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Career opportunities in open source framework

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Hadoop/Spark Webinar
Career Opportunities in Open Source Framework

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Know your Trainer
www.edunextgen.com 2©2018 EduNextgen

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Webinar Objective
What is Open Source Framework?
Open Source Framework Example
Difference from other types of Framework?
I...

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Career opportunities in open source framework

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EduNextgen extended arm of Product Innovation Academy is a growing entity in education and career transformation, specializing in today’s most in-demand skills. A platform with blended learning programs supported by in-trend technology platforms for learning. Engaging organizations for learning development objectives. Training courses are designed and updated by renowned industry experts. Our blended learning approach combines online classes, instructor-led live virtual classrooms and virtual teaching assistance.

EduNextgen extended arm of Product Innovation Academy is a growing entity in education and career transformation, specializing in today’s most in-demand skills. A platform with blended learning programs supported by in-trend technology platforms for learning. Engaging organizations for learning development objectives. Training courses are designed and updated by renowned industry experts. Our blended learning approach combines online classes, instructor-led live virtual classrooms and virtual teaching assistance.

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Career opportunities in open source framework

  1. 1. Hadoop/Spark Webinar Career Opportunities in Open Source Framework
  2. 2. Know your Trainer www.edunextgen.com 2©2018 EduNextgen
  3. 3. Webinar Objective What is Open Source Framework? Open Source Framework Example Difference from other types of Framework? Importance of open source framework What is Big Data? Deep understanding of Hadoop and Spark framework Job Analysis on Hadoop and Spark www.edunextgen.com 3©2018 EduNextgen
  4. 4. What is Open Source Framework? The term “Open Source" refers to something people can modify and share because its design is publicly accessible Code Available publicly, so source code that anyone can inspect, modify, and enhance www.edunextgen.com 4©2018 EduNextgen
  5. 5. Open Source Framework Example www.edunextgen.com 5©2018 EduNextgen
  6. 6. Difference from other types of Framework Open Source Framework: Source code available publicly Redistribute solutions Can use in any way Eliminates single point of failure Democratic forum for action No vendor lock-in No guarantee for development will continue Intellectual property (algorithms) Support consistency www.edunextgen.com 6 Proprietary Software: Predictable releases Entity to hold responsible for bugs, errors and updates Consistent feature development More stable framework More consistent training options Easier access to support Single company releasing patches Costs will be Higher for start-up Vendor will have owns software ©2018 EduNextgen
  7. 7. Importance of open source framework Control: People have more control. As per requirement can be change and modify as well. Experiment can be possible and what ever suitable for the requirement can be implement. Training: Open source code is publicly accessible, students can easily study it as they learn to make better software. It help to develop the skill. Security: More secure and stable, because anyone can view and modify, someone might spot and correct errors or omissions that a program's original authors might have missed. Stability: It can be possible to develop long-term projects. Because programmers publicly distribute the source code for open source software, users relying on that software for critical tasks can be sure their tools won't disappear or fall into disrepair if their original creators stop working on them. www.edunextgen.com 7©2018 EduNextgen
  8. 8. What is Big Data? Big Data is extremely large volume of data sets that may be trends or associations, especially relating to human behavior and interactions Big data is a term that describes the large volume (Terabytes or Petabytes) of data – both structured and unstructured – that inundates a business on a day- to-day basis Big Data is a collection of huge amount of data set which is not possible to handle in traditional way Big Data include capturing data, data storage, data analysis, visualization, querying etc. www.edunextgen.com 8©2018 EduNextgen
  9. 9. Introduction to Hadoop www.edunextgen.com 9 Hadoop is an Open-source Data Management Framework which support, store and process big data Hadoop is a part of apache project. It is being used by Google, Yahoo, Facebook, Twitter, LinkedIn and many more It allows the distributed processing of huge data across clusters Hadoop was developed by Doug Cutting and Mike Cafarella in year 2006 ©2018 EduNextgen
