ODSC - Open Data Science

MAY 8, 2023

Article on Azure ML by Bethany Jepchumba and Josh Ndemenge of Microsoft In this article, I will cover how you can train a model using Notebooks in Azure Machine Learning Studio. At the end of this article, you will learn how to use Pytorch pretrained DenseNet 201 model to classify different animals into 48 distinct categories.

Azure 52

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ODSC - Open Data Science

MARCH 30, 2023

Using Azure ML to Train a Serengeti Data Model, Fast Option Pricing with DL, and How To Connect a GPU to a Container Using Azure ML to Train a Serengeti Data Model for Animal Identification In this article, we will cover how you can train a model using Notebooks in Azure Machine Learning Studio.

Azure 52

Azure ML ML Data Models 52

phData

SEPTEMBER 19, 2023

However, to fully harness the potential of a data lake, effective data modeling methodologies and processes are crucial. Data modeling plays a pivotal role in defining the structure, relationships, and semantics of data within a data lake. Consistency of data throughout the data lake.

Data Lakes 52

Data Lakes Data Models Data Modeling Data Warehouse 52

Mlearning.ai

DECEMBER 21, 2023

Explore ML architectural patterns in Azure for classic and evolving needs – streaming data, model monitoring, and multiple models pipeline Continue reading on MLearning.ai »

Azure 52

Azure ML ML Data Modeling 52

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 Engineering Data Engineering 52

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. There’s support for MongoDB, PostgreSQL, Apache Cassandra, Apache Gremlin, and Tables, and our data visualization toolkits work with all of them.

Azure 64

Azure Database Data Modeling Data Models 64

Data Science Dojo

FEBRUARY 9, 2023

It allows users to connect to a variety of data sources, perform data preparation and transformations, create interactive visualizations, and share insights with others. The platform includes features such as data modeling, data discovery, data analysis, and interactive dashboards.

Power BI 221

Power BI Data Analyst Data Visualization Data Analysis 221

phData

MAY 25, 2023

One big issue that contributes to this resistance is that although Snowflake is a great cloud data warehousing platform, Microsoft has a data warehousing tool of its own called Synapse. In a perfect world, Microsoft would have clients push even more storage and compute to its Azure Synapse platform.

Power BI 84

Power BI Analytics Analytics Azure 84

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

ODSC - Open Data Science

JANUARY 25, 2023

The Azure ML team has long focused on bringing you a resilient product, and its latest features take one giant leap in that direction, as illustrated in the graph below (Figure 1). Continue reading to learn more about Azure ML’s latest announcements. This is the motivation behind several of Azure ML’s latest features.

Machine Learning 59

Machine Learning Machine Learning Azure ML 59

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). What Are Their Ranges of Data Models? MongoDB has a wider range of datatypes than DynamoDB, even though both databases can store binary data.

Big Data 132

Big Data Big Data Database AWS 132

Hacker News

JULY 18, 2023

What if you could automatically shard your PostgreSQL database across any number of servers and get industry-leading performance at scale without any special data modelling steps? Schema-based sharding has almost no data modelling restrictions or special steps compared to unsharded PostgreSQL.

Database 123

Database SQL Data Modeling Data Models 123

Dataconomy

SEPTEMBER 4, 2023

Key features of cloud analytics solutions include: Data models , Processing applications, and Analytics models. Data models help visualize and organize data, processing applications handle large datasets efficiently, and analytics models aid in understanding complex data sets, laying the foundation for business intelligence.

Analytics 203

Analytics Analytics Big Data Analytics Big Data Analytics 203

phData

OCTOBER 29, 2024

You should have at least Contributor access to the workspace Download SQL Server Management Studio Step-by-Step Guide for Refreshing a Single Table in Power BI Semantic Model Using a demo data model, let’s walk through how to refresh a single table in a Power BI semantic model.

