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Top 10 Data Lineage Podcasts, Blogs, and Magazines

Octopai

The host is Tobias Macey, an engineer with many years of experience. The particular episode we recommend looks at how WeWork struggled with understanding their data lineage so they created a metadata repository to increase visibility. Currently, he is in charge of the Technical Operations team at MIT Open Learning. Agile Data.

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Build a serverless transactional data lake with Apache Iceberg, Amazon EMR Serverless, and Amazon Athena

AWS Big Data

One important feature is to run different workloads such as business intelligence (BI), Machine Learning (ML), Data Science and data exploration, and Change Data Capture (CDC) of transactional data, without having to maintain multiple copies of data. Data can be organized into three different zones, as shown in the following figure.

Data Lake 102
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Governing data in relational databases using Amazon DataZone

AWS Big Data

This post explains how you can extend the governance capabilities of Amazon DataZone to data assets hosted in relational databases based on MySQL, PostgreSQL, Oracle or SQL Server engines. Second, the data producer needs to consolidate the data asset’s metadata in the business catalog and enrich it with business metadata.

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Federate Amazon QuickSight access with open-source identity provider Keycloak

AWS Big Data

Amazon QuickSight is a scalable, serverless, embeddable, machine learning (ML) powered business intelligence (BI) service built for the cloud that supports identity federation in both Standard and Enterprise editions. For instructions on installing Keycloak, refer to Keycloak Downloads. Download the SAML metadata file.

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Get Your Analytics Insights Instantly – Without Abandoning Central IT

Cloudera

With CDW, as an integrated service of CDP, your line of business gets immediate resources needed for faster application launches and expedited data access, all while protecting the company’s multi-year investment in centralized data management, security, and governance. Tableau, Qlik, Power BI, etc). Your data warehouse is ready.

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What is Data Mapping?

Jet Global

An on-premise solution provides a high level of control and customization as it is hosted and managed within the organization’s physical infrastructure, but it can be expensive to set up and maintain. Business applications use metadata and semantic rules to ensure seamless data transfer without loss.

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What Is Embedded Analytics?

Jet Global

Learn how embedded analytics are different from traditional business intelligence and what analytics users expect. Embedded Analytics Definition Embedded analytics are the integration of analytics content and capabilities within applications, such as business process applications (e.g., CRM, ERP, EHR/EMR) or portals (e.g.,