Apache Spark with Scala Certification in Los Angeles | Online Course
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Apache Spark with Scala Training in Los Angeles

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  • 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
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  • 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.
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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 Los Angeles

Advance your mastery of the Big Data Hadoop Ecosystem with ACTE Apache Scala and Spark online Training in Los Angeles. This Spark path will help you may acquire crucially, in-name Apache Spark talents and enlarge a competitive advantage for an exciting career as a Spark Developer. This Spark certification Training permits you to understand the critical talents of the Apache Spark open-deliver framework and Scala programming language, collectively with Spark Streaming, Spark SQL, machine reading programming, GraphX programming, and Shell Scripting Spark. You may even understand the characteristic of Spark in overcoming the limitations of MapReduce.

Additional Info

Apache Spark with Scala:

Spark and Scala Course Curriculum:


Apache Spark with Scala certification Training in the Los Angeles path is ideal for professionals aspiring for a career withinside the situation of real-time massive statistics analytics, analytics professionals, research professionals, IT developers and testers, statistics scientists, BI, and reporting professionals, and college students who want to advantage from in-depth know-how of Apache Spark.


Those wishing to take the Apache Spark certification Training path have to have important statistics of any programming language and easy know-how of any database, SQL, and query language for databases. Working statistics of Linux- or Unix-based systems is also beneficial.

What Are Apache Spark and Scala All About ?

Apache Spark with Scala is changing the way businesses make educated market-oriented decisions, develop strategies that target the most promising customer categories, and stay protected from market whims and economic volatility. These skills are influenced by the valuable resource of mining data that is trapped in huge data volumes created online or from extremely related assets. The Apache Spark interface can safely process large amounts of data. Spark not only makes programming for statistics clusters easier, but it also has the right fault tolerance and statistics parallelism. This method that massive datasets can be processed directly with the useful resource of the use of this open delivery platform. Apache Spark has a place over Hadoop in terms of better and complex talents in statistics dealing with, storing, assessing, and retrieving fronts. Spark framework comes blanketed with modules for ML (Machine Learning), real-time statistics streaming, textual and batch statistics, graphics, etc., which makes it quality for one-of-a-type employer verticals.

Scala or Scalable Language is a general-motive object-oriented language with which Spark is written for assisting cluster computing. Scala offers useful resources with immutability, type interference, lazy assessment, pattern matching, and exceptional features. Features absent in Java which consist of operator overloading, named parameters, no checked exceptions, etc. are also supplied with the useful resource of the use of Scala.

Career Path Of Apache Spark Online Training :

    1. Objective – Spark Careers:

    As all people know, massive statistics analytics have a glowing new face, Apache Spark. Spark’s significance and percent are continuously developing all through organizations. Hence, there are sufficient expert opportunities in spark. In this blog “Apache Spark Careers Opportunity: A Quick Guide” we will communicate the identical. We may even communicate a few names of top agencies which can be using a spark. We will moreover communicate the system titles for that era.

    2. Apache Spark Careers Opportunity:

    In the whole world, Developers are leveraging the Spark framework in one-of-a-type languages. Such as Scala, Java, and Python. Apache Spark offers the power to run applications in their favorite languages. Also allows building new apps faster. Around the globe, some massive organizations have taken spark very seriously. Some well-known agencies like Amazon, Yahoo, Alibaba, eBay, Hitachi, Shopify, and lots more. They have invested in abilities around Spark. There are some ratios, in which jobs are available, which consist of withinside the batch processing of massive statistics sets, 78% of them are engaged. Also, for event flow into processing 60% is required as a useful resource. Similarly, for fast, real-time statistics querying, around 56% are there. Moreover, at enhancing programming productivity 55% are aiming. Furthermore, there are some massive opportunities all through employer segments, that includes.

  • Telecommunication/Networking
  • Banking and Finance
  • Retail
  • Software
  • Media and Entertainment
  • Consulting
  • Healthcare
  • Manufacturing
  • IT
  • Professional medical and technical services

3. Top Companies Using Spark:

Apache Spark is considered as a 3G for the Big Data world. It offers an in-memory statistics processing detail that attends to real-time and batch actions. Moreover, it gives a flavor for the cloud employer with or without Hadoop.

4. Prerequisites to study Spark:

There's handiest one desires to advantage expertise in working with Spark machine. That one wishes is to understand easy programming language concepts. Moreover, you need to have easy insights into Java programming.

5. Benefits of Learning Spark:

Recently, in each sector, there is a strong desire to have a technical workforce. There's a massive name for expert professionals. Since there are surplus massive statistics jobs withinside the market.

