Tag: data types

Feed: R-bloggers. Author: udayan. [This article was first published on R feed, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. A data type of a variable specifies the type of data that is stored inside that variable. For example, x <- 123L Here, 123L is an integer data. So the data type of the variable x is integer. We can verify this by printing the class of x. x <- 123L # print ... Read More

Feed: Planet MySQL; Author: Alena Subotina; In the article, we are going to discuss data types including string, numeric, date and time, spatial, and JSON supported by MySQL. Also, we’ll provide examples of their usage and see how to change a data type for the table column using dbForge Studio for MySQL. Contents What is a Data Type Data Types in MySQL MySQL String Data Types (Text Formats) MySQL Numeric Data Types (Number Formats) MySQL Date & Time Data Types MySQL Spatial Data Types JSON Data Type How to Change Data Type in MySQL What is a Data Type Selecting ... Read More

Feed: Planet MySQL; Author: Alena Subotina; In the article, you will learn about SIGNED and UNSIGNED integer data types in MySQL. The article provides information about integer types with the ZEROFILL, AUTO_INCREMENT, and display_width attributes, as well as describes examples of when and how to use integer data types. Contents What is MySQL INTEGER In MySQL, INTEGER (INT) is a numeric value without a decimal. It defines whole numbers that can be stored in a field or column. In addition, MySQL supports the display_width attribute (for example, INT(1)) and the ZEROFILL attribute, which automatically adds zeros to the value depending ... Read More

Feed: Recent Announcements. As you prepare your data, AWS Glue DataBrew adds support to automatically identify and mark advanced data types for columns, making it easy to normalize columns containing data of types: Social Security Number (SSN), Email Address, Phone Number, Gender, Credit Card, URL, IP Address, Date and Time, Currency, Zip Code, Country, Region, State, and City. Additionally, DataBrew visually marks columns containing Personally Identifiable Information (PII), allowing you to easily scan for all PII columns in your dataset and apply transformations. Learn more about all supported advanced datatypes. To assign columns with an advanced data type, you can ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Tom Wilson. Given the recent pandemic’s uncertainty and disturbances, it is not surprising that investors seek more information before making a decision. Although alternative data is not new, it has been the recent focus for many investing firms. A recent study concluded that the global alternative data market size would grow at a 44% CAGR from 2020 to 2026, reaching an impressive $11.1 billion. The following sections explore the importance of alternative data and its predicted trends this year.  What is alternative data? Alternative data datasets contain any type of information ... Read More

Feed: DB-Engines.com Blog. Author: Matthias Gelbmann. Blog > Postby Matthias Gelbmann, 6 April 2021Tags: GeoMesa, PostGIS, Spatial DBMS, SpatiaLiteWe have added Spatial DBMSs as a new DBMS category. What is a Spatial DBMSA Spatial DBMS is a database management system that is able to efficiently store, manipulate and query spatial data. Spatial data represent objects in a geometric space, for example points and polygons. While any DBMS can store simple spatial data, e.g. in form of (x,y) coordinates, we expect more from a Spatial DBMS. Spatial DBMSs typically provide dedicated data types to store also more complex types of spatial ... Read More

Feed: Microsoft Power BI Blog | Microsoft Power BI. Author: . Over the past few weeks we have released several new features in Dataflows, allowing users to more seamlessly ingest, prepare, and refresh data that can be widely reused by others across the Power Platform and Azure. Here’s a recap of all the features added or improved over this period. At the end, we’ll also provide a bigger picture view on our priorities and what’s coming soon. The Premium features of Dataflows, including enhanced compute and incremental refresh, are now available to all PPU-licensed users, a license that recently became ... Read More

Feed: Recent Announcements. AWS Security Hub is now integrated with Amazon Macie to automatically ingest sensitive data findings from Macie. Security Hub previously ingested policy findings from Macie, and this integration adds sensitive data findings. All of Security Hub’s findings are automatically normalized using the AWS Security Finding Format (ASFF), enabling you to more easily search, correlate, and operationalize them. To get started, visit the Settings page in the Macie console and select Security Hub as a publish destination for sensitive data findings. You can also learn more about how to discover sensitive data in the Macie documentation. Within Security ... Read More

Feed: Recent Announcements. Amazon Redshift Spectrum is now available in four additional AWS Regions: Africa (Cape Town), Asia Pacific (Osaka), Europe (Milan), and AWS GovCloud (US-East). Redshift Spectrum is a feature of Amazon Redshift that extends analytics to data stored in your Amazon S3 data lake, without requiring you to load or transform data. Redshift Spectrum supports open data formats, such as Parquet, ORC, JSON, and CSV. Redshift Spectrum also supports querying nested data with complex data types such as struct, array, or map. You can query data across Redshift and Amazon S3 to gain unique insights that are not ... Read More

Feed: AWS Big Data Blog. A common challenge ETL and big data developers face is working with data files that don’t have proper name header records. They’re tasked with renaming the columns of the data files appropriately so that downstream application and mappings for data load can work seamlessly. One example use case is while working with ORC files and Hive as a metadata store. ORC files are completely self-describing and contain the metadata information. Working with Hive can create challenges such as discrepancies with Hive metadata when exporting the files for downstream processing. For more information, see Hive does ... Read More