Hadoop Developer with Spark Certification Training Course: CCA175

Download Course Contents

Hadoop Developer with Spark Course Overview

Hadoop Developer with Spark certification will let students create robust data processing applications using Apache Hadoop. After completing this course, students will be able to comprehend workflow execution and working with APIs by executing joins and writing MapReduce code. This course will offer the most excellent practice environment for the real-world issues faced by Hadoop developers. With Big Data being the buzzword, Hadoop certification and skills are being sought by companies across the globe. Big Data Analytics is a priority for many large organizations, and it helps them improve performance. Therefore, professionals with Big Data Hadoop expertise are required by the industry at large.

Hadoop Developer with Spark are among the world's most in-demand and highly compensated technical roles. According to a McKinsey report, US alone will deal with shortage of nearly 190,000 data scientists and 1.5 million data analysts and Big Data managers by 2018.

Who should do this course?

This Hadoop training is best suited for

  • Developers
  • Engineers
  • Security Officers
  • Any professional who has programming experience with basic familiarity of SQL and Linux commands.

Course Objectives

  • The Hadoop certification will help you learn how to distribute, store, and process data in a Hadoop cluster
  • After completing this course, you can easily write, configure, and deploy Apache Spark applications on a Hadoop cluster
  • Learn how to use the Spark shell for interactive data analysis
  • Use Spark Streaming to process a live data stream
  • Find out ways to process and query structured data using Spark SQL
  • This Hadoop course will help you use Flume and Kafka to ingest data for Spark Streaming.

This is a Rare Course and it can be take up to 3 weeks to arrange the training.

  • 1. Do you have limited Window for training?
  • 2. Can you only spend 4-hours per day?
  • 3. Do you want to start training immediately?
  • If your answer is yes to any one of the above, you need 1-on-1- Training
The 1-on-1 Advantage
Methodology
Flexible Dates
4-Hour Sessions
  • View video
  • The course will be free if we are not able to start within 7 days of booking.
  • Only applicable for courses on which this logo appears.

You will learn:

Module 1: Introduction to Apache Hadoop and the Hadoop Ecosystem
  • Apache Hadoop Overview
  • Data Ingestion and Storage
  • Data Processing
  • Data Analysis and Exploration
  • Other Ecosystem Tools
  • Introduction to the Hands-On Exercises
  • Apache Hadoop Cluster Components
  • HDFS Architecture
  • Using HDFS
  • What is Apache Spark?
  • Starting the Spark Shell
  • Using the Spark Shell
  • Getting Started with Datasets and DataFrames
  • DataFrame Operations
  • Creating DataFrames from Data Sources
  • Saving DataFrames to Data Sources
  • DataFrame Schemas
  • Eager and Lazy Execution
  • Querying DataFrames Using Column Expressions
  • Grouping and Aggregation Queries
  • Joining DataFrames
  • RDD Overview
  • RDD Data Sources
  • Creating and Saving RDDs
  • RDD Operations
  • Writing and Passing Transformation Functions
  • Transformation Execution
  • Converting Between RDDs and DataFrames
  • Key-Value Pair RDDs
  • Map-Reduce
  • Other Pair RDD Operations
  • Querying Tables in Spark Using SQL
  • Querying Files and Views
  • The Catalog API
  • Comparing Spark SQL, Apache Impala, and Apache Hive-on-Spark
  • Datasets and DataFrames
  • Creating Datasets
  • Loading and Saving Datasets
  • Dataset Operations
  • Writing a Spark Application
  • Building and Running an Application
  • Application Deployment Mode
  • The Spark Application Web UI
  • Configuring Application Properties
  • Review: Apache Spark on a Cluster
  • RDD Partitions
  • Example: Partitioning in Queries
  • Stages and Tasks
  • Job Execution Planning
  • Example: Catalyst Execution Plan
  • Example: RDD Execution Plan
  • DataFrame and Dataset Persistence
  • Persistence Storage Levels
  • Viewing Persisted RDDs
  • Common Apache Spark Use Cases
  • Iterative Algorithms in Apache Spark
  • Machine Learning
  • Example: k-means
  • Apache Spark Streaming Overview
  • Example: Streaming Request Count
  • DStreams
  • Developing Streaming Applications
  • Multi-Batch Operations
  • Time Slicing
  • State Operations
  • Sliding Window Operations
  • Preview: Structured Streaming
  • Streaming Data Source Overview
  • Apache Flume and Apache Kafka Data Sources
  • Example: Using a Kafka Direct Data Source
Live Online Training (Duration : 32 Hours) Fee On Request
Group Training Incl. Official Courseware
11 Jul - 14 Jul 09:00 AM - 05:00 PM CST
(8 Hours/Day)
01 Aug - 04 Aug 09:00 AM - 05:00 PM CST
(8 Hours/Day)
1-on-1 Public 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.
Incl. Official Courseware
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)
Classroom Training (Available: London, Dubai, India, Sydney, Vancouver)
Duration : On Request
Fee : On Request
On Request
Physical Classroom Training with 4 hours /8 hours option is available. Enquire Now!
Ultra-Fast Track

If you can't spare 32 hours. We can offer you an Ultra-Fast Track for 16 hours

Course Prerequisites

This course is best suited to developers and engineers who have programming experience. Knowledge of Java is strongly recommended and is required to complete the hands-on exercises.

