- USING SQL ON MAC GUIDE INSTALL
- USING SQL ON MAC GUIDE ANDROID
- USING SQL ON MAC GUIDE SOFTWARE
- USING SQL ON MAC GUIDE MAC
understand how and why to filter results. understand the basics of SELECT statements. explore and navigate databases and tables using different tools. 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. In this course, you'll get an in-depth look at the SQL SELECT statement and its main clauses. 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). On Windows and Linux computers, you might need to enable it in the BIOS) USING SQL ON MAC GUIDE MAC
Intel VT-x or AMD-V virtualization support enabled (on Mac computers with Intel processors, this is always enabled.64-bit operating system (32-bit operating systems will not work).
USING SQL ON MAC GUIDE ANDROID
Windows, macOS, or Linux operating system (iPads and Android tablets will not work).
USING SQL ON MAC GUIDE SOFTWARE
Before continuing, be sure that you have access to a computer that meets the following hardware and software requirements:
USING SQL ON MAC GUIDE INSTALL
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.
explore databases and tables in a big data platform. recognize the features and benefits of SQL dialects designed to work with big data systems for storage and analysis and. appreciate how differences in volume and variety of data affects your choice of an appropriate database system. understand how database and table design provides structures for working with data. distinguish operational from analytic databases, and understand how these are applied in big data. 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.īy the end of the course, you will be able to Then you'll learn the characteristics of big data and SQL tools for working on big data platforms. 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). 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. This Specialization is designed to provide excellent preparation for the Cloudera Certified Associate (CCA) Data Analyst certification exam. This Specialization focuses on Hive and Impala, the most widely deployed of these query engines. These are open source SQL engines capable of querying enormous datasets. 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 data stores are cost-efficient and infinitely scalable. Instead, it’s increasingly stored in distributed clusters and cloud storage. 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. 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. Or maybe you already have some experience using SQL to query smaller-scale data with relational databases. Maybe you are new to SQL and you want to learn the basics. This Specialization teaches the essential skills for working with large-scale data using SQL.
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