Towards AI

APRIL 4, 2023

Last Updated on April 4, 2023 by Editorial Team Introducing a Python SDK that allows enterprises to effortlessly optimize their ML models for edge devices. We sketch out ideas in notebooks, build data pipelines and training scripts, and integrate with a vibrant ecosystem of Python tools.

ML 98

ML ML Python Machine Learning 98

phData

NOVEMBER 28, 2023

In July 2023, Matillion launched their fully SaaS platform called Data Productivity Cloud, aiming to create a future-ready, everyone-ready, and AI-ready environment that companies can easily adopt and start automating their data pipelines coding, low-coding, or even no-coding at all.

Data Warehouse 52

Data Warehouse Data Pipeline ETL Azure 52

phData

SEPTEMBER 15, 2023

Salesforce Sync Out is a crucial tool that enables businesses to transfer data from their Salesforce platform to external systems like Snowflake, AWS S3, and Azure ADLS. The Salesforce Sync Out connector moves Salesforce data directly into Snowflake, simplifying the data pipeline and reducing latency.

Data Warehouse 52

Data Warehouse Tableau Data Silos Analytics 52

phData

DECEMBER 4, 2023

The software you might use OAuth with includes: Tableau Power BI Sigma Computing If so, you will need an OAuth provider like Okta, Microsoft Azure AD, Ping Identity PingFederate, or a Custom OAuth 2.0 When to use SCIM vs phData's Provision Tool SCIM manages users and groups with Azure Active Directory or Okta. authorization server.

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Clustering Database SQL Data Pipeline 98

The MLOps Blog

JANUARY 23, 2023

Dolt LakeFS Delta Lake Pachyderm Git-like versioning Database tool Data lake Data pipelines Experiment tracking Integration with cloud platforms Integrations with ML tools Examples of data version control tools in ML DVC Data Version Control DVC is a version control system for data and machine learning teams.

ML 52

ML ML Data Lakes Machine Learning 52

Mlearning.ai

FEBRUARY 16, 2023

The platform enables quick, flexible, and convenient options for storing, processing, and analyzing data. The solution was built on top of Amazon Web Services and is now available on Google Cloud and Microsoft Azure. Entrust your project to our experts, and we’ll identify your unique path to advanced and profitable data operations.

Data Warehouse 52

Data Warehouse Business Intelligence Business Intelligence Database 52

DagsHub

DECEMBER 11, 2023

A complete overview revealing a diverse range of strengths and weaknesses for each data versioning tool. It does not support the ‘dvc repro’ command to reproduce its data pipeline. DVC Released in 2017, Data Version Control ( DVC for short) is an open-source tool created by iterative.

Machine Learning 98

Machine Learning Machine Learning Data Lakes Database 98

phData

JULY 5, 2024

In a survey conducted in 2023 , over three-quarters of the executives surveyed believed that artificial intelligence would disrupt their business strategy. The generative AI solutions from GCP Vertex AI, AWS Bedrock, Azure AI, and Snowflake Cortex all provide access to a variety of industry-leading foundational models.

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AI AI Database AWS 52

phData

SEPTEMBER 27, 2024

In transitional modeling, we’d add new atoms: Subject: Customer#1234 Predicate: hasEmailAddress Object: "john.new@example.com" Timestamp: 2023-07-24T10:00:00Z The old email address atoms are still there, giving us a complete history of how to contact John. Both persistent staging and data lakes involve storing large amounts of raw data.

Data Models 52

Data Models Data Modeling Apache Kafka Data Lakes 52

AWS Machine Learning Blog

SEPTEMBER 11, 2024

The Inferentia chip became generally available (GA) in December 2019, followed by Trainium GA in October 2022, and Inferentia2 GA in April 2023. In November 2023, AWS announced the next generation Trainium2 chip. High demand has risen from a range of sectors, including crypto mining, gaming, generic data processing, and AI.

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AWS ML ML Clustering 90

phData

JULY 18, 2023

The Ultimate Modern Data Stack Migration Guide phData Marketing July 18, 2023 This guide was co-written by a team of data experts, including Dakota Kelley, Ahmad Aburia, Sam Hall, and Sunny Yan. Imagine a world where all of your data is organized, easily accessible, and routinely leveraged to drive impactful outcomes.

Data Warehouse 52

Data Warehouse Analytics Analytics Cloud Data 52

The MLOps Blog

MARCH 21, 2023

You don’t need a bigger boat : The repository curated by Jacopo Tagliabue shows how several (mostly open-source) tools can be effectively combined together to run data pipelines at scale with very small teams. Solution Data lakes and warehouses are the two key components of any data pipeline.

Machine Learning 69

Machine Learning Machine Learning Data Scientist ML 69