Solving Big Data Challenges with Redis, ElasticSearch, Spark, MongoDB & Storm

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Solving Big Data Challenges with Redis, ElasticSearch, Spark, MongoDB & Storm

BD-342

Solving Big Data Challenges is a workshop session where we will introduce 5 big data products each solving another Big Data challenge. Each topic will be dedicated to another challenge and a matching product.
We will cover each product core principles and will see some hands on examples. Some of the topics can be found in one of my webinars 

Audience

Target Audience:
Software Development Managers, CTOs, CIOs, Software Architects, System Architects, Data Architects, DBA, Lead Developers.

Previous knowledge:
Software development
Database management or programming

Topics

Module 1: Redis, the high throughput data store

How to retrieve 100K queries/sec?
How to implement high throughput queues?
How to keep the system available?

Module 2: ElasticSearch, Your real time search engine

How to implement a search engine?
How to connect your search engine to your data?
How to visualize your data in 5 min?

Module 3: Spark, 100x faster Map Reduce

How to analyze TB of data in fraction of time
How to implement Machine learning algorithms?
How to visualizer the results?
How to query the big data using SQL?

Module 4: MongoDB, The right way to scale complex data

How to design a document based data store?
How to design an always on data cluster?
How to shard your data on commodity servers?

Module 5: Storm, Real Time Event Processing

How to aggregate data?
How to provide real data notifications based on high throughput steams?
How to build your DWH in real time?

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