Snorkel AI

MAY 26, 2023

[link] Ahmad Khan, head of artificial intelligence and machine learning strategy at Snowflake gave a presentation entitled “Scalable SQL + Python ML Pipelines in the Cloud” about his company’s Snowpark service at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. Welcome everybody.

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IBM Journey to AI blog

SEPTEMBER 11, 2023

Codd published his famous paper “ A Relational Model of Data for Large Shared Data Banks.” Boyce to create Structured Query Language (SQL). How Db2, AI and hybrid cloud work together AI- i nfused intelligence in IBM Db2 v11.5 Many consider a NoSQL database essential for high data ingestion rates.

Database 101

Database SQL Data Warehouse Machine Learning 101

phData

JUNE 23, 2023

The Snowflake Data Cloud was built natively for the cloud. When we think about cloud data transformations, one crucial building block is User Defined Functions (UDFs). SQL For basic implementations and use cases, SQL UDFs are perfect.

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phData

NOVEMBER 28, 2024

“ Vector Databases are completely different from your cloud data warehouse.” – You might have heard that statement if you are involved in creating vector embeddings for your RAG-based Gen AI applications. in a 2D space based on the machine learning algorithm used. The below flow diagram illustrates this process.

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phData

FEBRUARY 7, 2024

The Snowflake Data Cloud is a leading cloud data platform that provides various features and services for data storage, processing, and analysis. A new feature that Snowflake offers is called Snowpark, which provides an intuitive library for querying and processing data at scale in Snowflake.

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Alation

APRIL 14, 2022

This two-part series will explore how data discovery, fragmented data governance , ongoing data drift, and the need for ML explainability can all be overcome with a data catalog for accurate data and metadata record keeping. The Cloud Data Migration Challenge. Data pipeline orchestration.

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Mlearning.ai

FEBRUARY 16, 2023

Companies can build Snowflake databases expeditiously and use them for ad-hoc analysis by making SQL queries. Machine Learning Integration Opportunities Organizations harness machine learning (ML) algorithms to make forecasts on the data. ML models, in turn, require significant volumes of adequate data to ensure accuracy.

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AWS Machine Learning Blog

AUGUST 4, 2023

For more information about this process, refer to New — Introducing Support for Real-Time and Batch Inference in Amazon SageMaker Data Wrangler. Although we use a specific algorithm to train the model in our example, you can use any algorithm that you find appropriate for your use case.

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phData

SEPTEMBER 4, 2024

ThoughtSpot is a cloud-based AI-powered analytics platform that uses natural language processing (NLP) or natural language query (NLQ) to quickly query results and generate visualizations without the user needing to know any SQL or table relations.

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Pickl AI

JANUARY 9, 2025

Security monitoring tools track and analyse cloud infrastructure to identify anomalies, suspicious activities, or breaches. These tools often use machine learning algorithms to recognise patterns and potential threats that would be difficult for humans to detect. The systems could break existing encryption methods, risking cloud data.

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phData

JUNE 26, 2024

This is a perfect use case for machine learning algorithms that predict metrics such as sales and product demand based on historical and environmental factors. phData Retail Case Study phData helps many retail businesses answer these questions and more by utilizing their data to the fullest.

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Alation

NOVEMBER 16, 2021

It’s a critical component as we use data to develop better products and services for our customers and keep private data protected.”. Alation Policy Center empowers data stewards to govern Snowflake data. Stewards can further use Alation’s SQL query writing interface, Compose, to create new data policies easily.

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phData

MAY 6, 2024

Another benefit of deterministic matching is that the process to build these identities is relatively simple, and tools your teams might already use, like SQL and dbt , can efficiently manage this process within your cloud data warehouse. It thrives on patterns, combinations of data points, and statistical probabilities.

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phData

OCTOBER 28, 2024

Understanding Matillion and Snowflake, the Python Component, and Why it is Used Matillion is a SaaS-based data integration platform that can be hosted in AWS, Azure, or GCP and supports multiple cloud data warehouses. Matillion supports writing code in Python, Bash Script, and native ANSI SQL commands.

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phData

JULY 23, 2024

Snowflake 2024 Partner of the Year Fivetran 2024 Partner of the Year dbt 2023 Partner of the Year Alation 2024 SI Partner of the Year Automation With our extensive project experience, we have created in-house automation tools for many DE tasks, especially when using Snowflake AI Data Cloud as your cloud data provider.

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Machine Learning Machine Learning Data Engineer Data Engineering 52

phData

SEPTEMBER 27, 2024

Some modern CDPs are starting to incorporate these concepts, allowing for more flexible and evolving customer data models. It also requires a shift in how we query our customer data. Instead of simple SQL queries, we often need to use more complex temporal query languages or rely on derived views for simpler querying.

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