workflows 
Start Data Engineering
DECEMBER 13, 2023
Ways to uplevel your dbt workflow 3.1. Introduction 2. Reproducible environment 3.1.1. A virtual environment with Poetry 3.1.2. Use Docker to run your warehouse locally 3.2. Reduce feedback loop time when developing locally 3.2.1. Run only required dbt objects with selectors 3.2.2. Use prod datasets to build dev models with defer 3.2.3.
Confessions of a Data Guy
DECEMBER 1, 2022
It’s a tale of Databricks Workflows and Jobs, version changes, new features, API’s, and insidious little hidden gems that will make you pull your hair out when you find them. […] The post A Tale of Betrayal and Heartbreak – Databricks Workflows and Jobs. appeared first on Confessions of a Data Guy.
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Knowledge Hut
JANUARY 31, 2024
In my experience as a Scrum Master, I've realized the importance of implementing Scrum best practices for an efficient Agile workflow. When stakeholders and Product Owners participate in Scrum meetings, they will understand the workflow and the ways in which the team works. Stakeholders must participate in Scrum meetings.
databricks
AUGUST 16, 2023
Thousands of Databricks customers use Databricks Workflows every day to orchestrate business critical workloads on the Databricks Lakehouse Platform. As is often the.
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You’ll learn: The seven requirements to include in your analytics evaluation How enhancing your analytics can boost user satisfaction and revenue What sophisticated capabilities to consider, including predictive analytics, adaptive security and integrated workflows Download the white paper to learn about the seven questions every application team should (..)
Uber Engineering
JANUARY 16, 2023
Our Data Workflow Platform team introduces WorkflowGuard: a new service to govern executions, prioritize resources, and manage life cycle for repetitive data jobs. Check out how it improved workflow reliability and cost efficiency while bringing more observability to users.
KDnuggets
APRIL 3, 2023
This article will explain how RAPIDS can help you speed up your next data science workflow. RAPIDS cuDF is a GPU DataFrame library that allows you to produce your end-to-end data science pipeline development all on GPU.
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Packaging and Deployment Workflow: Embedded analytics solution should work seamlessly with your current application. Application Design: Depending on your capabilities, you can choose either a VM or a container-based approach. Deployment: Benefits and drawbacks of hosting on premises or in the cloud.
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Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.
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Many application teams leave embedded analytics to languish until something—an unhappy customer, plummeting revenue, a spike in customer churn—demands change. But by then, it may be too late. In this White Paper, Logi Analytics has identified 5 tell-tale signs your project is moving from “nice to have” to “needed yesterday.".
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Just by embedding analytics, application owners can charge 24% more for their product. How much value could you add? This framework explains how application enhancements can extend your product offerings. Brought to you by Logi Analytics.
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