Teradata is a reliable and commonly used relational
database management system for commercial databases. It can store large amounts
of data—including those that are terabytes in size—making it ideal for economic
data warehousing solutions and applications. If you use Teradata in your
business, you can manage it easier with a web-based Teradata client. Teradata
SQL client tools leverage administration capabilities by providing easy access
to your relational database. With these client tools, you can create an SQL
query, send it to the database, and explore the results online from a web
browser.
Feature-rich and intuitive SQL editors support different
kinds of databases like Teradata. Client tools for Teradata are excellent
alternatives to the specialized database platform. They provide support for all
of Teradata's latest features, ranging from views and database tables to
triggers, sequences, and procedures. The client tool comes with all the
necessary features for filtering data, viewing database tables, and determine
the total number of rows in the table. The web-based client has the same
browsing features, too.
Teradata client tools simplify access to the relational
database and perform administrative tasks with a data editor and web-based view
manager. The latter lets you browse, filter, and view data, acquire SQL for
view definition, export view data in different formats, and count the total
rows. The data editor is completely online, so you can create, delete, insert,
or update data, and blob or update data.
Having a Teradata SQL assistant or web edition
alternative can be handy when you want to do more with Teradata. An advanced
data filter can be applied to the view data and table with a few simple clicks.
The online export data function lets you export the table data into PDF,
insert, HTML, and CSV formats. Likewise, you can import CSV data straight to
the tables. The Teradata client tool parses input CSV data columns and displays
column mappings between the data columns of the uploaded CSV file and the table
columns. After importing, you can save it as a job then schedule it to run at
regular intervals.
No comments:
Post a Comment