Remove 2012 Remove Data Warehouse Remove Database
article thumbnail

CI/CD for Data Pipelines: A Game-Changer with AnalyticsCreator

Data Science Blog

Enter AnalyticsCreator AnalyticsCreator, a powerful tool for data management, brings a new level of efficiency and reliability to the CI/CD process. It offers full BI-Stack Automation, from source to data warehouse through to frontend. It supports a holistic data model, allowing for rapid prototyping of various models.

article thumbnail

Import data from Google Cloud Platform BigQuery for no-code machine learning with Amazon SageMaker Canvas

AWS Machine Learning Blog

The workflow includes the following steps: Within the SageMaker Canvas interface, the user composes a SQL query to run against the GCP BigQuery data warehouse. Athena returns the queried data from BigQuery to SageMaker Canvas, where you can use it for ML model training and development purposes within the no-code interface.

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Explore data with ease: Use SQL and Text-to-SQL in Amazon SageMaker Studio JupyterLab notebooks

AWS Machine Learning Blog

Solution overview With SageMaker Studio JupyterLab notebook’s SQL integration, you can now connect to popular data sources like Snowflake, Athena, Amazon Redshift, and Amazon DataZone. For example, you can visually explore data sources like databases, tables, and schemas directly from your JupyterLab ecosystem.

SQL 130
article thumbnail

Configure cross-account access of Amazon Redshift clusters in Amazon SageMaker Studio using VPC peering

AWS Machine Learning Blog

Amazon Redshift is a fully managed, fast, secure, and scalable cloud data warehouse. Organizations often want to use SageMaker Studio to get predictions from data stored in a data warehouse such as Amazon Redshift. On the Select trusted entity page, select Custom trust policy.

article thumbnail

Build ML features at scale with Amazon SageMaker Feature Store using data from Amazon Redshift

Flipboard

Amazon Redshift is the most popular cloud data warehouse that is used by tens of thousands of customers to analyze exabytes of data every day. Conclusion In this post, we demonstrated an end-to-end data and ML flow from a Redshift data warehouse to SageMaker.

ML 121
article thumbnail

How to use Netezza Performance Server query data in Amazon Simple Storage Service (S3)

IBM Journey to AI blog

Netezza Performance Server (NPS) has recently added the ability to access Parquet files by defining a Parquet file as an external table in the database. This allows data that exists in cloud object storage to be easily combined with existing data warehouse data without data movement. The data definition.

article thumbnail

What is Fivetran LDP?

phData

LDP is a comprehensive tool that can be used to replicate data from a variety of sources, including databases, files, and applications. Windows Server: 2012 R2, 2016, 2019 In this blog, we will do a deep dive into understanding LDP Architecture. Fivetran LDP is compatible with popular operating systems like: AIX_6.1-POWERPC-64BIT