Data Science Blog

MAY 20, 2024

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. It also supports a wide range of data warehouses, analytical databases, data lakes, frontends, and pipelines/ETL. Mixed approach of DV 2.0

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Data Pipeline Data Warehouse Azure Data Lakes 262

Data Science Blog

NOVEMBER 15, 2023

New big data architectures and, above all, data sharing concepts such as Data Mesh are ideal for creating a common database for many data products and applications. The Event Log Data Model for Process Mining Process Mining as an analytical system can very well be imagined as an iceberg.

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Data Models Data Modeling Business Intelligence Business Intelligence 245

phData

JUNE 13, 2023

While the front-end report visuals are important and the most visible to end users, a lot goes on behind the scenes that contribute heavily to the end product, including data modeling. In this blog, we’ll describe data modeling and its significance in Power BI. What is Data Modeling?

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Power BI Data Models Data Modeling Data Warehouse 93

Towards AI

NOVEMBER 12, 2024

Sources of Hallucinations: Generalized Training Data: Models trained on non-specialized data may lack depth in healthcare-specific contexts.Probabilistic Generation: LLMs generate text based on probability, which sometimes leads them to select… Read the full blog for free on Medium.

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AI AI Data Modeling Data Models 111

Dataversity

JANUARY 18, 2021

So, I had to cut down my January 2021 list of things of importance in Data Modeling in this new, fine year (I hope)! The post 2021: Three Game-Changing Data Modeling Perspectives appeared first on DATAVERSITY. Common wisdom has it that we humans can only focus on three things at a time.

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Data Modeling Data Models Database SQL 98

Dataversity

MAY 29, 2023

A unified data model allows businesses to make better-informed decisions. By providing organizations with a more comprehensive view of the data sources they’re using, which makes it easier to understand their customers’ experiences. appeared first on DATAVERSITY.

Data Modeling 90

Data Modeling Data Models 90

KDnuggets

JUNE 11, 2025

By Nate Rosidi , KDnuggets Market Trends & SQL Content Specialist on June 11, 2025 in Language Models Image by Author | Canva If you work in a data-related field, you should update yourself regularly. Data scientists use different tools for tasks like data visualization, data modeling, and even warehouse systems.

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Data Scientist Natural Language Processing Data Science Machine Learning 251

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. With the concept of Data Mesh you will be able to access all your organizational internal and external data sources once and provides the data as several data models for all your analytical applications.

Data Science 246

Data Science Azure Power BI Business Intelligence 246

The Data Administration Newsletter

JUNE 15, 2021

Data Governance describes the practices and processes organizations use to manage the access, use, quality and security of an organizations data assets. The data-driven business era has seen a rapid rise in the value of organization’s data resources.

Data Governance 105

Data Governance Data Modeling Data Models 105

Data Science Connect

JANUARY 27, 2023

It is the process of collecting, storing, managing, and analyzing large amounts of data, and data engineers are responsible for designing and implementing the systems and infrastructure that make this possible. Learn about data modeling: Data modeling is the process of creating a conceptual representation of data.

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Data Engineering Data Engineering Data Engineer Data Engineering 130

Towards AI

FEBRUARY 7, 2024

What is the purpose of this… Read the full blog for free on Medium. Join thousands of data leaders on the AI newsletter. Convert these to a string: df['a'] = 'a' + df['a'].astype(str)df['b'] astype(str)df['b'] = 'b' + df['b'].astype(str)df['c']

Data Modeling 109

Data Modeling Data Models Algorithm AI 109

Dataversity

FEBRUARY 5, 2024

Therefore, it was just a matter of time before this chess-inspired outlook permeated my professional life as a data practitioner. In both chess and data modeling, the […] The post Data’s Chess Game: Strategic Moves in Data Modeling for Competitive Advantage appeared first on DATAVERSITY.

