ProjectPro

JANUARY 24, 2023

A survey by Data Warehousing Institute TDWI found that AWS Glue and Azure Data Factory are the most popular cloud ETL tools with 69% and 67% of the survey respondents mentioning that they have been using them. Learn more about Big Data Tools and Technologies with Innovative and Exciting Big Data Projects Examples.

AWS 52

AWS Cloud Amazon Web Services ETL Tools 52

Knowledge Hut

NOVEMBER 17, 2023

You ought to be able to create a data model that is performance- and scalability-optimized. Programming and Scripting Skills Building data processing pipelines requires knowledge of and experience with coding in programming languages like Python, Scala, or Java. Learn how to process and analyze large datasets efficiently.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

ProjectPro

JANUARY 24, 2023

With over 20 pre-built connectors and 40 pre-built transformers, AWS Glue is an extract, transform, and load (ETL) service that is fully managed and allows users to easily process and import their data for analytics. Furthermore, AWS Glue DataBrew allows you to visually clean and normalize data without any code.

AWS 52

AWS Data Lake ETL Tools Scala 52

Knowledge Hut

DECEMBER 26, 2023

Using Big Data, they provide technical solutions and insights that can help achieve business goals. They transform data into easily understandable insights using predictive, prescriptive, and descriptive analysis. They are also responsible for improving the performance of data pipelines.

Data Science 97

Data Science BI Business Intelligence Data Mining 97

Knowledge Hut

SEPTEMBER 26, 2023

Data is necessary for everything, including analytics and traffic monitoring. Businesses require an infrastructure that educates their staff to sort and analyze this volume of data to handle such big data. Data engineering services can be used in this situation.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Edureka

FEBRUARY 9, 2023

In this blog on “Azure data engineer skills”, you will discover the secrets to success in Azure data engineering with expert tips, tricks, and best practices Furthermore, a solid understanding of big data technologies such as Hadoop, Spark, and SQL Server is required.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Mining 52

ProjectPro

JANUARY 19, 2022

Read this blog till the end to learn more about the roles and responsibilities, necessary skillsets, average salaries, and various important certifications that will help you build a successful career as an Azure Data Engineer. The big data industry is flourishing, particularly in light of the pandemic's rapid digitalization.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52