Analytics Vidhya

JULY 29, 2022

Introduction We are all pretty much familiar with the common modern cloud data warehouse model, which essentially provides a platform comprising a data lake (based on a cloud storage account such as Azure Data Lake Storage Gen2) AND a data warehouse compute engine […].

Azure 354

Azure Data Warehouse Data Lakes Analytics 354

Analytics Vidhya

FEBRUARY 20, 2023

Introduction Azure data factory (ADF) is a cloud-based data ingestion and ETL (Extract, Transform, Load) tool. The data-driven workflow in ADF orchestrates and automates data movement and data transformation.

Azure 205

Azure ETL Analytics Analytics 205

Analytics Vidhya

JULY 3, 2022

What is Azure? […]. The post 15 Azure Interview Questions for Beginners appeared first on Analytics Vidhya. Whether you are a beginner or an experienced professional, you can glance through these just before your interview to enhance and refresh your learning on the go!

Azure 224

Azure Data Science Analytics Analytics 224

Data Science Blog

MAY 20, 2024

It also supports a wide range of data warehouses, analytical databases, data lakes, frontends, and pipelines/ETL. Support for Various Data Warehouses and Databases : AnalyticsCreator supports MS SQL Server 2012-2022, Azure SQL Database, Azure Synapse Analytics dedicated, and more. pipelines, Azure Data Bricks.

Data Pipeline 262

Data Pipeline Data Warehouse Azure Data Lakes 262

Towards AI

AUGUST 30, 2023

It works by storing text-based documents (that the LLM has no knowledge of) on an external database. When a user asks the LLM a question, the system retrieves relevant documents from this database and provides them to the LLM to use as a reference to answer the user's question. Pricing is based on per-token usage. Click to zoom.

Azure 111

Azure Database Algorithm AI 111

Data Science Dojo

FEBRUARY 1, 2023

Azure Synapse provides a unified platform to ingest, explore, prepare, transform, manage, and serve data for BI (Business Intelligence) and machine learning needs. In this blog, we will explore how to optimize performance and reduce costs when using dedicated SQL pools in Azure Synapse Analytics.

Azure 195

Azure SQL Analytics Analytics 195

Analytics Vidhya

JUNE 27, 2022

Introduction Recently I was doing an analysis, and in this analysis, I wanted to take the data from a remote database. I previously used Azure, but I had to delete the database after learning. Otherwise, they will deduct money from your Azure balance. […].

Azure 200

Azure Database Data Science Analytics 200

Cambridge Intelligence

NOVEMBER 20, 2023

This Azure Cosmos DB tutorial shows you how to integrate Microsoft’s multi-model database service with our graph and timeline visualization SDKs to build an interactive graph application. New to Azure Cosmos DB? Create a new Azure Cosmos DB database We’ll use the Azure Cosmos DB for Apache Gremlin service to load the chess data.

Azure 64

Azure Database Data Modeling Data Models 64

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

Hacker News

DECEMBER 21, 2023

⚡️Open-source LangChain-like AI knowledge database with web UI and Enterprise SSO⚡️, supports OpenAI, Azure, HuggingFace, OpenRouter, ChatGLM and local models, chat demo: [link] admin portal demo: [link] - GitHub - casibase/casibase: ⚡️Open-source LangChain-like AI knowledge database with web UI and Enterprise SSO⚡️, supports OpenAI, Azure, HuggingFace, (..)

Database 63

Database Azure AI AI 63

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

SAS Software

NOVEMBER 29, 2023

BULKLOAD機能を利用するためのAzure側で必要なサービスの作成 3-1.Azure Azure Data Lake Storage (ADLS) Gen2のストレージアカウントの作成 3-2.ストレージアカウントのデータストレージコンテナの作成 Azureアプリの設定 4.SAS SAS Viya側の設定とAzure Synapseへの接続 4-1.SAS Azure SynapseのSQLデータベースをSASライブラリとして定義 4-3.Azure Azure Synapseへデータの書き込み 2.Bulkload機能について Azureアプリの設定 4.SAS

Azure 59

Azure Data Lakes SQL Analytics 59

Mlearning.ai

APRIL 24, 2023

Learning about the framework of a service cloud platform is time consuming and frustrating because there is a lot of new information from many different computing fields (computer science/database, software engineering/developers, data science/scientific engineering & computing/research).

