Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Cassandra Query Language by Examples: Puzzles with Answers

Cassandra Query Language by Examples: Puzzles with Answers

Scutaru, Cristian

Paperback

General Education

ISBN13: 9798588206716
Publisher: Independently Published
Published: Dec 29 2020
Pages: 142
Weight: 0.44
Height: 0.30 Width: 5.98 Depth: 9.02
Language: English
This book contains two original and high-quality practice tests of 50 questions each. They will help you learn and/or better understand Apache Cassandra, especially its CQL (Cassandra Query Language).* Each practice test has 50 questions. For more challenge, time them up for 60 minutes, and consider a 80% passing score.* Domains: Data Modeling, Data Definition, Data Types, Data Search, Data Modification, Functions, CQL Shell, Performance, Security.* Almost every question offers 3-4 choices. Most questions are single-select, a few with variable multi-selections.* Every question is unique and original, elaborated, meant to teach you something essential, with no waste of time.* Detailed explanations with external references for any possible choice, in each practice test question.* Reference links to relevant pages from the Apache Cassandra Documentation, DataStax documentation, StackOverflow questions.* While this will also help you pass DataStax certifications exams, the questions here may be very different from the exams.* Search by title for the same e-book as LIVE practice tests on Udemy.What you will learn or better understand: * How to properly design tables in CQL. Data modeling with Chebotko diagrams and proper key choices.* How to properly query Cassandra tables without paying a price in performance.* How to properly use the partition, clustering or primary keys, in WHERE and ORDER BY clauses.* When and what keys you may skip in a filter expression or in an explicit query sort order.* When to create a new denormalized table, secondary index or materialized view.* Major differences between SQL and CQL, with plenty of examples.* How to avoid traps, gotcha situations, hidden issues you may not know about.* What the mysterious TTL actually does. When whole rows may suddenly disappear or not

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