Big Data Architect

Data forms are the base of every business campaign and the need for its occupants will grow significantly in the coming years. It's time to prepare for your future with interactive and comprehensive learning methods to master this ever-growing industry.

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Work with

Xebia

20 Weeks

Training Duration

8-10 Hrs

Live Virtual Classroom

100%

Placement Assistance

N/A

Overview

Data is the fuel running the enterprises in the digital world. Most enterprises are leveraging Big Data Architect Training for their business operations. Proficiency in Big Data Training will assure an important place in the future workforce.

The set of gathered large data that cannot be processed with traditional computing methods is known as Big Data. The Big Data Online Course comprises several techniques, tools, and frameworks. You can gain practical training about Big Data online course from Xebia Academy and enhance your skills in data engineering utilizing SQL, MongoDB including well-known components such as HDFS, Spark and Cloud Computing. Xebia Academy enables you to get complete knowledge on structured & unstructured Big Data sources for advanced analytics, artificial intelligence for predictive analytics.

During this course you will learn:

  • Basics Concepts of Big Data
  • Hadoop Ecosystem
  • Structured Data Analysis
  • Data processing and Data cleaning

Xebia Benefits

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8 Certification Layers

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Launchpad for your IT career

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Basic salary starting from 7lpa

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300+ hours of interactive learning in addition to live virtual sessions

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170+ hours of live mentorship

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Access to Xebia repository

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Real-world solution driven learning through Instruqt

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Virtual Labs for each module

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Extensive industry projects

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One-on-one mentorship and counselling

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Online analytics presence on GitHub

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Masterclass with CXOs

Curriculum

Best-in-class content by leading faculty and industry leaders in the form of videos, cases studies, projects, assignments and live sessions.

  • Introduction (1 Day)
    • Big Data Overview
    • Types of Vs.
    • Big Data challenges
    • Past to Future techniques
    • Real time scenarios
    • Demonstration of Big data challenge
    • Activity and Quiz
  • Hadoop Ecosystem Understanding (2 Days)
    • Hadoop technology for Big data
    • Hadoop Architecture (HDFS / YARN)
    • Assignment
    • Hadoop Ecosystem tools (In Brief)
    • Real time use cases with examples
    • Hadoop cluster Setup
  • Agile (1 Day)
    • Rise of Agile
    • Agile Practices
    • Agile Methodologies
    • Scrum & Agile
    • Agile Implementation
  • Github (1 Day)
    • Git
    • Github/Gitlab
    • Collaborators
    • Git Basic Commands
    • Branch, Merge & Rebase
  • Big Data Ingestion (3 Days)
    • Sqoop Setup And Use Cases
    • Flume Setup And Use Cases
    • Assignment
    • Kafka Architecture And Producers
    • Project
    • Spark Stream
    • Assignment and Quiz
  • Analyzing Structured Data (9 Days)
    • FILE FORMATS: Exploring different file formats. Textfile, Json, Avro, Parquet,OCR
    • Assignment and Quiz
    • What is Hive and how it works?
    • Hive metastore architecture
    • Hive2Server
    • Data Storage Overview
    • Creating Databases and Tables
    • Loading Data into Tables
    • HCatalog
    • How to Query Data using Hive
    • How Hive differ from a relational database
    • Ways in which organizations use Hive
    • How to Query Data using Hive
    • Writing different queries
    • Assessment and Quiz
    • Partitioning in Hive
    • Loading Data into a Partitioned Table
    • Viewing, Adding, and Removing Partitions
    • Assessment and Quiz
    • Impala Architecture
    • Impala setup
    • Writing Impala queries
    • Impala metadata refresh
    • Impala Vs. Hive
    • Functions
    • Assessment, Quiz and Project
  • Big Data Processing And Data Cleansing (2 Days)
    • What Is Processing?
    • Mapreduce
    • Spark Architecture And Setup
    • Assignment, Quiz and Project
  • Python (4 Days)
    • Introduction to Python and setup
    • Working with Variables
    • Working with collections
    • Flow control
    • Working with libraries and UDF Functions
    • Python Data structures
    • Working with Loops
    • Sequences and Sets
    • Options
    • Tuples and Maps
    • Higher Order Functions
  • Scala (1 Day)
    • Scala introduction
    • Objects and Classes
    • Access Modifiers
    • Abstract Classes & Traits
    • Singletons, factories &Builders
    • Functions
  • Spark (11 Days)
    • RDD overview
    • Working with RDDs in Spark
    • Aggregating Data with Pair RDDs
    • RDD Partitions
    • Partitioning of File-Based RDDs
    • Spark RDD Persistence
    • Distributed Persistence
    • Assessment and Quiz
    • Creating Dataframe
    • Dataframe schema inheritance
    • Assessment and Quiz
    • Writing Queries using Dataframe (Conditional statements, Grouping, Joins)
    • Assessment, Project and Quiz
    • Connecting to database using JDBC
    • Connecting and querying Hive metastore
    • Assessment
    • Datasets vs. Dataframes
    • Converting dataset to dataframe
    • Assessment and Quiz
    • Working With Spark Applications
    • Assignment
    • Spark Sql
    • Assignment, Quiz and Project
    • Introduction to Machine Learning
    • Machine learning Algorithms using Spark
    • Machine learning spark jobs using Python
    • Machine Learning Data Types and working with MLib
    • Assessment, Quiz and Project
    • Introduction to Spark streaming
    • Creating D streams
    • Applying Transformations and Actions on Streaming Data
    • Processing Distributed Log Files in Real Time
    • Discretized streams RDD
    • Assessment, Quiz and Project
  • Building Data Pipeline (5 Days)
    • Apache Kafka getting started
    • Use Cases and Architecture
    • Components of Kafka
    • Kafka setup
    • Broker
    • Working with Kaka
    • Creating Topics
    • Ingesting data into Kafka using producers
    • Working with Consumers and consumer groups
    • Assessment and Quiz
    • Partitions and rebalancing
    • Kafka Development
    • Schema management
    • Kafka streaming
    • Spark and Kafka integration using streaming
    • Apache NiFi
    • Kafka and Spark with NiFi

