Dataconomy

SEPTEMBER 4, 2023

Dependency on service providers : Relying on third-party cloud service providers means your operations are dependent on their uptime and reliability. Downtime, like the AWS outage in 2017 that affected several high-profile websites, can disrupt business operations. Ensure that data is clean, consistent, and up-to-date.

Analytics 203

Analytics Analytics Big Data Analytics Big Data Analytics 203

Data Science 101

MARCH 7, 2019

In Late January 2019, Microsoft launched 3 new certifications aimed at Data Scientists/Engineers. They launched the Microsoft Professional Program in Data Science back in 2017. For a while, Microsoft has been toying with different methods for training and credentials.

Data Science 94

Data Science Azure Data Scientist Data Engineering 94

Alation

DECEMBER 15, 2022

May 2016: Alation named a Gartner Cool Vendor in their Data Integration and Data Quality, 2016 report. January 2017: MercadoLibre signs on as the first LATAM customer. June 2017: Dresner Advisory Services names Alation the #1 data catalog in its inaugural Data Catalog End-User Market Study.

Data Governance 52

Data Governance Data Quality Data Warehouse Data Scientist 52

phData

NOVEMBER 8, 2024

Versioning also ensures a safer experimentation environment, where data scientists can test new models or hypotheses on historical data snapshots without impacting live data. Note : Cloud Data warehouses like Snowflake and Big Query already have a default time travel feature.

Data Lakes 52

Data Lakes Data Warehouse Database Azure 52

Google Research AI blog

FEBRUARY 2, 2023

For example, when the Transformer model was first published in 2017, a popular GPU was the Nvidia P100. Computers for training needed to be housed in a data center. Large cloud data centers are typically ~1.4x more energy-efficient than the typical smaller on-premise data center. Mechanization.

ML 72

ML ML Algorithm Machine Learning 72

Alation

AUGUST 26, 2021

Data intelligence has thus evolved to answer these questions, and today supports a range of use cases. Examples of Data Intelligence use cases include: Data governance. Cloud Transformation. Cloud Data Migration. Let’s take a closer look at the role of DI in the use case of data governance.

Data Governance 64

Data Governance ML ML Augmented Analytics 64

Google Research AI blog

JANUARY 18, 2023

In this context, such models can take the raw output of sensors that are unlike any human senses, such as 3-D point cloud data from Lidar units on autonomous vehicles, and can combine this with data from other sensors, like vehicle cameras, to better understand the environment around them and to make better decisions.

ML 132

ML ML AI AI 132