Azure 52

Azure SQL Database Python 52

Tableau

MARCH 30, 2021

we’ve added new connectors to help our customers access more data in Azure than ever before: an Azure SQL Database connector and an Azure Data Lake Storage Gen2 connector. Our customers leverage various different services in Azure to store and manage their data. Azure Data Lake Storage Gen2. March 30, 2021.

Azure 99

Azure Tableau Data Lakes SQL 99

Towards AI

NOVEMBER 9, 2023

Now, we will see how to use Azure OpenAI Studio to create an inference endpoint that we can call to generate SQL commands. Create an Azure subscription. Request access to Azure OpenAI Studio. Setting up Azure OpenAI Studio. We click on Azure OpenAI Account. You will also need to get access to OpenAI resources.

Azure 107

Azure SQL Data Science Database 107

Mlearning.ai

JULY 8, 2023

One of them is Azure functions. In this article we’re going to check what is an Azure function and how we can employ it to create a basic extract, transform and load (ETL) pipeline with minimal code. An Azure function contains code written in a programming language, for instance Python, which is triggered on demand.

ETL 52

ETL Azure Python Internet of Things 52

Cambridge Intelligence

OCTOBER 19, 2023

That’s why our data visualization SDKs are database agnostic: so you’re free to choose the right stack for your application. There have been a lot of new entrants and innovations in the graph database category, with some vendors slowly dipping below the radar, or always staying on the periphery. can handle many graph-type problems.

Database 59

Database Azure SQL AWS 59

Mlearning.ai

JULY 22, 2023

Submission Suggestions Using Langchain vector store using Azure Cognitive Search was originally published in MLearning.ai ", k=3 ) print(docs[0].page_content) page_content) original article —  Samples2023/AzureML/cogvectorlangchain.md on Medium, where people are continuing the conversation by highlighting and responding to this story.

Azure 52

Azure AI AI Database 52

IBM Journey to AI blog

NOVEMBER 21, 2023

Azure is Microsoft’s public cloud platform. Azure offers a large collection of services, which includes platform as a service (PaaS), infrastructure as a service (IaaS) and managed database service capabilities. Azure Marketplace serves as the conduit through which this deployment is made possible.

Azure 49

Azure Clustering Database Analytics 49

Tableau

MARCH 29, 2021

we’ve added new connectors to help our customers access more data in Azure than ever before: an Azure SQL Database connector and an Azure Data Lake Storage Gen2 connector. Our customers leverage various different services in Azure to store and manage their data. Azure Data Lake Storage Gen2. March 30, 2021.

Azure 52

Azure Tableau Data Lakes SQL 52

Mlearning.ai

MAY 13, 2023

Submission Suggestions Using custom document with LLM (Azure Open AI/Open AI) was originally published in MLearning.ai In most cases answer is no Large Language models can be used as is How to consume my companies document and use it for LLM? at main · balakreshnan/Samples2023 · GitHub BECOME a WRITER at MLearning.ai .

Azure 52

Azure AI AI Database 52

DataRobot Blog

MARCH 7, 2023

Organizations that want to prove the value of AI by developing, deploying, and managing machine learning models at scale can now do so quickly using the DataRobot AI Platform on Microsoft Azure. DataRobot is available on Azure as an AI Platform Single-Tenant SaaS, eliminating the time and cost of an on-premises implementation.

Azure 59

Azure Machine Learning Machine Learning AI 59

Dataversity

APRIL 25, 2022

Microsoft Azure Storage is a cloud-based storage service that provides organizations with a variety of storage solutions. The underlying hardware that supports Azure Storage provides redundancy in […]. The post Optimizing the Cost of Azure Storage appeared first on DATAVERSITY.

Azure 52

Azure Database 52

Analytics Vidhya

JANUARY 19, 2024

Introduction In the cloud industry, various providers like AWS, GCP, and Azure offer a range of services. Currently, AWS stands out as the most popular, with one of its key services being the AWS Load Balancer. This service efficiently manages traffic across different regions.

AWS 237

AWS Azure Analytics Analytics 237

Mlearning.ai

JULY 29, 2023

Schedule Batch Inference of Machine Learning Model on Azure Cloud with Container Services and Logic App Photo by Victoire Joncheray on Unsplash I. I used Azure DevOps for this case but Github is perfectly fine. This can be done on an Azure Machine Learning compute, which comes with Docker and git installed.

