Smart Data Collective

AUGUST 9, 2019

Big data in the gaming industry has played a phenomenal role in the field. We have previously talked about the benefits of using big data by gaming providers that offer cash games, such as slots. However, more mainstream games use big data as well. Big Data is the Lynchpin of the Fortnite Gaming Experience.

Big Data 96

Big Data Big Data Data Lakes Machine Learning 96

Data Science 101

NOVEMBER 7, 2019

Azure Synapse Analytics can be seen as a merge of Azure SQL Data Warehouse and Azure Data Lake. Synapse allows one to use SQL to query petabytes of data, both relational and non-relational, with amazing speed. Those are the big data science announcements of the week. Azure Synapse.

Data Science 106

Data Science Azure SQL Machine Learning 106

ODSC - Open Data Science

SEPTEMBER 29, 2023

Research analyst firm Statista forecasts global data creation will hit 180 zettabytes by 2025. Such growth makes it difficult for many enterprises to leverage big data; they end up spending valuable time and resources just trying to manage data and less time analyzing it. Spark is indeed a popular big data tool.

Data Lakes 52

Data Lakes Clustering Big Data Big Data 52

phData

NOVEMBER 8, 2024

Note : Cloud Data warehouses like Snowflake and Big Query already have a default time travel feature. However, this feature becomes an absolute must-have if you are operating your analytics on top of your data lake or lakehouse. It can also be integrated into major data platforms like Snowflake.

Data Lakes 52

Data Lakes Data Warehouse Database Azure 52

DagsHub

DECEMBER 11, 2023

Adding new data to the storage requires pulling the existing data, then calculating the new hash before pushing back the whole data. Dolt Created in 2019, Dolt is an open-source tool for managing SQL databases that uses version control similar to Git. Git LFS requires a LFS server to work.

Machine Learning 98

Machine Learning Machine Learning Data Lakes Data Science 98

Dataconomy

SEPTEMBER 4, 2023

Big data analytics: Big data analytics is designed to handle massive volumes of data from various sources, including structured and unstructured data. Big data analytics is essential for organizations dealing with large-scale data, such as social media platforms, e-commerce giants, and scientific research.

Analytics 203

Analytics Analytics Big Data Analytics Big Data Analytics 203

AWS Machine Learning Blog

DECEMBER 7, 2023

He joined Getir in 2019 and currently works as a Senior Data Science & Analytics Manager. His team is responsible for designing, implementing, and maintaining end-to-end machine learning algorithms and data-driven solutions for Getir. He then joined Getir in 2019 and currently works as Data Science & Analytics Manager.

AWS 128

AWS Algorithm Data Science Machine Learning 128