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#DATA ANALYSIS PROGRAMS HIVE DOOT MOVIE#
#DATA ANALYSIS PROGRAMS HIVE DOOT SERIES#

These link can be included in your resume/Linkedin profile to showcase your enhanced skillsĭata Scientist Course in Canada Curriculum Yes, you get verifiable certificates for each76 course, 60 Projects with a unique link. You get to learn data science using R, Python, Machine Learning, Artificial Intelligence, Big data & Hadoop, Predictive Modeling, Business Analytics, Data Visualization, and other areas under Data Science.Īnyone serious about learning data science and wants to make a career in analytics You get access to all videos for the lifetime

#DATA ANALYSIS PROGRAMS HIVE DOOT SERIES#

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#DATA ANALYSIS PROGRAMS HIVE DOOT MOVIE#

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Basic understanding of Apache Hadoop and BigData.Have taken the Hadoop Foundations I course.Recommended skills prior to taking this course

It can be taken as many times as you wish.

Explain ways to extend Hive functionality.

Use a variety of Hive Operators in your queries.

Lesson 4 - Hive Operators and Functions.

Run a variety of different HiveQL DML queries.

Create Managed and External tables in Hive.

Use Partitioning to improve performance of Hive queries.

Run a variety of different DDL commands.

Create databases and tables in Hive, while using a variety of different Data Types.

List interesting ways others are using Hive.

Describe what Hive is, what it’s used for and how it compares to other similar technologies.

You will receive the IBM Explorer - Big Data Storage and Retrieval badge (upon completion of all badge criteria). You will receive a completion certificate. What will I get after passing this course? This course will get you started so that you can use Hive for Data Warehousing tasks on your Big Data projects. Hive provides a mechanism to project structure onto this data and query the data using a SQL-like language called HiveQL. Apache Hive, first created at Facebook, is a data warehouse system for Hadoop that facilitates easy data summarization, ad-hoc queries, and the analysis of large datasets stored in Hadoop compatible file systems. Hive can help make querying your data much easier. Writing MapReduce programs to analyze your Big Data can get complex.