Data Science Dojo

JULY 3, 2024

Machine Learning : Supervised and unsupervised learning algorithms, including regression, classification, clustering, and deep learning. Big Data Technologies : Handling and processing large datasets using tools like Hadoop, Spark, and cloud platforms such as AWS and Google Cloud.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

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.

SQL 52

SQL ML ML Python 52

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.

SQL 52

SQL ML ML Python 52

Smart Data Collective

APRIL 8, 2020

The data collected in the system may in the form of unstructured, semi-structured, or structured data. This data is then processed, transformed, and consumed to make it easier for users to access it through SQL clients, spreadsheets and Business Intelligence tools.

Data Warehouse 144

Data Warehouse Big Data Big Data Big Data Analytics 144

phData

OCTOBER 9, 2023

As organizations embrace the benefits of data vault, it becomes crucial to ensure optimal performance in the underlying data platform. One such platform that has revolutionized cloud data warehousing is the Snowflake Data Cloud. This can make it nearly impossible to “handwrite” these SQL queries.

ETL 69

ETL Clustering Data Warehouse SQL 69

phData

DECEMBER 4, 2023

However, if there’s one thing we’ve learned from years of successful cloud data implementations here at phData, it’s the importance of: Defining and implementing processes Building automation, and Performing configuration …even before you create the first user account. In this case, the max cluster count should also be two.

Clustering 98

Clustering Database SQL Data Pipeline 98

IBM Journey to AI blog

MAY 12, 2023

Organizations that move forward with implementing strategies for sustainability capitalize on the operational, cost, resource utilization and competitive benefits of solution features like load-based “just in time” scaling, offerings of managed services like Azure, cloud data center proximity and database right-sizing through caching.

Azure 93

Azure Database Data Visualization Cloud Data 93

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. This process is repeated until the entire text is divided into coherent segments.

Python 52

Python Database SQL Machine Learning 52

Tableau

JUNE 8, 2021

The division between data lakes and data warehouses is stifling innovation. Nearly three-quarters of the organizations surveyed in the previously mentioned Databricks study split their cloud data landscape into two layers: a data lake and a data warehouse. .

Tableau 52

Tableau Data Lakes Data Warehouse SQL 52

phData

NOVEMBER 8, 2024

Versioning also ensures a safer experimentation environment, where data scientists can test new models or hypotheses on historical data snapshots without impacting live data. Note : Cloud Data warehouses like Snowflake and Big Query already have a default time travel feature.

Data Lakes 52

Data Lakes Data Warehouse Database Azure 52

IBM Journey to AI blog

JULY 11, 2023

Cloud object storage support The next generation of Db2 Warehouse introduces support for cloud object storage as a new storage medium within its storage hierarchy. Summary Db2 Warehouse Gen3 delivers an enhanced approach to cloud data warehousing, especially for always-on, mission-critical analytics workloads.

Data Warehouse 60

Data Warehouse Database Cloud Data Big Data 60

Alation

JULY 18, 2022

And the highlight, for us data intelligence folks, was the Databricks’ announcement that Unity Catalog , its unified governance solution for all data assets on its Lakehouse platform, will soon be available on AWS and Azure in the upcoming weeks. A simple model to control access to data via a UI or SQL. and much more!

AI 52

AI AI Data Lakes Azure 52

Mlearning.ai

FEBRUARY 16, 2023

With the help of Snowflake clusters, organizations can effectively deal with both rush times and slowdowns since they ensure scalability upon demand. Data warehousing is a vital constituent of any business intelligence operation. Furthermore, a shared-data approach stems from this efficient combination.

Data Warehouse 52

Data Warehouse Business Intelligence Business Intelligence Database 52

phData

APRIL 20, 2023

To set up this approach, a multi-cluster warehouse is recommended for stage loads, and separate multi-cluster warehouses can be used to run all loads in parallel. Views are the best way to optimize query performance, within Information marts in the data vault. The stream shows the ‘delta’ that needs processing.

Data Warehouse 72

Data Warehouse Data Governance Clustering Database 72

phData

FEBRUARY 5, 2024

Setting up the Information Architecture Setting up an information architecture during migration to Snowflake poses challenges due to the need to align existing data structures, types, and sources with Snowflake’s multi-cluster, multi-tier architecture. Essentially, it functions like Google Translate — but for SQL dialects.

SQL 52

SQL Database Data Quality Data Warehouse 52

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.

Python 52

Python ML ML SQL 52

phData

MARCH 29, 2024

Founded in 2014 by three leading cloud engineers, phData focuses on solving real-world data engineering, operations, and advanced analytics problems with the best cloud platforms and products. Over the years, one of our primary focuses became Snowflake and migrating customers to this leading cloud data platform.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

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.

Python 52

Python ETL AWS Database 52