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Solving 10 Hadoop'able Problems

Solving 10 Hadoop'able Problems

The Apache Hadoop ecosystem is a popular and powerful tool to solve big data problems. With so many competing tools to process data, many users want to know which particular problems are well suited to Hadoop, and how to implement those solutions.

Overview

Description
Need solutions to your big data problems? Here are 10 real-world projects demonstrating problems solved using Hadoop.

The Apache Hadoop ecosystem is a popular and powerful tool to solve big data problems. With so many competing tools to process data, many users want to know which particular problems are well suited to Hadoop, and how to implement those solutions.

To know what types of problems are Hadoop-able it is good to start with a basic understanding of the core components of Hadoop. You will learn about the ecosystem designed to run on top of Hadoop as well as software that is deployed alongside it. These tools give us the building blocks to build data processing applications. This course covers the core parts of the Hadoop ecosystem, helping to give a broad understanding and get you up-and-running fast. Next, it describes a number of common problems as case-study projects Hadoop is able to solve. These sections are broken down into sections by different projects, each serving as a specific use case for solving big data problems.

By the end of this course, you will have been exposed to a wide variety of Hadoop software and examples of how it is used to solve common big data problems.

About The Author

Tomasz Lelek is a Software Engineer and Co-Founder of InitLearn. He mostly does programming in Java and Scala. He dedicates his time and efforts to get better at everything. He is currently delving into big data technologies. Tomasz is very passionate about everything associated with software development. He has been a speaker at a few conferences in Poland-Confitura and JDD, and at the Krakow Scala User Group. He has also conducted a live coding session at Geecon Conference. He was also a speaker at an international event in Dhaka. He is very enthusiastic and loves to share his knowledge.

Course Information

Apache Hadoop ecosystem and solving data problems

Explore the Hadoop big data Ecosystem in a nutshell
Process payment data from an event stream using the streaming API: Payment Analyzer
Detect BOT traffic using Spark Streaming, make log data queryable, and investigate customer data
Supply Chain analysis - find top-seller items in a streaming way, enhance top-seller items
Analyze Customer churn amounts quantitatively with DataFrame queries
Perform IoT sensor data analysis with device response to system failures and data streams
High-performance computation with neighborhood aggregations
Page ranking using Spark GraphX
Threat Analysis - Analyzing weblogs for suspicious activity and anomalies in network traffic
Extract information from unstructured text via Spark DataFrames
Perform sentiment analysis of posts using Logistic Regression, and find the author of a post
Find what product users want to buy using Cloudera Sandbox Toolkit
Use movie history to suggest content, and test and experiment with Recommendation Engine

Data Engineers, and Machine Learning and Data analysts

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IT and Computing courses are available to study on our learning platform. 

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Adult education is the non-credential activity of gaining skills and improved education. 

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Online education is electronically supported learning that relies on the Internet for teacher/student interaction. 

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A short course is a learning programme that gives you combined content or specific skills training in a short period of time. Short courses often lean towards the more practical side of things and have less theory than a university course – this gives you a more hands-on experience within your field of interest.

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Course duration is 24 hours.

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