Few of the benefits of doing a Hadoop Developer certification include:

  • Data Analytics – There is an avalanche of unorganized data that companies can decipher and leverage it to make timely business improvements. The advent of big data and cloud computing has made courses like Hadoop Developer with Spark training quite relevant considering the growing need of data analytics.
  • Seamless Integration – Apache Spark is designed to run on Hadoop Distributed File System. This seamless integration with Hadoop reduces the learning curve as anyone who is already familiar with Hadoop can quickly learn Spark.
  • Mass Adoption – A survey of 1200 professionals conducted by DNV GL reported that companies which adopted Big Data observed a 23% increase in efficiency, 16% observed better decision making and 11% reported financial savings. IT professionals who do a Hadoop Developer with Spark training certification therefore are at an advantage when it comes to job prospects.

Give an edge to your career with Cloudera certification training courses. Students can join the classes for Hadoop Developer with Spark certification training course at Koenig Campus located at New Delhi, Bengaluru, Shimla, Goa, Dehradun, Dubai & Instructor-Led Online.

Request More Information

Add Name and Email Address of participant (If different from you)

FAQ's


Yes, we do.
The Fee includes:
  • Official courseware
  • Testing Via Qubits
Yes, Koenig Solutions is a Cloudera Learning Partner
Schedule for Group Training is decided by Koenig. Schedule for 1-on-1 is decided by you.
In 1-on-1 you can select your own schedule, other students can be merged but you select the schedule. Choose 1-on-1 if published schedule do not meet your requirement. If you also want a private session, opt for 1-on-1 Public.
Yes.
No, it is not included.
Hadoop is an open source, Java-based programming framework that supports the processing and storage of large data sets in a distributed computing environment. It can quite easily expand from single servers to thousands of machines, each providing computation and storage.
Apache Spark is a fast, in-memory data processing engine with elegant and expressive development APIs. Spark can efficiently execute streaming, machine learning or SQL workloads that require fast iterative access to datasets. Data Scientists commonly use machine learning to decipher large and complex unorganized data and Spark can help them in their need for iterative data processing.
Rescheduling requests should come in at least 24 hours prior to your scheduled appointment. Rescheduling less than 24 hours prior to your appointment will result in forfeiture of your exam fees. All exams are non-refundable and non-transferable. All exam purchases are valid for one year from date of purchase.
Your job prospect will improve on the successful completion of the Hadoop Developer certification. There is a huge demand for Big Data and Data Analytics professionals in the industry and the remuneration they get is also good.
There are no prerequisites for taking this certification. However, this course is best suited for developers and engineers who have prior programming experience. Knowledge of Java is also strongly recommended.
A score report will be emailed to you after you take the exam, typically within a few hours of taking the exam. If you end up successfully clearing the exam, you will receive your digital certificate in three days.
If you pass the exam a certificate in PDF format will be e-mailed to you.
Candidates who are not able to pass the exam must wait for a period of thirty calendar days, beginning the day after the failed attempt, before they may retake the same exam.
In both, you choose the schedule. In public, other participants can join, Private other participants want to join.
Yes, the site is secure by utilizing Secure Sockets Layer (SSL) Technology. SSL technology enables the encryption of sensitive information during online transactions. We use the highest assurance SSL/TLS certificate, which ensures that no unauthorized person can get to your sensitive payment data over the web.
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.
Credit card transactions normally take 48 hours to settle. Approval is given right away; however, it takes 48 hours for the money to be moved.
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.
Yes, if we have an office in your city.
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 digital certificate 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, Goa, Delhi, Bangalore.
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.
Yes, We are

Travel and Visa

Yes we do after your registration for course.

Food and Beverages

Yes.

Others

Says our CEO-
“It is an interesting story and dates back half a century. My father started a manufacturing business in India in the 1960's for import substitute electromechanical components such as microswitches. German and Japanese goods were held in high esteem so he named his company Essen Deinki (Essen is a well known industrial town in Germany and Deinki is Japanese for electric company). His products were very good quality and the fact that they sounded German and Japanese also helped. He did quite well. In 1970s he branched out into electronic products and again looked for a German name. This time he chose Koenig, and Koenig Electronics was born. In 1990s after graduating from college I was looking for a name for my company and Koenig Solutions sounded just right. Initially we had marketed under the brand of Digital Equipment Corporation but DEC went out of business and we switched to the Koenig name. Koenig is difficult to pronounce and marketeers said it is not a good choice for a B2C brand. But it has proven lucky for us.” – Says Rohit Aggarwal (Founder and CEO - Koenig Solutions)
All our trainers are fluent in English . Majority of our customers are from outside India and our trainers speak in a neutral accent which is easily understandable by students from all nationalities. Our money back guarantee also stands for accent of the trainer.
Medical services in India are at par with the world and are a fraction of costs in Europe and USA. A number of our students have scheduled cosmetic, dental and ocular procedures during their stay in India. We can provide advice about this, on request.
Yes, if you send 4 participants, we can offer an exclusive training for them which can be started from Any Date™ suitable for you.