Data Science Blog

MARCH 14, 2023

Big Data Analytics erreicht die nötige Reife Der Begriff Big Data war schon immer etwas schwammig und wurde von vielen Unternehmen und Experten schnell auch im Kontext kleinerer Datenmengen verwendet. 2 Denn heute spielt die Definition darüber, was Big Data eigentlich genau ist, wirklich keine Rolle mehr. Computerwoche , 1.

Big Data 147

Big Data Big Data Apache Hadoop Data Science 147

DagsHub

OCTOBER 23, 2024

To combine the collected data, you can integrate different data producers into a data lake as a repository. A central repository for unstructured data is beneficial for tasks like analytics and data virtualization. Data Cleaning The next step is to clean the data after ingesting it into the data lake.

Machine Learning 52

Machine Learning Machine Learning Data Lakes AI 52

The MLOps Blog

OCTOBER 20, 2023

In 2014, Project Jupyter evolved from IPython. This typically involves dealing with complexities such as ensuring secure and simple access to internal data warehouses, data lakes, and databases. Before them, we had IPython, which was integrated into IDEs such as Spyder that tried to mimic the way RStudio or Matlab worked.

SQL 52

SQL Database Data Scientist Python 52

phData

NOVEMBER 9, 2023

A data warehouse is a centralized and structured storage system that enables organizations to efficiently store, manage, and analyze large volumes of data for business intelligence and reporting purposes. What is a Data Lake? What is the Difference Between a Data Lake and a Data Warehouse?

Data Warehouse 98

Data Warehouse Data Lakes Clustering Cloud Data 98

Alation

FEBRUARY 20, 2020

And this is why we’re excited to partner with Satyen Sangani, Venky Ganti, Aaron Kalb and the rest of the Alation team as they scale go-to-market for the Alation data catalog. Today most progressive data-centered businesses have modern data visualization tools and some form of data lake. It’s that simple.

Data Lakes 52

Data Lakes Data Visualization Machine Learning Machine Learning 52