Cloudera

JUNE 18, 2022

In recent years, the term “data lakehouse” was coined to describe this architectural pattern of tabular analytics over data in the data lake. In a rush to own this term, many vendors have lost sight of the fact that the openness of a data architecture is what guarantees its durability and longevity.

Data Lake 90

Data Lake Data Warehouse BI SQL 90

Monte Carlo

MARCH 9, 2023

Some of the leading data teams have discovered ways to do exactly that by leveraging data observability to automatically monitor and alert when accuracy levels dip below acceptable standards. That is what JetBlue did as described by data scientist Derrick Olson in a recent Snowflake webinar. JetBlue’s data architecture.

Engineering 52

Engineering Data Pipeline Machine Learning Data Science 52

Knowledge Hut

SEPTEMBER 29, 2023

By combining data from various structured and unstructured data systems into structures, Microsoft Azure Data Engineers will be able to create analytics solutions. Why Should You Get an Azure Data Engineer Certification? Data Scientist: To extract value from data, data scientists execute sophisticated analytics.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Knowledge Hut

NOVEMBER 28, 2023

Technical Data Engineer Skills 1.Python Python Python is one of the most looked upon and popular programming languages, using which data engineers can create integrations, data pipelines, integrations, automation, and data cleansing and analysis.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

Cloudera

AUGUST 30, 2022

Modern data architectures. To eliminate or integrate these silos, the public sector needs to adopt robust data management solutions that support modern data architectures (MDAs). Deploying modern data architectures. Lack of sharing hinders the elimination of fraud, waste, and abuse.

Data Architecture 76

Data Architecture Architecture Data Lake NoSQL 76

Monte Carlo

JUNE 14, 2023

Data observability platforms reduce your data downtime up to 80% and make your data engineers 30% more time efficient by replacing static, cumbersome data testing with machine learning models that can help detect, resolve, and prevent data issues. Learn more by checking out the webinar they did with Snowflake.

Data Pipeline 52

Data Pipeline Architecture Data Lake Data Warehouse 52

Monte Carlo

MAY 17, 2023

Before data scientists or data analyst can do anything interesting with the data, they often need to spend time verifying the lineage, ensure there aren’t any missing rows, and other general cleaning tasks. System Modernization and Optimization The only constant in data engineering is change.

Data 52

Data Data Pipeline Data Engineering Data Engineer 52