Pickl AI

NOVEMBER 4, 2024

Effective data governance enhances quality and security throughout the data lifecycle. What is Data Engineering? Data Engineering is designing, constructing, and managing systems that enable data collection, storage, and analysis. They are crucial in ensuring data is readily available for analysis and reporting.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

Pickl AI

DECEMBER 9, 2024

What is Apache Kafka, and Why is it Used? Apache Kafka is a distributed messaging system that handles real-time data streaming for building scalable, fault-tolerant data pipelines. Explain the CAP theorem and its relevance in Big Data systems. Have You Ever Worked With Real-Time Data Streams?

Big Data 52

Big Data Big Data Hadoop Apache Kafka 52

The MLOps Blog

FEBRUARY 5, 2023

This pipeline facilitates the smooth, automated flow of information, preventing many problems that enterprises face, such as data corruption, conflict, and duplication of data entries. A streaming data pipeline is an enhanced version which is able to handle millions of events in real-time at scale. Happy Learning!

Machine Learning 72

Machine Learning Machine Learning Data Pipeline Apache Kafka 72

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

DagsHub

OCTOBER 23, 2024

With proper unstructured data management, you can write validation checks to detect multiple entries of the same data. Continuous learning: In a properly managed unstructured data pipeline, you can use new entries to train a production ML model, keeping the model up-to-date.

Machine Learning 52

Machine Learning Machine Learning Data Lakes AI 52

DagsHub

JANUARY 14, 2025

A simple python implementation is shown below. Below is a sample python code snippet demonstrating fuzzy matching using Levenshtein distance. It would help to improve the process in future by creating a clear audit trail of how duplicate records are identified and handled throughout the data pipeline.

Machine Learning 52

Machine Learning Machine Learning Clustering Algorithm 52

Data Science Dojo

MARCH 9, 2023

It requires minimal operational maintenance and allows for rapid development, resulting in significant cost savings and reduced development time for data-focused developers and engineers. Handling too many data sources can become overwhelming, especially with complex schemas. Debugging and troubleshooting can also be challenging.

Apache Kafka 284

Apache Kafka Azure Data Science Data Pipeline 284

Pickl AI

MARCH 19, 2025

Summary: Data engineering tools streamline data collection, storage, and processing. Tools like Python, SQL, Apache Spark, and Snowflake help engineers automate workflows and improve efficiency. Learning these tools is crucial for building scalable data pipelines.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52