As of June 2024, the most popular open-source database management system (DBMS) in the world was MySQL, with a ranking score of 1061. Oracle was the most popular commercial DBMS at that time, with a ranking score of 1244.

As of June 2024, the most popular relational database management system (RDBMS) worldwide was Oracle, with a ranking score of 1244.08. Oracle was also the most popular DBMS overall. MySQL and Microsoft SQL server rounded out the top three.

The Common Database on Designated Areas (CDDA) is more commonly known as Nationally designated areas. The inventory began in 1995 under the CORINE programme of the European Commission. It is now one of the agreed Eionet priority data flows maintained by EEA with support from the European Topic Centre on Biological Diversity. It is a result of an annual data flow through Eionet countries. The EEA publishes the data set and makes it available to the World Database of Protected Areas (WDPA). The CDDA data can also be queried online in the European Nature Information System (EUNIS).

Geographical coverage of GIS vector boundary data: Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, Great Britain, Greece, Ireland, France, Germany, Iceland, Italy, Kosovo (UNSCR 1244/99), Latvia, Liechtenstein, Lithuania, the North Macedonia, the Netherlands, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden and Switzerland. EEA does not have permission to distribute some or all sites reported by Estonia, Romania and Türkiye.

Copyright is to be mentioned for Estonia and Finland when re-use of the dataset includes these countries. For Estonia: "Estonian Environmental Register 25.02.2014”. For Finland: "©Finnish Environment Institute, 2014".

A spatial dataset of the UK's National designations submitted to the Common Database on Designated Areas (CDDA) in March 2016. This is the most up to data copy of the dataset and previous submissions have been archived.

The CDDA is a data bank for officially designated protected areas such as nature reserves, protected landscapes, National Parks, etc. in Europe. The CDDA is run by the European Environment Agency. This spatial dataset includes only data for National Designations, the main ones being Sites of Special Scientific Interest, National Nature Reserves, Local Nature Reserves, National Parks, Areas of Outstanding Natural Beauty and a variety of Marine Protected Areas.

Embark on a journey to master advanced database concepts essential for crafting production-grade applications. As a software engineer, understanding these concepts will empower you to develop robust backend applications while gaining a comprehensive understanding of the underlying processes. This course will equip you with knowledge and skills in: Joins: Learn how to effectively link data from two or more tables, a fundamental aspect of relational databases. Indexes: Understand how to optimize your databases for faster, more efficient data retrieval. Transactions: Gain insights into how databases maintain integrity even in the event of system failures. Database Administration: Acquire the skills needed to manage and maintain a database system effectively. Functions / Stored Procedures: Learn how to use these powerful tools to encapsulate and automate common database tasks. Schemas: Understand the role of schemas in organizing database objects and controlling user access. Database Backu

The NIH Common Data Elements (CDE) Repository has been designed to provide access to structured human and machine-readable definitions of data elements that have been recommended or required by NIH Institutes and Centers and other organizations for use in research and for other purposes. Visit the NIH CDE Resource Portal for contextual information about the repository.

Includes data files and supplemental information. Supplemental information includes a reproducible RMarkdown file, an Excel sheet with metadata, and complete webpage files. Please not that CCD nonfiscal documentation files have been downloaded manually.From the Common Core of Data website:The Common Core of Data (CCD) is the Department of Education's primary database on public elementary and secondary education in the United States. CCD is a comprehensive, annual, national database of all public elementary and secondary schools and school districts.Information on the Common Core of Data (CCD)The primary purpose of the CCD is to provide basic information on public elementary and secondary schools, local education agencies (LEAs), and state education agencies (SEAs) for each state, the District of Columbia, and the outlying territories with a U.S. relationship. CCD is composed of two components: Nonfiscal CCD and Fiscal CCD.

The European inventory of nationally designated areas holds information about protected sites and about the national legislative instruments, which directly or indirectly create protected areas.

The primary purpose of the CCD is to provide basic information on public elementary and secondary schools, local education agencies (LEAs), and state education agencies (SEAs) for each state, the District of Columbia, and the outlying territories with a U.S. relationship.

This presentation is aimed at those who are starting up the learning curve on all the international socioeconomic data sources out there. Comparisons of coverage, ease of use, advantages and disadvantages will be presented for services such as World Development Indicators (WDI), International Financial Statistics (IFS), the Economist Intelligence Unit (EIU) WorldDATA, United Nations Data bases, etc. A secondary focus will evaluate what else is worth exploring besides the big, well-known data providers just mentioned. (Note: Data associated with this presentation is available on the DLI FTP site under folder 1873-220.)

