Este curso forma parte de Programa especializado: Modern Big Data Analysis with SQL

4.9
estrellas
508 calificaciones

96 %

Ian Cook

25.028 ya inscrito

Ofrecido Por

Programa especializado: Modern Big Data Analysis with SQLCloudera

Acerca de este Curso

23.586 vistas recientes

In this course, you'll get an in-depth look at the SQL SELECT statement and its main clauses. The course focuses on big data SQL engines Apache Hive and Apache Impala, but most of the information is applicable to SQL with traditional RDBMs as well; the instructor explicitly addresses differences for MySQL and PostgreSQL.
By the end of the course, you will be able to
• explore and navigate databases and tables using different tools;
• understand the basics of SELECT statements;
• understand how and why to filter results;
• explore grouping and aggregation to answer analytic questions;
• work with sorting and limiting results; and 
• combine multiple tables in different ways.

To use the hands-on environment for this course, you need to download and install a virtual machine and the software on which to run it. Before continuing, be sure that you have access to a computer that meets the following hardware and software requirements:
• Windows, macOS, or Linux operating system (iPads and Android tablets will not work)
• 64-bit operating system (32-bit operating systems will not work)
• 8 GB RAM or more
• 25GB free disk space or more
• Intel VT-x or AMD-V virtualization support enabled (on Mac computers with Intel processors, this is always enabled;
on Windows and Linux computers, you might need to enable it in the BIOS)
• For Windows XP computers only: You must have an unzip utility such as 7-Zip or WinZip installed (Windows XP’s built-in unzip utility will not work)

Fechas límite flexibles

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Certificado para compartir

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Curso 2 de 3 en

Programa especializado: Modern Big Data Analysis with SQL

Nivel principiante

Aprox. 17 horas para completar

Inglés (English)

¿Podría tu empresa beneficiarse de la capacitación de los empleados en las habilidades más demandadas?

Prueba Coursera para negocios

Qué aprenderás

Understand the basics of SELECT statements
Understand how and why to filter results
Explore grouping and aggregation to answer analytic questions
Work with sorting and limiting results

Habilidades que obtendrás

Apache Hive
Apache Impala
Data Analysis
Big Data
SQL

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.

Certificado para compartir

Obtén un certificado al finalizar

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.

Curso 2 de 3 en

Programa especializado: Modern Big Data Analysis with SQL

Nivel principiante

Aprox. 17 horas para completar

Inglés (English)

¿Podría tu empresa beneficiarse de la capacitación de los empleados en las habilidades más demandadas?

Prueba Coursera para negocios

Instructor

Calificación del instructor

4,91/5 (119 calificaciones)

Ian Cook

Staff Curriculum Developer

Cloudera

27.214 alumnos

2 cursos

Ofrecido por

Cloudera

At Cloudera, we believe that data can make what is impossible today, possible tomorrow. We empower people to transform complex data into clear and actionable insights. Cloudera delivers an enterprise data cloud for any data, anywhere, from the Edge to AI. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises.

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Programa - Qué aprenderás en este curso

Calificación del contenido96%(2,562 calificaciones)

Semana1

Semana 1

3 horas para completar

Orientation to SQL on Big Data

3 horas para completar

9 videos (Total 47 minutos), 5 lecturas, 2 cuestionarios

9 videos

Welcome to the Course4mReview and Preparation4mUsing the Hue Query Editors7mRunning SQL Utility Statements6mRunning SQL SELECT Statements5mUnderstanding Different SQL Interfaces4mOverview of Beeline and Impala Shell2mUsing Beeline8mUsing Impala Shell3m

5 lecturas

Instructions for Downloading and Installing the Exercise Environment30mTroubleshooting the VM5m(Optional) What about Spark SQL?10mExpectations for Learners10m(Optional) Using Other SQL Engines10m

2 ejercicios de práctica

Week 1 Core Quiz30mWeek 1 Honors Quiz5m

Semana2

Semana 2

3 horas para completar

SQL SELECT Essentials

3 horas para completar

16 videos (Total 83 minutos), 4 lecturas, 2 cuestionarios

16 videos

Introduction2mSQL SELECT Building Blocks2mIntroduction to the SELECT List7mExpressions and Operators7mData Types6mColumn Aliases5mBuilt-In Functions7mData Type Conversion5mThe DISTINCT Keyword5mIntroduction to the FROM Clause3mIdentifiers7mFormatting SELECT Statements4mUsing Beeline in Non-Interactive Mode5mUsing Impala Shell in Non-Interactive Mode4mFormatting the Output of Beeline and Impala Shell4mSaving Hive and Impala Query Results to a File5m

4 lecturas

Order of Operations5mDivision and Modulo Operators15mCommon String Functions15mCase (In)Sensitivity in SQL10m

2 ejercicios de práctica

Week 2 Core Quiz30mWeek 2 Honors Quiz5m

Semana3

Semana 3

3 horas para completar

Filtering Data

3 horas para completar

14 videos (Total 85 minutos), 6 lecturas, 2 cuestionarios

14 videos

Introduction1mAbout the Datasets4mIntroduction to the WHERE Clause2mUsing Expressions in the WHERE Clause9mComparison Operators9mData Types and Precision4mLogical Operators7mOther Relational Operators4mUnderstanding Missing Values8mHandling Missing Values6mConditional Functions9mUsing Variables with Beeline and Impala Shell7mCalling Beeline and Impala Shell from Scripts6mQuerying Hive and Impala in Scripts and Applications2m

6 lecturas

Data Reference5m(Optional) Unicode Characters10mWorking with Literal Strings15mMissing Values with Logical Operators10mMissing Values in String Columns5m(Optional Exercise) Change VM Desktop Color30m

