The Ultimate Hands-On Hadoop: Tame your Big Data!

The Ultimate Hands-On Hadoop: Tame your Big Data! - Data Engineering and Hadoop tutorial with MapReduce, HDFS, Spark, Flink, Hive, HBase, MongoDB, Cassandra, Kafka + more!

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Description

The world of Hadoop and "Big Data" can be intimidating - hundreds of different technologies with cryptic names form the Hadoop ecosystem. With this Hadoop tutorial, you'll not only understand what those systems are and how they fit together - but you'll go hands-on and learn how to use them to solve real business problems!

Learn and master the most popular data engineering technologies in this comprehensive course, taught by a former engineer and senior manager from Amazon and IMDb. We'll go way beyond Hadoop itself, and dive into all sorts of distributed systems you may need to integrate with.

Install and work with a real Hadoop installation right on your desktop with Hortonworks (now part of Cloudera) and the Ambari UI

Manage big data on a cluster with HDFS and MapReduce

Write programs to analyze data on Hadoop with Pig and Spark

Store and query your data with Sqoop, Hive, MySQL, HBase, Cassandra, MongoDB, Drill, Phoenix, and Presto

Design real-world systems using the Hadoop ecosystem

Learn how your cluster is managed with YARN, Mesos, Zookeeper, Oozie, Zeppelin, and Hue

Handle streaming data in real time with Kafka, Flume, Spark Streaming, Flink, and Storm

Spark and Hadoop developers are hugely valued at companies with large amounts of data; these are very marketable skills to learn.

Almost every large company you might want to work at uses Hadoop in some way, including Amazon, Ebay, Facebook, Google, LinkedIn, IBM,  Spotify, Twitter, and Yahoo! And it's not just technology companies that need Hadoop; even the New York Times uses Hadoop for processing images.

This course is comprehensive, covering over 25 different technologies in over 14 hours of video lectures. It's filled with hands-on activities and exercises, so you get some real experience in using Hadoop - it's not just theory.

You'll find a range of activities in this course for people at every level. If you're a project manager who just wants to learn the buzzwords, there are web UI's for many of the activities in the course that require no programming knowledge. If you're comfortable with command lines, we'll show you how to work with them too. And if you're a programmer, I'll challenge you with writing real scripts on a Hadoop system using Scala, Pig Latin, and Python.

You'll walk away from this course with a real, deep understanding of Hadoop and its associated distributed systems, and you can apply Hadoop to real-world problems. Plus a valuable completion certificate is waiting for you at the end! 

Please note the focus on this course is on application development, not Hadoop administration. Although you will pick up some administration skills along the way.

Knowing how to wrangle "big data" is an incredibly valuable skill for today's top tech employers. Don't be left behind - enroll now!

"The Ultimate Hands-On Hadoop... was a crucial discovery for me. I supplemented your course with a bunch of literature and conferences until I managed to land an interview. I can proudly say that I landed a job as a Big Data Engineer around a year after I started your course. Thanks so much for all the great content you have generated and the crystal clear explanations. " - Aldo Serrano

"I honestly wouldn’t be where I am now without this course. Frank makes the complex simple by helping you through the process every step of the way. Highly recommended and worth your time especially the Spark environment.   This course helped me achieve a far greater understanding of the environment and its capabilities.  Frank makes the complex simple by helping you through the process every step of the way. Highly recommended and worth your time especially the Spark environment." - Tyler Buck

Who this course is for:

• Software engineers and programmers who want to understand the larger Hadoop ecosystem, and use it to store, analyze, and vend "big data" at scale.
• Project, program, or product managers who want to understand the lingo and high-level architecture of Hadoop.
• Data analysts and database administrators who are curious about Hadoop and how it relates to their work.
• System architects who need to understand the components available in the Hadoop ecosystem, and how they fit together.

