Cloudyard

DECEMBER 15, 2024

Read Time: 2 Minute, 57 Second In fast-paced data environments, schemas evolve frequently to meet new business requirements. One of the common challenges in managing database views is ensuring they stay in sync with the underlying table schema. For example, when new columns are added to a table, the corresponding view might not automatically reflect these changes, leading to errors or incomplete data in downstream processes.

Retail 52

Retail Database Process Management 52

Data Engineering Weekly

DECEMBER 15, 2024

Data Engineering 45

Data Engineering Data Engineer Engineering Data 45

Hevo

DECEMBER 15, 2024

Introduction to Data Architecture Data architecture shows how data is managed, from collection to transformation to distribution and consumption. It tells about how data flows through the data storage systems. Data architecture is an important piece of data management. It is a framework that decides the data strategy for organizations.

Data Architecture 40

Data Architecture Architecture Data Storage Data 40

Hevo

DECEMBER 15, 2024

There is no denying the fact that in the modern business world, information reigns supreme because that is what is crucial in making decisions. The problem comes when this information is scattered across many systems and departments, making it difficult to access and analyze.

Data 40

Data Accessible Accessibility Systems 40

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Whether you’re creating complex dashboards or fine-tuning large language models, your data must be extracted, transformed, and loaded. ETL and ELT pipelines form the foundation of any data product, and Airflow is the open-source data orchestrator specifically designed for moving and transforming data in ETL and ELT pipelines. This eBook covers: An overview of ETL vs.

Architecture

Hevo

DECEMBER 15, 2024

The rapid growth of data is changing industries globally. According to Statista, in 2024, the overall amount of data created equaled 149 zettabytes, while the estimated number by 2028 is 394 zettabytes. This explosion in the volume of data makes seamless management and usage extremely important.

Data Integration 40

Data Integration Data Management Data Ingestion 40

Hevo

DECEMBER 15, 2024

Your organization’s data requirements are quite special in nature. As the volume and complexity of the data rises, your organization persistently seeks ways to obtain insightful information from everyday updates to stay ahead in the competition. This is where the use of Databricks overwrite functions—like Complete Overwrite and Insert Overwrite—keeps your datasets up-to-date and precise.

IT 40

IT Datasets Data Data Engineering 40