Data Governance, Data Workflow, Metadata and NoSQL

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

The Top Data Strategy Influencers and Content Creators on LinkedIn

Databand.ai

DECEMBER 29, 2022

Follow Ravit on LinkedIn 5) Priya Krishnan Head of Product Management, Data and AI at IBM Priya is an innovative, customer-focused, data-driven product executive with over 16 years of experience in global product management, strategy, and GTM roles to commercialize and monetize in-demand enterprise solutions.

BI Consulting Data Science Data Governance

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

AltexSoft

MARCH 14, 2023

Databases store key information that powers a company’s product, such as user data and product data. The ones that keep only relational data in a tabular format are called SQL or relational database management systems (RDBMSs). The data governance, orchestration, and monitoring component in a modern data stack.

IT Data Warehouse Data Governance Data Lake

Data Engineering Digest

DataOps Architecture: 5 Key Components and How to Get Started

The Top Data Strategy Influencers and Content Creators on LinkedIn

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

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