Ontotext

SEPTEMBER 7, 2023

And the other thing is another way of displaying it or visualizing it, which is a little more node based or hierarchically based. Doug : You’ve got nodes that describe data and edges that describe the relationships between them. Doug : Definitely. Would you agree with what I just said? Would you agree? Malcolm : Okay.

Technology 59

Technology Visualization Digital Transformation Management 59

O'Reilly on Data

APRIL 19, 2021

This is significant and definitely worth watching over the next few months. We also asked what kinds of data our “mature” respondents are using. Most (83%) are using structured data (logfiles, time series data, geospatial data). form data). AI technologies used in mature practices.

Enterprise 356

Enterprise Modeling Risk Manufacturing 356

Juice Analytics

MAY 1, 2021

It is a skill that combines elements of artistic expression and structured methods. Then we will discuss how to structure data stories to guide your audience through data. Part 1: Lessons in Data Storytelling from Pixar Pixar is the gold standard in storytelling. This lesson reminds us of “flawed” data points.

Slice and Dice 133

Slice and Dice Recreation/Entertainment Structured Data Dashboards 133

AWS Big Data

MARCH 2, 2023

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. Amazon Redshift enables you to use SQL for analyzing structured and semi-structured data with best price performance along with secure access to the data. Grafana provides a predefined dashboard to visualize database privileges.

Visualization 79

Visualization Dashboards Data Warehouse Metrics 79

AWS Big Data

MARCH 13, 2024

Visual layouts in some screenshots in this post may look different than those on your AWS Management Console. Data generation In this section, we discuss the steps to manually or automatically generate journey data. To query the data with Athena, complete the following steps: On the Athena console, open the query editor.

Analytics 97

Analytics IoT Metadata Internet of Things 97

FineReport

MARCH 7, 2024

These datasets are distinguished by their extensive volume, swift data flow, various data types, and low-value density—crucial factors for generating comprehensive data analysis reports. Immediate Decision-Making Systematizing or productizing the viewpoints from data analysis reports is crucial for immediate decision-making.

Dashboards 52

Dashboards Reporting Advertising Statistics 52

Ontotext

MARCH 8, 2023

Specifically, the increasing amount of data being generated and collected, and the need to make sense of it, and its use in artificial intelligence and machine learning, which can benefit from the structured data and context provided by knowledge graphs. We get this question regularly.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

FineReport

JUNE 24, 2021

Once the data becomes more extensive or more complex, Excel or other simple solutions may “fetter” your potentialities. Business Intelligence Solutions Definition. Business intelligence solutions are a whole combination of technology and strategy, used to handle the existing data of the enterprises effectively.

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

datapine

APRIL 28, 2023

They enable us to interact with computer systems and tell them how we want our data to be processed and interpreted to translate it into building code and designing systems. In this post, we will introduce you to the data type definition, provide some insight into why you need them as well as a list of the most common ones.

Reporting 200

Reporting Data-driven Visualization Interactive 200

FineReport

DECEMBER 27, 2021

Dashboards and visualizations are the primary user interfaces of many tools and platforms. Definition. Business intelligence is the collection, storage, and analysis of data from firm activities to create a holistic perspective of a business. Moreover, dashboards use auditable, trusted, and consistent definitions of data.

Enterprise 59

Enterprise Dashboards Business Intelligence Visualization 59

datapine

MAY 27, 2020

It is possible to structure data across a broad range of spreadsheets, but the final result can be more confusing than productive. By using an online dashboard , you will be able to gain access to dynamic metrics and data in a way that’s digestible, actionable, and accurate.

Reporting 245

Reporting Analytics Dashboards Sales 245

Alation

FEBRUARY 20, 2020

By changing the cost structure of collecting data, it increased the volume of data stored in every organization. Additionally, Hadoop removed the requirement to model or structure data when writing to a physical store.

Data Lake 52

Data Lake Metadata Structured Data Big Data 52

Sisense

JULY 22, 2020

As access to and use of data has now expanded to business team members and others, it’s more important than ever that everyone can appreciate what happens to data as it goes through the BI and analytics process. Your definitive guide to data and analytics processes. After this, the process follows one of two paths: 4.

Slice and Dice 98

Slice and Dice Digital Transformation Data Warehouse Data Lake 98

Ontotext

MAY 18, 2020

These tools will allow them to effectively and efficiently handle extremely large volumes of disparate data – digitized histopathology slides from the visual and textual content of patient’s records, medical publications, diagnoses, etc. Behind the scenes of linking histopathology data and building a knowledge graph out of it.

Knowledge Discovery 72

Knowledge Discovery Experimentation Data-driven Metadata 72

AWS Big Data

JUNE 21, 2023

The challenge comes when we need to ask more complex questions of our data, for example, what was the year-on-year quarterly sales growth by product broken down by country? The case for a data warehouse A data warehouse is ideally suited to answer OLAP queries. To house our data, we need to define a data model.

Data Warehouse 81

Data Warehouse Data Lake OLAP Cost-Benefit 81

AWS Big Data

DECEMBER 21, 2023

For the downstream consumption by all departments across the organization, smava’s Data Platform team prepares curated data products following the extract, load, and transform (ELT) pattern. This is the Data Mart stage. The data products from the Business Vault and Data Mart stages are now available for consumers.

Data Lake 92

Data Lake Data Warehouse Data-driven B2B 92