Data Science Blog

JUNE 27, 2023

This architectural concept relies on event streaming as the core element of data delivery. In practical implementation, the Kappa architecture is commonly deployed using Apache Kafka or Kafka-based tools. Applications can directly read from and write to Kafka or an alternative message queue tool.

Big Data 130

Big Data Big Data Apache Kafka Database 130

Pickl AI

NOVEMBER 4, 2024

Additionally, Data Engineers implement quality checks, monitor performance, and optimise systems to handle large volumes of data efficiently. Differences Between Data Engineering and Data Science While Data Engineering and Data Science are closely related, they focus on different aspects of data.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

ODSC - Open Data Science

OCTOBER 9, 2024

What should you be looking for?

Apache Kafka 40

Apache Kafka AI AI Machine Learning 40

DagsHub

APRIL 7, 2024

Image generated with Midjourney In today’s fast-paced world of data science, building impactful machine learning models relies on much more than selecting the best algorithm for the job. Data scientists and machine learning engineers need to collaborate to make sure that together with the model, they develop robust data pipelines.

Machine Learning 59

Machine Learning Machine Learning ML ML 59

Pickl AI

JULY 8, 2024

Tools such as Python’s Pandas library, Apache Spark, or specialised data cleaning software streamline these processes, ensuring data integrity before further transformation. Step 3: Data Transformation Data transformation focuses on converting cleaned data into a format suitable for analysis and storage.

Data Pipeline 52

Data Pipeline Data Quality Database Apache Kafka 52

Dataconomy

FEBRUARY 23, 2023

Creating data pipelines and workflows Data engineers create data pipelines and workflows that enable data to be collected, processed, and analyzed efficiently. By creating efficient data pipelines and workflows, data engineers enable organizations to make data-driven decisions quickly and accurately.

Big Data 91

Big Data Big Data Data Engineering Data Engineering 91

Pickl AI

JULY 24, 2023

Typically, data is gathered over a predetermined period of time, and the batch is subsequently processed as a whole. When there is a delay in the availability of data for analysis and real-time processing is not necessary, this method works well.

Internet of Things 52

Internet of Things Apache Kafka ETL Azure 52