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.

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Azure Machine Learning Machine Learning AI 59

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

Smart Data Collective

APRIL 29, 2020

Redshift is the product for data warehousing, and Athena provides SQL data analytics. It has useful features, such as an in-browser SQL editor for queries and data analysis, various data connectors for easy data ingestion, and automated data prepossessing and ingestion. Dataform is a data transformation platform that is based on SQL.

Data Warehouse 97

Data Warehouse SQL Azure ETL 97

Mlearning.ai

FEBRUARY 6, 2023

Let’s build a Power App to use Azure Open AI for various use cases. Submission Suggestions Azure Open AI with Power Apps was originally published in MLearning.ai What’s needed. You can see it in the sky at night.nJupiter is the third brightest thing in the sky, after the Moon and Venus.n", mi) and a mass of about 1.4 solar masses.[3]

Azure 52

Azure AI AI SQL 52

Towards AI

JULY 19, 2023

Cloud Computing, Natural Language Processing Azure Cognitive Services Text Analytics is a great tool you can use to quickly evaluate a text data set for positive or negative sentiment. What is Azure Cognitive Services Text Analytics? Set Azure Cognitive Services API and Key. Post the JSON document to the Sentiment Analysis API.

Azure 40

Azure Natural Language Processing Analytics Analytics 40

phData

JUNE 8, 2023

Can be used to open and edit any file with the.rdl file extension, even if it was authored using another software, like SQL Server Reporting Services (SSRS), for example. See Microsoft’s documentation on the process here. Can be used to migrate reports from SSRS to Power BI. Few native data source connections.

Power BI 90

Power BI SQL Azure Database 90

phData

MAY 25, 2023

In a perfect world, Microsoft would have clients push even more storage and compute to its Azure Synapse platform. Snowflake was originally launched in October 2014, but it wasn’t until 2018 that Snowflake became available on Azure. This ensures the maximum amount of Snowflake consumption possible.

Power BI 84

Power BI Analytics Analytics Azure 84

Data Science 101

OCTOBER 12, 2023

My data sources are usually news, logs and web documents. I mostly use U-SQL, a mix between C# and SQL that can distribute in very large clusters. So you use a lot of the Azure tools in your job? What type of programming do you do on a daily/weekly basis? Most of my work is about disinformation and cybersecurity.

Azure 64

Azure Computer Science Computer Science Clustering 64

Mlearning.ai

AUGUST 21, 2023

This article explains the basics of using LLM on custom document with code. It touches on creating, storing and retrieval of vector embeddings from document to use as custom context on LLM’s Applications of Generative AI are at the forefront post the LLM boom. Hence, documents should be split into chunks of text.

SQL 52

SQL AI AI Azure 52

Smart Data Collective

OCTOBER 19, 2022

MongoDB is deployable anywhere, and the MongoDB Atlas database-as-a-service can be deployed on AWS, Azure, and Google Cloud Platform (GCP). DynamoDB is limited to 400KB for documents and MongoDB can support up to 16MB file sizes. With DynamoDB, you are essentially locked into AWS as your cloud provider.

Big Data 132

Big Data Big Data Database AWS 132

Pickl AI

APRIL 21, 2025

Unstructured Data: Data with no predefined format (like text documents, social media posts, images, audio files, videos). Database Knowledge: Like SQL for retrieving data. This makes up the vast majority of data generated today. Machine Learning: Understanding and applying various algorithms.

Big Data 52

Big Data Big Data Data Science Machine Learning 52

phData

APRIL 29, 2024

SQL Server – The SQL Server connector, another widely-used database-type connector, provides similar functionality but is tailored for Microsoft’s SQL Server. Our team frequently configures Fivetran connectors to cloud object storage platforms such as Amazon S3, Azure Blob Storage, and Google Cloud Storage.

SQL 52

SQL Data Warehouse Azure Cloud Data 52

Cambridge Intelligence

OCTOBER 19, 2023

In this post, we’ll take a look at some of the factors you could investigate, and introduce the six databases our customers work with most often: Amazon Neptune ArangoDB Azure Cosmos DB JanusGraph Neo4j TigerGraph Why these six graph databases? Relational databases (with recursive SQL queries), document stores, key-value stores, etc.,

Database 59

Database Azure Analytics Analytics 59

Pickl AI

OCTOBER 16, 2024

This article explores RDBMS’s features, advantages, applications across industries, the role of SQL, and emerging trends shaping the future of data management. Additionally, we will examine the role of SQL in RDBMS and look ahead at emerging trends shaping the future of structured data management.

