About Big Data, Hadoop, Spark and Scala
Big Data
Big Data is a term coined for the data that has various characteristics, such as Volume, Variety, Velocity, Viscosity, Validity, Veracity, Volatility and Virality. Organizations have been handling huge data for a long while, however how much of it was handled or considered, and how was this done has come under question now – especially when organizations have understood that data cannot be ignored as uneconomical. It has great potential in delivering hidden insights which were probably missed in earlier approaches or with existing solutions.
The challenges of capturing, ingesting, storing curing, mining, wrangling, processing, analyzing, modeling, etc. demanded a newer approach, a new solution, and thus a new technology. Thus, Hadoop and its ecosystem, and other non-ecosystem open source/vendor-specific packages came into existence. This now allows users to do all just mentioned above, and much more. This growing paradigm will further change the way the world looks at data, organizations process data, and businesses depend on data.
Hadoop
The Apache Hadoop ecosystem defines mechanisms for storing large data across systems using Hadoop Distributed File System (HDFS), and provides a framework for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than rely on hardware to deliver high-availability, the library itself is designed to detect and handle failures at the application layer, thus delivering a highly available service on top of a cluster of computers, each of which may be prone to failures.*Source Hadoop.apache.org
Spark
Apache Spark is being used widely in the industry as an “in memory data analytics engine.” It is an open-source, cluster-computing framework designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning. Apache Spark provides 100 times improvement in processing large sets of data.
Scala
Apache Scala is a general-purpose programming language providing support for functional programming and a strong static type system. Scala works better with a Spark engine and provides better performance compared to other languages like Python or R.
Big Data
Big Data is a term coined for the data that has various characteristics, such as Volume, Variety, Velocity, Viscosity, Validity, Veracity, Volatility and Virality. Organizations have been handling huge data for a long while, however how much of it was handled or considered, and how was this done has come under question now – especially when organizations have understood that data cannot be ignored as uneconomical. It has great potential in delivering hidden insights which were probably missed in earlier approaches or with existing solutions.
The challenges of capturing, ingesting, storing curing, mining, wrangling, processing, analyzing, modeling, etc. demanded a newer approach, a new solution, and thus a new technology. Thus, Hadoop and its ecosystem, and other non-ecosystem open source/vendor-specific packages came into existence. This now allows users to do all just mentioned above, and much more. This growing paradigm will further change the way the world looks at data, organizations process data, and businesses depend on data.
Hadoop
The Apache Hadoop ecosystem defines mechanisms for storing large data across systems using Hadoop Distributed File System (HDFS), and provides a framework for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than rely on hardware to deliver high-availability, the library itself is designed to detect and handle failures at the application layer, thus delivering a highly available service on top of a cluster of computers, each of which may be prone to failures.*Source Hadoop.apache.org
Spark
Apache Spark is being used widely in the industry as an “in memory data analytics engine.” It is an open-source, cluster-computing framework designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning. Apache Spark provides 100 times improvement in processing large sets of data.
Scala
Apache Scala is a general-purpose programming language providing support for functional programming and a strong static type system. Scala works better with a Spark engine and provides better performance compared to other languages like Python or R.
FAQs
How is this course different from many others I’ve seen online?
Who is teaching the course?
The instructor is an industry expert with over 16 years of experience in the Big Data ecosystem. He has provided Big Data solutions to a variety of companies, including Apple, JP Morgan Chase, and GE.
How will I execute projects in this course?
You execute all of your course assignments/case studies on your CloudLab environment which is available on the Learning Management System (LMS). A support team is available 24/7. (CloudLab is a cloud-based environment that provides you with the experience of a real Big Data and Hadoop production cluster. It is accessible from your browser with minimal hardware configuration.)
Why learn Big Data?
Hadoop practitioners are among the highest paid IT professionals today. Top organizations consider data analytics a critical component of business performance. The demand for professionals with this particular skill set is on the rise, while the supply remains low. Simply look at major job opportunity platforms, such as Indeed and Dice, and you’ll see that there are an increasing number of job postings. By learning the combination of Hadoop, Spark and Scala you will be better equipped to work on Big Data analytics projects.
