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Lakehouse Orchestration with Databricks Workflows

databricks

Organizations across industries are adopting the lakehouse architecture and using a unified platform for all their data, analytics and AI workloads. When moving.

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Modular Orchestration with Databricks Workflows

databricks

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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Better Alerts: Announcing New Workflows Notifications

databricks

Databricks Workflows is a fully-managed orchestration service that is deeply integrated with the Databricks Lakehouse Platform. Workflows is a great alternative to Airflow.

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Data Pipeline- Definition, Architecture, Examples, and Use Cases

ProjectPro

This blog will give you an in-depth knowledge of what is a data pipeline and also explore other aspects such as data pipeline architecture, data pipeline tools, use cases, and so much more. Workflow: It involves the sequencing of jobs in the data pipeline and managing their dependency.

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A Data Prediction for 2025

DataKitchen

We’ve read many predictions for 2023 in the data field: they cover excellent topics like data mesh, observability, governance, lakehouses, LLMs, etc. As an analogy, the DevOps space has seen consolidation in code storage, CI/CD, team workflow, value stream management, testing, and other tools into one platform.

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List of Top Data Science Platforms in 2023

Knowledge Hut

In this blog, we go through what a Data Science Platform is, the different types of platforms, and how they can be used to bring value to the business so that the big corporates can stay in the race to conquer the market of the future. Top Data Science Platforms 1. Need for a Data Science Platform 1.