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 52

Architecture Data Ingestion Data Governance Data Cleanse 52

Knowledge Hut

DECEMBER 28, 2023

The Azure Data Engineer certification imparts to them a deep understanding of data processing, storage and architecture. By leveraging their proficiency, they enable organizations to transform raw data into valuable insights that drive business decisions. What is the Azure Data Engineer Certification?

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Ascend.io

DECEMBER 11, 2023

When data is infrequently updated or accessed, it’s possible to utilize raw data directly to fulfill business objectives, provided that cost and performance metrics are met. However, this approach quickly shows its limitations as data volume escalates. So, why is data orchestration a big deal?

Data Workflow 52

Data Workflow Data Pipeline Data Lake Data 52

phData: Data Engineering

SEPTEMBER 29, 2023

In reality, though, if you use data (read: any information), you are most likely practicing some form of data engineering every single day. Classically, data engineering is any process involving the design and execution of systems whose primary purpose is collecting and preparing raw data for user consumption.

Data Engineering 52

Data Engineering Data Engineer Engineering Algorithm 52

AltexSoft

MARCH 14, 2023

It must collect, analyze, and leverage large amounts of customer data from various sources, including booking history from a CRM system, search queries tracked with Google Analytics, and social media interactions. Built around a cloud data warehouse, data lake, or data lakehouse. Designed to be modular.

IT 59

IT Data Warehouse Data Governance Data Lake 59