Install, manage and monitor Hadoop cluster on cloud
Query and manage large datasets that reside in distributed storage
Solve real case studies and work on Projects with live data from Twitter
Transform unstructured and semi-structured data into usable schema-based data
Use Apache Hive to build tables and databases to analyse Big Data
Write HiveQL statements for the same as you write MapReduce program in any host language
Write UDFs to solve the complex problems
Knowledge of distributed applications, how distributed applications work
Knowledge of relational database applications such as MySQL, Oracle, etc.
Familiarity with Linux System and Linux commands
Comprehensive Course on Apache Hive provides Knowledge about
the Hadoop Analytic tool in order to analyze humongous data and hiding
the complexity of MapReduce Programs.
Learners, at the end of this training will learn to access,
handle, manipulate and analyze large data sets present in the Hadoop cluster. They
will be able to solve real case studies and work on Projects with live data. Writing
HiveQL statements for the same as you write MapReduce program and writing UDFs
in order to solve the complex problems will be easy after this course
This course contains lectures as videos. Quizzes and
Additional Exercises are present for the learners for practice and to test their
knowledge. The high-quality content bestows opportunities to learners to help
to acquire essential skills needed to pertain the knowledge of this analytic
This course is for developers who want to analyze large and
complex data sets, Software professionals, analytic Professionals and ETL
developers. It is for all those who want to begin working humongous and complex
data with comfort and ease.
Who this course is for:
This course is intended for developers who will be using Hive to analyse large and complex datasets, Software professionals, analytics Professionals and ETL developers.
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