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

4.8
estrellas
1,053 calificaciones

96 %

Glynn Durham

46.901 ya inscrito

Ofrecido Por

Programa especializado: Modern Big Data Analysis with SQLCloudera

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In this course, you'll get a big-picture view of using SQL for big data, starting with an overview of data, database systems, and the common querying language (SQL). Then you'll learn the characteristics of big data and SQL tools for working on big data platforms. You'll also install an exercise environment (virtual machine) to be used through the specialization courses, and you'll have an opportunity to do some initial exploration of databases and tables in that environment.
By the end of the course, you will be able to
• distinguish operational from analytic databases, and understand how these are applied in big data;
• understand how database and table design provides structures for working with data;
• appreciate how differences in volume and variety of data affects your choice of an appropriate database system;
• recognize the features and benefits of SQL dialects designed to work with big data systems for storage and analysis; and 
• explore databases and tables in a big data platform.

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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Curso 1 de 3 en

Programa especializado: Modern Big Data Analysis with SQL

Nivel principiante

Aprox. 11 horas para completar

Inglés (English)

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Qué aprenderás

Distinguish operational from analytic databases, and understand how these are applied in big data
Understand how database and table design provides structures for working with data
Appreciate how differences in volume and variety of data affects your choice of an appropriate database system
Recognize the features and benefits of SQL dialects designed to work with big data systems for storage and analysis

Habilidades que obtendrás

Database (DBMS)
Data Warehousing
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 1 de 3 en

Programa especializado: Modern Big Data Analysis with SQL

Nivel principiante

Aprox. 11 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

4,78/5 (303 calificaciones)

Glynn Durham

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%(4,848 calificaciones)

Semana1

Semana 1

2 horas para completar

Data and Databases

2 horas para completar

11 videos (Total 50 minutos), 4 lecturas, 1 cuestionario

11 videos

Welcome to the Specialization6mWelcome to the Course and Week 13mWhat Is Data?3mWhy Organize Data?5mWhat Does a DBMS Do?5mRelational Databases and SQL6mThe Success of RDBMSs and SQL4mOperational and Analytic Databases5mComparing Operational and Analytic DBs: SELECT Statements2mComparing Operational and Analytic DBs: DML Activity4mOperational and Analytic Databases: Further Comparisons1m

4 lecturas

Hardware Requirements for the Exercise Environment10mData Extraction from Digital Images10mThree Notes about SQL10mReferences10m

1 ejercicio de práctica

Data and Databases30m

Semana2

Semana 2

3 horas para completar

Relational Databases and SQL

3 horas para completar

15 videos (Total 80 minutos), 3 lecturas, 1 cuestionario

15 videos

Welcome to Week 21mIntroducing Table Schemas3mNULL Values3mData Types3mPrimary Keys5mForeign Keys6mTwo Strategies for Database Design3mDatabase Normalization8mDenormalization5mDifferences6mTrade-offs4mDatabase Transactions6mACID6mEnforcing Business Rules: Constraints and Triggers7mBusiness Rules and ACID for Analytics?6m

3 lecturas

Let There Be Third Normal Form5mSELECT Statements in Transactions5mDatabase Indexes30m

1 ejercicio de práctica

Relational Databases30m

Semana3

Semana 3

2 horas para completar

Big Data

2 horas para completar

12 videos (Total 63 minutos), 1 lectura, 1 cuestionario

Semana4

Semana 4

2 horas para completar

SQL Tools for Big Data Analysis

2 horas para completar

12 videos (Total 53 minutos), 1 lectura, 1 cuestionario

12 videos

Welcome to Week 41mBig Data Analytic Databases (Data Warehouses)2mNoSQL: Operational, Unstructured and Semi-structured4mNon-transactional, Structured Systems2mBig Data ACID-Compliant RDBMSs1mSearch Engines4mChallenges4mWhat We Keep3mWhat We Give Up5mWhat We Add8mWhere to Store Big Data7mCoupling of Data and Metadata7m

1 lectura

Open Source and Apache15m

1 ejercicio de práctica

SQL Tools for Big Data Analysis30m

Reseñas

4.8

257 reseña

5 stars
80,92 %
4 stars
16,12 %
3 stars
1,51 %
2 stars
0,47 %
1 star
0,94 %

Principales reseñas sobre FOUNDATIONS FOR BIG DATA ANALYSIS WITH SQL

por CY5 de feb. de 2021

Superb lecturer, wonderful course. A detailed description of the relational database management system. A good intro for learning hive and impala. Definitely worth taking.

por RL24 de jul. de 2020

Great course series. Lessons are clear and well made. I learned a great deal about SQL and Database Management and Structure. Highly recommended.

por CA16 de jun. de 2021

This course helped me learn new topics I was looking to get forward. The content is very well made so that everyone could understand it very easily.

por MO25 de feb. de 2020

Excellent course for beginners, that want to get started with big data. This course also help me appreciate traditional RDMS systems while clearing confusions.

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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Foundations for Big Data Analysis with SQL

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Qué aprenderás

Habilidades que obtendrás