article thumbnail

How Monte Carlo and Snowflake Gave Vimeo a “Get Out Of Jail Free” Card For Data Fire Drills

Monte Carlo

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
article thumbnail

Power BI System Requirements Specification of 2023

Knowledge Hut

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
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

3 Use Cases for Real-Time Blockchain Analytics

Rockset

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.

article thumbnail

PyTorch Infra's Journey to Rockset

Rockset

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
article thumbnail

Apache Spark MLlib vs Scikit-learn: Building Machine Learning Pipelines

Towards Data Science

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.

article thumbnail

Mastering Healthcare Data Pipelines: A Comprehensive Guide from Biome Analytics

Ascend.io

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.

article thumbnail

Knowledge Graphs: The Essential Guide

AltexSoft

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.