  10. 10. Necessity of Hadoop Make strategic, confident decisions based on solid data and advanced analytics Gain valuable business insights that help you pinpoint weaknesses and discover new opportunities Earn higher profits by better understanding the business, processes and the customers Big Data flowing in at exponential rate Increased number of Hadoop driven jobs www.edunextgen.com 10©2018 EduNextgen
  11. 11. Hadoop Characteristics www.edunextgen.com 11 Hadoop Is Easily Scalable Hadoop Brings Flexibility In Data Processing Hadoop Is Fault Tolerant Hadoop Is Great At Faster Data Processing Hadoop Ecosystem Is Robust: Hadoop Is Very Cost Effective ©2018 EduNextgen
  12. 12. Introduction to Apache Spark www.edunextgen.com 12 Apache Spark is an open-source cluster in-memory computing framework. Apache Spark provides an interface for programming entire clusters with implicit data parallelism and fault tolerance. Apache Spark provides high-level APIs in Scala, Java, R and Python. Spark is 100x faster then Hadoop MapReduce Spark support streaming process for large dataset Initial Release on May, 2014 Stable Version Release on July, 2017: v2.2.0 on Spark is written in Scala, Java, Python Operating System Support: Microsoft Windows, macOS, Linux ©2018 EduNextgen
  13. 13. Introduction to Apache Spark (Cont’d) www.edunextgen.com 13©2018 EduNextgen
  14. 14. Why Spark? Speed: Spark is In-memory computations It extends the MapReduce model and takes it to a whole other level Spark is 100x times faster than Hadoop MapReduce Generality: Spark is able to handle wide range of workloads Iterative algorithms It provide interactive queries and streaming feature Ease of use: We have APIs as Scala, Python, Java in Spark It contents libraries for ML, SQL, Streaming and Graph Processing Spark runs on Hadoop clusters, Mesos Cassandra etc www.edunextgen.com 14©2018 EduNextgen
  15. 15. Job Opportunities www.edunextgen.com 15 After the U.S., India has the largest demand of analytics / big data / data science professionals. Amidst such demand, people find themselves confused to select an appropriate job profile for the best future. “A professional with working knowledge of data science and big data earns 8% more than with co-worker “ ©2018 EduNextgen
  16. 16. Job Opportunities (Cont’d) www.edunextgen.com 16 89% of hiring managers find it difficult to find talent 47% of employers are willing to pay for professional certifications, up from 33% in 2017 Positions they are looking for: 73% – Developers 60% – DevOps 53% – SysAdmins Employers are seeking expertise in: 70% – Cloud 67% – Big Data 65% – Linux ©2018 EduNextgen
  17. 17. Job Opportunities (Cont’d) www.edunextgen.com 17©2018 EduNextgen
  18. 18. Next Webinar: Execute your First Hive Project What is Big Data? Why do we need Big Data? What is Hive? Basic Hive Operations & Commands: Create database, Show databases, Use, Create table, Show table, Describe, Data Loading in Hive Table – From Local Filesystem, Inserting Data in Hive Table, Select* Retails domain project execution with the hive: Use Case #1: Out of 20000 how many customers given product rating Use Case #2: Find how many number of product available for below brand: Puma Regular First Choice Note: Show product details for "Puma“ www.edunextgen.com 18©2018 EduNextgen
  19. 19. Hadoop Kick-Starter Course What is this course about? Get insights into applications of Big Data and Hadoop along with learning about performing basic operation of HDFS, MapReduce and Hive. The course is bundled with industry grade hands on assignments and project access provided through VM environment to practice what you learn. A program to help you understand career path in Big Data and available learning paths to advance your career options. Duration: 6 Hrs. Date: 20th & 21st January, 2018 Time: 07:30 PM to 10:30 PM Price: ₹ 499 www.edunextgen.com 19©2018 EduNextgen Participants will get access to Course Content (LMS Access) 10+ Assignments 20+ Quizzes Pre-Installed Hadoop environment (Plug and Play) 1 Project with 5 Use Cases
  20. 20. Hadoop Kick-Starter Course Curriculum Day #1: What is Big Data? Why need More and More Data? Big Data Characteristics: Volume, Velocity, Variety, Veracity Types of Data Applications of Big Data Industry who generate Big Data Introduction to Hadoop Why Hadoop? Hadoop Ecosystem YARN www.edunextgen.com 20©2018 EduNextgen Day #2: Hive: Introduction What is Hive and it’s Limitation? Hive Architecture Hive Components Hive Data Types: Primary Data Types Complex Data Types Various Hive Commands and Operations Joins in Hive Project Execution
  21. 21. Q&A www.edunextgen.com 21©2018 EduNextgen

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