Database 52

Database SQL Big Data Big Data 52

Data Science 101

AUGUST 27, 2023

The database is good old SQL Server and we have a pretty robust CI/CD pipeline that takes care of builds and deployments. And I think ultimately MS is ok with this because they still make plenty of money in other ways (Windows, Office and Azure). Use the GitHub documentation to learn how to use Git and GitHub.

Azure 98

Azure SQL Database 98

The MLOps Blog

OCTOBER 20, 2023

References : Links to internal or external documentation with background information or specific information used within the analysis presented in the notebook. You could link this section to any other piece of documentation. documentation. In those cases, most of the data exploration and wrangling will be done through SQL.

SQL 52

SQL Database Data Scientist Python 52

DagsHub

DECEMBER 11, 2023

Dolt Created in 2019, Dolt is an open-source tool for managing SQL databases that uses version control similar to Git. It versions tables instead of files and has a SQL query interface for those tables. DVC lacks crucial relational database features, making it an unsuitable choice for those familiar with relational databases.

Machine Learning 98

Machine Learning Machine Learning Data Lakes Data Science 98

The MLOps Blog

JUNE 27, 2023

User support arrangements Consider the availability and quality of support from the provider or vendor, including documentation, tutorials, forums, customer service, etc. Microsoft Azure ML Platform The Azure Machine Learning platform provides a collaborative workspace that supports various programming languages and frameworks.

Machine Learning 134

Machine Learning Machine Learning ML ML 134

phData

DECEMBER 4, 2023

The software you might use OAuth with includes: Tableau Power BI Sigma Computing If so, you will need an OAuth provider like Okta, Microsoft Azure AD, Ping Identity PingFederate, or a Custom OAuth 2.0 For greater detail, see the Snowflake documentation. And once again, for loading data, do not use SQL Inserts.

Clustering 98

Clustering Database SQL Data Pipeline 98

Pickl AI

JULY 19, 2024

SQL (Structured Query Language) is the standard language for interacting with RDBMS. Examples of RDBMS include MySQL, Oracle Database, PostgreSQL, and Microsoft SQL Server. NoSQL (Not Only SQL) Databases Designed to handle large volumes of unstructured or semi-structured data, NoSQL databases offer flexibility and scalability.

Database 52

Database SQL Database Administration Analytics 52

phData

FEBRUARY 14, 2023

If using a network policy with Snowflake, be sure to add Fivetran’s IP address list , which will ensure Azure Data Factory (ADF) Azure Data Factory is a fully managed, serverless data integration service built by Microsoft. Tips When Considering ADF: ADF will only write to Snowflake accounts that are based in Azure.

Data Warehouse 59

Data Warehouse Azure AWS Database 59

Mlearning.ai

JUNE 16, 2023

Functional and non-functional requirements need to be documented clearly, which architecture design will be based on and support. How to use the Codex models to work with code - Azure OpenAI Service Codex is the model powering Github Copilot. Then software development phases are planned to deliver the software.

AI 52

AI AI Data Analysis Data Analysis 52

DataRobot Blog

MARCH 17, 2022

If your data resides in Azure, we are also introducing connectivity to Azure Synapse Analytics for Library imports and exports. For a complete list of new and enhanced features, please visit the DataRobot Documentation Release Center or join the conversation in the DataRobot Community. DataRobot AI Cloud 8.0 With AI Cloud 8.0,

AI 52

AI AI Machine Learning Machine Learning 52

Pickl AI

JUNE 7, 2024

Open-Source Community: Airflow benefits from an active open-source community and extensive documentation. Microsoft SQL Server Integration Services (SSIS) Microsoft SQL Server Integration Services (SSIS) is an enterprise-level platform for data integration and transformation. How to drop a database in SQL server?

ETL 40

ETL Data Quality Data Pipeline Data Warehouse 40

Pickl AI

OCTOBER 17, 2024

This section outlines key practices focused on automation, monitoring and optimisation, scalability, documentation, and governance. Strategies may involve optimising SQL queries, parallelising tasks, and ensuring data pipelines are designed for efficient processing.

