Master Big Data Analysis with Scala and Apache Spark Online Course

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Big Data Analysis with Scala and Apache Spark Course Overview

The Big Data Analysis with Scala and Apache Spark certification reflects competency in using Scala, a general-purpose programming language, and Apache Spark, an open-source distributed computing system, for analyzing vast quantities of data (Big Data). This combination is extensively used by industries to process large datasets, perform predictive analytics, and extract meaningful insights efficiently. Moreover, it offers data engineers and scientists the ability to handle complex analytics tasks. This certification emphasizes on proving the professionals' adeptness with Spark's Resilient Distributed Dataset (RDD) API and the libraries such as Spark SQL, MLlib for machine learning, GraphX for graph processing, among others.

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The 1-on-1 Advantage

Get 1-on-1 session with our expert trainers at a date & time of your convenience.
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Flexible Dates

Start your session at a date of your choice-weekend & evening slots included, and reschedule if necessary.
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4-Hour Sessions

Training never been so convenient- attend training sessions 4-hour long for easy learning.
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Destination Training

Attend trainings at some of the most loved cities such as Dubai, London, Delhi(India), Goa, Singapore, New York and Sydney.

You will learn:

Module 1: IntroducƟon to Big Data Analysis
  •        What is Big Data?
  •        Characteris cs of Big Data
  •        Importance of Big Data Analysis
  •        Overview of Scala and Spark
  •        Introduc on to Scala
  •        Installing Scala
  •        Scala Basics o Variables and Data Types o Control Structures o Func ons and Methods o Collec ons and Data Structures
  •        Overview of Apache Spark
  •        Spark Architecture
  •        Spark Components
  •        Introduc on to DataFrames
  •        Crea ng DataFrames
  •        Reading and Wri ng Data
  •        Transforma ons on DataFrames
  •        Ac ons on DataFrames
  •        Working with Columns and Func ons
  •        Filtering and Sor ng Data
  •        Introduc on to Spark SQL
  •        Working with SQL Queries
  •        DataFrame API vs. SQL
  •        Aggrega ons and Grouping
  •        Joins and Broadcast Joins
  •        Window Func ons
  •        Working with User-Defined Func ons (UDFs)
  •        Introduc on to Spark Streaming
  •        DStreams (Discre zed Streams)
  •        Streaming Transforma ons
  •        Windowed Opera ons
  •        Stateful Opera ons
  •        Integra ng Spark Streaming with other systems
  •        Introduc on to Spark MLlib
  •        ML Pipelines
  •        Data Prepara on and Feature Engineering
  •        Model Building and Evalua on
  •        Regression
  •        Classifica on
  •        Clustering
  •        Recommenda on Systems
  •        Introduc on to Graph Processing
  •        GraphX API
  •        Crea ng Graphs
  •        Graph Opera ons
  • Graph Algorithms
  •        Understanding Spark Performance
  •        Iden fying Performance Bo lenecks
  •        Data Paroning and Storage Formats
  •        Caching and Persistence
  •        Spark Configura on and Tuning
  •        Introduc on to Real-Time Processing
  •        Stream Processing with Spark Streaming
  •        Stream Processing with Structured Streaming
  •        Integra ng Spark with Apache Ka
  •        Handling Streaming Data with Spark
  •        Working with Spark on a Cluster
  •        Spark Ecosystem and Integra on with other Tools
  •        Spark and Hadoop Integra on
  •        Spark and Hive Integra on
  •        Spark and Cassandra Integra on
  •        Spark and Elas csearch Integra on
  •        Scala and Spark: Key Similari es and Differences
  •        Scala Collec ons and Spark RDDs
  •        Scala Higher-Order Func ons and Spark
  •        Working with Scala and Spark together in a Project
Live Online Training (Duration : 40 Hours)
We Offer :
  • 1-on-1 Public - Select your own start date. Other students can be merged.
  • 1-on-1 Private - Select your own start date. You will be the only student in the class.

2400 + If you accept merging of other students. Per Participant & excluding VAT/GST
4 Hours
8 Hours
Week Days
Weekend

Start Time : At any time

12 AM
12 PM

1-On-1 Training is Guaranteed to Run (GTR)
Group Training
1750 Per Participant & excluding VAT/GST
Online
02 - 06 Oct 09:00 AM - 05:00 PM CST
(8 Hours/Day)
Online
06 - 10 Nov 09:00 AM - 05:00 PM CST
(8 Hours/Day)
Big Data Analysis with Scala and Apache Spark
Course Prerequisites
- Good understanding of basics of Scala
- Basic knowledge of object-oriented programming
- Familiar with databases and their querying language, SQL
- Basic understanding of Apache Spark
- Familiarity with Hadoop and Big Data concepts
- Basic knowledge in data analysis and data processing.

Big Data Analysis with Scala and Apache Spark Certification Training Overview

Big Data Analysis with Scala and Apache Spark certification training equips students with key concepts of data analytics and processing. The course covers diverse topics like functional programming in Scala, the architecture of Spark, and Spark's RDDs. Students will also learn about Big Data Analysis with Spark SQL, Spark Streaming, machine learning programming, GraphX programming and methods to improve Spark performance. This training provides theoretical knowledge and practical skills to manage and analyze big data using Apache Spark and Scala.

