Hadoop Platform and Application Framework from Coursera

What's inside

Syllabus

Hadoop Basics

Welcome to the first module of the Big Data Platform course. This first module will provide insight into Big Data Hype, its technologies opportunities and challenges. We will take a deeper look into the Hadoop stack and tool and technologies associated with Big Data solutions.

Introduction to the Hadoop Stack

In this module we will take a detailed look at the Hadoop stack ranging from the basic HDFS components, to application execution frameworks, and languages, services.

Introduction to Hadoop Distributed File System (HDFS)

In this module we will take a detailed look at the Hadoop Distributed File System (HDFS). We will cover the main design goals of HDFS, understand the read/write process to HDFS, the main configuration parameters that can be tuned to control HDFS performance and robustness, and get an overview of the different ways you can access data on HDFS.

Introduction to Map/Reduce

This module will introduce Map/Reduce concepts and practice. You will learn about the big idea of Map/Reduce and you will learn how to design, implement, and execute tasks in the map/reduce framework. You will also learn the trade-offs in map/reduce and how that motivates other tools.

Spark

Welcome to module 5, Introduction to Spark, this week we will focus on the Apache Spark cluster computing framework, an important contender of Hadoop MapReduce in the Big Data Arena. Spark provides great performance advantages over Hadoop MapReduce,especially for iterative algorithms, thanks to in-memory caching. Also, gives Data Scientists an easier way to write their analysis pipeline in Python and Scala,even providing interactive shells to play live with data.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Emphasizes the practical, using hands-on exercises to help you learn

Suitable for those new to programming or business who seek to understand big data tools

Provides a foundational understanding of Hadoop architecture, software stack, and execution environment

Incorporates a step-by-step approach to guide learners through data science concepts and techniques

Taught by experienced instructors who bring industry expertise to the course

Utilizes a multi-modal approach with videos, readings, and discussions to enhance learning

Reviews summary

Mixed reviews for hadoop course

Learners say that this beginner Hadoop course provides a basic overview of the tools and concepts in the ecosystem. However, many learners found the course to be poorly delivered, with instructors simply reading from slides and not providing enough explanations or examples. The quizzes and programming assignments were also criticized for being unrelated to the video material and for requiring programming knowledge that was not disclosed upfront. On the positive side, some learners found the hands-on assignments to be fun and helpful.

Some learners found the hands-on assignments to be fun and helpful.

"The hands-on assignments were kind of fun."

Assignments require programming knowledge that is not disclosed upfront.

"The required assignments presume working knowledge of Python that was not disclosed prior to enrollment."

Lecturers read from slides and don't provide explanations.

"The Hadoop lectures were bullet points recited from Powerpoint slides."

"The Spark lectures were abysmal; none of the bullet points recited were explained or expounded upon."

"These people might be knowledgeable, but they teach this course in the worst way possible!! Reading everything from slides is not a good way to teach a concept."

Career center

Learners who complete Hadoop Platform and Application Framework will develop knowledge and skills that may be useful to these careers:

Data Scientist

A Data Scientist is a highly specialized professional who uses data to solve complex business problems. They work with a variety of data sources and technologies to extract insights that can lead to better decision-making. Hadoop Platform and Application Framework can be a valuable asset for those seeking this role, by providing a foundation in managing and processing large data sets. Additionally, the course covers a range of tools and technologies that are commonly used by data scientists, including Hadoop, Spark, and Map/Reduce.

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Data Engineer

A Data Engineer is responsible for designing and building data pipelines that support data analysis. They work with a variety of data sources and technologies to ensure that data is available and accessible to those who need it. Hadoop Platform and Application Framework could be a valuable asset to someone seeking this role. The course provides a comprehensive overview of the Hadoop stack, as well as hands-on experience with Map/Reduce and Spark.

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Big Data Architect

A Big Data Architect is responsible for designing and managing big data solutions. They work with a variety of big data technologies to create solutions that meet the needs of businesses. Taking a course like Hadoop Platform and Application Framework may be useful in preparing for this role, as it provides a strong foundation in managing and processing large data sets. The course covers a wide range of topics, including Hadoop Basics, Introduction to Hadoop Distributed File System (HDFS), and Introduction to Map/Reduce.

