Edureka

FEBRUARY 9, 2023

Some of the top skills to include are: Experience with Azure data storage solutions: Azure Data Engineers should have hands-on experience with various Azure data storage solutions such as Azure Cosmos DB, Azure Data Lake Storage, and Azure Blob Storage.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

MAY 23, 2024

Data scientists find various applications of Matlab, especially for signal and image processing, simulation of the neural network, or testing of different data science models. After Python and R, it is the most popular data science programming language that is gaining momentum and popularity among data scientists.

Data Science 52

Data Science MongoDB Programming Language Unstructured Data 52

Edureka

JUNE 1, 2023

It provides an advanced features to process and analyze the huge amount of data in a day to day world. Why Prefer Cloud for Data Analytics? Cloud technology can be used to build entire data lakes, data warehousing, and data analytics solutions.

AWS 52

AWS Data Analytics Cloud Amazon Web Services 52

ProjectPro

JANUARY 27, 2023

Top ETL Business Use Cases for Streamlining Data Management Data Quality - ETL tools can be used for data cleansing, validation, enriching, and standardization before loading the data into a destination like a data lake or data warehouse.

BI 52

BI ETL Tools Retail Healthcare 52

ProjectPro

DECEMBER 7, 2021

Generally, data pipelines are created to store data in a data warehouse or data lake or provide information directly to the machine learning model development. Keeping data in data warehouses or data lakes helps companies centralize the data for several data-driven initiatives.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

ProjectPro

AUGUST 24, 2021

So, work on projects that guide you on how to build end-to-end ETL/ELT data pipelines. Big Data Tools: Without learning about popular big data tools, it is almost impossible to complete any task in data engineering. Upload it to Azure Data lake storage manually.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

AltexSoft

FEBRUARY 11, 2023

It serves as a foundation for the entire data management strategy and consists of multiple components including data pipelines; , on-premises and cloud storage facilities – data lakes , data warehouses , data hubs ;, data streaming and Big Data analytics solutions ( Hadoop , Spark , Kafka , etc.);

Data Architect 87

Data Architect Certification Generalist Big Data 87