This database contains water monitoring data collected by NETN in the CVDT format used by data visualization and other systems. This version of the data is not intended to be an archive.

The database contains index measures of linguistic similarity both domestically and internationally. The domestic measures capture linguistic similarities present among populations within a single country while the international indexes capture language similarities between two different countries. The 8 indices reflect three different aspects of language: common official languages, common native and acquired spoken languages, and linguistic proximity across different languages. This database has many uses, such as in models of bilateral flows—including FDI, migration, and international trade—as well as in regional or country level analyses. Extensive and detailed coverage: Bilateral indexes for 242 countries Based on 6,674 individual languages

The Common Core of Data Nonfiscal Survey, 2000-01 (CCD 2000-01) is a data collection that is part of the Common Core of Data (CCD) program; program data is available since 1986-1987 at . CCD-Nonfiscal 2000-01 (https://nces.ed.gov/ccd/index.asp) is a cross-sectional survey that collected non-fiscal data about all public schools, public school districts, and state education agencies in the 50 United States, the District of Columbia, Department of Defense schools, Bureau of Indian Affairs, and other outlying jurisdictions. The data were supplied by state education agency officials and included basic information and descriptive statistics on public elementary and secondary schools and schooling in general. Key information produced from CCD-Nonfiscal 2000-01 include information that described schools and school districts, including name, address, and phone number; student counts by race/ethnicity, grade and sex and full-time equivalent (FTE) staff counts by labor category.

In 2023, over ** percent of surveyed software developers worldwide reported using PostgreSQL, the highest share of any database technology. Other popular database tools among developers included MySQL and SQLite.

Approximately ** percent of the surveyed software companies in Russia mentioned PostgreSQL, making it the most popular database management system (DBMS) in the period between February and May 2022. MS SQL and MySQL followed, having been mentioned by ** percent and ** percent of respondents, respectively.

This dataset contains records for each public elementary and secondary education agency in the 50 states, the District of Columbia, and United States territories (American Samoa, Guam, Puerto Rico, the Virgin Islands, and the Marshall Islands) for 1995-1996. Records in this file provide the National Center for Education Statistics and state identification numbers, agency name, address, and telephone number, county name, agency type (regular school district, component of supervisory union, headquarters of supervisory union, regional educational service agency, state-operated agency, federally-operated agency, other), metropolitan status, Metropolitan Statistical Area (MSA) code if applicable, number of students (ungraded/PK-12), number of students with special Individual Education Programs (IEPs), number of high school completers (regular diploma/other diploma/other completers), number of classroom teachers and staff, and grades 7-12 dropout data.

The dataset on Common Database on Designated Areas (CDDA) was created in 2014 by Cogea for the European Marine Observation and Data Network. This dataset is entirely based on GIS Data from the European Environmental Agency (EEA), plus additional info and selected EEA tabular data added as feature attributes, as well as the Cogea's calulation of marine and coastal location of features. It is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The CDDA is commonly known as 'Nationally designated areas' and it is the official source of protected areas information from the 38 European countries, members of the Eionet, to the World Database of Protected Areas (WDPA). The data are delivered by the Eionet partnership countries as spatial and tabular information. The inventory began in 1995 under the CORINE programme of the European Commission. It is now one of the agreed Eionet priority data flows maintained by EEA with support from the European Topic Centre on Biological Diversity. The dataset is used by the EEA and e.g. the UNEP-WCMC for their main European and global assessments, products and services. Geographical coverage: Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Kosovo (under UNSC Resolution 1244/99), Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden and Switzerland. EEA does not have permission to distribute some or all sites reported by Estonia, Ireland and Turkey. In the webmap the dataset has been filtered in order to show only marine and coastal areas. Where available each polygon has the following main attributes: CDDA ID, country code, country name, site name, legal foundation date, national ID, area type/code (Designated Boundary or Site), IUCN category/description (Ia: Strict Nature Reserve; Ib: Wilderness Area; II: National Park; III: Natural Monument or Feature; IV: Habitat/Species Management Area; V: Protected Landscape/ Seascape; VI: Protected area with sustainable use of natural resources; Not applicable; Not assigned; Not reported), area (ha), major ecosystem type (Marine, Marine and terrestrial, Terrestrial), marine area percentage, spatial resolution (Scale 100K-250K, Scale Larger 100K, Unknown), remarks, marine/coastal location (1). For further information please visit the EEA's website. Compared with the previous release, this one includes the updated dataset 'CDDA_2023_v01_public' published by the EEA in June 2023.