Pickl AI

DECEMBER 4, 2023

In the realm of Data Intelligence, the blog demystifies its significance, components, and distinctions from Data Information, Artificial Intelligence, and Data Analysis. Data Intelligence emerges as the indispensable force steering businesses towards informed and strategic decision-making. These insights?

Data Analysis 52

Data Analysis Data Analysis Artificial Intelligence Artificial Intelligence 52

Flipboard

MARCH 8, 2023

When the Navy SEALS embraced its motto, “Slow is smooth, and smooth is fast,” they may as well have been discussing building data models in the same …

Data Modeling 65

Data Modeling Data Models Big Data Big Data 65

phData

JULY 18, 2023

Throughout my analytics journey, I’ve encountered all sorts of data models, from simple to incredibly complex. I’ve also helped everyone, from data newbies and data experts, implement a wide range of solutions in Sigma Computing. Benefits Enhanced flexibility for modeling and data changes.

Data Modeling 52

Data Modeling Data Models Database Data Analysis 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. What is a Data Lake?

Data Lakes 52

Data Lakes Data Modeling Data Models Data Warehouse 52

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 Modeling 98

Data Modeling Data Models Database SQL 98

Analytics Vidhya

OCTOBER 10, 2022

This article was published as a part of the Data Science Blogathon. Introduction A data model is an abstraction of real-world events that we use to create, capture, and store data in a database that user applications require, omitting unnecessary details.

Data Engineering 316

Data Engineering Data Engineer Data Engineering Data Engineering 316

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 83

Artificial Intelligence Artificial Intelligence Natural Language Processing Data Science 83

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 Modeling Data Models 59

Dataversity

JUNE 24, 2022

Data models play an integral role in the development of effective data architecture for modern businesses. They are key to the conceptualization, planning, and building of an integrated data repository that drives advanced analytics and BI.

Data Modeling 52

Data Modeling Data Models Data Warehouse Analytics 52

Dataversity

MAY 16, 2022

As more and more companies start to use data-related applications to manage their huge assets of data, the concepts of data modeling and analytics are becoming increasingly important. Companies use data analysis to clean, transform, and model their sets of data, whereas they […].

Data Modeling 52

Data Modeling Data Models Analytics Analytics 52

Dataversity

OCTOBER 4, 2021

And we have short delivery cycles, sprints, and a lot of peers to share data models with. The post Quick, Easy, and Flexible Data Model Diagrams appeared first on DATAVERSITY. Many of us have a lot to do. In search of something lightweight, which is quick and easy, and may be produced (or consumed) by other programs?

Data Modeling 52

Data Modeling Data Models Database 52

Dataversity

FEBRUARY 4, 2022

But decisions made without proper data foundations, such as well-constructed and updated data models, can lead to potentially disastrous results. For example, the Imperial College London epidemiology data model was used by the U.K. Government in 2020 […].

Data Modeling 52

Data Modeling Data Models Data Quality Data Governance 52

Dataversity

JULY 26, 2021

aka Data Modeling What?) Sometimes the obvious is not that … obvious. Many people know that I am on the graph-y side of the house. But explaining a simple matter like […]. The post What’s in a Name? appeared first on DATAVERSITY.

Data Modeling 52

Data Modeling Data Models Database 52

Flipboard

FEBRUARY 14, 2023

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

Data Modeling 120

Data Modeling Data Models Database Big Data 120

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 Modeling Data Models 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 368

Data Science Database Administration Data Scientist Machine Learning 368

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 Engineering 130

Data Engineering Data Engineer Data Engineering Data Engineering 130

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

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

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 Modeling 52

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

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

phData

FEBRUARY 15, 2024

Model-Driven Apps The second type of Power App we will explore is the Model-driven app, built on a data model , allowing users to create powerful, data-centric applications quickly. The data model drives the app’s layout and business processes. Why PowerApps?

Data Modeling 52

Data Modeling Data Models Database 52

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 Warehouse 129

Data Warehouse Data Mining Data Mining Data Mining 129

IBM Journey to AI blog

APRIL 8, 2024

Acquisitions and mergers Consider this fictional example: A company that sells three-wheeled cars has created a robust data model where it is easy to get to any piece of data and the format is understood across the business. The new company’s data model is completely different from the original company.

Data Governance 60

Data Governance Data Modeling Data Models AI 60

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 Machine Learning 221

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

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 88

Power BI Data Analysis Data Analysis Data Modeling 88

phData

MAY 31, 2023

AI models, like ChatGPT, have provided a lot of efficiencies for individual contributors, but generally not regarding company-specific information. There is a huge opportunity in leveraging AI to provide business users with quick insights into their company data.

SQL 52

SQL Data Modeling Data Models Database 52

DrivenData Labs

MARCH 26, 2024

One critical tool for understanding and improving the urgent challenges facing our world is Earth observation (EO) data, meaning data that is gathered in outer space about life here on Earth! Earth observation data provides accurate and free information on our atmosphere, oceans, ecosystems, land cover, and built environment.

Power BI 264

Power BI Data Scientist Python Machine Learning 264

Pickl AI

JULY 3, 2023

Business Intelligence (BI) refers to the technology, techniques, and practises that are used to gather, evaluate, and present information about an organisation in order to assist decision-making and generate effective administrative action. Based on the report of Zion Research, the global market of Business Intelligence rose from $16.33

Business Intelligence 52

Business Intelligence Business Intelligence SQL Data Visualization 52

Pickl AI

MAY 7, 2024

The ever-growing tide of data continues to reshape the business landscape, demanding a new breed of professionals – the Data Analysts. These data detectives delve into the vast ocean of information, collecting, cleaning, and analyzing it to uncover hidden gems of knowledge. Enters: Tableau for Data Analyst.

Data Analyst 52

Data Analyst Tableau Data Science Power BI 52

Dataversity

JULY 14, 2023

My background as a data modeler over many years makes me shiver a little bit, because what the friendly AI helpers help us produce is subjected to cognitive processes, where we, the readers, process […] The post Generative AI and Semantic Compliance appeared first on DATAVERSITY. But there are loads of them.

AI 52

AI AI Data Modeling Data Models 52

IBM Journey to AI blog

NOVEMBER 29, 2023

Structured synthetic data types are quantitative and includes tabular data, such as numbers or values, while unstructured synthetic data types are qualitative and includes text, images, and video. While a synthetic dataset may achieve high accuracy, it could compromise privacy by including too much of the original data.

Data Scientist 86

Data Scientist Machine Learning Machine Learning AI 86

Dataconomy

OCTOBER 17, 2023

Want to create a robust data warehouse architecture for your business? The sheer volume of data that companies are now gathering is incredible, and understanding how best to store and use this information to extract top performance can be incredibly overwhelming.

Data Warehouse 103

Data Warehouse Big Data Big Data ETL 103

Towards AI

APRIL 22, 2024

Items in your shopping carts, comments on all your posts, and changing scores in a video game are examples of information stored somewhere in a database. Data Model And Schema Flexibility Relational Databases: These are the best for structured data, with predefined schemas and complicated relationships between entities.

Database 93

Database SQL Clustering Big Data 93