Power BI 52

Power BI SQL Database Azure 52

ODSC - Open Data Science

JUNE 12, 2023

This article is an excerpt from the book Expert Data Modeling with Power BI, Third Edition by Soheil Bakhshi, a completely updated and revised edition of the bestselling guide to Power BI and data modeling. No-code/low-code experience using a diagram view in the data preparation layer similar to Dataflows.

Power BI 52

Power BI Data Warehouse ETL Data Preparation 52

Smart Data Collective

JUNE 4, 2021

Since the field covers such a vast array of services, data scientists can find a ton of great opportunities in their field. Data scientists use algorithms for creating data models. These data models predict outcomes of new data. Data science is one of the highest-paid jobs of the 21st century.

Data Science 133

Data Science Exploratory Data Analysis Machine Learning Machine Learning 133

Women in Big Data

DECEMBER 9, 2024

Microsoft Power BI – Power BI is a comprehensive suite of tools which allows you to visualize data and create interactive reports and dashboards. Tableau – Tableau is celebrated for its advanced data visualization and interactive dashboard features. You can also share insights across organizations.

Big Data 52

Big Data Big Data Power BI Tableau 52

Pickl AI

FEBRUARY 18, 2025

Summary: Power BI is a business analytics tool transforming data into actionable insights. Key features include AI-powered analytics, extensive data connectivity, customisation options, and robust data modelling. Key Takeaways It transforms raw data into actionable, interactive visualisations. Why Power BI?

Power BI 52

Power BI Azure Business Intelligence Business Intelligence 52

Women in Big Data

NOVEMBER 27, 2024

By maintaining historical data from disparate locations, a data warehouse creates a foundation for trend analysis and strategic decision-making. Snowflake Snowflake is a cloud-based data warehousing platform that offers a highly scalable and efficient architecture designed for performance and ease of use.

Data Warehouse 59

Data Warehouse Big Data Big Data Azure 59

Pickl AI

MARCH 4, 2024

Loading data into Power BI is a straightforward process. Using Power Query, users can connect to various data sources such as Excel files, SQL databases, or cloud services like Azure. Once connected, data can be transformed and loaded into Power BI for analysis. How do you handle real-time data streaming in Power BI?

Power BI 52

Power BI Data Analysis Data Analysis Data Models 52

Pickl AI

NOVEMBER 22, 2024

Key Features Integration with Microsoft Products : Seamlessly connects with Excel, Azure, and other Microsoft services. Real-Time Data Monitoring : Allows users to track metrics in real-time. Key Features Associative Data Model : Users can explore data freely without being confined to predefined queries.

Data Visualization 52

Data Visualization Big Data Big Data Power BI 52

Pickl AI

NOVEMBER 4, 2024

Summary: The fundamentals of Data Engineering encompass essential practices like data modelling, warehousing, pipelines, and integration. Understanding these concepts enables professionals to build robust systems that facilitate effective data management and insightful analysis. What is Data Engineering?

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

Smart Data Collective

NOVEMBER 24, 2020

Features: intuitive visualizations on-premise and cloud report sharing dashboard and report publishing to the web indicators of data patterns integration with third-party services (Salesforce, Google Analytics, Zendesk, Azure, Mailchimp, etc.). Unique feature: custom visualizations to fit your business needs better. SAP Lumira.

Business Intelligence 134

Business Intelligence Business Intelligence Power BI Augmented Analytics 134

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. Multi-model databases combine graphs with two other NoSQL data models – document and key-value stores. Transactional, analytical, or both…?

Database 59

Database Azure Analytics Analytics 59

phData

FEBRUARY 13, 2024

By centralizing SAP ERP data in Snowflake, organizations can gain deeper insights into key business metrics, trends, and performance indicators, enabling more informed decision-making, strategic planning, and operational optimization. SAP is relatively easy to work with. What is SNP Glue?

