Understanding metadata scalable data architecture book

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Oracle Enterprise Metadata Management is a solution that is part of the Fusion Middleware. It provides metadata exploration capabili‐ ties and improves data governance and standardization through metadata. Informatica is another key player in the world of metadata manage‐ ment solutions with a product named Intelligent Data Lake. This solution prepares, catalogs, and shares relevant data among business users and data scientists. Startups Providing Best-of-Breed Technology Finally, there are some startups developing commercial products customized for data lake management, like: • Trifacta's solution focuses on the problem of integrating and cleaning the datasets as they come into the lake. This tool essen‐ tially prepares the datasets for efficient posterior processing. • Paxata is a data preparation platform provider that provides data integration, data quality, semantic enrichment, and gover‐ nance. The solution is available as a service and can be deployed in AWS virtual private clouds or within Hadoop environments at customer sites. • Collibra Enterprise Data Platform provides a repository and workflow-oriented data governance platform with tools for data management and stewardship. • Talend Metadata Manager imports metadata on demand from different formats and tools, and provides visibility and control of the metadata within the organization. Talend also has other products for data integration and preparation. • Zaloni provides Bedrock, an integrated data lake management platform that allows you to manage a modern data lake archi‐ tecture, as shown in Figure 1-1. Bedrock integrates metadata from the data lake and automates metadata inventory. In Bed‐ rock, the metadata catalog is a combination of technical, busi‐ ness, and operational metadata. Bedrock allows searching and browsing for metadata using any related term. Bedrock can generate metadata based on ingestions, by importing Avro, JSON, or XML files. Data collection agents compute the meta‐ data, and the product shows users a template to be approved with the metadata. It also automates metadata creation when you add relational databases, and can read data directly from the data lake. A Modern Data Architecture—What It Looks Like | 15

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