Data Modeling 59

Data Modeling Data Models 59

Dataversity

JUNE 2, 2025

The tagline on the book is Boosting Productivity Through Data Structure Reuse.Ultimately, the book is about combining the mathematical truths of set theory and applying that to data modeling, but all wrapped together in an adventure with the author.

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Data Modeling Data Models 98

Dataversity

MAY 31, 2024

In the contemporary business environment, the integration of data modeling and business structure is not only advantageous but crucial. This dynamic pair of documents serves as the foundation for strategic decision-making, providing organizations with a distinct pathway toward success.

Data Modeling 52

Data Modeling 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 Modeling Data Models Data Warehouse 52

Dataversity

FEBRUARY 14, 2024

This requires a strategic approach, in which CxOs should define business objectives, prioritize data quality, leverage technology, build a data-driven culture, collaborate with […] The post Facing a Big Data Blank Canvas: How CxOs Can Avoid Getting Lost in Data Modeling Concepts appeared first on DATAVERSITY.

Big Data 59

Big Data Big Data Data Models Data Modeling 59

Towards AI

JANUARY 11, 2024

Tabular data is the data in the typical table — some columns and rows are structured well, like in Excel or SQL data. It's the most common usage of data forms in many data use cases. With the power of LLM, we would learn how to explore the data and perform data modeling. How do we do?

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Python Clean Data Data Science SQL 126

Dataconomy

JANUARY 13, 2025

What is happening to stock market forecasting by AI will be discussed in this blog. And well see how it plays out in the technology, in the data-mining and for investors. #1 Good data is the main factor in AI prediction. Overfitting: Overfitting is when the AI learns the training data too fast, with noise and outliers.

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AI AI Algorithm Artificial Intelligence 103

Data Science Blog

SEPTEMBER 19, 2023

This ensures that the data models and queries developed by data professionals are consistent with the underlying infrastructure. Enhanced Security and Compliance Data Warehouses often store sensitive information, making security a paramount concern. appeared first on Data Science Blog.

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Data Warehouse Azure SQL Database 259

IBM Journey to AI blog

MAY 29, 2024

Designing data models and generating Entity-Relationship Diagrams (ERDs) demand significant effort and expertise. Data model creation : Based on use cases and user stories, watsonx can generate robust data models representing the software’s data structure.

Data Modeling 87

Data Modeling Data Models Database AI 87

Dataversity

AUGUST 12, 2024

One of the most important questions about using AI responsibly has very little to do with data, models, or anything technical. How can […] The post Ask a Data Ethicist: How Can We Set Realistic Expectations About AI? It has to do with the power of a captivating story about magical thinking.

AI 105

AI AI Data Modeling Data Models 105

Towards AI

JULY 17, 2024

I’m not going to go into huge details on this as if you follow AI / LLM (which I assume you do if you are reading this) but in a nutshell, RAG is the process whereby you feed external data into an LLM alongside prompts to ensure it has all of the information it needs to make decisions. What is GraphRAG? Why use Graphs and what are they?

Database 110

Database Data Models Data Modeling SQL 110

AWS Machine Learning Blog

DECEMBER 9, 2024

For your reference, this blog post demonstrates a solution to create a VPC with no internet connection using an AWS CloudFormation template. Run ML experimentation with MLflow using the @remote decorator from the open-source SageMaker Python SDK. The overall solution architecture is shown in the following figure.

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Data Science Dojo

FEBRUARY 9, 2023

Data is an essential component of any business, and it is the role of a data analyst to make sense of it all. Power BI is a powerful data visualization tool that helps them turn raw data into meaningful insights and actionable decisions. Check out this course and learn Power BI today!

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Power BI Data Analyst Data Visualization Data Analysis 221

Iguazio

JUNE 9, 2025

In this blog post, we spotlight a leading player in the gen AI infrastructure ecosystem, NVIDIA , commonly known for their GPUs, software and research that have helped drive gen AI implementation and research. We introduce their new solution model deployment - NVIDIA NIM. Adding observability, logging and experiment tracking.

