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Power Pivot allows for importing data from multiple sources, such as databases (SQL Server, Microsoft Access, etc.), OData data feeds, Excel files, and other sources, facilitating comprehensive data analysis within a single environment. [10] The VertiPaq compression engine is used to hold the data model in memory on the client computer ...
Link library and tools that are a set of modular and extensible open-source, cross-platform tools and software libraries that facilitate proteomics data analysis. ProteoWorker: Proprietary: Cloud-based software for proteomics data analysis including COMET, Peptide Prophet, ProteinProphet and extensive data sorting, filtering and annotation tools.
The M.S. in QM and Analytics is designed to prepare students to pursue a variety of QM and/or Analytics careers such as Quality Manager, Quality Analyst, Data Analyst, Business Analyst, Quality Consultant, and Quality Systems specialist, or to pursue doctoral-level graduate studies in preparation for research and instructional roles in quality ...
Mass spectrometry is a scientific technique for measuring the mass-to-charge ratio of ions. It is often coupled to chromatographic techniques such as gas-or liquid chromatography and has found widespread adoption in the fields of analytical chemistry and biochemistry where it can be used to identify and characterize small molecules and proteins ().
A Master of Science in Business Analytics (MSBA) is an interdisciplinary STEM graduate professional degree that blends concepts from data science, computer science, statistics, business intelligence, and information theory geared towards commercial applications. Students generally come from a variety of backgrounds including computer science ...
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Microsoft SQL Server Analysis Services (SSAS [1]) is an online analytical processing (OLAP) and data mining tool in Microsoft SQL Server. SSAS is used as a tool by organizations to analyze and make sense of information possibly spread out across multiple databases, or in disparate tables or files.
ISO/IEC 5259-3: Data quality for analytics and machine learning — Part 3: Data quality management requirements and guidelines Published (2024) ISO/IEC 5259-4: ISO/IEC 5259-4: Data quality for analytics and machine learning — Part 4: Data quality process framework Published (2024) ISO/IEC 8183: ISO/IEC 8183: Data life cycle framework