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)
Ce cours fait partie de la Spécialisation Modern Big Data Analysis with SQL
Foundations for Big Data Analysis with SQL
proposé par
Ce que vous allez apprendre
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
Compétences que vous acquerrez
Les étudiants prenant part à ce Course sont
- Data Analysts
- Data Engineers
- Economists
- Data Scientists
- Machine Learning Engineers
Programme du cours : ce que vous apprendrez dans ce cours
Data and Databases
In this week, you'll get an overview of this Specialization and of Course 1. Then you'll learn about database systems and the distinction between operational and analytic databases.
Relational Databases and SQL
Big Data
SQL Tools for Big Data Analysis
Principaux examens pour Foundations for Big Data Analysis with SQL
Awesome foundation to build on skills of query and analysis of big data and to use big data technologies like Hive and Impala\n\nI Really enjoyed the course and the instructor is perfect
If you don't have any background about SQL and you don't know where to start, I think this is the best course to start. It simplifies the concepts into easy ideas to be understandable.
Enseignant
Glynn Durham
Senior InstructorÀ propos de Cloudera
À propos du Spécialisation Modern Big Data Analysis with SQL
Foire Aux Questions
Quand aurai-je accès aux vidéos de cours et aux devoirs ?
Une fois que vous êtes inscrit(e) pour un Certificat, vous pouvez accéder à toutes les vidéos de cours, et à tous les quiz et exercices de programmation (le cas échéant). Vous pouvez soumettre des devoirs à examiner par vos pairs et en examiner vous-même uniquement après le début de votre session. Si vous préférez explorer le cours sans l'acheter, vous ne serez peut-être pas en mesure d'accéder à certains devoirs.
À quoi ai-je droit si je m'abonne à cette Spécialisation ?
Lorsque vous vous inscrivez au cours, vous bénéficiez d'un accès à tous les cours de la Spécialisation, et vous obtenez un Certificat lorsque vous avez réussi. Votre Certificat électronique est alors ajouté à votre page Accomplissements. À partir de cette page, vous pouvez imprimer votre Certificat ou l'ajouter à votre profil LinkedIn. Si vous souhaitez seulement lire et visualiser le contenu du cours, vous pouvez accéder gratuitement au cours en tant qu'auditeur libre.
Quelle est la politique de remboursement ?
Une aide financière est-elle possible ?
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)
D'autres questions ? Visitez le Centre d'Aide pour les Etudiants.
