Microsoft Power Query
Power Query is the easiest way to connect, extract, transform and load data from a wide range of sources. Power Query is a data transformation and data preparation engine. Power Query comes with a graphical interface for getting data from sources and a Power Query Editor for applying transformations. Because the engine is available in many products and services, the destination where the data will be stored depends on where Power Query was used. Using Power Query, you can perform the extract, transform, and load (ETL) processing of data. Microsoft’s Data Connectivity and Data Preparation technology that lets you seamlessly access data stored in hundreds of sources and reshape it to fit your needs—all with an easy to use, engaging, no-code experience. Power Query supports hundreds of data sources with built-in connectors, generic interfaces (such as REST APIs, ODBC, OLE, DB and OData) and the Power Query SDK to build your own connectors.
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Minitab Connect
The best insights are based on the most complete, most accurate, and most timely data. Minitab Connect empowers data users from across the enterprise with self-serve tools to transform diverse data into a governed network of data pipelines, feed analytics initiatives and foster organization-wide collaboration. Users can effortlessly blend and explore data from databases, cloud and on-premise apps, unstructured data, spreadsheets, and more. Flexible, automated workflows accelerate every step of the data integration process, while powerful data preparation and visualization tools help yield transformative insights. Flexible, intuitive data integration tools let users connect and blend data from a variety of internal and external sources, like data warehouses, data lakes, IoT devices, SaaS applications, cloud storage, spreadsheets, and email.
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Data Preparer
A week's worth of manual data preparation in minutes. Reducing time to insight with intelligent data preparation. A New Approach to Data Preparation. Our Data Preparer software provides a new approach to preparing data for analysis. In Data Preparer, you describe what you need, and the software works out how to produce it. Hands-off Data Preparation. Data Preparer wrangles data without laborious hand-crafting of data preparation programs. In Data Preparer, you: Describe what you need. Provide data sources, a target structure, quality priorities and example data. The target structure and quality priorities make explicit what you need. The example data provides evidence that is used by Data Preparer to clean and integrate the data. Hand over to Data Preparer. Data Preparer explores how the data sources relate to each other and the target, and populates the target from the sources. Data Preparer explores different ways that the sources can be combined, and reformats data
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Rapidminer Monarch
Rapidminer Monarch is a Siemens no-code data preparation solution that helps teams clean, transform, and structure data from nearly any source. It allows users to turn information from PDFs, spreadsheets, text reports, databases, and complex files into usable rows and columns for reporting, analytics, machine learning, and other applications. The platform is designed to empower non-technical users to complete data preparation tasks quickly while reducing manual errors. Rapidminer Monarch provides auditable change histories and clear data lineage so teams can trust how data was prepared and transformed. It also supports automated reconciliation workflows, legacy data migration, pre-built apps for business systems, and enterprise deployment through Rapidminer Monarch Server. With drag-and-drop tools, scalable automation, and reliable governance, Rapidminer Monarch helps organizations deliver structured, trusted data faster.
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