The Applied SQL Data Analytics Workshop (notice n° 72851)

détails MARC
000 -LEADER
fixed length control field 03541cam a2200301zu 4500
003 - CONTROL NUMBER IDENTIFIER
control field FRCYB88882293
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250107233012.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250108s2020 fr | o|||||0|0|||eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781800203679
035 ## - SYSTEM CONTROL NUMBER
System control number FRCYB88882293
040 ## - CATALOGING SOURCE
Original cataloging agency FR-PaCSA
Language of cataloging en
Transcribing agency
Description conventions rda
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Goldwasser, Matt
245 01 - TITLE STATEMENT
Title The Applied SQL Data Analytics Workshop
Statement of responsibility, etc. ['Goldwasser, Matt', 'Malik, Upom', 'Johnston, Benjamin']
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Name of producer, publisher, distributor, manufacturer Packt Publishing
Date of production, publication, distribution, manufacture, or copyright notice 2020
300 ## - PHYSICAL DESCRIPTION
Extent p.
336 ## - CONTENT TYPE
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type code c
Source rdamdedia
338 ## - CARRIER TYPE
Carrier type code c
Source rdacarrier
520 ## - SUMMARY, ETC.
Summary, etc. Take a step-by-step approach to learning SQL data analysis in this interactive workshop that uses fun exercises and activities to make learning data analytics for beginners easy and approachable.Key FeaturesExplore ways to use SQL for data analytics and gain key insights from your dataStudy advanced analytics, such as geospatial and text analyticsDiscover ways to integrate your SQL pipelines with other analytics technologiesBook DescriptionEvery day, businesses operate around the clock and a huge amount of data is generated at a rapid pace. Hidden in this data are key patterns and behaviors that can help you and your business understand your customers at a deep, fundamental level. Are you ready to enter the exciting world of data analytics and unlock these useful insights?Written by a team of expert data scientists who have used their data analytics skills to transform businesses of all shapes and sizes, The Applied SQL Data Analytics Workshop is a great way to get started with data analysis, showing you how to effectively sieve and process information from raw data, even without any prior experience.The book begins by showing you how to form hypotheses and generate descriptive statistics that can provide key insights into your existing data. As you progress, you'll learn how to write SQL queries to aggregate, calculate and combine SQL data from sources outside of your current dataset. You'll also discover how to work with different data types, like JSON. By exploring advanced techniques, such as geospatial analysis and text analysis, you'll finally be able to understand your business at a deeper level. Finally, the book lets you in on the secret to getting information faster and more effectively by using advanced techniques like profiling and automation.By the end of The Applied SQL Data Analytics Workshop, you'll have the skills you need to start identifying patterns and unlocking insights in your own data. You will be capable of looking and assessing data with the critical eye of a skilled data analyst.What you will learnUnderstand what data analytics is and why it is importantExperiment with data analytics using basic and advanced queriesInterpret data through descriptive statistics and aggregate functionsExport data from external sources using powerful SQL queriesWork with and manipulate data using SQL joins and constraintsSpeed up your data analysis workflow by automating tasks and optimizing queriesWho this book is forIf you are a database engineer who is looking to transition into analytics or someone who knows SQL basics but doesn't know how to use it to create business insights, then this book is for you.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Goldwasser, Matt
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Malik, Upom
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Johnston, Benjamin
856 40 - ELECTRONIC LOCATION AND ACCESS
Access method Cyberlibris
Uniform Resource Identifier <a href="https://international.scholarvox.com/netsen/book/88882293">https://international.scholarvox.com/netsen/book/88882293</a>
Electronic format type text/html
Host name

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