These predictions will help you understand the growth of Big Data:
After taking this course, what kind of jobs roles will be appropriate for me?
Hadoop job opportunities attract many experienced and talented software engineers who are technically proficient and, most importantly, passionate about what they do! Here are some of the jobs in Hadoop:
Will you find me a job after I finish the course?
Mindteck Academy does not guarantee employment to any course graduate. If you perform well and successfully complete the course, however, we may introduce you to some of our clients who have hired our graduates, or invite you to speak with a Mindteck recruiter concerning the possibility of becoming a Mindteck consultant employee. If you become a Mindteck consultant employee for one year or more, you will be eligible to receive up to 100% of your payment for this course. Graduating from this course does not automatically qualify you for employment by Mindteck. Further assessment and interviews are required.
Can I get a discount if I refer a friend?
Some of our best talent comes from referrals of friends, relatives, or current/former colleagues. To find out how to receive a Referral Reward for each referral you make, call 1-844-323-CODE for more information.
How is this course different from many others I’ve seen online?
- Design: The course is bundled – meaning it includes Hadoop, Spark and Scala all in one course.
- Curation: Unlike lots of other online courses, ours is live and instructor-led. The course, assignments and projects are curated to help develop your skills so that you can become more marketable. There are live, hands-on practice sessions, too!
- 24/7 Support: Online support team is available to help with technical queries.
- Lifetime Access: Learning Management System (LMS) and the course recordings
- Knowledge: In tandem with a training partner, the course is being conducted by Mindteck Academy, part of a global technology company that’s been in business for more than 2-1/2 decades. We provide product engineering solutions and IT services to a top-tier clientele, including Fortune 1000 companies, start-ups, leading universities and government entities all around the world. As part of our services, we provide tech talent, so we know the coveted skills that enterprise clients are continually seeking.
Who is teaching the course?
The instructor is an industry expert with over 16 years of experience in the Big Data ecosystem. He has provided Big Data solutions to a variety of companies, including Apple, JP Morgan Chase, and GE.
How will I execute projects in this course?
You execute all of your course assignments/case studies on your CloudLab environment which is available on the Learning Management System (LMS). A support team is available 24/7. (CloudLab is a cloud-based environment that provides you with the experience of a real Big Data and Hadoop production cluster. It is accessible from your browser with minimal hardware configuration.)
Why learn Big Data?
Hadoop practitioners are among the highest paid IT professionals today. Top organizations consider data analytics a critical component of business performance. The demand for professionals with this particular skill set is on the rise, while the supply remains low. Simply look at major job opportunity platforms, such as Indeed and Dice, and you’ll see that there are an increasing number of job postings. By learning the combination of Hadoop, Spark and Scala you will be better equipped to work on Big Data analytics projects.
These predictions will help you understand the growth of Big Data:
- The Hadoop market is expected to reach $99.31B by 2022, at a CAGR of 42.1% (Source: Forbes)
- McKinsey predicts that by 2018 there will be a shortage of 1.5M data experts. The US alone will deal with a shortage of nearly 190,000 data scientists and 1.5 million data analysts and Big Data managers by 2018
- Average salary of Big Data Hadoop Developers is $97K (Source: PayScale)
After taking this course, what kind of jobs roles will be appropriate for me?
Hadoop job opportunities attract many experienced and talented software engineers who are technically proficient and, most importantly, passionate about what they do! Here are some of the jobs in Hadoop:
- Hadoop Architect - An Architect is expected to organize, administer, manage and govern Hadoop on large clusters. S/he also does documentation for the Hadoop-based production environment involving petabytes of data. The Hadoop Architect needs to have rich experience in Java, MapReduce, Hive, HBase, PIG, Sqoop, and more. S/he also administers Linux/Unix environments and designs Hadoop Architecture involving cluster node configuration, NameNode/DataNode, connectivity, etc.
- Hadoop Developer - A Developer is the one who loves programming and wants to make the most out of it! S/he needs to have a working knowledge of Core Java, SQL and any scripting language, along with good interpersonal skills. Also, working knowledge of Hadoop-related technologies, such as Hive, Hbase, and Flume helps in accelerating career growth. There are Application Developers or Data Developers with respect to Hadoop.
