Big data basics-Introduction
Welcome!
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Big data basics-Big Data: an introduction
Big Data: an introduction
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Why is Big Data so popular?
How banks and social media use big data
How science use big data
Conclusions
Big data basics-The five 'V' of Big Data
The Five 'V' of Big Data
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Big Data Key Features
A closer look at Variability
A case of study
A closer look to the long tail effect
Some Big Data side effects
Conclusions
Big data basics-Distributed architecture
Distributed architecture
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Dealing with parallelism to Tame Big Data
Centralized System vs. Distributed System
Client Server's models
Broker architectural style
Service-Oriented Architecture (SOA)
Conclusions
Hadoop -Hadoop Ecosystem
Hadoop Ecosystem
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How to deal with Big Data? Hadoop a good starting point
Hadoop: related projects
Other related projects
Conclusions
Hadoop -Hadoop and HDFS
Hadoop and HDFS
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Managing HDFS effectively by Hadoop
Hadoop -Hadoop and Map-Reduce
Hadoop and Map-Reduce
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Using Map-Reduce on Top of Hadoop
Hadoop Tools-Pig Latin
Pig Latin
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How to improve data manipulation with Pig Latin
How to improve data manipulation with Pig Latin (part 2)
Conclusions
Hadoop Tools-Apache Hive
Apache Hive
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How to improve data manipulation with Apache Hive
Hive
Conclusions
Hadoop Tools-Beyond Map Reduce
Beyond Map Reduce
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What’s next Map Reduce?
Spark
Conclusions
NoSQL Systems and AI -NO SQL
NO SQL
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How to deal with Big Data Efficiently? The NoSQL approach
Cassandra
Graph vs.RDBMS
Data access in key-values store
Conclusions
NoSQL Systems and AI -CAP Theorem
CAP Theorem
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Some Theory on Big Data Management
The Cap Theorem with Apache Cassandra® and MongoDB
Conclusions
NoSQL Systems and AI -Artificial Intelligence
Artificial Intelligence
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How can we extract Value? AI at first glance
Transation vs. BI Systems and BI Data
Artificial Intelligence
Conclusions