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Quest Map
Lessons
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Characteristics of NoSQL databases
SQL & Hibernate
Level 19,
Lesson 1
The emergence of the term NoSQL. Basic characteristics of NoSQL databases. Representation of data in the form of aggregates (aggregates).
Features of NoSQL databases
SQL & Hibernate
Level 19,
Lesson 2
Weak ACID properties. Distributed systems, without shared resources (share nothing). NoSQL databases are mostly open source and created in the 21st century.
Apache Cassandra
SQL & Hibernate
Level 19,
Lesson 3
Description. data model. Data types.
Apache Cassandra: storing data in a cluster
SQL & Hibernate
Level 19,
Lesson 4
Data distribution. Consistency of data when writing. Consistency of data when reading.
Sharding
SQL & Hibernate
Level 20,
Lesson 0
What is sharding? We share the indivisible. A simple example of "how to do it by hand". Amdahl law.
Sharding: reverse side
SQL & Hibernate
Level 20,
Lesson 1
How to shard and slow down N times? About the semi-auto. Absolute perfect automation? What are F()? The price to be paid. Complex/long pain: resharding.
Big Data: MapReduce
SQL & Hibernate
Level 20,
Lesson 2
The history of the emergence of the term BigData. Principles of working with big data. MapReduce. Examples of tasks effectively solved using MapReduce.
BigData: Hadoop
SQL & Hibernate
Level 20,
Lesson 3
General information about Hadoop. Running MapReduce programs on Hadoop. Method number 1. Hadoop Streaming. Method number 2: use Java.
BigData: Techniques and Strategies for Developing MapReduce Applications
SQL & Hibernate
Level 20,
Lesson 4
Map only job. combine. Chains of MapReduce tasks. distributed cache. Reduce Join. mapjoin.
BigData: HBase
SQL & Hibernate
Level 20,
Lesson 5
Who invented HBase and why. data model. Supported operations. Architecture. Ways to work with HBase. Some features of working with HBase. Alternatives.
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