databricks

MARCH 6, 2023

Today, we are excited to announce the public preview of the Databricks SQL Statement Execution API, available on AWS and Azure. You can.

SQL 279

SQL Azure AWS 279

AWS Machine Learning Blog

MARCH 10, 2025

We walk through the journey Octus took from managing multiple cloud providers and costly GPU instances to implementing a streamlined, cost-effective solution using AWS services including Amazon Bedrock, AWS Fargate , and Amazon OpenSearch Service. Along the way, it also simplified operations as Octus is an AWS shop more generally.

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databricks

MAY 9, 2023

We are excited to announce that support for using Structured Streaming with Delta Sharing is now generally available (GA) in Azure, AWS, and.

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Azure AWS 264

databricks

JUNE 27, 2023

We are thrilled to announce that materialized views and streaming tables are now publicly available in Databricks SQL on AWS and Azure. Streaming.

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SQL Azure AWS 263

databricks

OCTOBER 13, 2023

Today, we are excited to announce the general availability of the Databricks SQL Statement Execution API on AWS and Azure, with support for.

SQL 263

SQL Azure AWS 263

databricks

APRIL 17, 2024

The next generation of Databricks SQL dashboards, also known as Lakeview Dashboards, is now generally available on AWS and Azure. This new dashboarding experience is optimized for ease of use, scalable and secure distribution, governance, and performance.

Azure 264

Azure SQL AWS 264

Data Science Blog

SEPTEMBER 19, 2023

The following Terraform script will create an Azure Resource Group, a SQL Server, and a SQL Database. Of course, Terraform and the Azure CLI needs to be installed before. Min Pool Size=0;Max Pool Size=30;Persist Security Info=true;`; }); Running the script will need the installation of Python, Pulumi and the Azure CLI.

Data Warehouse 259

Data Warehouse Azure SQL Database 259

How to Learn Machine Learning

DECEMBER 24, 2024

If you’re diving into the world of machine learning, AWS Machine Learning provides a robust and accessible platform to turn your data science dreams into reality. Whether you’re a solo developer or part of a large enterprise, AWS provides scalable solutions that grow with your needs. Hey dear reader!

Machine Learning 52

Machine Learning Machine Learning AWS ML 52

Data Science Blog

JULY 23, 2023

Data Mesh on Azure Cloud with Databricks and Delta Lake for Applications of Business Intelligence, Data Science and Process Mining. Microsoft Azure Cloud is favored by many companies, especially for European industrial companies, due to its scalability, flexibility, and industry-specific solutions.

Data Science 246

Data Science Azure Power BI Business Intelligence 246

Data Science Dojo

NOVEMBER 5, 2024

Dive into this blog as we uncover what is an LLM Bootcamp and how it can benefit your career. By working on real datasets and deploying applications on platforms like Azure and Hugging Face, you will gain valuable practical experience that reinforces your learning. The answer is simple: LLM Bootcamps.

Data Science 195

Data Science Azure Natural Language Processing Database 195

AWS Machine Learning Blog

NOVEMBER 25, 2024

We provide a step-by-step guide for the Azure AD configuration and demonstrate how to set up the Amazon Q connector to establish this secure integration. Prerequisites To follow along, you need the following prerequisites: The user performing these steps should be a global administrator on Azure AD/Entra ID. Choose New registration.

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Azure AWS Natural Language Processing AI 99

Data Science Dojo

JULY 24, 2024

In this blog, we will explore all the information you need to know about Llama 3.1 Despite its large size, Meta has made this model open-source and accessible through various platforms, including Hugging Face, GitHub, and several cloud providers like AWS, Nvidia, Microsoft Azure, and Google Cloud. Llama 3.1, What is Llama 3.1?

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Azure AWS AI AI 396

Data Science Dojo

FEBRUARY 20, 2023

In this blog, we’ll show you how to boost your MLOps efficiency with 6 essential tools and platforms. SageMaker boosts machine learning model development with the power of AWS, including scalable computing, storage, networking, and pricing. AWS SageMaker also has a CLI for model creation and management.

Machine Learning 195

Machine Learning Machine Learning AWS Azure 195

Data Science 101

SEPTEMBER 20, 2023

Quantum Computing Startups Quantum Brilliance QuEra Rigetti IonQ Qbraid Q-CTRL What resources are missing from the list?