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Data Warehouse Architect

A Data Warehouse Architect is responsible for designing and managing data warehouses. They work with a variety of data warehousing technologies to create solutions that meet the needs of businesses. Hadoop Platform and Application Framework could be a valuable asset to someone seeking this role. The course provides a comprehensive overview of the Hadoop stack, as well as hands-on experience with Map/Reduce and Spark.

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Data Visualization Analyst

A Data Visualization Analyst is responsible for creating visual representations of data. They work with a variety of data sources and visualization tools to create visualizations that are clear, concise, and effective. Hadoop Platform and Application Framework could be a valuable resource for someone seeking this role. The course provides a strong foundation in data analysis and management, which are essential skills for Data Visualization Analysts who need to work with large data sets.

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Business Analyst

A Business Analyst is responsible for analyzing business processes and developing solutions to improve efficiency and effectiveness. They work with a variety of stakeholders to gather requirements, analyze data, and develop solutions. Hadoop Platform and Application Framework could be a valuable resource for someone seeking this role. The course provides a strong foundation in data analysis and management, which are essential skills for Business Analysts.

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Technical Writer

A Technical Writer is responsible for creating and maintaining technical documentation. They work with a variety of audiences to create documentation that is clear, concise, and accurate. Hadoop Platform and Application Framework could be a valuable asset to someone seeking this role. The course provides a strong foundation in data analysis and management, which are essential skills for Technical Writers who need to write about technical topics.

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Project Manager

A Project Manager is responsible for planning, organizing, and executing projects. They work with a variety of stakeholders to ensure that projects are completed on time, within budget, and to the required quality standards. Hadoop Platform and Application Framework may be useful for those seeking this role, as it provides a foundation in managing and processing large data sets. The course also covers a range of project management topics, including project planning, execution, and control.

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Machine Learning Engineer

A Machine Learning Engineer is responsible for designing and developing machine learning models. They work with a variety of machine learning algorithms and techniques to create models that can solve specific business problems. Hadoop Platform and Application Framework may be useful for those seeking this role, by providing a foundation in managing and processing large data sets. The course also covers a range of machine learning topics, including machine learning algorithms, techniques, and applications.

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Software Engineer

A Software Engineer is responsible for designing, developing, and maintaining software applications. They work with a variety of programming languages and technologies to create software that meets the needs of users. Taking a course like Hadoop Platform and Application Framework may be beneficial for those seeking this role, by providing a strong foundation in managing and processing large data sets. The course also covers a range of software engineering topics, including software design, development, and testing.

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Database Administrator

A Database Administrator is responsible for managing and maintaining databases. They work with a variety of database technologies to ensure that databases are available and accessible to those who need them. Taking a course like Hadoop Platform and Application Framework may be useful for those seeking this role, by providing a strong foundation in managing and processing large data sets. The course also covers a range of database administration topics, including database design, development, and management.

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Quality Assurance Analyst

A Quality Assurance Analyst is responsible for testing software applications to ensure that they meet quality standards. They work with a variety of stakeholders to identify and fix defects. Hadoop Platform and Application Framework may be useful for those seeking this role, as it provides a foundation in managing and processing large data sets. The course also covers a range of quality assurance topics, including testing methodologies, techniques, and tools.

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Data Analyst

A Data Analyst plays an important role in data-driven decision-making. They are responsible for collecting and analyzing data, and presenting insights that can lead to better business outcomes. Taking a course like Hadoop Platform and Application Framework may be useful in preparing for this role by providing a strong foundation in managing and processing large data sets. The course covers a wide range of topics, including Hadoop Basics, Introduction to Hadoop Distributed File System (HDFS), and Introduction to Map/Reduce.

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Information Security Analyst

An Information Security Analyst is responsible for protecting information systems from unauthorized access, use, disclosure, disruption, modification, or destruction. They work with a variety of security technologies and techniques to ensure that information systems are secure. Hadoop Platform and Application Framework may be useful for those seeking this role, as it provides a foundation in managing and processing large data sets. The course also covers a range of security topics, including security assessment, risk management, and incident response.

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Cloud Architect

A Cloud Architect is responsible for designing and managing cloud computing solutions. They work with a variety of cloud providers and technologies to create solutions that meet the needs of businesses. Hadoop Platform and Application Framework may be useful for those seeking this role, by providing a strong foundation in managing and processing large data sets. The course also covers a range of cloud computing topics, including cloud architecture, design, and management.

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