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Database Table Source in Astera Data Stack

In this video, we will see how a Database Table Source object works in Astera. The Database Table Source object is used to retrieve data from a database table. It offers incremental reads via change data capture, supports multi-way partitioning for enhanced performance, and allows customization with WHERE clauses and sorting options.

Delimited File Source in Astera Data Stack

In this video, we will be discussing how you can extract data from a delimited file using the Delimited File Source object in Astera. Delimited files are one of the most commonly used data formats and use specific characters or delimiters to separate records and indicate the structure of the table in which the data resides. Contents of the video.

#shorts - Sankey Chart - There's a better Viz for that

The Sankey chart (Sankey chart) lets you add a specific type of flow chart to the sheet you are editing. The chart visually emphasizes major transfers or flows within defined system boundaries. The width of the chart arrows is shown proportionally to the flow quantity. The Sankey chart is included in the Visualization bundle.

Beta testing myths debunked: Three reasons enterprises still need it

Beta testing remains critical for effective software launches despite some common myths. While mounting pressure from executives, consumers, and competitors may make it tempting to rationalize skipping prelaunch tests, the benefits of effective beta tests make it a strategic necessity.

XML JSON File Source in Astera Data Stack

In this video, we will be discussing how you can extract data from an XML JSON File Source using the XML JSON File Source object in Astera. XML JSON file source in Astera provides a high-speed reader for XML or JSON files in which the data is stored in a hierarchical format within several nodes and sub nodes. Contents of the video: Configure the object properties, including File Path, Schema Location, and other options. Generate XML Schema. Customizing XML Layout and Config Parameters. XML data preview.

The Path to Commercial Open Banking: Insights from the UK

Open Banking is a phrase used around the world that describes a new way of engaging with banks. If we consider the 20-plus countries that have embraced the concept, they all have taken a slightly different approach than the UK, the first territory to embrace the change. This misalignment causes some issues as interoperability is key in any global ecosystem, and performance is paramount.

New Snowflake Deployments: Saudi Arabia and Zurich Coming Soon

A key benefit of the Snowflake Data Cloud is the elimination of data silos. Fundamental to this outcome is the ability of customers to operate and collaborate globally. To support this, the Data Cloud was designed to provide customers with the same product experience—including security and governance capabilities — across multiple cloud regions with the three major cloud providers: AWS, Azure, and Google Cloud.

Metadata Management and Data Governance with Cloudera SDX

In this article, we will walk you through the process of implementing fine grained access control for the data governance framework within the Cloudera platform. This will allow a data office to implement access policies over metadata management assets like tags or classifications, business glossaries, and data catalog entities, laying the foundation for comprehensive data access control.