Analytics 59

Analytics Analytics Data Scientist Data Modeling 59

Mlearning.ai

JUNE 16, 2023

Generative AI can be used to automate the data modeling process by generating entity-relationship diagrams or other types of data models and assist in UI design process by generating wireframes or high-fidelity mockups. diagram Using ChatGPT to build system diagrams — Part II Generate C4 diagrams using mermaid.js

AI 52

AI AI Data Analysis Data Analysis 52

Snorkel AI

OCTOBER 18, 2023

Claims data is often noisy, unstructured, and multi-modal. Manually aligning and labeling this data is laborious and expensive, but—without high-quality representative training data—models are likely to make errors and produce inaccurate results.

AI 64

AI AI Machine Learning Machine Learning 64

Snorkel AI

OCTOBER 18, 2023

Claims data is often noisy, unstructured, and multi-modal. Manually aligning and labeling this data is laborious and expensive, but—without high-quality representative training data—models are likely to make errors and produce inaccurate results.

AI 59

AI AI Machine Learning Machine Learning 59

ODSC - Open Data Science

APRIL 6, 2023

But its status as the go-between for programming and data professionals isn’t its only power. Within SQL you can also filter data, aggregate it and create valuations, manipulate data, update it, and even do data modeling. Finally, cloud services.

SQL 98

SQL Data Scientist Database Data Science 98

Snorkel AI

OCTOBER 18, 2023

Claims data is often noisy, unstructured, and multi-modal. Manually aligning and labeling this data is laborious and expensive, but—without high-quality representative training data—models are likely to make errors and produce inaccurate results.

AI 52

AI AI ML ML 52

Pickl AI

MARCH 19, 2025

It integrates well with various data sources, making analysis easier. dbt (Data Build Tool) dbt is a data transformation tool that allows engineers to manage and automate SQL-based workflows. It simplifies data modelling and transformation processes, making it easier to maintain data pipelines.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

O'Reilly Media

OCTOBER 19, 2021

We need robust versioning for data, models, code, and preferably even the internal state of applications—think Git on steroids to answer inevitable questions: What changed? As a commercial product, Databricks provides a managed environment that combines data-centric notebooks with a proprietary production infrastructure.

ML 145

ML ML Data Scientist AWS 145

Mlearning.ai

FEBRUARY 16, 2023

The platform enables quick, flexible, and convenient options for storing, processing, and analyzing data. The solution was built on top of Amazon Web Services and is now available on Google Cloud and Microsoft Azure. Use Multiple Data Models With on-premise data warehouses, storing multiple copies of data can be too expensive.

Data Warehouse 52

Data Warehouse Business Intelligence Business Intelligence Database 52

Pickl AI

JUNE 18, 2024

Advanced Analytics on the Rise: DAX and Machine Learning The introduction of DAX (Data Analysis Expressions) unlocked the potential for complex calculations and data manipulation directly within Power BI. Ensure data consistency and accuracy for trustworthy insights. How Can AI be Integrated With Power BI Projects?

Power BI 52

Power BI Data Analysis Data Analysis Data Visualization 52

DagsHub

DECEMBER 11, 2023

DagsHub DagsHub is a centralized Github-based platform that allows Machine Learning and Data Science teams to build, manage and collaborate on their projects. In addition to versioning code, teams can also version data, models, experiments and more. However, these tools have functional gaps for more advanced data workflows.

Machine Learning 98

Machine Learning Machine Learning Data Lakes Data Science 98

Precisely

MARCH 9, 2023

Processing speeds were considerably slower than they are today, so large volumes of data called for an approach in which data was staged in advance, often running ETL (extract, transform, load) processes overnight to enable next-day visibility to key performance indicators.

Data Lakes 59

Data Lakes Data Warehouse Hadoop Big Data 59

Pickl AI

NOVEMBER 28, 2024

Model Evaluation and Tuning After building a Machine Learning model, it is crucial to evaluate its performance to ensure it generalises well to new, unseen data. Model evaluation and tuning involve several techniques to assess and optimise model accuracy and reliability.

Machine Learning 52

Machine Learning Machine Learning ML ML 52