Prerequisite

Basic knowledge of SQL is required, and a prior coding experience will be an added benefit.

Skills you will learn in the course

The Fundamentals

The basic concepts of Big Data.

Hadoop Essentials

The Hadoop Ecosystem.

Data Analysis

Analysis of structured data

Data Processing

You’ll learn about data processing and data cleaning.

Building a Data Pipeline

You’ll learn how to build a data pipeline.

Functional Programming- Python & Scala

Work with libraries and UDF functions

Placement Assistance

Boost your Career with Xebia. Once you complete robust training in the latest tools and technologies, deserving candidates will also receive a Letter of Intent (LoI) assuring them of a placement at Xebia and in other reputed IT enterprises. You also earn industry-recognized course completion certificate.

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Language and Tools

Accelerate your career

We provide in-depth training in IT courses that promise high career prospects. Apart from providing experiential learning through Capstone projects and Hackathons, we also provide students the opportunity to learn-by-doing on our challenge-driven learning platform, INSTRUQT

Cloud Labs

A Challenge-driven learning platform, Instruct is a unique concept for IT-related learning in the challenge driven times of today. The program has been created to benefit both the beginner and those who are looking forward to upskilling their expertise. Instruct enables this by scaling efficiently in a cost-effective way with a fresh approach

  • Easy to Use Platform: Access from your browser, without the hassle of downloading the software.

  • Works with any Operating System: Linux, Windows, Google Cloud, AWS, it works with all.

  • Private and easy to launch Sandbox: Explore your technologies on the go with no disruptions.

Learn Now
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Career Expansion

  • The U.S. Bureau of Labor Statistics (BLS) anticipates data-related occupations will grow by 12 percent by 2028, creating over 546,200 new jobs in the same time period.

