Introduction to Big Data Analytics (Coursera)

Introduction to Big Data Analytics (Coursera)
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Introduction to Big Data Analytics (Coursera)
This course is for novice programmers or business people who'd like to understand more advanced tools used to wrangle and analyze big data. In this course you will be guided in basic approaches to querying and exploring data using higher level tools built on top of a Hadoop Platform. You will be walked through query interfaces, environments, and the canonical situations for tools like HBASE, HIVE, Pig, as well as more general tools like Spark-SQL. After this course you will be able to identify the kinds of analysis you can get of big data and how to interpret these results.

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Syllabus

Week 1: HBASE: Hadoop's database

Week 2: HIVE: a Hadoop-based data warehouse

Week 3: PIG: A Dataflow Engine for Hadoop

Week 4: Splunk: Log Analysis and More

Week 5: Spark for Analytics


Introduction to Big Data Analytics is course 3 of 6 in the Big Data Specialization..

Drive better business decisions with an overview of how big data is organized, analyzed, and interpreted. Apply your insights to real-world problems and questions. Do you need to understand big data and how it will impact your business? This Specialization is for you. You will gain an understanding of what insights big data can provide through hands-on experience with the tools and systems used by big data scientists and engineers. Previous programming experience is not required! You will be guided through the basics of using Hadoop with MapReduce, Spark, Pig and Hive. By following along with provided code, you will experience how one can perform predictive modeling and leverage graph analytics to model problems. This specialization will prepare you to ask the right questions about data, communicate effectively with data scientists, and do basic exploration of large, complex datasets. In the final Capstone Project, developed in partnership with data software company Splunk, you’ll apply the skills you learned to do basic analyses of big data.



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