- Data Scientist - Data Scientist is another tech-savvy role which is slowly replacing the title of Business Analyst. These professionals generate, evaluate, spread and integrate the knowledge gathered and stored in Hadoop environments, thus they need to have an in-depth knowledge of business as well as data. They write code, design intelligent analytic models, work with databases, get involved into very complex SQL, and so on. Data Scientists are also expected to have experience in SAS, SPSS and programming languages, such as R. They are also responsible for spotting the most crucial issues and working on them. Data Scientists are different from traditional Data Analysts in the way that Data Scientists analyze data from various sources, instead of relying on a single source.
- Hadoop Administrator - An Administrator is primarily involved in administering Hadoop and its database systems. S/he has a good understanding of Hadoop design principals and extensive knowledge of hardware systems. The Hadoop Administrator’s job involves troubleshooting and resolving issues. S/he is responsible for maintaining large clusters and should have strong scripting skills. Core technologies required include Hadoop, MapReduce, Hive, Linux, Java, database administration and so on.
- Others - Apart from the above, there are several roles, ranging from Hadoop Analyst to Hadoop Engineer, and Hadoop Trainer, Hadoop Consultant.
Will you find me a job after I finish the course?
Mindteck Academy does not guarantee employment to any course graduate. If you perform well and successfully complete the course, however, we may introduce you to some of our clients who have hired our graduates, or invite you to speak with a Mindteck recruiter concerning the possibility of becoming a Mindteck consultant employee. If you become a Mindteck consultant employee for one year or more, you will be eligible to receive up to 100% of your payment for this course. Graduating from this course does not automatically qualify you for employment by Mindteck. Further assessment and interviews are required.
Can I get a discount if I refer a friend?
Some of our best talent comes from referrals of friends, relatives, or current/former colleagues. To find out how to receive a Referral Reward for each referral you make, call 1-844-323-CODE for more information.
Sample Use Cases
Our case studies are derived from a variety of industries, including BFSI, Healthcare, Social Media, Retail, and Tourism.
Our case studies are derived from a variety of industries, including BFSI, Healthcare, Social Media, Retail, and Tourism.
Example Case Study 1
Analyze stock market to find insights
Industry: BFSI
Problem Statement:
TickStocks, a small stock trading organization, wants to build a Stock Performance System using certain parameters, such as Average High of all stocks during January. Currently this is done using an Excel spreadsheet, but due to its size limitations, there is delay is gathering and integrating information quickly.
How can you help solve Tickstocks’s issue of information retrieval?
Analyze stock market to find insights
Industry: BFSI
Problem Statement:
TickStocks, a small stock trading organization, wants to build a Stock Performance System using certain parameters, such as Average High of all stocks during January. Currently this is done using an Excel spreadsheet, but due to its size limitations, there is delay is gathering and integrating information quickly.
How can you help solve Tickstocks’s issue of information retrieval?
Example Case Study 2
Analyze patient’s health to gain insights
Industry: Health Care
Problem Statement:
MobiHeal is a mobile health organization that captures patient’s physical activities by keeping various sensors on different parts of the body. The use of multiple sensors measure the motion experienced by diverse body parts like acceleration, rate of turn, magnetic field orientation, etc. This helps in capturing the body dynamics in an efficient manner.
Devise a system to effectively run queries on this large dataset to get specific information about such activities as:
Sum/Average of acceleration from chest
Sum/Average of acceleration from ankle
Sum/Average of gyro from ankle
Analyze patient’s health to gain insights
Industry: Health Care
Problem Statement:
MobiHeal is a mobile health organization that captures patient’s physical activities by keeping various sensors on different parts of the body. The use of multiple sensors measure the motion experienced by diverse body parts like acceleration, rate of turn, magnetic field orientation, etc. This helps in capturing the body dynamics in an efficient manner.
Devise a system to effectively run queries on this large dataset to get specific information about such activities as:
Sum/Average of acceleration from chest
Sum/Average of acceleration from ankle
Sum/Average of gyro from ankle
If at any time you’d prefer to speak with us, please call 1-844-323-CODE. Or, email info@mindteckacademy.com and we’ll be in touch shortly thereafter. Thank you!
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