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 Models 90

Data Models Data Modeling 90

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.

Data Models 98

Data Models Data Modeling Database SQL 98

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?

Power BI 93

Power BI Data Models Data Modeling Data Warehouse 93

Flipboard

JULY 24, 2023

Researchers from many universities build open-source projects which contribute to the development of the Data Science domain. It is also called the second brain as it can store data that is not arranged according to a present data model or schema and, therefore, cannot be stored in a traditional relational database or RDBMS.

Artificial Intelligence 122

Artificial Intelligence Artificial Intelligence Natural Language Processing Data Science 122

Dataconomy

JUNE 10, 2022

The vast majority of data created today is unstructured – that is, it’s information in many different forms that don’t follow conventional data models. According to IDC, 80% of all data by 2025. That makes it difficult to store and manage in a standard relational database.

Database 170

Database Data Models Data Modeling 170

Data Science Dojo

MAY 10, 2023

In the current landscape, data science has emerged as the lifeblood of organizations seeking to gain a competitive edge. As the volume and complexity of data continue to surge, the demand for skilled professionals who can derive meaningful insights from this wealth of information has skyrocketed.

Data Science 272

Data Science Database Administration Data Scientist Machine Learning 272

Flipboard

FEBRUARY 14, 2023

Time-varying entities may contain multiple time-varying and static attributes, making mapping them a particular challenge.

Data Models 123

Data Models Data Modeling Database Big Data 123

Data Science Dojo

APRIL 18, 2023

Whether you’re located anywhere in the world or belong to any profession, you can still develop the expertise needed to be a skilled data analyst. Who are data analysts? Data analysts are professionals who use data to identify patterns, trends, and insights that help organizations make informed decisions.

Data Analyst 195

Data Analyst Data Visualization Data Analysis Data Analysis 195

Data Science Dojo

FEBRUARY 9, 2023

From data discovery and cleaning to report creation and sharing, we will delve into the key steps that can be taken to turn data into decisions. A data analyst is a professional who uses data to inform business decisions. Check out this course and learn Power BI today!

Power BI 221

Power BI Data Analyst Data Visualization Data Analysis 221

Hacker News

NOVEMBER 19, 2024

Here are a few of the things that you might do as an AI Engineer at TigerEye: - Design, develop, and validate statistical models to explain past behavior and to predict future behavior of our customers’ sales teams - Own training, integration, deployment, versioning, and monitoring of ML components - Improve TigerEye’s existing metrics collection and (..)

Computer Science 160

Computer Science Computer Science ETL ML 160

Data Science Dojo

JULY 21, 2023

DAX formulas include functions, operators, and values to perform advanced calculations and queries on data in related tables and columns in tabular data models. The Basics of DAX for Data Analysis DAX is a powerful language that can be used to create dynamic and informative reports that can help you make better decisions.

Data Analysis 195

Data Analysis Data Analysis Power BI Data Modeling 195

Data Science Dojo

JULY 21, 2023

DAX formulas include functions, operators, and values to perform advanced calculations and queries on data in related tables and columns in tabular data models. The Basics of DAX for Data Analysis DAX is a powerful language that can be used to create dynamic and informative reports that can help you make better decisions.

Data Analysis 195

Data Analysis Data Analysis Power BI Data Modeling 195

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 Models 59

Data Models Data Modeling 59

Data Science Dojo

FEBRUARY 23, 2024

You can upload your data files to this GPT that it can then analyze. Once you provide relevant prompts of focus to the GPT, it can generate appropriate data visuals based on the information from the uploaded files. Other than the advanced data analysis, it can also deal with image conversions.

Data Science 253

Data Science Data Analysis Data Analysis Machine Learning 253

Data Science Connect

JANUARY 27, 2023

Understanding how data warehousing works and how to design and implement a data warehouse is an important skill for a data engineer. Learn about data modeling: Data modeling is the process of creating a conceptual representation of data.

Data Engineer 130

Data Engineer Data Engineering Data Engineering Data Engineering 130

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 Models 52

Data Models Data Modeling 52

Data Science Dojo

MARCH 7, 2023

As data science evolves and grows, the demand for skilled data scientists is also rising. A data scientist’s role is to extract insights and knowledge from data and to use this information to inform decisions and drive business growth.

Data Scientist 221

Data Scientist Exploratory Data Analysis Data Visualization Data Science 221

Smart Data Collective

MAY 16, 2022

Data management software helps in reducing the cost of maintaining the data by helping in the management and maintenance of the data stored in the database. It also helps in providing visibility to data and thus enables the users to make informed decisions. They are a part of the data management system.

Data Mining 134

Data Mining Data Mining Data Mining Data Warehouse 134

Data Science Dojo

SEPTEMBER 9, 2024

Fairness aims to prevent discrimination and bias in AI models, addressing risks where AI might reinforce harmful stereotypes or create unequal opportunities in areas like hiring, lending, or law enforcement. Security is about safeguarding AI systems from threats like adversarial attacks, model theft, and data tampering.

AI 195

AI AI Artificial Intelligence Artificial Intelligence 195

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

Dataconomy

SEPTEMBER 4, 2023

Cloud analytics is the art and science of mining insights from data stored in cloud-based platforms. By tapping into the power of cloud technology, organizations can efficiently analyze large datasets, uncover hidden patterns, predict future trends, and make informed decisions to drive their businesses forward.

