Remove data-pipeline-components-and-types
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Using Rendering Parameters on a XM Cloud component

Perficient

I recently did a POC using rendering parameters in a component in XM Cloud. In this blog i will describe my approach, issues faced and how i overcame them. Adding a rendering to a component, is relatively straight forward in Sitecore development, i.e.( [link] ). component-content { background-color: ${props.params.textColor ?

Cloud 120
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Extending Layout Service in Sitecore Headless

Perficient

It is responsible for rendering the layout of a page or a component and delivering the associated content to the client-side application. The Layout Service constructs and delivers a JSON representation encompassing the context, route, placeholders, renderings (components), and data sources. of this page.

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Deploying Salesforce Custom Metadata using FlexDeploy

Flexagon

If you are looking for an introduction to FlexDeploy’s support for Salesforce, start with this blog series. In this blog, we’ll cover how to deploy Custom Metadata object types in Salesforce using FlexDeploy. Custom Metadata Type Definition. Deploying a new Custom Metadata Type Item. Commit to SCM.

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Building a React dashboard to visualize workflow and job events

CircleCI

Data visualization is the process of translating large data sets and metrics into charts, graphs, and other visuals. The resulting visual representation of data makes it easier to identify and share real-time trends, outliers, and new insights about the information represented in the data. Prerequisites. Getting started.

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3. Psyberg: Automated end to end catch up

Netflix Tech

By Abhinaya Shetty , Bharath Mummadisetty This blog post will cover how Psyberg helps automate the end-to-end catchup of different pipelines, including dimension tables. In the previous installments of this series, we introduced Psyberg and delved into its core operational modes: Stateless and Stateful Data Processing.

Windows 97
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One Big Cluster Stuck: The Right Tool for the Right Job

Cloudera

Here are some tips and tricks of the trade to prevent well-intended yet inappropriate data engineering and data science activities from cluttering or crashing the cluster. Using CDSW primarily for scheduling and automating any type of workflow is a misuse of the service.

Tools 75
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Cloudera Data Engineering 2021 Year End Review

Cloudera

Since the release of Cloudera Data Engineering (CDE) more than a year ago , our number one goal was operationalizing Spark pipelines at scale with first class tooling designed to streamline automation and observability. Data pipelines are composed of multiple steps with dependencies and triggers. New in 2021.