Knowledge Hut

OCTOBER 30, 2023

Data Transformation and ETL: Handle more complex data transformation and ETL (Extract, Transform, Load) processes, including handling data from multiple sources and dealing with complex data structures. Ensure compliance with data protection regulations. Identify and address bottlenecks and performance issues.

BI 52

BI Business Intelligence Data Cleanse Business Analyst 52

Snowflake

DECEMBER 5, 2023

This lets them leverage the familiar development interface of a notebook while directing complex data preparation and feature engineering steps to run in Snowflake (rather than having to copy and manage copies of data inside their notebook instance).

AWS 101

AWS Amazon Web Services Government Cloud Computing 101

Knowledge Hut

APRIL 25, 2023

While they go about it - enter big data data engineer tools. These tools give data engineers a hand in meeting various requirements in the pipeline. Here, we'll take a look at the top data engineer tools in 2023 that are essential for data professionals to succeed in their roles.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

AltexSoft

MARCH 30, 2023

Source: The Data Team’s Guide to the Databricks Lakehouse Platform Integrating with Apache Spark and other analytics engines, Delta Lake supports both batch and stream data processing. Besides that, it’s fully compatible with various data ingestion and ETL tools. The open source platform works with Java , Python, and R.

Scala 64

Scala Data Lake BI Google Cloud 64

ProjectPro

FEBRUARY 21, 2023

But with several big data certifications available in the market, it often gets confusing for data engineers to pick the right one for themselves. This blog covers the most valuable data engineering certifications worth paying attention to in 2023 if you plan to land a successful job in the data engineering domain.

Certification 52

Certification Data Engineering Data Engineer Engineering 52