DagsHub

OCTOBER 23, 2024

There are 5 stages in unstructured data management: Data collection Data integration Data cleaning Data annotation and labeling Data preprocessing Data Collection The first stage in the unstructured data management workflow is data collection. mp4,webm, etc.), and audio files (.wav,mp3,acc,

Machine Learning 52

Machine Learning Machine Learning Data Lakes AI 52

phData

MARCH 29, 2024

Founded in 2014 by three leading cloud engineers, phData focuses on solving real-world data engineering, operations, and advanced analytics problems with the best cloud platforms and products. Over the years, one of our primary focuses became Snowflake and migrating customers to this leading cloud data platform.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

phData

NOVEMBER 9, 2023

A cloud data warehouse is designed to combine a concept that every organization knows, namely a data warehouse, and optimizes the components of it, for the cloud. Effectively this is a way to store the source of truth and build (or rebuild) your downstream data products (including data warehouses) from it.

Data Warehouse 98

Data Warehouse Data Lakes Clustering Cloud Data 98

AssemblyAI

AUGUST 15, 2023

Around 2012 to 2014, developers proposed updating these modules, but were told to use third party libraries instead. Postgres Replication Issue There is an update on work to address lag in Postgres replication for the data engineering team. However, over time these modules became outdated.

Python 52

Python Machine Learning Machine Learning Algorithm 52

Alation

SEPTEMBER 28, 2022

DataOps is a set of technologies, processes, and best practices that combine a process-focused perspective on data and the automation methods of the Agile software development methodology to improve speed and quality and foster a collaborative culture of rapid, continuous improvement in the data analytics field. Source: Google Trends.

DataOps 52

DataOps Data Pipeline Data Quality Analytics 52

DrivenData Labs

DECEMBER 11, 2024

Looking back ¶ When we started DrivenData in 2014, the application of data science for social good was in its infancy. There was rapidly growing demand for data science skills at companies like Netflix and Amazon. Prominent use cases focused on marketing and content recommendations.

Data Science 147

Data Science Data Scientist Machine Learning Machine Learning 147

phData

MAY 25, 2023

Having gone public in 2020 with the largest tech IPO in history, Snowflake continues to grow rapidly as organizations move to the cloud for their data warehousing needs. Snowflake was originally launched in October 2014, but it wasn’t until 2018 that Snowflake became available on Azure.

Power BI 84

Power BI Analytics Analytics Azure 84

ODSC - Open Data Science

JANUARY 29, 2024

These outputs, stored in vector databases like Weaviate, allow Prompt Enginers to directly access these embeddings for tasks like semantic search, similarity analysis, or clustering. GANs, introduced in 2014 paved the way for GenAI with models like Pix2pix and DiscoGAN.

Data Science 52

Data Science Machine Learning Machine Learning Natural Language Processing 52

Data Science Blog

JULY 9, 2024

Über Exasol-CEO Martin Golombek Mathias Golombek ist seit Januar 2014 Mitglied des Vorstands der Exasol AG. Seitdem ging es für ihn auf der Karriereleiter steil nach oben: Ein Jahr danach verantwortete er das Database-Optimizer-Team. Im Jahr 2007 folgte die Position des Head of Research & Development.

Business Intelligence 130

Business Intelligence Business Intelligence Data Science ML 130

Data Science Blog

MARCH 19, 2024

Über Exasol-CEO Martin Golombek Mathias Golombek ist seit Januar 2014 Mitglied des Vorstands der Exasol AG. Durch die Ausführung von ML-Modellen direkt in der Exasol-Datenbank können sie so die maximale Menge an Daten nutzen und das volle Potenzial ihrer Datenschätze ausschöpfen.

Data Science 130

Data Science AI AI Business Intelligence 130