Data Science Dojo

JULY 3, 2024

Big Data Technologies : Handling and processing large datasets using tools like Hadoop, Spark, and cloud platforms such as AWS and Google Cloud. Data Processing and Analysis : Techniques for data cleaning, manipulation, and analysis using libraries such as Pandas and Numpy in Python.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

Smart Data Collective

OCTOBER 17, 2022

While growing data enables companies to set baselines, benchmarks, and targets to keep moving ahead, it poses a question as to what actually causes it and what it means to your organization’s engineering team efficiency. What’s causing the data explosion? Big data analytics from 2022 show a dramatic surge in information consumption.

Big Data 119

Big Data Big Data Data Engineering Data Engineering 119

Mlearning.ai

JANUARY 26, 2023

In the context of Earth Observation (EO) projects, data cubes are time-series of spatiotemporal images or station data (points) representing measurements or predictions of biophysical variables. One way to make EO and environmental data more usable is to organize them through Cloud data services as Data Cubes.

AWS 98

AWS Database Data Science Clean Data 98

Data Science Blog

MARCH 14, 2023

Von Data Science spricht auf Konferenzen heute kaum noch jemand und wurde hype-technisch komplett durch Machine Learning bzw. AI wiederum scheint spätestens mit ChatGPT 2022/2023 eine neue Euphorie-Phase erreicht zu haben, mit noch ungewissem Ausgang. Fergus Gloster: Von Big Data reden aber Small Data meinen.

Big Data 147

Big Data Big Data Apache Hadoop Data Science 147