  • The revenues generated by BDA worldwide were $42 billion in 2018. In 2027, they’re projected to increase to $103 billion with a CAGR of 10.5% until then!

  • Moving to a cloud can improve a business’s agility (by 29%) and shorten payback times by 30%.

Career Path

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Salary

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Experiential learning

At Xebia Academy, we don’t believe in the concept of rot learning, but give our students first-hand experience of the subject they are pursuing. Our curriculum is designed in such a way that students experience what it is too work like an AI or Big Data or Full Stack professionals with assignments including Capstone Project, Hackathons, Networking Sessions with experts, Community Interaction & Blogs writing.

  • Capstone Project
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    Get independent Research Projects

    Engage in debates with peers

    Avail faculty Guidance and assistance

  • Hackathons
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    Get challenging Assignments

    Thrive in a Job-like environment for industry-ready development

    Get discovered by high-paying employers

  • Networking Sessions
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    Interact with Experts

    Get professional-growth tips

    Learn from the gurus of the field

  • Community Interactions
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    Get access to online IT community platforms

    Share knowledge through blogs and articles

    Be a part of IT discussion forums

How to become a proficient big data architect?

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Connect

Get in touch with our learning executive to find the schedule that fits you

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Enroll

Go through the enrolment process of Xebia Academy Global

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Train

Get trained by the exceptional trainers with a wide industry experience

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Placed

Get an LOI from Xebia Academy and full assistance in placements and internships

Our Alumini Work at

Learn the Xebia Way

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World Class Digital Content

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Live Virtual Classrooms

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LMS

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Hand on Lab

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Mentorship

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Assessment

FAQs

In order to apply for the program, you need to meet all of the following criteria. The applicant should have:

1. Should have either passed out or is in the last year of undergraduate degree like B.Tech./B.E./B.Sc./BCA or any other degree with adequate mathematics and computation components.

Yes, the program requires you to have enough prior coding experience, we will require you to pass an aptitude and programming test on C++ to go through the program.

The admissions process is completely online and is customised as per your educational and professional profile. Following are the key steps in the application process:

Step 1: You must apply for the program on Xebia Academy or HackerEarth website. The application form will capture information related to your educational and professional experience.

Step 2: Post application, the suitability of your profile will be evaluated. You will be required to appear for a 60-minute online entrance exam to test your programming aptitude.

Step 3: Shortlisted candidates will receive a provisional Letter of Intent. Final admission offers will be granted upon payment of the full program fee and successful submission of the required documents.

Though there is a general big data professional term used commonly, there are many big data careers that one can explore as per the capability and interest. These big data careers are as follows:

  • 1. Big Data Engineer
  • 2. Data Scientist
  • 3. Big Data Analyst
  • 4. Data Visualization Developer
  • 5. Machine Learning Engineer
  • 6. Business Intelligence Engineer
  • 7. Business Analytics Specialist
  • 8. Machine Learning Scientist

The certification is valid for a lifetime. You do not need to renew it.

The trainers at Xebia Academy Global are Certified Programming experts with an impressive experience and a passion for teaching.

The study material provided by Xebia Academy Global is comprehensive, up-to-date, and extremely helpful in your training.

Career Service

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One on One Mentoring

Get guidance from industry Experts and mentors who would help you identify the right opportunities, recognize your strengths, help you prepare for interviews, pitch yourself the right way, help in salary negotiations and land you in the right job.

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Individual Coaching Reports

Get individual coaching reports from time to time, to help you understand your progression in the course and know areas of improvement, where you can focus more.

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Career portal access for Job opportunities

This is an an exclusive career portal for Xebia students wherein you can apply for jobs suitable to your area of interest and qualification. This will help you find, prepare and apply for your dream job at the best IT organizations across the world.

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Live Interview Sessions

Gain insights into real interview sessions. Attend mock interviews to prepare for the real ones. Schedule these interviews and also get instant feedback that will help you get better at interview skills and give you the confidence to face real interviews and clear them with ease.

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