phData

JULY 2, 2024

Snowpark, offered by the Snowflake AI Data Cloud , consists of libraries and runtimes that enable secure deployment and processing of non-SQL code, such as Python, Java, and Scala. Developers can seamlessly build data pipelines, ML models, and data applications with User-Defined Functions and Stored Procedures.

Python 52

Python SQL Data Pipeline ML 52

phData

JULY 29, 2023

We’ve been focusing on two key areas: Microsoft SQL Server to Snowflake Data Cloud SQL translations and our new Advisor tool within the phData Toolkit. Operational Risks identify operational risks such as data loss or failures in the event of an unforeseen outage or disaster. Let’s dive in.

SQL 52

SQL Database Data Pipeline 52

The MLOps Blog

JUNE 27, 2023

” – James Tu, Research Scientist at Waabi Play with this project live For more: Dive into documentation Get in touch if you’d like to go through a custom demo with your team Comet ML Comet ML is a cloud-based experiment tracking and optimization platform. Flyte Flyte is a platform for orchestrating ML pipelines at scale.

Machine Learning 134

Machine Learning Machine Learning ML ML 134

phData

OCTOBER 25, 2024

It’s common to have terabytes of data in most data warehouses, data quality monitoring is often challenging and cost-intensive due to dependencies on multiple tools and eventually ignored. This results in poor credibility and data consistency after some time, leading businesses to mistrust the data pipelines and processes.

Data Quality 52

Data Quality Data Pipeline Data Governance Database 52

IBM Journey to AI blog

NOVEMBER 3, 2023

In this spirit, IBM introduced IBM Event Automation with an intuitive, easy to use, no code format that enables users with little to no training in SQL, java, or python to leverage events, no matter their role. Request a live demo to see how working with real-time events can benefit your business. Hungry for more?

Apache Kafka 79

Apache Kafka Data Warehouse Data Pipeline Big Data 79

AWS Machine Learning Blog

SEPTEMBER 24, 2024

An optional CloudFormation stack to deploy a data pipeline to enable a conversation analytics dashboard. This is where the content for the demo solution will be stored. For the demo solution, choose the default ( Claude V3 Sonnet ). For the hotel-bot demo, try the default of 4. Do not specify an S3 prefix.

AWS 94

AWS AI AI Natural Language Processing 94

phData

MARCH 1, 2024

This functionality eliminates the need for manual schema adjustments, streamlining the data ingestion process and ensuring quicker access to data for their consumers. As you can see in the above demo, it is incredibly simple to use INFER_SCHEMA and SCHEMA EVOLUTION features to speed up data ingestion into Snowflake.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

phData

JANUARY 31, 2024

For a short demo on Snowpark, be sure to check out the video below. Utilizing Streamlit as a Front-End At this point, we have all of our data processing, model training, inference, and model evaluation steps set up with Snowpark. What was once a SQL-based data warehousing tool is now so much more.

Machine Learning 52

Machine Learning Machine Learning Python Data Scientist 52

The MLOps Blog

SEPTEMBER 7, 2023

These combinations of Python code and SQL play a crucial role but can be challenging to keep them robust for their entire lifetime. Directives and architectural tricks for robust data pipelines Gain insights into an extensive array of directives and architectural strategies tailored for the development of highly dependable data pipelines.

Machine Learning 52

Machine Learning Machine Learning ETL ML 52

phData

AUGUST 22, 2024

Consider a data pipeline that detects its own failures, diagnoses the issue, and recommends the fix—all automatically. This is the potential of self-healing pipelines, and this blog explores how to implement them using dbt, Snowflake Cortex , and GitHub Actions.

SQL 52

SQL Data Quality Python Data Warehouse 52

Snorkel AI

JANUARY 24, 2023

Snowpark, which is Snowflake’s developer framework that extends the benefits of the Data Cloud beyond SQL to Python, Scala, and Java, can be used to scale batch inference across your Snowflake data warehouse. Schedule a custom demo tailored to your use case with our ML experts today.

AI 52

AI AI ML ML 52

Snorkel AI

JANUARY 24, 2023

Snowpark, which is Snowflake’s developer framework that extends the benefits of the Data Cloud beyond SQL to Python, Scala, and Java, can be used to scale batch inference across your Snowflake data warehouse. Schedule a custom demo tailored to your use case with our ML experts today.

AI 52

AI AI ML ML 52

Flipboard

NOVEMBER 24, 2023

This use case highlights how large language models (LLMs) are able to become a translator between human languages (English, Spanish, Arabic, and more) and machine interpretable languages (Python, Java, Scala, SQL, and so on) along with sophisticated internal reasoning.

Database 158

Database AWS ETL SQL 158

ODSC - Open Data Science

SEPTEMBER 20, 2023

Tuesday is the first day of the AI Expo and Demo Hall , where you can connect with our conference partners and check out the latest developments and research from leading tech companies. Finally, get ready for some All Hallows Eve fun with Halloween Data After Dark , featuring a costume contest, candy, and more. What’s next?

Data Wrangling 52

Data Wrangling Data Science Machine Learning Machine Learning 52

Mlearning.ai

JUNE 16, 2023

Generative AI can be used to automate the data modeling process by generating entity-relationship diagrams or other types of data models and assist in UI design process by generating wireframes or high-fidelity mockups. GPT-4 Data Pipelines: Transform JSON to SQL Schema Instantly Blockstream’s public Bitcoin API.

AI 52

AI AI Data Analysis Data Analysis 52

Alation

FEBRUARY 20, 2020

The rise of data lakes, IOT analytics, and big data pipelines has introduced a new world of fast, big data. With TrustCheck, best practices and compliance rules can be shared easily and embedded directly into the workflow of the data consumers. To see the full capabilities of TrustCheck, watch the full demo below.

Data Governance 52

Data Governance Tableau Analytics Analytics 52

The MLOps Blog

MARCH 21, 2023

An ML platform standardizes the technology stack for your data team around best practices to reduce incidental complexities with machine learning and better enable teams across projects and workflows. We ask this during product demos, user and support calls, and on our MLOps LIVE podcast. Data engineers are mostly in charge of it.

Machine Learning 69

Machine Learning Machine Learning Data Scientist ML 69