Big Data for Decision Makers
Description
This course is intended for decision makers, technical managers and team leaders, who are interested to learn how to design big data solutions. This course will introduce concepts, use-cases and leading products that are used to design a scalable solution for big data in the modern data landscape.
This course will introduce the different components a big data solution is comprised of, using pre-defined use cases as an example on how to plan a solution, from start to finish.
Intended audience
Technical managers and Decision makers
Topics
The modern data trends
Modern data trends and use cases
What is Big Data?
The building blocks of big data solutions
The Lambda architecture, and other design patterns
Introducing our Use-Cases
Ingesting Data
How data is collected?
Where to keep data?
Kafka vs. Flume vs. Sqoop
Saving and Querying Data
Distributed File Storage
NoSQL Introduction
Processing Data
Extract, Transform, Load
ETL using Pig
Batch Processing
Hadoop vs. Spark
Near-Real-Time Processing
Storm vs. Spark Streaming
Search and Indexing data
Full text search and beyond
Elastic Search/Solr
Big Data solutions, End-to-End
Public Cloud Deployments
Workflow Management
Security
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