The following are the top nine advantages of taking an Apache Spark and Scala certification course:

    The data era offers remarkable scope if you want to scale new heights in your career. Also, as part of an employer, if you are strategizing on cornering your place of the hobby market, you need to get focused insights into how the market is changing. With Apache Spark and Scala Training, you can become proficient in reading patterns and making conclusive fact-driven assumptions. There are many incentives for reading this framework-language mixture as an aspirant or with the useful resource of the use of exposing your employer’s decision on employees to this.

  • Ideal for Implementing IoT:
  • If your organization is concentrating on the Internet of Things, Spark might put a strain on it because of its capacity to handle several analytics tasks at once. This is accomplished via high-performance ML libraries, sophisticated graph reading algorithms, and low-latency in-memory statistics processing.

  • Helps in Optimizing Business Decision Making:
  • Low latency statistics transmitted with the useful resource of the use of IoT sensors can be analyzed as non-prevent streams with the useful resource of the use of Spark. Dashboards that capture and display statistics in real-time can be created for exploring improvement avenues.

  • Complex Workflows Can Be Created with Ease:
  • Spark has dedicated high-degree libraries for reading graphs, developing queries in SQL, ML, and statistics streaming. As such, you can create complex massive statistics-analytical workflows efficiently thru minimal coding.

  • Prototyping Solutions Becomes Easier:
  • In the imminent decade, Fog computing may advantage steam and will complement IoT to facilitate de-centralized processing of statistics. By reading Spark, you can live prepared for the upcoming era wherein massive volumes of allotted statistics will need to be analyzed. You can also devise elegant IoT-driven applications to streamline employer functions.

  • Helps in De-Centralized Processing of Data:
  • As a Data Scientist, you may use Scala's programming simplicity and Spark's architecture to create prototype solutions that reveal new information about the analytical model.

  • Compatibility with Hadoop:
  • Spark may be used in conjunction with Hadoop and can run on top of HDFS (Hadoop Distributed File System). If the Hadoop cluster is already in place, your business does not want to invest any additional money on deploying nearby Spark equipment. Spark may be implemented on Hadoop's statistics and cluster at a low cost.

  • Versatile Framework:
  • Spark is well-matched with more than one programming language which consists of R, Java, Python, etc. This method that Spark can be used for building Agile applications without issues with minimal coding. The Spark and Scala online community can be very colorful with numerous programmers contributing to it. You can get all the required assets from the community for the use of your plans.

  • Faster Than Hadoop:
  • If your employer is searching to decorate statistics processing speeds for making faster decisions, Spark can genuinely offer a first-rate place. Data is cyclically processed in Spark and the execution engine shares statistics in memory. Support for Directed Acyclic Graph (DAG) mechanism allows Spark engine to method simultaneous jobs with the identical datasets. Data is processed with the useful resource of the use of the Spark engine 100x quicker compared to Hadoop MapReduce.

  • Proficiency Enhancer:
  • If you take a look at Spark and Scala, you can become proficient in leveraging the strength of numerous statistics structures as Spark can gaining access to Tachyon, Hive, HBase, Hadoop, Cassandra, and others. Spark can be deployed over YARN or some other allotted framework similarly to on a standalone server.

How Scala is utilized in Spark?

    Scala can help you add new operations to modern commands with the help of implicit commands. One of the blessings of Scala is that it makes it very easy to have interact with Java code. You can also write a Java code inner the Scala class. The Scala facilitates advanced detail architectures thru commands and traits.

  • Scala is a useful language
  • Scala is a programming language that has applied principal useful programming concepts.
  • In Functional programming, each computation is dealt with as a mathematical feature that avoids states and mutable information.

The useful programming famous following characteristics:
  • Power and flexibility
  • Simplicity
  • Suitable for parallel processing.

Salary Of Apache Spark with Scala Certification Online Training in Los Angeles:

There are some, not unusualplace sales structures for “massive statistics engineers”. They approximately range from $108,803 in line with one year for the Developer to $143,771 in line with one year for a senior engineer. Also, the not unusualplace sales for massive statistics professionals are ready at $ 114,000 in line with the annum. This is ready 98 better than not unusualplace salaries for all system postings nationwide. The above-stated sales facts come from 32,336 statistics points. It is straight away accumulated from employees and present system advertisements on indeed. In addition, from Glassdoor, the median sales for massive statistics expertise are $ 104,850 in line with the annum. Also, the sales of statistics scientists are anticipated to be approximately $115,000. Moreover, in keeping with Forbes, the median sales for massive statistics professionals are $ 124,000 in line with one year.

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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.



Syllabus of Apache Spark with Scala Course in Los Angeles

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.

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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.



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.


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


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…


"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"


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

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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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