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Databricks, Inc. is a global data, analytics, and artificial intelligence (AI) company, founded in 2013 by the original creators of Apache Spark. [1] [4] The company provides a cloud-based platform to help enterprises build, scale, and govern data and AI, including generative AI and other machine learning models.
By using native SQL code, developers can build advanced logic, data widgets, and powerful analyses inside their geospatial applications. Other APIs: CARTO offers additional APIs to handle Location Data Services (e.g. geocoding, routing…), import geospatial files to the data warehouse, or manage authentication and other assets in CARTO.
Import Export Debugger Source control Spatial Visualization Adminer: Yes Yes Yes SQL script, CSV, TSV or the above in zip (as a plugin); imports of server-site file in SQL or SQL in zip, gzip or bzip2: SQL script, CSV, TSV or the above in zip, gzip, bzip2; XML (as a plugin) No Git: Altova DatabaseSpy: No No Yes CSV, XML XML, XML Structure, CSV ...
Amazon.com Inc (NASDAQ:AMZN) inked a five-year deal with data and AI startup Databricks to provide businesses with cost-effective AI-building capabilities. The financial terms of the contract ...
It started at RJMetrics in 2016 as a solution to add basic transformation capabilities to Stitch (acquired by Talend in 2018). [3] The earliest versions of dbt allowed analysts to contribute to the data transformation process following the best practices of software engineering.
Spark Core is the foundation of the overall project. It provides distributed task dispatching, scheduling, and basic I/O functionalities, exposed through an application programming interface (for Java, Python, Scala, .NET [16] and R) centered on the RDD abstraction (the Java API is available for other JVM languages, but is also usable for some other non-JVM languages that can connect to the ...
The SSIS Import/Export Wizard lets the user create packages that move data from a single data source to a destination with no transformations. The Wizard can quickly move data from a variety of source types to a variety of destination types, including text files and other SQL Server instances.
2021: AWS CDK v2 is released and consolidates the AWS Construct Library into a single package called aws-cdk-lib, streamlining usage and updates, ensuring stable APIs, and offering developer productivity improvements such as CDK Watch, a refreshed API Reference, and a new assertions library for automated unit testing in all CDK-supported languages.