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Improve N1QL Query Performance Using Indexes

Kishan Iyer

This course covers the different kinds of indexes available in Couchbase to help speed up the execution of N1QL queries. The course includes a combination of concepts and labs to demonstrate the creation of indexes and their use in N1QL queries.

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This course covers the different kinds of indexes available in Couchbase to help speed up the execution of N1QL queries. The course includes a combination of concepts and labs to demonstrate the creation of indexes and their use in N1QL queries.

Indexes are a very interesting feature in any database, and this is also true of Couchbase. In this course, Improve N1QL Query Performance Using Indexes, you will cover the various kinds of indexes you can create and what kind of N1QL queries they can help with in terms of speeding up their execution.

First, you will begin by exploring the most basic kinds of indexes which are known as primary indexes. Next, you will look at secondary indexes containing just a single field and how one or more of them can be used by a N1QL query to improve performance. Then, you will move on to composite indexes containing multiple fields and discuss their benefits and limitations. Finally, you will glimpse the Analytics Service in Couchbase which allows you to run queries against the data in a bucket by splitting them up into datasets of similar documents.

Once you are done with this course, you will be quite the expert in the different kinds of indexes available in Couchbase, and how they can be applied to improve the performance of your N1QL queries.

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What's inside

Syllabus

Course Overview
Getting Started with Indexes
Creating Secondary Indexes in Couchbase
Building Complex Secondary Indexes
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Implementing Different Types of Indexes
Understanding Factors That Affect Query Performance
Distributing Query Execution Loads with Pushdowns
Optimizing Query Execution

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Builds a foundation in database indexing for learners looking to improve the efficiency of their database queries
Explores various kinds of indexes and their applications in optimizing query performance
Taught by industry expert Kishan Iyer, who is recognized for his work in database indexing and optimization
Provides a combination of theoretical explanations and practical labs, allowing learners to apply concepts hands-on
Focuses on N1QL queries, making the course particularly relevant for developers working with Couchbase
Requires prior experience with N1QL and Couchbase, which may not be suitable for complete beginners

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Career center

Learners who complete Improve N1QL Query Performance Using Indexes will develop knowledge and skills that may be useful to these careers:
SQL Developer
An N1QL Query Performance Using Indexes course can help an SQL Developer excel in the role's typical duties, including writing and modifying database queries, tuning database performance, and working with database administrators to optimize database schemas.
Database Administrator
The material covered in this N1QL Query Performance Using Indexes course may be of some practical use to a DBA. A Database Administrator's role often includes choosing and implementing indexes and tuning queries to improve the performance of database systems.
Data Analyst
Taking an N1QL Query Performance Using Indexes course may be helpful to a person seeking a career as a Data Analyst. The role often includes writing queries to extract and analyze data from databases.
Data Architect
A N1QL Query Performance Using Indexes course may be useful to a Data Architect. The role typically involves designing and implementing data models and ensuring that data is stored and organized in a way that supports efficient querying and analysis.
Software Engineer
Taking a course on N1QL Query Performance Using Indexes can be an asset to a Software Engineer, who often needs to write efficient queries to retrieve and manipulate data from databases.
Business Analyst
An N1QL Query Performance Using Indexes course can be of practical use to a Business Analyst. The role frequently includes gathering and analyzing data to identify trends and insights that can be used to make business decisions.
Information Systems Manager
An N1QL Query Performance Using Indexes course may be helpful to an Information Systems Manager. The role often requires knowledge of database systems and how to optimize their performance.

Reading list

We've selected 11 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Improve N1QL Query Performance Using Indexes.
Comprehensive textbook on database systems, covering all aspects of the subject, from data models to query processing and optimization. It provides a solid foundation for anyone who wants to learn more about database systems.
Provides a practical introduction to NoSQL databases, including Couchbase Server. It covers topics such as data modeling, query optimization, and performance tuning. It valuable resource for anyone who wants to learn more about NoSQL databases.
Comprehensive guide to MongoDB, covering all aspects of the database, from installation and configuration to query optimization and performance tuning. It valuable resource for anyone who wants to learn more about MongoDB.
Provides a practical introduction to Redis, covering topics such as data modeling, query optimization, and performance tuning. It valuable resource for anyone who wants to learn more about Redis.
Comprehensive guide to Cassandra, covering all aspects of the database, from installation and configuration to query optimization and performance tuning. It valuable resource for anyone who wants to learn more about Cassandra.
Comprehensive guide to Elasticsearch, covering all aspects of the search engine, from installation and configuration to query optimization and performance tuning. It valuable resource for anyone who wants to learn more about Elasticsearch.
Comprehensive guide to Hadoop, covering all aspects of the big data platform, from installation and configuration to data processing and analysis. It valuable resource for anyone who wants to learn more about Hadoop.
Comprehensive guide to Spark, covering all aspects of the big data processing framework, from installation and configuration to data processing and analysis. It valuable resource for anyone who wants to learn more about Spark.
Provides a practical introduction to deep learning with Python, covering topics such as neural networks, convolutional neural networks, and recurrent neural networks. It valuable resource for anyone who wants to learn more about deep learning with Python.
Provides a comprehensive introduction to reinforcement learning, covering topics such as Markov decision processes, value functions, and reinforcement learning algorithms. It valuable resource for anyone who wants to learn more about reinforcement learning.

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