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AI AI Data Preparation ML 52

Data Science Dojo

JULY 12, 2023

In this blog, we’ll explore the defining traits, benefits, use cases, and key factors to consider when choosing between SQL and NoSQL databases. SQL or NoSQL SQL Database SQL databases are relational databases that store data in tables. So, let’s dive in!

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SQL Database Big Data Big Data 195

Data Science Dojo

JANUARY 10, 2023

Data science myths are one of the main obstacles preventing newcomers from joining the field. In this blog, we bust some of the biggest myths shrouding the field. The US Bureau of Labor Statistics predicts that data science jobs will grow up to 36% by 2031.

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Data Science Data Scientist Data Analyst Machine Learning 195

IBM Journey to AI blog

JUNE 28, 2024

In a previous blog, we presented the three-layered model for efficient network operations. The main challenges in the context of applying generative AI across these layers are: Data layer : Generative AI initiatives are data projects at their core, with inadequate data comprehension being one of the primary complexities.

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AI AI Analytics Analytics 86

phData

SEPTEMBER 11, 2023

Row-level security is a powerful data governance capability across many business intelligence platforms, and Power BI is no exception. In this blog, we will provide a high-level summary of row-level security, why it’s important for your team, when to use it, and how to set it up in Power BI. In the new window, click Manage roles.

Power BI 101

Power BI Data Modeling Data Models Data Governance 101

IBM Journey to AI blog

APRIL 5, 2024

An industry-standard data model A uniform data model is necessary to get a full view of combined systems with information flowing across the ecosystem. Technical, financial, geographical, operational and transactional data attributes are all parts of a data structure.

Data Modeling 82

Data Modeling Data Models Machine Learning Machine Learning 82

Data Science Dojo

JANUARY 16, 2023

Every individual analysis the data obtained via their experience to generate a final decision. Put more concretely, data analysis involves sifting through data, modeling it, and transforming it to yield information that guides strategic decision-making.

Data Analysis 195

Data Analysis Data Analysis Data Analyst Big Data 195

IBM Journey to AI blog

APRIL 18, 2023

ISO 20022 data improves payment efficiency The impact of ISO 20022 on payment systems data is significant, as it allows for more detailed information in payment messages. appeared first on IBM Blog. Talk to the IBM Payments Center team The post ISO 20022: Are your payment systems ready?

Analytics 131

Analytics Analytics Data Models Data Modeling 131

AWS Machine Learning Blog

APRIL 22, 2025

Our goal is to enable you to set up automated, optimal routing between large language models (LLMs) through Amazon Bedrock Intelligent Prompt Routing and its deep understanding of model behaviors within each model family, which incorporates state-of-the-art methods for training routers for different sets of models, tasks and prompts.

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Data Science Blog

AUGUST 22, 2024

Just as a chef’s masterpiece depends on the quality of the ingredients, your AI outcomes will depend on the data you prepare. Investing in your data can only lead to positive results. The post Looking Ahead: The Future of Data Preparation for Generative AI appeared first on Data Science Blog.

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Data Preparation Data Quality AI AI 130

AWS Machine Learning Blog

NOVEMBER 6, 2024

For the past 20 years, he has been helping customers build enterprise data strategies, advising them on Generative AI, cloud implementations, migrations, reference architecture creation, data modeling best practices, and data lake/warehouse architectures.

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AWS Python Machine Learning Machine Learning 118

phData

AUGUST 29, 2023

This blog was written by Spencer Baucke and updated for 2023 by Gavin Pedersen. Letting your Power BI data model get disorganized is a feeling every Power BI developer knows all too well, and it’s something that can occur very quickly when developing. Open the model view by clicking the data model icon on the left.

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Power BI Data Modeling Data Models 52

IBM Journey to AI blog

MARCH 29, 2024

Enterprise applications serve as repositories for extensive data models, encompassing historical and operational data in diverse databases. Generative AI foundational models train on massive amounts of unstructured and structured data, but the orchestration is critical to success.

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AI AI Artificial Intelligence Artificial Intelligence 104