Data Engineering Podcast

JUNE 29, 2020

This was a great conversation about the complexities of working in a niche domain of data analysis and how to build a pipeline of high quality data from collection to analysis.

Data Collection 100

Data Collection Management High Quality Data Metadata 100

Knowledge Hut

APRIL 25, 2024

Recognizing the difference between big data and machine learning is crucial since big data involves managing and processing extensive datasets, while machine learning revolves around creating algorithms and models to extract valuable information and make data-driven predictions.

Machine Learning 52

Machine Learning Big Data Unstructured Data Data Mining 52

Knowledge Hut

APRIL 23, 2024

Gathering data at high velocities necessitates capturing and ingesting data streams as they occur, ensuring timely acquisition and availability for analysis. Utilizing is related to the data processing and analyzing speed for gleaning useful insights.

Big Data 52

Big Data Media Datasets Unstructured Data 52

Knowledge Hut

JUNE 28, 2023

It also entails data utilization, analysis techniques, user roles, and applications, allowing for a comprehensive comparison between business intelligence and data mining cycle. By examining these factors, organizations can make informed decisions on which approach best suits their data analysis and decision-making needs.

Data Mining 52

Data Mining Business Intelligence BI Datasets 52

Workfall

JULY 4, 2023

DBT’s superpowers include seamlessly connecting with databases and data warehouses, performing amazing transformations, and effortlessly managing dependencies to ensure high-quality data. Each successful deployment enriches its data ecosystem, empowering decision-makers with valuable, up-to-date insights.

Data Warehouse 69

Data Warehouse SQL PostgreSQL Database 69

Knowledge Hut

JANUARY 25, 2024

Automated data validation tools can also help detect anomalies, outliers, and inconsistencies. Language Translation: Unifying the Message Maintain consistency by keeping your data in one language. Most data analysis tools work best with single-language data. Generates clean scripts for further data processing.

Data Cleanse 52

Data Cleanse Datasets Data Preparation Data Science 52

Databand.ai

JULY 10, 2023

Data analysis: Processing and studying the collected data to recognize patterns, trends, and irregularities that can aid in diagnosing issues or boosting performance. Databand allows data engineering and data science teams to define data quality rules, monitor data consistency, and identify data drift or anomalies.

Data Pipeline 52

Data Pipeline Algorithm Raw Data Aggregated Data 52