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- NO SQL ON MAC HOW TO
- NO SQL ON MAC INSTALL
- NO SQL ON MAC ANDROID
- NO SQL ON MAC SOFTWARE
- NO SQL ON MAC MAC
create and manage big data databases and tables using Apache Hive and Apache Impala and.use different tools to explore files in distributed big data filesystems and cloud storage.use different tools to browse existing databases and tables in big data systems.
NO SQL ON MAC HOW TO
You’ll learn how to choose the right data types, storage systems, and file formats based on which tools you’ll use and what performance you need. In this course, you'll learn how to manage big datasets, how to load them into clusters and cloud storage, and how to apply structure to the data so that you can run queries on it using distributed SQL engines like Apache Hive and Apache Impala. combine multiple tables in different ways.work with sorting and limiting results and.explore grouping and aggregation to answer analytic questions.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)
NO SQL ON MAC 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).
NO SQL ON MAC ANDROID
NO SQL ON MAC SOFTWARE
Before continuing, be sure that you have access to a computer that meets the following hardware and software requirements:
NO SQL ON MAC 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.
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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.