2 ejercicios de práctica

Week 3 Core Quiz30mWeek 3 Honors Quiz5m

Semana4

Semana 4

3 horas para completar

Grouping and Aggregating Data

3 horas para completar

15 videos (Total 82 minutos), 6 lecturas, 2 cuestionarios

15 videos

Introduction1mIntroduction to Aggregation2mCommon Aggregate Functions2mUsing Aggregate Functions in the SELECT Statement8mIntroduction to the GROUP BY Clause6mChoosing an Aggregate Function and Grouping Column4mGrouping Expressions6mGrouping and Aggregation, Together and Separately5mNULL Values in Grouping and Aggregation4mThe COUNT Function7mTips for Applying Grouping and Aggregation7mFiltering on Aggregates2mThe HAVING Clause8mUnderstanding Hive and Impala Version Differences10mUnderstanding Hue Version Differences2m

6 lecturas

COUNT(*) and SUM(1)5mInterpreting Aggregates: Populations and Samples10mThe least and greatest Functions5mWhy Aggregate Expressions Ignore NULL Values5m(Optional) Shortcuts for Grouping10mHow Grouping and Aggregation Can Mislead10m

2 ejercicios de práctica

Week 4 Core Quiz30mWeek 4 Honors Quiz10m

Reseñas

4.9

140 reseña

5 stars
88,77 %
4 stars
9,44 %
3 stars
0,78 %
2 stars
0,39 %
1 star
0,59 %

Principales reseñas sobre ANALYZING BIG DATA WITH SQL

por RK6 de jul. de 2021

This Course was amazing. I have never seen such a well explained MOOC like this . Superb Content and Knoweledge is there.

por KT14 de feb. de 2021

Had really fun time getting hands on experience on SQL. Highly recommend it to anyone who wants to learn how to run SQL programming.

por MN5 de ago. de 2020

How amazing the course was! From the video lectures, the reading materials, to the practical exercises and the teachers as well, everything was fantastic in this course. Highly recommended!

por SA10 de feb. de 2021

The course is really informative and laconic. It covers everything you need to analyze data using SQL. Would recommend everyone who wants to learn SQL.

Ver todas las reseñas

Acerca de Programa especializado: Modern Big Data Analysis with SQL

This Specialization teaches the essential skills for working with large-scale data using SQL.

Maybe you are new to SQL and you want to learn the basics. Or maybe you already have some experience using SQL to query smaller-scale data with relational databases. Either way, if you are interested in gaining the skills necessary to query big data with modern distributed SQL engines, this Specialization is for you. Most courses that teach SQL focus on traditional relational databases, but today, more and more of the data that’s being generated is too big to be stored there, and it’s growing too quickly to be efficiently stored in commercial data warehouses. Instead, it’s increasingly stored in distributed clusters and cloud storage. These data stores are cost-efficient and infinitely scalable. To query these huge datasets in clusters and cloud storage, you need a newer breed of SQL engine: distributed query engines, like Hive, Impala, Presto, and Drill. These are open source SQL engines capable of querying enormous datasets. This Specialization focuses on Hive and Impala, the most widely deployed of these query engines. This Specialization is designed to provide excellent preparation for the Cloudera Certified Associate (CCA) Data Analyst certification exam. You can earn this certification credential by taking a hands-on practical exam using the same SQL engines that this Specialization teaches—Hive and Impala.

Preguntas Frecuentes

¿Cuándo podré acceder a las lecciones y tareas?
El acceso a las clases y las asignaciones depende del tipo de inscripción que tengas. Si tomas un curso en modo de oyente, verás la mayoría de los materiales del curso en forma gratuita. Para acceder a asignaciones calificadas y obtener un certificado, deberás comprar la experiencia de Certificado, ya sea durante o después de participar como oyente. Si no ves la opción de oyente:
es posible que el curso no ofrezca la opción de participar como oyente. En cambio, puedes intentar con una Prueba gratis o postularte para recibir ayuda económica.
Es posible que el curso ofrezca la opción 'Curso completo, sin certificado'. Esta opción te permite ver todos los materiales del curso, enviar las evaluaciones requeridas y obtener una calificación final. También significa que no podrás comprar una experiencia de Certificado.
¿Qué recibiré si me suscribo a este Programa especializado?
Cuando te inscribes en un curso, obtienes acceso a todos los cursos que forman parte del Programa especializado y te darán un Certificado cuando completes el trabajo. Se añadirá tu Certificado electrónico a la página Logros. Desde allí, puedes imprimir tu Certificado o añadirlo a tu perfil de LinkedIn. Si solo quieres leer y visualizar el contenido del curso, puedes auditar el curso sin costo.
¿Hay ayuda económica disponible?
Sí. En ciertos programas de aprendizaje, puedes postularte para recibir ayuda económica o una beca en caso de no poder costear los gastos de la tarifa de inscripción. Si hay ayuda económica o becas disponibles para tu selección de programa de aprendizaje, verás un enlace para postularte en la página de descripción.
What are the hardware and software requirements for the exercise environment?
• Windows, macOS, or Linux operating system (iPads and Android tablets will not work) • 64-bit operating system (32-bit operating systems will not work) • 8 GB RAM or more • 25GB free disk space or more • Intel VT-x or AMD-V virtualization support enabled (on Mac computers with Intel processors, this is always enabled; on Windows and Linux computers, you might need to enable it in the BIOS) • For Windows XP computers only: You must have an unzip utility such as 7-Zip or WinZip installed (Windows XP’s built-in unzip utility will not work)

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Analyzing Big Data with SQL

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Qué aprenderás

Habilidades que obtendrás