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Alation Announces 2021.4 Release: Interview on Column-Level Lineage with Jason Ma, Senior Director of Product Management

Alation

External Tables Create a Shared View of the Data Lake. We’ve seen external tables become popular with our customers, who use them to provide a normalized relational schema on top of their data lake. Essentially, external tables create a shared view of the data lake, a single pane of glass everyone can reference.

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Mainframe Optimization: 5 Best Practices to Implement Now

Precisely

There are three potential approaches to mainframe modernization: Data Replication creates a duplicate copy of mainframe data in a cloud data warehouse or data lake, enabling high-performance analytics virtually in real time, without negatively impacting mainframe performance. Download Best Practice 1.

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Mainframe Data: Empowering Democratized Cloud Analytics

Precisely

The cloud is especially well-suited to large-scale storage and big data analytics, due in part to its capacity to handle intensive computing requirements at scale. BI platforms and data warehouses have been replaced by modern data lakes and cloud analytics solutions. Secure data exchange takes on much greater importance.

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What Is Data Curation?

Alation

Data curation is important in today’s world of data sharing and self-service analytics, but I think it is a frequently misused term. When speaking and consulting, I often hear people refer to data in their data lakes and data warehouses as curated data, believing that it is curated because it is stored as shareable data.

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What Is a Data Catalog?

Alation

Figure 1 illustrates the typical metadata subjects contained in a data catalog. Figure 1 – Data Catalog Metadata Subjects. Datasets are the files and tables that data workers need to find and access. They may reside in a data lake, warehouse, master data repository, or any other shared data resource.

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Alation Earns 8 Top Rankings in BARC’s The Data Management Survey 23

Alation

Alation outpaced its rivals by achieving 8 top rankings and 11 leading positions across two separate peer groups of Data Intelligence Platforms and Data Governance Products. In addition, 83 percent of surveyed users would recommend — and 90 percent are satisfied with — Alation Data Catalog.

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How to Manage Unstructured Data in AI and Machine Learning Projects

DagsHub

To combine the collected data, you can integrate different data producers into a data lake as a repository. A central repository for unstructured data is beneficial for tasks like analytics and data virtualization. Data Cleaning The next step is to clean the data after ingesting it into the data lake.