Big Data Engineering Bootcamp with GCP, and Azure Cloud

Big Data Engineering Bootcamp with GCP, and Azure Cloud  - Master Big Data with Hadoop, Spark, Kafka & Cloud | Build Real-World Projects & Scalable Data Pipelines from Scratch

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Description

Course Description

In today’s data-driven world, organizations are dealing with massive amounts of data generated every second. Big Data technologies have become essential for efficiently processing, storing, and analyzing this data to drive business insights. Whether you are a beginner, fresher, or an experienced professional looking to transition into Big Data Engineering, this course is designed to take you from zero to expert level with real-world, end-to-end projects.

This comprehensive Big Data Bootcamp will help you master the most in-demand technologies like Hadoop, Apache Spark, Kafka, Flink, and cloud platforms like AWS, Azure, and GCP. You will learn how to build scalable data pipelines, perform batch and real-time data processing, and work with distributed computing frameworks.

We will start from the basics, explaining the fundamental concepts of Big Data and its ecosystem, and gradually move toward advanced topics, ensuring you gain practical experience through hands-on projects.

What You Will Learn?

Big Data Foundations – Understand the 3Vs (Volume, Velocity, Variety) and how Big Data technologies solve real-world problems.

Data Engineering & Pipelines – Learn how to design ETL workflows, ingest data from multiple sources, transform it, and store it efficiently.

Big Data Processing – Gain expertise in batch processing with Apache Spark and real-time streaming with Kafka and Flink.

Cloud-Based Big Data Solutions – Deploy and manage Big Data solutions on  Azure, and GCP using services

End-to-End Projects – Work on industry-relevant projects, implementing scalable architectures, data pipelines, and analytics.

Performance Optimization – Understand best practices for optimizing Big Data workflows for efficiency and scalability.

Who is This Course For?

Beginners & Freshers – No prior experience needed. Start your journey in Big Data Engineering from scratch.

Software Developers – Expand your skills into Big Data technologies like Hadoop, Spark, and Kafka.

Data Analysts & Scientists – Work with large datasets, ETL pipelines, and real-time processing.

Cloud & DevOps Engineers – Learn how to deploy and manage Big Data applications in cloud environments.

IT Professionals – Transition into Big Data Engineering with hands-on experience and industry-relevant projects.

Prerequisites

Basic Computer Knowledge – No prior Big Data experience required.

Python or SQL (Optional) – Helps but is not mandatory.

Laptop with 8GB RAM & Internet Access – To run Big Data tools locally or on the cloud.

By the end of this course, you will be job-ready, equipped with practical skills, and confident in working with Big Data technologies used by top companies worldwide.

Enroll now and take your career to the next level with Big Data.

Who this course is for:

• Beginners & Freshers – Anyone new to Big Data who wants to start their career in data engineering, data science, or cloud computing.
• Software Developers – Developers looking to expand their skills into Big Data frameworks like Hadoop, Spark, and Kafka for scalable applications.
• Data Analysts & Data Scientists – Professionals who want to work with large datasets, ETL pipelines, and real-time processing in Big Data environments.
• Cloud & DevOps Engineers – Engineers who want to learn how to deploy and manage Big Data solutions on Azure, and GCP.
• Experienced Professionals – IT professionals looking to transition into Big Data Engineering and work on real-world projects with cutting-edge tools.

Master the Coding Interview: Data Structures + Algorithms

Master the Coding Interview: Data Structures + Algorithms

Ace your coding interview, get more job offers, negotiate a raise: Everything you need to get the job you want!

• BESTSELLER
• Created by Andrei Neagoie
•  English
•  English [Auto-generated]
• 18 hours on-demand video
• 40 articles
• Full lifetime access
• Access on mobile and TV
• Certificate of Completion

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What you'll learn

• Ace coding interviews given by some of the top tech companies
• Become more confident and prepared for your next coding interview
• Learn, implement, and use different Data Structures
• Learn, implement and use different Algorithms
• Get more interviews
• Professionally handle offers and negotiate raises
• Become a better developer by mastering computer science fundamentals

Description

Want to land a job at a great tech company like Google, Microsoft, Facebook, Netflix, Amazon, or other companies but you are intimidated by the interview process and the coding questions? Do you find yourself feeling like you get "stuck" every time you get asked a coding question? This course is your answer. Using the strategies, lessons, and exercises in this course, you will learn how to land offers from all sorts of companies.

