Data Governance, Data Ingestion, Data Workflow and Raw Data

DataOps Architecture: 5 Key Components and How to Get Started

Databand.ai

AUGUST 30, 2023

DataOps is a collaborative approach to data management that combines the agility of DevOps with the power of data analytics. It aims to streamline data ingestion, processing, and analytics by automating and integrating various data workflows.

Architecture

Architecture Data Ingestion Data Governance Data Cleanse

Data Pipeline Architecture Explained: 6 Diagrams and Best Practices

Monte Carlo

JUNE 14, 2023

Why is data pipeline architecture important? Databricks – Databricks, the Apache Spark-as-a-service platform, has pioneered the data lakehouse, giving users the options to leverage both structured and unstructured data and offers the low-cost storage features of a data lake.

Data Pipeline

Data Pipeline Architecture Data Lake Data Warehouse

The Modern Data Stack: What It Is, How It Works, Use Cases, and Ways to Implement

AltexSoft

MARCH 14, 2023

Data storage The tools mentioned in the previous section are instrumental in moving data to a centralized location for storage, usually, a cloud data warehouse, although data lakes are also a popular option. But this distinction has been blurred with the era of cloud data warehouses.

IT Data Warehouse Data Governance Data Lake

Data Engineering Digest

DataOps Architecture: 5 Key Components and How to Get Started

Data Pipeline Architecture Explained: 6 Diagrams and Best Practices

The Modern Data Stack: What It Is, How It Works, Use Cases, and Ways to Implement

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