Azure 111

Azure AWS AI AI 111

databricks

DECEMBER 11, 2022

Today, we are excited to announce the general availability of data lineage in Unity Catalog, available on AWS and Azure. With data lineage.

Azure 130

Azure AWS 130

databricks

DECEMBER 14, 2022

At Databricks, we run our compute infrastructure on AWS, Azure, and GCP. We orchestrate containerized services using Kubernetes clusters. We develop and manage.

Azure 130

Azure Clustering AWS 130

Analytics Vidhya

FEBRUARY 7, 2023

This blog post will overview the different cloud platform types, their benefits, and their uses. Introduction Explore the exciting world of cloud computing! Everyone, from beginners to experts, will be able to gain insight into the types of cloud computing platforms that best fits their needs.

Cloud Computing 328

Cloud Computing Analytics Analytics Azure 328

IBM Journey to AI blog

SEPTEMBER 5, 2023

AWS, for example, provides a managed runtime environment for modernizing mainframe workloads following several hybrid strategies. The IBM Z and Cloud Modernization Stack runs on Red Hat OpenShift on AWS. Microsoft Azure also connects its DevOps efforts to the mainframe. It’s easy with open source appeared first on IBM Blog.

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AWS Machine Learning Blog

SEPTEMBER 20, 2023

For example, you might have acquired a company that was already running on a different cloud provider, or you may have a workload that generates value from unique capabilities provided by AWS. We show how you can build and train an ML model in AWS and deploy the model in another platform.

ML 133

ML ML Azure AWS 133

AWS Machine Learning Blog

JANUARY 22, 2025

With the Amazon Bedrock serverless experience, you can get started quickly, privately customize FMs with your own data, and integrate and deploy them into your applications using the AWS tools without having to manage any infrastructure. He has helped multiple enterprises harness the power of AI and machine learning on AWS.

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AWS AI AI Machine Learning 114

Pickl AI

DECEMBER 26, 2024

This blog aims to highlight the synergy between Data Science and the cloud, showcase its indispensable role in modern analytics, and outline strategies for leveraging this powerful combination effectively. Use tools like AWS Cost Explorer or Azure Cost Management to track expenses and identify anomalies.

Data Science 52

Data Science Cloud Computing Machine Learning Machine Learning 52

Data Science 101

DECEMBER 27, 2019

AWS Deep Learning Containers now support Tensorflow 2.0 AWS Deep Learning Containers are docker images which are preconfigured for deep learning tasks. An intro to Azure FarmBeats An innovative idea to bring data science to farmers. This blog post acts more like a step-by-step tutorial. Now they support Tensorflow 2.0.

Cloud Data 86

Cloud Data Data Science Deep Learning Deep Learning 86

AWS Machine Learning Blog

JANUARY 25, 2024

In this post, we walk you through the process to deploy Amazon Q business expert in your AWS account and add it to Microsoft Teams. In the following sections, we show how to deploy the project to your own AWS account and Teams account, and start experimenting! Everything you need is provided as open source in our GitHub repo.

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AWS Azure AI AI 140

AWS Machine Learning Blog

JULY 25, 2024

with Resource Owner Password Credentials Flow Azure AD App-Only (OAuth 2.0 A document’s ACL contains information such as the user’s email address and the local groups or federated groups (if Microsoft SharePoint is integrated with an identity provider (IdP) such as Azure Active Directory/Entra ID) that have access to the document.

Azure 125

Azure AWS AI AI 125

Pickl AI

APRIL 6, 2023

Accordingly, one of the most demanding roles is that of Azure Data Engineer Jobs that you might be interested in. The following blog will help you know about the Azure Data Engineering Job Description, salary, and certification course. How to Become an Azure Data Engineer?

Azure 52

Azure Data Engineering Data Engineer Data Engineering 52

Dataversity

JULY 16, 2021

Google Cloud Platform vs. AWS: What’s the deal? A while back, we also asked the same question about Azure vs. AWS. After the release of the latest earnings reports a few weeks ago from AWS, Azure, and GCP, it’s clear that Microsoft is continuing to see growth, Amazon is […].

