Towards Data Science

MARCH 9, 2023

Although within a big data context, Apache Spark’s MLLib tends to overperform scikit-learn due to its fit for distributed computation, as it is designed to run on Spark. Datasets containing attributes of Airbnb listings in 10 European cities ¹ will be used to create the same Pipeline in scikit-learn and MLLib. Source: The author.

Machine Learning 73

Machine Learning Building Datasets Big Data 73

Ascend.io

MAY 24, 2023

of the total GDP in 2021, amounting to $4.3 Let’s take a look at some of the datasets that we receive from hospitals. Biome Analytics receives two types of datasets from hospitals: financial and clinical datasets. The financial dataset includes cost-related information for each procedure, service, or diagnosis.

Healthcare 52

Healthcare Data Pipeline Hospitality Datasets 52

Monte Carlo

MAY 31, 2022

This article is sourced based on the interview between Lior Solomon, (now the former) VP of Engineering, Data, at Vimeo with the co-founders of Firebolt on their Data Engineering Show podcast which took place August 18, 2021. We have a couple of data warehouses with about a petabyte in Snowflake, 1.5

BI 52

BI Data Warehouse Unstructured Data Machine Learning 52

Knowledge Hut

OCTOBER 4, 2023

Power BI has allowed me to contribute to various pragmatic projects across various domains, from data loading to visualization. I have read that the global data sphere will hold around 80zb of data in 2021. While the numbers are impressive (and a little intimidating), what would we do with the raw data without context?

BI 52

BI Systems Raw Data Business Intelligence 52

Rockset

SEPTEMBER 20, 2022

On-chain data has to be tied back to relevant off-chain datasets, which can require complex JOIN operations which lead to increased data latency. Image Source There are several companies that enable users to analyze on-chain data, such as Dune Analytics, Nansen, Ocean Protocol, and others.

PostgreSQL 52

PostgreSQL MongoDB SQL Database 52

AltexSoft

OCTOBER 3, 2022

They allow for representing various types of data and content (data schema, taxonomies, vocabularies, and metadata) and making them understandable for computing systems. So, in terms of a “graph of data”, a dataset is arranged as a network of nodes, edges, and labels rather than tables of rows and columns.

Relational Database 52

Relational Database Banking Media Computer Science 52

Rockset

OCTOBER 6, 2022

Consequently, we needed a data backend with the following characteristics: Scale With ~50 commits per working day (and thus at least 50 pull request updates per day) and each commit running over one million tests, you can imagine the storage/computation required to upload and process all our data.

AWS 52

AWS Data Schemas Accessible Accessibility 52