Cambridge Intelligence

APRIL 4, 2023

In this tutorial for JavaScript developers, I’ll demonstrate how to integrate our graph visualization SDKs with Neo4j to create a powerful data visualization web app. FREE: Start your KeyLines trial today Visualize your data! Right – let’s start building our data visualization web app!

Data Visualization 59

Data Visualization Database Data Modeling Data Models 59

phData

DECEMBER 2, 2024

The typical flow of data from the data source to the Power BI dashboard is the following: Tables with data that are queried from the source The data is transformed in Power Query Data is then loaded into Power BI The data model is created with all of the necessary relationships between the tables.

Power BI 52

Power BI Data Modeling Data Models Data Visualization 52

Data Science Dojo

MARCH 7, 2023

These skills include programming languages such as Python and R, statistics and probability, machine learning, data visualization, and data modeling. Data preparation is an essential step in the data science workflow, and data scientists should be familiar with various data preparation tools and best practices.

Data Scientist 222

Data Scientist Exploratory Data Analysis Data Visualization Data Science 222

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!

Power BI 222

Power BI Data Analyst Data Visualization Data Analysis 222

Data Science Dojo

JULY 6, 2023

Data engineering tools offer a range of features and functionalities, including data integration, data transformation, data quality management, workflow orchestration, and data visualization. Essential data engineering tools for 2023 Top 10 data engineering tools to watch out for in 2023 1.

Data Engineering 195

Data Engineering Data Engineer Data Engineering Data Engineering 195

Smart Data Collective

APRIL 4, 2022

We have talked in the past about the importance of data visualization in business. However, many companies are struggling to figure out how to use data visualization effectively. One of the ways to accomplish this is with presentation templates that can use data modeling. Keep reading to learn more.

Data Visualization 115

Data Visualization Data Modeling Data Models Big Data 115

Tableau

MARCH 19, 2024

Countless hours vizzing, a standout Tableau Public profile , and a graduate degree later, Karolina reflects on her data journey and what led her to her current role as a Business Intelligence Analyst at Schneider Electric. I already had some interest in data visualization, I just didn't know where to start.

Tableau 126

Tableau Data Visualization Business Intelligence Business Intelligence 126

Pickl AI

JULY 3, 2023

It is the process of converting raw data into relevant and practical knowledge to help evaluate the performance of businesses, discover trends, and make well-informed choices. Data gathering, data integration, data modelling, analysis of information, and data visualization are all part of intelligence for businesses.

Business Intelligence 52

Business Intelligence Business Intelligence SQL Data Visualization 52

Data Science Dojo

FEBRUARY 23, 2024

Data Analyst Data Analyst is a featured GPT in the store that specializes in data analysis and visualization. You can upload your data files to this GPT that it can then analyze. Other than the advanced data analysis, it can also deal with image conversions. It is capable of writing and running Python codes.

Data Science 264

Data Science Data Analysis Data Analysis Machine Learning 264

The Data Administration Newsletter

AUGUST 31, 2021

The purpose of data visualization is to facilitate the perception of information arrays and to identify patterns that are difficult to notice in a text table. To make a useful and powerful infographic, you need to follow the laws and regulations of data visualization.

Data Visualization 94

Data Visualization Data Modeling Data Models Big Data 94

Data Science Dojo

FEBRUARY 23, 2024

Data Analyst Data Analyst is a featured GPT in the store that specializes in data analysis and visualization. You can upload your data files to this GPT that it can then analyze. Other than the advanced data analysis, it can also deal with image conversions. It is capable of writing and running Python codes.

Data Science 195

Data Science Data Analysis Data Analysis Data Analyst 195

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

Data Science Dojo

FEBRUARY 23, 2024

Data Analyst Data Analyst is a featured GPT in the store that specializes in data analysis and visualization. You can upload your data files to this GPT that it can then analyze. Other than the advanced data analysis, it can also deal with image conversions. It is capable of writing and running Python codes.

