6 Best Machine Learning Data Catalog Software

Best Machine Learning Data Catalog Software

Companies with multiple data sources are more likely to use machine-learning data catalog tools to search for a single source of truth to try to scale data utilization in companies.

1. Anzo

Anzo, Cambridge Semantics’ data scanning and integration platform, enables users to browse, connect and merge data. Anzo combines internally and externally, such as cloud and on-site data lakes. In the kit, data cataloging includes the encoding of a semantic layer that shows data in an enterprise context using graph models. The data layers will, among other things, be used to clean, translate, fit a semantic model, link and control access data.

2. Cloudera

Cloudera Navigator, a Data Governance solution for Hadoop, offers data exploitation, continual refinement, audit, lines, metadata management and regulation enforcement. The product uses a search guide for users to browse and tag information. Navigator consolidates and embraces personalized tags and annotations, making it easy to track, define and locate information to comply with corporate governance and regulatory obligations. The Enterprise Cloudera has a Navigator Cloudera.

3. Data.world

Data.world is a cloud-based catalog of enterprise data that gives customers complete knowledge so that their data can be recognized anywhere it is processed. This kit includes metadata, dashboards, analyses, scripting, documents, project management and features to share social media. For the analysis of interactions and for the support of the study, the Program establishes an interconnected data-and-observation network. Data.world is unique due to its continuous updating time.

4. Denodo

The Denodo platform enables you to link multi-structured data streams from IM networks, records and a range of other big data, cloud and commercial sources with virtualized data. Connectivity is provided in relation databases, legacy archives, flat files, CML, packaged programs and new data types such as Hadoop. An interactive catalog with a searchable, contextualized interface is added to the tool to permit users to browse results.

5. Immuta

Immuta’s cloud-native data processing platform is used by organizations to ease data access management, security and privacy protection. The Active Data Catalog tools of Immuta are built on a stable security basis that still requires top-to-bottom management and monitoring. Users can grant access, even the most significant, to democratized files by themselves and escape time consuming procedures of approval.

6. Appen

Captures and labels pictures, text, speech, audio, video as well as other information for the generation of training data used to create and optimize the most sophisticated IA systems in the world. We provide an advanced, licensable data annotation platform for computer vision and natural language data management applications. Smart Labeling and Pre-Labeling capabilities of our platform, which allow human annotations to be simpler and enhance precision and efficiency using machine learning. You have chosen the level of operation and security you want for the processing and annotation of data from a white glove run service to agile self-service.

Following points are considered when choosing the data catalog tools for Machine Learning

– Organize and consolidate data from all sources in a single repository.

– Include device access control for authentication and data management purposes.

– Let business people search and access data from inside the catalog and collaborate through categorization, commenting and exchanging functionality on data sets.

– Make smart recommendations focused on machine learning for quicker access to relevant data.