Azure 52

Azure Machine Learning Machine Learning ML 52

Mlearning.ai

JANUARY 28, 2023

Submission Suggestions Move Microsoft Graph metadata to Azure Data Explorer using pandas dataframe was originally published in MLearning.ai on Medium, where people are continuing the conversation by highlighting and responding to this story.

Azure 52

Azure Clustering Machine Learning Machine Learning 52

Dataversity

DECEMBER 13, 2021

Azure Spot Virtual Machines (VMs) enable you to leverage unused Azure cloud capacity, offered at significantly low rates. Spot VMs create a win-win situation – Azure gains customers for underutilized capacity, and customers get discounts that lower their cloud costs. Azure Spot Instances: Pros and […].

Azure 52

Azure Database 52

Revolutions

JANUARY 21, 2021

by Hong Ooi Last week , I announced AzureCosmosR, an R interface to Azure Cosmos DB , a fully-managed NoSQL database service in Azure. Explaining what Azure Cosmos DB is can be tricky, so here’s an excerpt from the official description : Azure Cosmos DB is a fully managed NoSQL database for modern app development.

Azure 40

Azure SQL Database Administration Database 40

Analytics Vidhya

AUGUST 18, 2023

Introduction In the era of Data storehouse, the need for assimilating the data from contrasting sources into a single consolidated database requires you to Extract the data from its parent source, Transform and amalgamate it, and thus, Load it into the consolidated database (ETL).

ETL 216

ETL Database Analytics Analytics 216

Mlearning.ai

JUNE 17, 2023

Let’s build a Power App to use Azure Open AI ChatGPT to summarize the results from Pine Cone index What’s needed. Register for Azure Open AI —  [link] Once got approved create a azure open ai resource in Azure portal Select region as East US At the time of writing this article gpt4, gpt3.5-turbo

Azure 52

Azure AI AI ML 52

Dataconomy

SEPTEMBER 27, 2023

The Microsoft Certified Solutions Associate and Microsoft Certified Solutions Expert certifications cover a wide range of topics related to Microsoft’s technology suite, including Windows operating systems, Azure cloud computing, Office productivity software, Visual Studio programming tools, and SQL Server databases.

Database Administration 113

Database Administration Database Azure Cloud Computing 113

Mlearning.ai

SEPTEMBER 30, 2023

Submission Suggestions Process pandas dataframe and create Azure Cognitive Search Vector Index and Search was originally published in MLearning.ai iloc[i:chunksize]) df5 = pd.DataFrame() df4 = df3.iloc[int(i):int(chunksize iloc[int(i):int(chunksize + i)].copy() apply(lambda x: get_embedding(x, model='text-embedding-ada-002')) #df5.concat(df4)

Azure 52

Azure AI AI Database 52

IBM Journey to AI blog

MAY 12, 2023

IBM’s recommendations included API-specific improvements, bot UX optimization, workflow optimization, DevOps microservices and design consideration, and best practices for Azure manage services.

Azure 75

Azure Database Clustering SQL 75

Analytics Vidhya

OCTOBER 25, 2023

Introduction Struggling with expanding a business database due to storage, management, and data accessibility issues? To steer growth, employ effective data management strategies and tools. This article explores data management’s key tool features and lists the top tools for 2023.

Database 208

Database Analytics Analytics Data Warehouse 208

Data Science Dojo

FEBRUARY 9, 2023

They may also work with databases and programming languages such as SQL and Python to manipulate and extract data. Key capabilities of Power BI Data Connectivity :It allows users to connect to various data sources including Excel, SQL Server, Azure SQL, and other cloud-based data sources.

Power BI 221

Power BI Data Analyst Data Visualization Data Analysis 221

The Data Administration Newsletter

JANUARY 20, 2021

In the cloud-era, should you store your corporate data in Cosmos DB on Azure, Cloud Spanner on the Google Cloud Platform, or in the Amazon Quantum Ledger? The overwhelming number of options today for storing and managing data in the cloud makes it tough for database experts and architects to design adequate solutions.

Azure 98

Azure Database Big Data Big Data 98

Flipboard

NOVEMBER 27, 2023

Amazon AWS, the cloud computing giant, has been perceived as playing catch-up with its rivals Microsoft Azure and Google Cloud in the emerging and exciting field of generative AI. But this week, at its annual AWS Re:Invent conference, Amazon plans to showcase its ambitious vision for generative AI, …

AWS 131

AWS Cloud Computing Azure AI 131