Data Science 195

Data Science Data Analysis Data Analysis ML 195

Cambridge Intelligence

OCTOBER 25, 2023

When you design your data model, you’ll probably begin by sketching out your data in a graph format – representing entities as nodes and relationships as links. Working in a graph database means you can take that whiteboard model and apply it directly to your schema with relatively few adaptations.

Database 64

Database Data Modeling Data Models Algorithm 64

Data Science Dojo

JANUARY 10, 2023

In conclusion, the extent of programming knowledge depends on where you want to work across the broad spectrum of the data science field. 5. Learning a tool is enough to become a data scientist Knowing a particular programming language, or a data visualization tool is not all you need to become a data scientist.

Data Science 195

Data Science Data Scientist Data Analyst Machine Learning 195

phData

MARCH 28, 2024

Use Cases and Examples Tables are best for data presentation, analysis and reporting, and data modeling. Presentation: Commonly used to present structured data in a spreadsheet-like format; each row represents a record, and each column represents a different attribute or measure associated with that record.

Data Modeling 52

Data Modeling Data Models Data Visualization SQL 52

Data Science Dojo

OCTOBER 31, 2024

Their role is crucial in understanding the underlying data structures and how to leverage them for insights. Key Skills Proficiency in SQL is essential, along with experience in data visualization tools such as Tableau or Power BI.

Data Science 195

Data Science Data Scientist Machine Learning Machine Learning 195

phData

MAY 25, 2023

Two of the platforms that we see emerging as a popular combination of data warehousing and business intelligence are the Snowflake Data Cloud and Power BI. Debuting in 2015, Power BI has undergone meaningful updates that have made it a leader not just in data visualization, but in the business intelligence space as well.

Power BI 84

Power BI Analytics Analytics Azure 84

Dataconomy

MAY 2, 2023

What do machine learning engineers do: They implement and train machine learning models Data modeling One of the primary tasks in machine learning is to analyze unstructured data models, which requires a solid foundation in data modeling. R is especially popular in academia and research.

ML 110

ML ML Machine Learning Machine Learning 110

Pickl AI

JULY 25, 2023

Proficient in programming languages like Python or R, data manipulation libraries like Pandas, and machine learning frameworks like TensorFlow and Scikit-learn, data scientists uncover patterns and trends through statistical analysis and data visualization. Data Visualization: Matplotlib, Seaborn, Tableau, etc.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

DataSeries

AUGUST 15, 2024

Knowledge of Core Data Engineering Concepts Ensure one possess a strong foundation in core data engineering concepts, which include data structures, algorithms, database management systems, data modeling , data warehousing , ETL (Extract, Transform, Load) processes, and distributed computing frameworks (e.g.,

Data Engineering 40

Data Engineering Data Engineer Data Engineering Data Engineering 40

Pickl AI

MARCH 15, 2024

Summary: Tableau is fantastic for data visualization, but understanding your data is key. Data types in Tableau act like labels, telling Tableau if it’s a number for calculations, text for labels, or a date for trends. Using the right type ensures accuracy and avoids misleading visuals.

Tableau 52

Tableau Data Visualization Data Analyst Analytics 52

IBM Journey to AI blog

JUNE 27, 2023

Two streams ran at speed in parallel—stakeholder interviews leading to a UI wire-frame design, and development of the UI in React alongside design and population of the data model. What possibilities did this data visualization project highlight?

Data Modeling 74

Data Modeling Data Models Data Scientist Data Visualization 74

Cambridge Intelligence

FEBRUARY 20, 2024

FREE: Managing fraud The ultimate guide to fraud detection, investigation and prevention using data visualization GET YOUR FREE GUIDE The role of new & existing technology For many years, credit card companies have relied on analytics, algorithms and decision trees to power their fraud strategy.

AI 59

AI AI Machine Learning Machine Learning 59

Cambridge Intelligence

FEBRUARY 15, 2024

Most successful investigators bring data visualization into their due diligence workflow. Graph visualization (link analysis) and ‘pattern-of-life’ timelines are essential for compliance because they put users in control of the investigation, giving them an intuitive way to navigate and organize the information they’re exploring.