Many developers who are "self taught", feel that one of the main disadvantages they face compared to college educated graduates in computer science is the fact that they don't have knowledge about algorithms, data structures and the notorious Big-O Notation. Get on the same level as someone with computer science degree by learning the fundamental building blocks of computer science which will give you a big boost during interviews. You will also get access to our private online chat community with thousands of developers online to help you get through the course.

Here is what you will learn in this course:

Technical:

1. Big O notation

2. Data structures: 

* Arrays

* Hash Tables

* Singly Linked Lists

* Doubly Linked Lists

* Queues

* Stacks

* Trees (BST, AVL Trees, Red Black Trees, Binary Heaps)

* Tries

* Graphs

3. Algorithms: 

* Recursion

* Sorting

* Searching

* Tree Traversal

* Breadth First Search

* Depth First Search

* Dynamic Programming

Non Technical:

- How to get more interviews

- What to do during interviews

- What do do after the interview

- How to answer interview questions

- How to handle offers

- How to negotiate your salary

- How to get a raise

Unlike most instructors, I am not a marketer or a salesperson. I am a senior developer and programmer who has worked and managed teams of engineers and have been in these interviews both as an interviewee as well as the interviewer.

My job as an instructor will be successful if I am able to help you become better at interviewing and land more jobs. This one skill can really change the course of your career and I hope you sign up today to see what it can do for your career!

Taught by: 

Andrei is the instructor of the highest rated Web Development course on Udemy as well as one of the fastest growing. His graduates have moved on to work for some of the biggest tech companies around the world like Apple, Google, JP Morgan, IBM, etc... He has been working as a senior software developer in Silicon Valley and Toronto for many years, and is now taking all that he has learned, to teach programming skills and to help you discover the amazing career opportunities that being a developer allows in life. 

Having been a self taught programmer, he understands that there is an overwhelming number of online courses, tutorials and books that are overly verbose and inadequate at teaching proper skills. Most people feel paralyzed and don't know where to start when learning a complex subject matter, or even worse, most people don't have $20,000 to spend on a coding bootcamp. Programming skills should be affordable and open to all. An education material should teach real life skills that are current and they should not waste a student's valuable time.   Having learned important lessons from working for Fortune 500 companies, tech startups, to even founding his own business, he is now dedicating 100% of his time to teaching others valuable software development skills in order to take control of their life and work in an exciting industry with infinite possibilities. 

Andrei promises you that there are no other courses out there as comprehensive and as well explained. He believes that in order to learn anything of value, you need to start with the foundation and develop the roots of the tree. Only from there will you be able to learn concepts and specific skills(leaves) that connect to the foundation. Learning becomes exponential when structured in this way. 

Taking his experience in educational psychology and coding, Andrei's courses will take you on an understanding of complex subjects that you never thought would be possible.  

See you inside the courses!

Who is the target audience?

• Any engineer, developer, programmer, who wants to improve their interviewing skills
• Anyone interested in improving their whiteboard coding skills
• Anyone who wants to become a better developer
• Any self taught programmer who missed out on a computer science degree

Big Data, Hadoop & Apache Spark: Analytics, Pig & MapReduce

Big Data, Hadoop & Apache Spark: Analytics, Pig & MapReduce, Big Data Databases Analytics With Hadoop & Apache Spark: Programming, Pig, MySQL & MapReduce For Developers

• Created by Infinite Knowledge
•  English
•  English [Auto-generated]
• 4.5 hours on-demand video
• Full lifetime access
• Access on mobile and TV
• Certificate of Completion

