correlation between professionals who use Spark and Scala and salary changes.

2. Professionals with Apache Spark skills added $11,000 to the median or average salary, while the Scala programming language added $4000 to the bottom line of a professional's salary.

3. Apache Spark developers have been known to earn the highest average salary of any programmers who use ten of the most popular Hadoop development tools.

4. Real-time big data applications are becoming more popular, and enterprises are generating data at an unanticipated and rapid rate.

5. This is an excellent opportunity for professionals to learn Apache Spark online and help businesses advance in complex data analysis.

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Key Features

ACTE offers Apache Spark with Scala 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 with Scala Course in Houston

Module 1: Introduction

  • 1. Overview of Hadoop 
  • 2. Architecture of  HDFS  & YARN
  • 3. Overview of Spark version 2.2.0
  • 4. Spark Architecture
  • 5. Spark  Components 
  • 6. Comparison of  Spark &  Hadoop
  • 7. Installation of Spark v 2.2.0 on Linux 64 bit

Module 2: Spark Core

  • 1. Exploring the Spark shell 
  • 2. Creating Spark Context
  • 3. Operations on Resilient Distributed Dataset – RDD
  • 4. Transformations & Actions 
  • 5. Loading Data and Saving Data

Module 3: Spark SQL & Hive SQL

  • 1. Introduction to SQL  Operations
  • 2. SQL Context
  • 3. Data Frame
  • 4. Working with Hive
  • 5. Loading Partitioned Tables
  • 6. Processing  CSV, Json ,Parquet files

Module 4: Scala Programming

  • 1. Introduction to Scala
  • 2. Feature of Scala
  • 3. Scala vs Java Comparison
  • 4. Data types
  • 5. Data Structure
  • 6. Arrays
  • 7. Literals
  • 8. Logical Operators
  • 9. Mutable & Immutable variables
  • 10. Type interface

Module 5: Scala Functions

  • 1. Oops  vs Functions
  • 2. Anonymous 
  • 3. Recursive 
  • 4. Call-by-name
  • 5. Currying
  • 6. Conditional statement

Module 6: Scala Collections

  • 1. List
  • 2. Map
  • 3. Sets
  • 4. Options
  • 5. Tuples
  • 6. Mutable collection
  • 7. Immutable collection
  • 8. Iterating
  • 9. Filtering and counting 
  • 10. Group By
  • 11. Flat Map
  • 12. Word count
  • 13. File Access

Module 7: Scala Object Oriented Programming

  • 1. Classes ,Objects & Properties
  • 2. Inheritance

Module 8: Spark Submit

  • 1. Maven  build tool implementation
  • 2. Build Libraries
  • 3. Create  Jar files 
  • 4. Spark-Submit

Module 9: Spark Streaming

  • 1. Overview  of Spark Streaming
  • 2. Architecture of Spark Streaming 
  • 3. File streaming
  • 4. Twitter Streaming

Module 10: Kafka Streaming

  • 1. Overview  of Kafka Streaming
  • 2. Architecture of Kafka Streaming 
  • 3. Kafka Installation
  • 4. Topic
  • 5. Producer
  • 6. Consumer
  • 7. File streaming
  • 8. Twitter Streaming

Module 11: Spark Mlib

  • 1. Overview  of Machine Learning Algorithm
  • 2. Linear Regression
  • 3. Logistic Regression

Module 12: Spark GraphX

  • 1. GraphX overview
  • 2. Vertices
  • 3. Edges
  • 4. Triplets
  • 5. Page Rank
  • 6. Pregel

Module 13: Performance Tuning

  • 1. On-Off-heap memory tuning
  • 2. Kryo Serialization
  • 3. Broadcast Variable
  • 4. Accumulator Variable
  • 5. DAG Scheduler
  • 6. Data Locality
  • 7. Check Pointing
  • 8. Speculative Execution
  • 9. Garbage Collection

Module 14: Project Planning, Monitoring Trouble Shooting

  • 1. Master – Driver Node capacity
  • 2. Slave –   Worker Node capacity
  • 3. Executor capacity
  • 4. Executor core capacity
  • 5. Project scenario and execution
  • 6. Out-of-memory error handling
  • 7. Master logs, Worker logs, Driver  logs
  • 8. Monitoring Web UI 
  • 9. Heap memory dump
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Hands-on Real Time Apache Spark with Scala Projects

Project 1
Movie Recommendation project

Upon the completion of the project, you will gain experience in working with streaming data, sampling, testing and statistics.

Project 2
Data Exploration Using Spark SQL project

This project lets you work with Spark SQL. You will gain experience in working with Spark SQL for combining it with ETL applications, real-time analysis of data, performing batch analysis.

Our Top Hiring Partner for Placements

ACTE 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 with Scala training course content, we will arrange the interview calls to students & prepare them to F2F interaction
  • Apache Spark with Scala 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

Get Certified By Apache Spark with Scala & Industry Recognized ACTE Certificate

Acte Certification is Accredited by all major Global Companies around the world. We provide after completion of the theoretical and practical sessions to fresher's as well as corporate trainees.

Our certification at Acte is accredited worldwide. It increases the value of your resume and you can attain leading job posts with the help of this certification in leading MNC's of the world. The certification is only provided after successful completion of our training and practical based projects.

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 with Scala Trainer

  • Our Apache Spark with Scala Training in . 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 with Scala 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 with Scala training to the students.
  • We have received various prestigious awards for Apache Spark with Scala Training in from recognized IT organizations.

Apache Spark with Scala Course Reviews

Our ACTE 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.

Priya

Student

Best place to learn Apache Spark with Scala . I have done training from here. Nice experience.Gopal sirs teaching was awesome everyone can understand subject very easily compare from other institute faculties his teaching is very good. In ACTE institutes to learn Apache Spark with Scala technology I referred best to go for Gopal sirs class in ACTE Institute in Tambaram.

Balaji

Software Engineer

I have attended for Apache Spark with Scala training . Training was really good. ACTE Trainer Vinod explained the topics very much in details along with the real time example. Still I have zero knowledge on Apache Spark before starting the training I was able to understand the classes very well and now I am able to work on Apache Spark in real time

Venkat

Software Engineer

ACTE is best institute for Apache Spark with Scala training in Velachery. The faculty explains each and every module with real time scenarios. This is the best institute for Apache Spark with Scala. Thanks a lot…

Sowmiya

"I would like to recommend to the learners who wants to be an expert on Apache Spark with Scala just one place i.e., ACTE. After several research with several Training Institutes I ended up with ACTE. My Apache Spark with Scala trainer was so helpful in replying, solving the issues and Explanations are clean, clear, easy to understand the concepts and it is one of the Best Training Institute for Apache Spark with Scala Training"

Lawvanya

Software Testing

I joined in ACTE omr for Apache Spark with Scala course here without any basic knowledge on Big Data concepts.Now i can say this is the Best Apache Spark with Scala training institute in chennai. Here the trainers provide you complete knowledge on each course with Real- time scenarios, project, case studies, Interview questions and all possible ways to make you a successful Professional.

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Apache Spark with Scala 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 with Scala 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 with Scala Course At ACTE?

  • Apache Spark with Scala Course in ACTE is designed & conducted by Apache Spark with Scala experts with 10+ years of experience in the Apache Spark with Scala 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 with Scala batch to 5 or 6 members
Our courseware is designed to give a hands-on approach to the students in Apache Spark with Scala. 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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