Data preparation is the first and a very important step towards any Large Language Model (LLM) development. This paper introduces an easy-to-use, extensible, and scale-flexible open-source data preparation toolkit called Data Prep Kit (DPK). DPK is a...
Looking to export all data? Go to Export all your organization's data. With the Data Export tool, you can export some or all of your organization’s data to a Google Cloud Storage archive and download it. …
Omics data facilitate the gain of novel insights into the pathophysiology of diseases and, consequently, their diagnosis, treatment, and prevention. To that end, it is necessary to integrate omics data with other data types such as clinical, phenotyp...
**Background** I’m a self-taught data scientist, with about 5 years of data analyst experience and now about 5 years as a Data Scientist. I’m more math minded than the average person, but I’m n...
The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted. (⭐ 20837)
Uma corretora de imóveis anuncia diariamente diversos terrenos, casas e locações, para o consumidor conseguir adquirir algum imóvel é necessário preencher um contrato com valor do imóvel, se é terreno, casa ou locação, se será pago á vista ou parcelado (Haverã…
re_data - fix data issues before your users & CEO would discover them ? (⭐ 1569)
Modern applications commonly need to manage dataset types composed of heterogeneous data and schemas, making it difficult to access them in an integrated way. A single data store to manage heterogeneous data using a common data model is not effective...
With the advent of the Data Age, organisations are constantly under pressure to pay attention to the diffusion of data skills, data responsibilities, and management of accessibility to data analysis tools for the technical as well as non-technical em...
Data democratization is an ongoing process that broadens access to data and facilitates employees to find, access, self-analyze, and share data without additional support. This data access management process enables organizations to make informed dec...
When releasing data to the public, data stewards are ethically and often legally obligated to protect the confidentiality of data subjects' identities and sensitive attributes. They also strive to release data that are informative for a wide range of...
Sharing research data is necessary, but not sufficient, for data reuse. Open science policies focus more heavily on data sharing than on reuse, yet both are complex, labor-intensive, expensive, and require infrastructure investments by multiple stake...
Data cleaning is a crucial yet challenging task in data analysis, often requiring significant manual effort. To automate data cleaning, previous systems have relied on statistical rules derived from erroneous data, resulting in low accuracy and recal...
Streaming data can arise from a variety of contexts. Important use cases are continuous sensor measurements such as temperature, light or radiation values. In the process, streaming data may also contain data errors that should be cleaned before furt...
Source data for Esri defense and intelligence feature templates. This data is used to create features and derived data products using military symbology. (⭐ 48)
Traditional data monetization approaches face challenges related to data protection and logistics. In response, digital data marketplaces have emerged as intermediaries simplifying data transactions. Despite the growing establishment and acceptance o...
The objective of the Data Analytics internship at CSRBOX is to provide interns with hands-on experience in applying data analytics techniques to real-world projects in the field of corporate social responsibility (CSR). Interns will gain practical skills in da…
For any vacuum initial data set, we define a local, non-negative scalar quantity which vanishes at every point of the data hypersurface if and only if the data are {\em Kerr initial} data. Our scalar quantity only depends on the quantities used to co...
Accessing MongoDB Data with REST :: Learn how to work with RESTful, hypermedia-based data persistence using Spring Data REST. (⭐ 73)
Accessing JPA Data with REST :: Learn how to work with RESTful, hypermedia-based data persistence using Spring Data REST. (⭐ 153)