Dataversity

MARCH 18, 2022

Weinberg [1] In March 2019, one of us (Thomas C. Redman) served as the judge in a mock trial of a data architect (played by Laura Sebastian Coleman) […]. The post What Data Practitioners Need to Know (and Do) About Common Language appeared first on DATAVERSITY.

Data Governance 52

Data Governance Data Quality Data Modeling Data Models 52

ODSC - Open Data Science

APRIL 28, 2023

Whether it’s an insurance company leveraging location for better underwriting or risk assessment, a financial services organization enriching transactions for validation and accurate merchant assignment, or a telecommunications company optimizing 5G rollouts and creating new services, there’s one essential commonality: location data.

ML 98

ML ML Data Silos Data Quality 98

Hacker News

NOVEMBER 14, 2023

In 2019 Lotus Notes was acquired by HCL, and since then longevity of support has been wavering. As a result, since 2019, technology teams have been trying to migrate many of our systems to new technologies. The data from D10 was never actually transferred to D11, meaning the business is now using 2 systems instead of 1.

Power BI 125

Power BI Database Algorithm Azure 125

Tableau

DECEMBER 1, 2021

The Salesforce purchase in 2019. Tableau had its IPO at the NYSE with the ticker DATA in 2013. The Salesforce acquisition in August 2019 ended the Tableau board and the last formal Tableau roles for Chris, Pat, and Christian. April 2018), which focused on users who do understand joins and curating federated data sources.

Tableau 98

Tableau ML ML Database 98

AWS Machine Learning Blog

DECEMBER 12, 2023

His research interests span the domain of sequential data modeling, learning partial differential equations, information theory for machine learning, fractional dynamical models, and complex networks. Before joining AWS, he worked at Baidu research as a distinguished scientist and the head of Baidu Big Data Laboratory.

AWS 124

AWS Machine Learning Machine Learning Deep Learning 124

phData

MAY 25, 2023

The December 2019 release of Power BI Desktop introduced a native Snowflake connector that supported SSO and did not require driver installation. Use Power BI’S Native Snowflake Connector You can connect Power BI to Snowflake just like you can connect Power BI to any other database using the native connector that was released in 2019.

Power BI 84

Power BI Analytics Analytics Azure 84

AWS Machine Learning Blog

JULY 29, 2024

Launched in August 2019, Forecast predates Amazon SageMaker Canvas , a popular low-code no-code AWS tool for building, customizing, and deploying ML models, including time series forecasting models.

ML 112

ML ML Algorithm AWS 112

Alation

FEBRUARY 13, 2020

A key finding of the survey is that the ability to find data contributes greatly to the success of BI initiatives. In the study, 75% of the 770 survey respondents indicated having difficulty in locating and accessing analytic content including data, models, and metadata. Get the 2019 Dresner Data Catalog Study.

Business Intelligence 52

Business Intelligence Business Intelligence Analytics Analytics 52

AWS Machine Learning Blog

APRIL 29, 2024

Metaflow overview Metaflow was originally developed at Netflix to enable data scientists and ML engineers to build ML/AI systems quickly and deploy them on production-grade infrastructure. Metaflow helps engineers manage the infrastructure, making sure it integrates with existing systems and policies effortlessly.

AWS 125

AWS ML ML Python 125

DagsHub

DECEMBER 11, 2023

DagsHub DagsHub is a centralized Github-based platform that allows Machine Learning and Data Science teams to build, manage and collaborate on their projects. In addition to versioning code, teams can also version data, models, experiments and more.

Machine Learning 98

Machine Learning Machine Learning Data Lakes Database 98

DataRobot Blog

OCTOBER 11, 2022

What I am going to share with you is how I went from using publicly available data to building and testing various cutting edge machine learning techniques to gaining critical insights around reliably predicting race completion time in less than a week! The How – Data, Modeling, and Predictions! Racing Data Summary.

ML 52

ML ML Machine Learning Machine Learning 52

phData

SEPTEMBER 13, 2023

Some third-party tools like Fivetran provide exceptional data modeling capabilities, which can be extremely helpful down the road. This is the easiest and fastest way to onboard your data into Snowflake. Advantages Salesforce Sync Out offers a range of advantages for data integration.

Tableau 52

Tableau Data Pipeline Data Silos Analytics 52

O'Reilly Media

JULY 20, 2021

In 2019, YouTube had to settle with the FTC for a $170 million fine for selling ads targeting children. With enough data, models can be created to “read between the lines” in both helpful and dangerous ways. Children make identity and privacy especially tricky. About 40% of all households have a child.

ML 134

ML ML Machine Learning Machine Learning 134

Heartbeat

DECEMBER 7, 2023

Data should be designed to be easily accessed, discovered, and consumed by other teams or users without requiring significant support or intervention from the team that created it. Data should be created using standardized data models, definitions, and quality requirements. How does it?

Data Governance 52

Data Governance Deep Learning Deep Learning Artificial Intelligence 52

Mlearning.ai

JUNE 7, 2023

Inferentia1: The first-generation AWS Inferentia accelerator powers Amazon EC2 Inf1 instances launched in 2019. archive with all our model artifacts saved into model/, e.g. model.neuron and upload this to Amazon S3. into the code/ directory of the model directory. ! Inf1 accelerators can deliver up to 2.3x copy inference.py

AWS 52

AWS Deep Learning Deep Learning AI 52

Snorkel AI

MARCH 1, 2023

Unsupervised learning requires no labels and identifies underlying patterns in the data. Model architectures that qualify as “supervised learning”—from traditional regression models to random forests to most neural networks—require labeled data for training. What are some examples of Foundation Models?

Natural Language Processing 83

Natural Language Processing Supervised Learning Machine Learning Machine Learning 83

Flipboard

JULY 31, 2023

Nowadays, with the advent of deep learning and convolutional neural networks, this process can be automated, allowing the model to learn the most relevant features directly from the data. Model Training: With the labeled data and identified features, the next step is to train a machine learning model.

Machine Learning 123

Machine Learning Machine Learning Deep Learning Deep Learning 123

Tableau

JUNE 26, 2021

In blogs this month, past winners shared their ideas, including Joshua Smith (2019 co-champion) and Sarah Bartlett (2018 finalist). Maggy Muellner, Playfair Data : 3 Innovative Ways to Use Filters in Tableau. Keith Dykstra, InterWorks : Pivoting Without Changing Granularity: A New Use for Tableau’s Relational Data Model.

Tableau 109

Tableau Data Modeling Data Models Analytics 109

Tableau

JUNE 26, 2021

In blogs this month, past winners shared their ideas, including Joshua Smith (2019 co-champion) and Sarah Bartlett (2018 finalist). Maggy Muellner, Playfair Data : 3 Innovative Ways to Use Filters in Tableau. Keith Dykstra, InterWorks : Pivoting Without Changing Granularity: A New Use for Tableau’s Relational Data Model.

Tableau 52

Tableau Data Modeling Data Models Analytics 52

AWS Machine Learning Blog

OCTOBER 11, 2024

data # Assing local directory path to a python variable local_data_path = ". . By using the flexible document data model of MongoDB Atlas, organizations can represent and query complex knowledge entities and their relationships within Amazon Bedrock.

Database 104

Database AWS Clustering Data Lakes 104