This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
As 2020 begins, there has been limited clouddata science announcements so I put together some predictions. Here are 3 things I believe will happen in 2020. Cloud Collaboration. I think we are going to see more interoperability between the major cloud providers. It even does some feature engineer.
Welcome to CloudData Science 5. There were not as many announcements as last week in CloudData Science 4 , but quantity is not what is important. The first course in this series should be arriving in February 2020. The post CloudData Science 5 appeared first on Data Science 101.
The CloudData Science world is keeping busy. AWS DeepRacer 2020 Season is underway This looks to be a fun project. The post CloudData Science 10 appeared first on Data Science 101. Lots of happenings this week. Also, the coronavirus is affecting many upcoming conferences, so just be aware of that.
Welcome to CloudData Science 8. This weeks news includes information about AWS working with Azure, time-series, detecting text in videos and more. Amazon Redshift now supports Authentication with Microsoft Azure AD Redshift, a data warehouse, from Amazon now integrates with Azure Active Directory for login.
Lots of announcements this week, so without delay, let’s get right to CloudData Science 9. Google Announces Cloud SQL for Microsoft SQL Server Google’s Cloud SQL now supports SQL Server in addition to PostgreSQL and MySQL Google Opens a new Cloud Region Located in Salt Lake City, Utah, it is named us-west3.
2020 is here. Unfortunately, it did not bring a flurry of data science announcements. I did create my list of 3 predictions for 2020, so those will be coming out soon. Machine Learning with Kubernetes on AWS A talk from Container Day 2019 in San Diego. It allows one to copy the data into an S3 bucket for analyzing.
2020 is now in full swing and the announcements are starting to show up. Google Releases a tool for Automated Exploratory Data Analysis Exploring data is one of the first activities a data scientist performs after getting access to the data. It focuses on using AWS products to solve data science problems.
For more information about distributed training with SageMaker, refer to the AWS re:Invent 2020 video Fast training and near-linear scaling with DataParallel in Amazon SageMaker and The science behind Amazon SageMaker’s distributed-training engines. In a later post, we will do a deep dive into the DNNs used by ADAS systems.
That’s why when it was announced that Alation achieved Amazon Web Services (AWS) Data and Analytics Competency in the data governance and security category, we were not only honored to receive this coveted designation, but we were also proud that it confirms the synergy — and customer benefits — of our AWS partnership.
This is a great talk for data scientists and managers of technology teams. If you do data science in 2020 or beyond, there is a good chance the cloud will be involved.
This is a great talk for data scientists and managers of technology teams. If you do data science in 2020 or beyond, there is a good chance the cloud will be involved.
EO data is not yet a commodity and neither is environmental information, which has led to a fragmented data space defined by a seemingly endless production of new tools and services that can’t interoperate and aren’t accessible by people outside of the deep tech community ( read more ). BUILDING EARTH OBSERVATION DATA CUBES ON AWS.
Snowflake is a cloud computing–based datacloud company that provides data warehousing services that are far more scalable and flexible than traditional data warehousing products. Gateways are being used as another layer of security between Snowflake or clouddata source and Power BI users.
We organize all of the trending information in your field so you don't have to. Join 17,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content