Analytics 203

Analytics Analytics Big Data Analytics Big Data Analytics 203

Towards AI

NOVEMBER 12, 2024

But with this rapid growth comes a key challenge: ensuring that AI-generated information is precise, trustworthy, and free from “hallucinations”. In AI, hallucinations refer to errors where the model generates incorrect or invented information.

AI 111

AI AI Data Modeling Data Models 111

Data Science Dojo

FEBRUARY 23, 2024

It makes them more versatile as they are not limited to handling textual information, but can process multimodal forms of data. Other data science tasks include data preprocessing, visualization, and statistical analysis. You can upload your data files to this GPT that it can then analyze.

Data Science 195

Data Science Data Analysis Data Analysis Data Analyst 195

Flipboard

NOVEMBER 21, 2024

These tools act as bridges, allowing models to retrieve application-specific, real-time or dynamic information […] The way to do that is with tools (sometimes referred to as function calling).

AI 171

AI AI Data Models Data Modeling 171

Data Science Dojo

FEBRUARY 23, 2024

It makes them more versatile as they are not limited to handling textual information, but can process multimodal forms of data. Other data science tasks include data preprocessing, visualization, and statistical analysis. You can upload your data files to this GPT that it can then analyze.

Data Science 195

Data Science Data Analysis Data Analysis ML 195

phData

SEPTEMBER 27, 2024

Introduction: The Customer Data Modeling Dilemma You know, that thing we’ve been doing for years, trying to capture the essence of our customers in neat little profile boxes? For years, we’ve been obsessed with creating these grand, top-down customer data models. Yeah, that one.

Data Models 52

Data Models Data Modeling Apache Kafka Data Lakes 52

Flipboard

JULY 26, 2023

Fact and dimension tables are crucial components of Power BI data models. Enhance your data analysis by learning their differences. In Power BI, fact …

Power BI 123

Power BI Data Analysis Data Analysis Data Models 123

Flipboard

NOVEMBER 20, 2024

By narrowing down the search space to the most relevant documents or chunks, metadata filtering reduces noise and irrelevant information, enabling the LLM to focus on the most relevant content. By combining the capabilities of LLM function calling and Pydantic data models, you can dynamically extract metadata from user queries.

AWS 160

AWS Natural Language Processing AI Machine Learning 160

Towards AI

MARCH 20, 2024

Graph databases and knowledge graphs are among the most widely adopted solutions for managing data represented as graphs, consisting of nodes (entities) and edges (relationships). Knowledge graphs extend the capabilities of graph databases by incorporating mechanisms to infer and derive new knowledge from the existing graph data.

Database 119

Database Data Analysis Data Analysis Data Modeling 119

phData

SEPTEMBER 11, 2023

Location Based RLS An organization wants specific subsets of users only to see information about locations that are specific to them (City/State/Region/Country, etc.) Ex: We are the VP of Finance for the Western region and should only see data for that specific area. a regional sales team needs to view data for their region).

Power BI 101

Power BI Data Modeling Data Models Data Governance 101

Smart Data Collective

AUGUST 9, 2022

NoSQL databases became possible fairly recently, in the late 2000s, all thanks to the decrease in the price of data storage. Just like that, the need for complex and difficult-to-manage data models has dissipated to give way to better developer productivity. Databases of this type store data in edges and nodes.

Database 119

Database SQL Big Data Big Data 119

Smart Data Collective

MARCH 14, 2022

As well as pulling in data in real time, the latest route planning tools can use historic data to determine the best way to orchestrate individual drivers as well as entire teams, taking into account road conditions, congestion and more besides. Market Research for Customer Engagement. Final Thoughts.

Big Data 130

Big Data Big Data Data Modeling Data Models 130

IBM Journey to AI blog

APRIL 5, 2024

No single system can manage all the required information views to enable end-to-end optimization. The following figure demonstrates how a platform approach can integrate data flows. Asset data is the basis for the network. The asset management ecosystem The asset management network is complex.

Data Modeling 82

Data Modeling Data Models Machine Learning Machine Learning 82

Data Science Dojo

AUGUST 19, 2024

To address the bias-variance trade-off: Regularization: Techniques like L1 and L2 regularization can help prevent overfitting by penalizing complex models. Ensemble methods: Combining multiple models can reduce variance and improve generalization. Model selection: Carefully selecting the appropriate model complexity for the given task.

AI 195

AI AI Machine Learning Machine Learning 195

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?

Database 111

Database Data Modeling Data Models SQL 111

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. Improved Analytics: financial institutions can access more detailed information about each transaction, enabling more sophisticated payment analytics.

Analytics 131

Analytics Analytics Data Modeling Data Models 131

Tableau

JULY 25, 2024

Spencer Czapiewski July 25, 2024 - 5:54pm Thomas Nhan Director, Product Management, Tableau Lari McEdward Technical Writer, Tableau Expand your data modeling and analysis with Multi-fact Relationships, available with Tableau 2024.2. You may have heard of Multi-fact Relationships informally referred to as “shared dimensions.”

Tableau 74

Tableau Data Modeling Data Models Data Silos 74