Hadoop Intermediate

This Hadoop Intermediate course aims to convey to you a deeper understanding of the Hadoop framework, as discussed in the Hadoop and MapReduce Fundamentals course.

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Intermediate

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5 Hours

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This Hadoop Intermediate course aims to convey to you a deeper understanding of the Hadoop framework, as discussed in the Hadoop and MapReduce Fundamentals course.

Course Information

About this course:

The course teaches on the topic of Hadoop framework. This Hadoop Intermediate course aims to convey to you a deeper understanding of the Hadoop framework, as discussed in the Hadoop and MapReduce Fundamentals course. The course will teach about the different concepts to process and analyze large amounts of data kept in HDFS. The course will teach you Sqoop and Flume for data ingestion.

Learning Objectives:

The course has the following learning objectives:

  • Gaining a fundamental comprehension of the various components of Hadoop ecosystem
  • Gaining understanding and attaining the skills to operate Hadoop Distributed File System (HDFS)
  • Ingesting data through the usage of Sqoop and Flume
  • Using HBase, and gaining understanding of its structure and data storage
  • Gaining important knowledge of Pig and its features
  • Gaining expertise in resilient distribution datasets (RDD) in detail
  • Gaining understanding of the general use of cases of Spark and several other interactive algorithms

Audience:

The Hadoop program is gaining large amount of importance as a tool within the growth of Big-Data structure. This training has been designed for many groups that include:

  • Software developers and architects working in Big-Data organizations
  • Business and technical analytics professionals
  • Senior IT professionals
  • Data management professionals
  • Project managers
  • Data scientists

Requirements:

Although there are no mandatory requirements for this course, but it will be helpful if the learners have completed the Hadoop: Fundamentals course before opting for this course. Furthermore, sufficient amount of knowledge of Core Java and SQL we be highly beneficial as well.

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SubjectsBig Data
Lab AccessNo
TechnologyHadoop
Learning StyleSelf-Paced Learning
Learning TypeCourse
DifficultyIntermediate
Course Duration5 Hours
LanguageEnglish
VPA DiscountVPA Discount

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Hadoop Fundamentals
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Course Expert:

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Tom Robertson
(Data Science Enthusiast)

Tom is an innovator first, and then a Data Scientist & Software Architect. He has integrated expertise in business, product, technology and management. Tom has been involved in creating category defining new products in AI and big data for different industries, which generated more than hundred million revenue cumulatively, and served more than 10 million users.
As a Data Scientist and Software Architect Tom has extensive experience in data science, engineering, architecture and software development. To date Tom has accumulated over a decade of experience in R, Python & Linux Shell programming.

Tom has expertise on Python, SQL, and Spark. He has worked on several libraries including but not limited to Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn, SciPy, NLTK, Keras, and Tensorflow.

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