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AWS Azure Database Machine Learning 52

AWS Machine Learning Blog

JULY 29, 2024

The solution approach respects users’ existing identities, roles, and permissions by enabling identity crawling and access control lists (ACLs) on the Amazon Q Business connector for SharePoint Online using secure credentials facilitated through AWS Secrets Manager. Only the data the user has access to is used to support the user query.

Azure 118

Azure AWS Artificial Intelligence Artificial Intelligence 118

Data Science 101

FEBRUARY 29, 2020

The livestream is free and available on the Data Science 101 blog. Azure Sphere for IoT security goes GA This is a comprehensive security solution for IoT. AWS Deep Learning Containers Updated They now have the latest versions of Tensorflow (1.15.2, The event is Monday, March 2, 2020 at 9am PST. This is cool and helpful.

Cloud Data 106

Cloud Data Data Science SQL Deep Learning 106

phData

MAY 16, 2023

Azure Active Directory (AD) is a popular identity and access management service provided by Microsoft which works well as a Single Sign On (SSO) for the Snowflake Data Cloud. In this blog post, we will guide you through the steps of connecting Azure AD SCIM to Snowflake and provide some tips and tricks for ease of implementation.

Azure 52

Azure Data Engineer Data Engineering Data Engineering 52

AWS Machine Learning Blog

DECEMBER 20, 2023

Whether logs are coming from Amazon Web Services (AWS), other cloud providers, on-premises, or edge devices, customers need to centralize and standardize security data. Solution overview Figure 1 – Solution Architecture Enable Amazon Security Lake with AWS Organizations for AWS accounts, AWS Regions, and external IT environments.

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AWS ML ML Algorithm 135

Data Science Blog

NOVEMBER 15, 2023

on Microsoft Azure, AWS, Google Cloud Platform or SAP Dataverse) significantly improve data utilization and drive effective business outcomes. The post Object-centric Process Mining on Data Mesh Architectures appeared first on Data Science Blog. DATANOMIQ Data Mesh Cloud Architecture – This image is animated!

Data Modeling 245

Data Modeling Data Models Business Intelligence Business Intelligence 245

AWS Machine Learning Blog

SEPTEMBER 19, 2024

Prerequisites The following are the prerequisites necessary to implement Amazon Bedrock Knowledge Bases with SharePoint as a connector: An AWS account with an AWS Identity and Access Management (IAM) role and user with least privilege permissions to create and manage the necessary resources and components for the application.

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AWS Azure Database ML 100

Data Science Connect

JANUARY 27, 2023

In this blog post, we will be discussing 7 tips that will help you become a successful data engineer and take your career to the next level. Reading industry blogs, participating in online forums, and attending conferences and meetups are all great ways to stay informed.

Data Engineering 130

Data Engineering Data Engineer Data Engineering Data Engineering 130

IBM Journey to AI blog

DECEMBER 12, 2023

So, if storage is replicated on AWS, an instance of IBM Storage Virtualize created on AWS as a Virtual Machine creates an instance of visualization into the storage with all the management of that data becoming consistent across the board. Deployments can use replication for native IP into Azure, AWS and IBM Cloud.

Azure 90

Azure AWS AI AI 90

Data Science 101

NOVEMBER 29, 2019

Use Amazon Sagemaker to add ML predictions in Amazon QuickSight Amazon QuickSight, the AWS BI tool, now has the capability to call Machine Learning models. It has a companion blog post: Deep Learning vs Machine Learning. Azure Machine Learning Compute Instance What used to be called Notebook VMs, are now Compute Instances.

Cloud Data 115

Cloud Data Data Science Machine Learning Machine Learning 115

AWS Machine Learning Blog

FEBRUARY 29, 2024

The SageMaker Studio domains are deployed in VPC only mode, which creates an elastic network interface for communication between the SageMaker service account (AWS service account) and the platform account’s VPC. This process of ordering a SageMaker domain is orchestrated through a separate workflow process (via AWS Step Functions ).

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AWS AI AI Data Scientist 133

Smart Data Collective

SEPTEMBER 8, 2021

Azure Data Factory : This is a fully managed service that connects to a wide range of On-Premise and Cloud sources. It can easily transform, copy, and enrich the data, finally writing it to Azure data services as a destination. Azure Data Factory also supports Spark, Hadoop, and Machine Learning as transformation steps.

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ETL Hadoop Data Warehouse Data Pipeline 126