Preview This Course - GET COUPON CODE

What you'll learn

• Design distributed systems of Big data
• Reutilizing Of The Hadoop Framework Comfortably
• Relational Development Based On SQL Performances
• Hadoop Analytical Applications System Design
• Creating Hadoop Analytical Queries’(HDFS)
• Nesting Big Data Using Map Reduce
• Managing Clustering Of Data Using Sparks Comfortably(YARN)
• Learn How To Create The Running Query To Ensure Flow Part Of The Equation
• Configuring Pig Analysis Based On Nosql Schema
• Creating, Dropping And Understanding Hadoop Big Data Databases
• Constructing Analytical Ooze Hadoop Queries (Oozie)
• Arithmetic Concept Of Designing
• Mapreduce Analysis Using Different Tool
• Development Of Big Data Analysis Codes
• Schematic Archiving Big Data Systems (Streaming)
• Analysis Relational Data
• Hadoop Software Connectivity And Compatibility To The System(Pigs)
• Analytical Hadoop System Interface Feature Design (Social Networks)
• Publication Of Big Data To Your Hadoop Cluster Applications
• Performing Big Data Mapreduce Operations On Web Application
• Algorithms Website Structures

Description

Big data is data sets that are so voluminous and complex that traditional data processing application software are inadequate to deal with them. There are five dimensions to big data known as Volume, Variety, Velocity and the recently added Veracity and Value. Analysis of data sets can find new correlations to spot business trends, prevent diseases, combat crime and so on, but if you don’t master business intelligence, you will miss the opportunity to give value to businesses.

What if you could change that?

My complete Big Data course will show you the exact techniques and strategies you need to design systems that manage big data, create scripts to process data, frame big data analysis problems and develop codes in Scala. 

You will get over 4 hours of video lectures and the freedom to ask me any questions regarding the course as you go through it. :)

What Is In This Course?

Your Big Data Skills Will Be Much Easier.

Except if you’re an expert at Big Data, reutilizing of the Hadoop framework comfortably, nesting big data using map reduce, configure Pig analysis based on NoSQL schema, do development of big data analysis codes, analyze relational data and perform Big data MapReduce operations on web application, you are going to lose many job/career opportunities or even miss working with big data.

As what Atul Butte, a biotechnology entrepreneur in Silicon Valley, says “Hiding within those mounds of data is knowledge that could change the life of a patient, or change the world.”

You can try it with no financial risk.

In This Big Data Training, You'll Learn:

• Design distributed systems of Big data
• Reutilizing of the Hadoop framework comfortably
• Relational development based on SQL performances
• Hadoop analytical applications system design
• Creating Hadoop analytical queries’(HDFS)
• Nesting big data using map reduce   
• Managing clustering of data using sparks comfortably(YARN)
• learn how to create the running query to ensure flow part of the equation
• Configuring Pig analysis based on NoSQL schema
• Creating, dropping and Understanding Hadoop big data databases
• Constructing analytical Ooze Hadoop queries (Oozie)
• Arithmetic concept of designing
• MapReduce analysis using different tool
• Development of big data analysis codes
• Schematic archiving Big data systems (streaming)
• Analysis relational data
• Hadoop software connectivity and compatibility to the system(pigs)
• Analytical Hadoop system interface feature design (social networks)
• Publication of big data to your Hadoop cluster applications
• Performing Big data MapReduce operations on web application
• Algorithms website structures

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Is This For You?

Do you want to design systems that manage big data?

Are you afraid of looking at big data?

Do you think you will feel proud creating scripts to process data?

Then this course will definitely help you.

This course is essential to all software engineers, programmers, Data analysts, database administrators and anyone looking to become great at big data.

I will show you precisely what to do to solve these situations with simple and easy techniques that anyone can apply.

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Why To Master Big Data?

Let Me Show You Why To Master Big Data:

1. You will design systems that manage big data.

2. You will create scripts to process data.

3. You will frame big data analysis problems.

4. You will develop codes in Scala. 

 Thank you so much for taking the time to check out my course. You can be sure you're going to absolutely love it, and I can't wait to share my knowledge and experience with you inside it! 

Why wait any longer?

Click the "Buy Now" button, and take my course 100% risk free now!

Who is the target audience?

• All Software Engineers, Programmers, Data Analysts, Database Administrators
• Anyone Looking To Become Great At Big Data
• This Is Not For People Looking For Lazy Ways To Master Excel Macros