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Big Data
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Big Data for Decision Makers
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BD4DM - Version: 1
Big Data for Decision Makers
3 days course
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
Objectives
Be familiar with data trends in recent years, the potential hidden in that data and the problems new data platforms need to handle with.
Be familiar with the different components needed to build a big data solution, such as data ingestion, analysis and transformation.
Be familiar with big data use cases
Be familiar with big data products
Topics
The modern data trends
Modern data trends and use cases
What is Big Data?
The building blocks of big data solutions
Ingesting, Querying, Indexing, Processing and Analyzing
Hadoop and Hadoop eco-system
The Lambda architecture, and other design patterns
Horizontal Scaling
Micro-Services
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
Saving data over HDFS
Querying data using SQL over data files
Using Hive
NoSQL Introduction
Key-Value Stores (Riak)
Columnar Databases (Cassandra)
Document Databases (Couchbase)
Graph Databases (Neo4j)
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
Related courses
Hadoop and Spark
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BD4DM Course
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