Why Should You Learn Big Data Analysis with Scala and Apache Spark?

Learning Big Data Analysis with Scala and Apache Spark enhances your data processing and analytics skills. You gain proficiency in Scala programming, working with RDDs, implementing machine learning algorithms, understanding real-time processing with Spark Streaming, and managing large datasets with Spark SQL. It greatly broadens your career prospects in the field of big data analytics.

Target Audience for Big Data Analysis with Scala and Apache Spark Certification Training

- Data scientists looking to enhance their data processing skills.
- Software developers interested in big data analytics.
- Data analysts wanting to learn advanced data analysis techniques.
- IT professionals seeking knowledge in big data handling with Scala and Apache Spark.
- Students with fundamental programming background aiming to specialize in data analytics.

Why Choose Koenig for Big Data Analysis with Scala and Apache Spark Certification Training?

• Learn from a certified, industry-experienced instructor.
• Boost your career with globally recognized certification in Big Data Analysis.
• Customized training programs to suit your unique learning needs.
• Offers destination training for an immersive learning experience.
• Affordable pricing with convenient payment options.
• Regarded as a top training institute globally.
• Flexible date options to accommodate your schedule.
• Instructor-led online training for interactive learning.
• Access to a wide range of courses related to Big Data and related technologies.
• Accredited training ensures high-quality learning materials and course structure.

Big Data Analysis with Scala and Apache Spark Skills Measured

After completing Big Data Analysis with Scala and Apache Spark certification training, individuals can learn how to use Apache Spark's in-memory cluster computing system for data processing tasks, use Scala for scripting, manage and manipulate large data sets, and apply machine learning algorithms. They can also master the concepts of Resilient Distributed Dataset (RDD), DataFrames and DataSets in Spark, Spark SQL for structured data processing, and learn real-time data processing using Spark Streaming. They can develop problem-solving abilities and gain hands-on experience through projects.

Top Companies Hiring Big Data Analysis with Scala and Apache Spark Certified Professionals

Top tier companies such as IBM, Amazon, Microsoft, Capital One, and Oracle are actively hiring professionals certified in Big Data Analysis with Scala and Apache Spark. These companies recognize the crucial role that big data analysis plays in uncovering valuable insights for strategic decision-making, thus the high demand for such expertise.

Learning Objectives - What you will Learn in this Big Data Analysis with Scala and Apache Spark Course?

The main learning objectives of a Big Data Analysis with Scala and Apache Spark course would be to understand the fundamentals of both Scala programming language and Apache Spark framework and how they are used in the context of big data analytics. Students should learn how to use Scala for creating applications, get familiar with its syntax, and understand the functional programming model. They would also learn how to utilize Apache Spark for large-scale data processing and analysis, including manipulation and querying of data. Finally, they should be able to use these skills to solve real-world big data problems.

FAQ's

Yes, fee excludes local taxes.
Yes, we do.
Schedule for Group Training is decided by Koenig. Schedule for 1-on-1 is decided by you.
In 1 on 1 Public you can select your own schedule, other students can be merged. Choose 1-on-1 if published schedule doesn't meet your requirement. If you want a private session, opt for 1-on-1 Private.
Duration of Ultra-Fast Track is 50% of the duration of the Standard Track. Yes(course content is same).
1-on-1 Public - Select your start date. Other students can be merged. 1-on-1 Private - Select your start date. You will be the only student in the class.
Yes, course requiring practical include hands-on labs.
You can buy online from the page by clicking on "Buy Now". You can view alternate payment method on payment options page.
Yes, you can pay from the course page and flexi page.
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We use the best standards in Internet security. Any data retained is not shared with third parties.
You can request a refund if you do not wish to enroll in the course.
To receive an acknowledgment of your online payment, you should have a valid email address. At the point when you enter your name, Visa, and other data, you have the option of entering your email address. Would it be a good idea for you to decide to enter your email address, confirmation of your payment will be emailed to you.
After you submit your payment, you will land on the payment confirmation screen. It contains your payment confirmation message. You will likewise get a confirmation email after your transaction is submitted.
We do accept all major credit cards from Visa, Mastercard, American Express, and Discover.
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Yes, we do accept partial payments, you may use one payment method for part of the transaction and another payment method for other parts of the transaction.
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Yes, we do offer corporate training More details
Yes, we do.
Yes, we also offer weekend classes.
Yes, Koenig follows a BYOL(Bring Your Own Laptop) policy.
It is recommended but not mandatory. Being acquainted with the basic course material will enable you and the trainer to move at a desired pace during classes. You can access courseware for most vendors.
Yes, this is our official email address which we use if a recipient is not able to receive emails from our @koenig-solutions.com email address.
Buy-Now. Pay-Later option is available using credit card in USA and India only.
You will receive the letter of course attendance post training completion via learning enhancement tool after registration.
Yes you can.
Yes, we do. For details go to flexi
You can pay through debit/credit card or bank wire transfer.
Dubai, London, Sydney, Singapore, New York, Delhi, Goa, Bangalore, Chennai and Gurugram.
Yes you can request your customer experience manager for the same.
Yes of course. 100% refund if training not upto your satisfaction.

Prices & Payments

Yes of course.
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Travel and Visa

Yes we do after your registration for course.

Food and Beverages

Yes.

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