Data Visualization 64

Data Visualization Data Modeling Data Models 64

IBM Journey to AI blog

SEPTEMBER 19, 2023

js and Tableau Data science, data analytics and IBM Practicing data science isn’t without its challenges. There can be fragmented data, a short supply of data science skills and rigid IT standards for training and deployment.

Data Science 98

Data Science Analytics Analytics Data Scientist 98

Smart Data Collective

APRIL 14, 2021

If you occasionally run business stands in fairs, congresses and exhibitions, business stands designers can incorporate business intelligence to aid in better business and client data collection. Business intelligence tools can include data warehousing, data visualizations, dashboards, and reporting.

Business Intelligence 135

Business Intelligence Business Intelligence Tableau SQL 135

Smart Data Collective

OCTOBER 5, 2020

Power BI proves to be the best tool for analysis and visualization of data. Microsoft Power BI is a Business Intelligence and Data Visualization tool which assists organizations to analyze data from multiple sources, convert it into an interactive dashboard and share insights.

Power BI 92

Power BI Business Intelligence Business Intelligence Data Modeling 92

Cambridge Intelligence

JUNE 18, 2024

We now have a Neo4j instance connected to a working ReGraph application, ready to visualize graphs. The data model Our Sandbox contains a subset of Neo4j-related Stack Overflow questions. There are five node types, connected in the following model: The Stack Overflow data model, created using the arrows.app.

Database 59

Database Data Modeling Data Models Data Visualization 59

Pickl AI

AUGUST 28, 2023

Key Features of Power BI: Power BI is a powerful business intelligence tool developed by Microsoft that enables users to visualize and analyze data from various sources. It offers a wide range of features that make it a popular choice for data professionals, analysts, and organizations.

Power BI 52

Power BI Data Analysis Data Analysis Data Visualization 52

Cambridge Intelligence

NOVEMBER 19, 2024

Graph visualization SDKs would have been a huge asset to those projects. To prove this, I built my own digital twin using the KeyLines graph visualization toolkit. Let’s see how advanced data visualization can illuminate these models and uncover powerful insights. What is a digital twin?

Data Visualization 52

Data Visualization Algorithm Data Wrangling Python 52

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 SQL Analytics 59

Smart Data Collective

APRIL 5, 2022

This feature helps automate many parts of the data preparation and data model development process. This significantly reduces the amount of time needed to engage in data science tasks. A text analytics interface that helps derive actionable insights from unstructured data sets.

Data Scientist 125

Data Scientist Data Science Machine Learning Machine Learning 125

Tableau

MARCH 2, 2021

In fact, visualizing what’s there as well as calling out what’s not there has helped data source providers identify areas for improvement. . Different data sources, one data visualization: the power of Prep Builder.

Tableau 98

Tableau Data Visualization Data Modeling Data Models 98

Tableau

DECEMBER 7, 2022

Cut costs by consolidating data warehouse investments. Think of Tableau as your data visualization and business intelligence layer on top of Genie—allowing you to see, understand, and act on your live customer data. Harmonize your customer data into a unified view by mapping data sources into shared data models in Genie.

Tableau 98

Tableau Data Warehouse Data Pipeline Data Visualization 98

Tableau

DECEMBER 7, 2022

Cut costs by consolidating data warehouse investments. Think of Tableau as your data visualization and business intelligence layer on top of Genie—allowing you to see, understand, and act on your live customer data. Harmonize your customer data into a unified view by mapping data sources into shared data models in Genie.

Tableau 98

Tableau Data Warehouse Data Pipeline Data Visualization 98

Pickl AI

OCTOBER 17, 2023

Learn how Data Scientists use ChatGPT, a potent OpenAI language model, to improve their operations. ChatGPT is essential in the domains of natural language processing, modeling, data analysis, data cleaning, and data visualization. This will enhance the data preparation stage of machine learning.

Data Scientist 52

Data Scientist Machine Learning Machine Learning Data Science 52