ETL 52

ETL Data Warehouse Data Quality Data Governance 52

Mlearning.ai

FEBRUARY 16, 2023

The solution was built on top of Amazon Web Services and is now available on Google Cloud and Microsoft Azure. Multi-Cloud Options You can host Snowflake on numerous popular cloud platforms, including Microsoft Azure, Google Cloud, and Amazon Web Services. Therefore, the tool is referred to as cloud-agnostic. What does Snowflake do?

Data Warehouse 52

Data Warehouse Business Intelligence Business Intelligence Database 52

phData

MAY 4, 2023

Full SQL Functionalities: Snowflake supports SQL functionalities like no other and even supports the “(+)” operator for doing JOINS using WHERE and AND clauses. You can find more information about the costs here in their documentation section.

SQL 52

SQL Data Warehouse Azure Big Data 52

Pickl AI

APRIL 9, 2025

Integration : Can it connect with existing systems like AWS, Azure, or Google Cloud? Support : Are there resources available for troubleshooting, such as documentation, forums, or customer support? Ease of Use : Does it offer an intuitive interface or require extensive coding knowledge?

ETL 52

ETL Data Warehouse AWS Business Intelligence 52

Towards AI

SEPTEMBER 26, 2023

The AI race is heating up further, and now it looks like the leading cloud providers have lined up their key LLM labs partners with Google Cloud behind Deepmind, Microsoft Azure backing OpenAI, and Amazon AWS backing Anthropic. against Llama 2 in an SQL task and a functional representation task. slightly outperforms Llama 2.

AI 64

AI AI AWS Artificial Intelligence 64

DagsHub

OCTOBER 23, 2024

Here’s the structured equivalent of this same data in tabular form: With structured data, you can use query languages like SQL to extract and interpret information. For instance, if the collected data was a text document in the form of a PDF, the data preprocessing—or preparation stage —can extract tables from this document.

Machine Learning 52

Machine Learning Machine Learning Data Lakes AI 52

DagsHub

APRIL 21, 2024

Microsoft Azure ML Provided by Microsoft , Azure Machine Learning (ML) is a cloud-based machine learning platform that enables data scientists and developers to build, train, and deploy machine learning models at scale. You must evaluate the level of support and documentation provided by the tool vendors or the open-source community.

Machine Learning 59

Machine Learning Machine Learning ML ML 59

ODSC - Open Data Science

OCTOBER 12, 2024

This includes tasks ranging from creating a cleaning pipeline in Jupyter Notebooks, SQL stored procedures, or Python functions. GitHub Copilot can be used in environments like Visual Studio Code, JetBrains IDEs, or Azure Data Studio to significantly reduce coding time. One such AI tool is GitHub Copilot.

AI 52

AI AI Artificial Intelligence Artificial Intelligence 52

phData

FEBRUARY 16, 2023

The benefit of having a smaller number of larger projects is you’ll unlock a complete view of model lineage and have richer documentation across functional areas. ex: OKTA, Azure AD, Google, etc). Project Security The first step to configuring enterprise security in dbt Cloud is to configure SSO using SAML 2.0 (ex:

Database 52

Database Azure Data Classification Data Governance 52

phData

SEPTEMBER 19, 2023

Metadata Management can be performed manually by creating spreadsheets and documents notating information about the various datasets. Thankfully, there are tools available to help with metadata management, such as AWS Glue, Azure Data Catalog, or Alation, that can automate much of the process.

Data Lakes 52

Data Lakes Data Modeling Data Models Data Warehouse 52

phData

AUGUST 6, 2024

While this blog focuses on the data engineering capabilities of Snowpark, check out the following blogs for diving deep into Snowpark ML: How to Do Document Classification on Snowflake and How to Train ML Models Using Snowpark for Python. Please refer to the Snowflake documentation for connecting to Snowflake with Python for more information.

Data Pipeline 52

Data Pipeline Python Data Engineer Data Engineering 52

Alation

APRIL 14, 2022

Cloud providers like Amazon Web Services, Microsoft Azure, Google, and Alibaba not only provide capacity beyond what the data center can provide, their current and emerging capabilities and services drive the execution of AI/ML away from the data center. Support for languages and SQL. The Cloud Data Migration Challenge.

Data Governance 59

Data Governance ML ML Cloud Data 59

Pickl AI

DECEMBER 4, 2024

Grasp the Fundamentals of Data Analysis and Management Build a strong foundation in Data Analysis by learning data manipulation techniques using SQL and Excel. Focus on Python and R for Data Analysis, along with SQL for database management. This foundational knowledge is essential for any Data Science project.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52