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Big Data vs Data Warehouse

Marktechpost

With their own unique architecture, capabilities, and optimum use cases, data warehouses and big data systems are two popular solutions. The differences between data warehouses and big data have been discussed in this article, along with their functions, areas of strength, and considerations for businesses.

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How Can The Adoption of a Data Platform Simplify Data Governance For An Organization?

Pickl AI

Falling into the wrong hands can lead to the illicit use of this data. Hence, adopting a Data Platform that assures complete data security and governance for an organization becomes paramount. In this blog, we are going to discuss more on What are Data platforms & Data Governance.

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Data architecture strategy for data quality

IBM Journey to AI blog

The first generation of data architectures represented by enterprise data warehouse and business intelligence platforms were characterized by thousands of ETL jobs, tables, and reports that only a small group of specialized data engineers understood, resulting in an under-realized positive impact on the business.

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18 Data Profiling Tools Every Developer Must Know

Marktechpost

You can optimize your costs by using data profiling to find any problems with data quality and content. Fixing poor data quality might otherwise cost a lot of money. The 18 best data profiling tools are listed below. It comes with an Informatica Data Explorer function to meet your data profiling requirements.

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Julian LaNeve, CTO at Astronomer – Interview Series

Unite.AI

Airflow provides the workflow management capabilities that are integral to modern cloud-native data platforms. Data platform architects leverage Airflow to automate the movement and processing of data through and across diverse systems, managing complex data flows and providing flexible scheduling, monitoring, and alerting.

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Popular Data Transformation Tools: Importance and Best Practices

Pickl AI

Introduction Data transformation plays a crucial role in data processing by ensuring that raw data is properly structured and optimised for analysis. Data transformation tools simplify this process by automating data manipulation, making it more efficient and reducing errors.

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Getir end-to-end workforce management: Amazon Forecast and AWS Step Functions

AWS Machine Learning Blog

Mutlu Polatcan is a Staff Data Engineer at Getir, specializing in designing and building cloud-native data platforms. Esra Kayabalı is a Senior Solutions Architect at AWS, specializing in the analytics domain including data warehousing, data lakes, big data analytics, batch and real-time data streaming and data integration.