Analytics Vidhya

MAY 4, 2022

Introduction Text Mining is also known as Text Data Mining or Text Analytics or is an artificial intelligence (AI) technology that uses natural language processing (NLP) to extract essential data from standard language text. It is a process to transform the unstructured data (text […].

Unstructured Data 304

Unstructured Data Data mining Data Science Publishing 304

Cloudera

OCTOBER 29, 2020

From our release of advanced production machine learning features in Cloudera Machine Learning, to releasing CDP Data Engineering for accelerating data pipeline curation and automation; our mission has been to constantly innovate at the leading edge of enterprise data and analytics.

Visualization 111

Visualization Machine Learning Dashboards Data Warehouse 111

Sisense

JUNE 30, 2020

In a world increasingly dominated by data, users of all kinds are gathering, managing, visualizing, and analyzing data in a wide variety of ways. One of the downsides of the role that data now plays in the modern business world is that users can be overloaded with jargon and tech-speak, which can be overwhelming.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

datapine

JUNE 5, 2019

Data dashboards provide a centralized, interactive means of monitoring, measuring, analyzing, and extracting a wealth of business insights from relevant datasets in several key areas while displaying aggregated information in a way that is both intuitive and visual. Data being spread out amongst many databases.

Dashboards 316

Dashboards KPI Sales Visualization 316

Sisense

JUNE 26, 2020

The human brain processes visual data better than any other kind of data, which is good because about 90% of the information our brains process is visual. Visual processing and responses both occur more quickly compared to other stimuli. This where the power of visualizations is apparent.

Visualization 97

Visualization Unstructured Data Measurement Data-driven 97

Analytics Vidhya

APRIL 26, 2023

Introduction Document information extraction involves using computer algorithms to extract structured data (like employee name, address, designation, phone number, etc.) from unstructured or semi-structured documents, such as reports, emails, and web pages.

Structured Data 306

Structured Data Visualization Reporting Analytics 306

Sisense

APRIL 26, 2020

Different types of information are more suited to being stored in a structured or unstructured format. Read on to explore more about structured vs unstructured data, why the difference between structured and unstructured data matters, and how cloud data warehouses deal with them both. Unstructured data.

Unstructured Data 52

Unstructured Data Data Warehouse Structured Data Data mining 52

FineReport

NOVEMBER 6, 2019

What is Data Visualization? Data visualization provides clear, fast and effective communication according to graphical means. From the user’s point of view, data visualization allows users to quickly grasp the key points of information, which can help them make better and wiser decisions. Innovation.

Visualization 75

Visualization Unstructured Data Sales Structured Data 75

datapine

AUGUST 14, 2019

Data science has become an extremely rewarding career choice for people interested in extracting, manipulating, and generating insights out of large volumes of data. To fully leverage the power of data science, scientists often need to obtain skills in databases, statistical programming tools, and data visualizations.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

Smart Data Collective

MAY 13, 2022

With the growth of business data, it is no longer surprising that AI has penetrated data analytics and business insight tools. Business insight and data analytics landscape. Artificial intelligence and allied technologies make business insight tools and data analytics software more efficient.

Business Analytics 141

Business Analytics Analytics Unstructured Data Data-driven 141

datapine

NOVEMBER 19, 2019

Exciting and futuristic, the concept of computer vision is based on computing devices or programs gaining the ability to extract detailed information from visual images. Visual analytics: Around three million images are uploaded to social media every single day. Artificial Intelligence (AI).

Technology 279

Technology Internet of Things IT IoT 279

DataKitchen

APRIL 13, 2021

DataOps needs a directed graph-based workflow that contains all the data access, integration, model and visualization steps in the data analytic production process. It orchestrates complex pipelines, toolchains, and tests across teams, locations, and data centers. Meta-Orchestration .

Testing 300

Testing Machine Learning Consulting Data Science 300

erwin

JANUARY 9, 2020

They also face increasing regulatory pressure because of global data regulations , such as the European Union’s General Data Protection Regulation (GDPR) and the new California Consumer Privacy Act (CCPA), that went into effect last week on Jan. So here’s why data modeling is so critical to data governance.

Data Governance 144

Data Governance Modeling Metadata Unstructured Data 144

DataRobot Blog

MAY 5, 2022

To date, however, enterprises’ vast troves of unstructured data – photo, video, text, and more – have remained mostly untapped. At DataRobot, we are acutely aware of the ability of diverse data to create vast improvements to our customers’ business. Today, managing unstructured data is an arduous task. Jared Bowns.

Unstructured Data 52

Unstructured Data Modeling Enterprise Machine Learning 52

AWS Big Data

FEBRUARY 29, 2024

However, enterprise data generated from siloed sources combined with the lack of a data integration strategy creates challenges for provisioning the data for generative AI applications. Data governance is a critical building block across all these approaches, and we see two emerging areas of focus.

Data Governance 122

Data Governance Unstructured Data Metadata Data Lake 122

DataRobot

NOVEMBER 9, 2021

DataRobot’s Visual AI models in autopilot built a model with an improved 1 percent better performance without any additional parameter tuning. Since the ease of adding unstructured data to tabular dataset and modeling is quite easy with DataRobot, the improvement in performance was achieved with minimal effort. Request a Demo.

Visualization 52

Visualization Unstructured Data Statistics Metrics 52

Smart Data Collective

SEPTEMBER 26, 2021

Data mining and knowledge go hand in hand, providing insightful information to create applications that can make predictions, identify patterns, and, last but not least, facilitate decision-making. Working with massive structured and unstructured data sets can turn out to be complicated. It’s much easier to work with graphs.

Metadata 130

Metadata Visualization Unstructured Data Data mining 130

Smart Data Collective

APRIL 5, 2022

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. A data visualization interface known as SPSS Modeler. Neptune.ai. You can easily integrate the hardware accelerator with other tools.

Machine Learning 145

Machine Learning Cost-Benefit Data Science Unstructured Data 145

CIO Business Intelligence

AUGUST 9, 2024

At Atlanta’s Hartsfield-Jackson International Airport, an IT pilot has led to a wholesale data journey destined to transform operations at the world’s busiest airport, fueled by machine learning and generative AI. He is a very visual person, so our proof of concept collects different data sets and ingests them into our Azure data house.

Data Transformation 126

Data Transformation Machine Learning Data Lake Dashboards 126

CIO Business Intelligence

APRIL 22, 2022

What is data science? Data science is a method for gleaning insights from structured and unstructured data using approaches ranging from statistical analysis to machine learning. Tableau: Now owned by Salesforce, Tableau is a data visualization tool.

Data Science 140

Data Science Statistics Machine Learning Visualization 140

CIO Business Intelligence

OCTOBER 13, 2023

Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations. In some ways, the data architect is an advanced data engineer.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

erwin

JANUARY 17, 2020

What is Data Modeling? Data modeling is a process that enables organizations to discover, design, visualize, standardize and deploy high-quality data assets through an intuitive, graphical interface. Data models provide visualization, create additional metadata and standardize data design across the enterprise.

Data-driven 138

Data-driven Modeling Metadata Data Governance 138

AWS Big Data

AUGUST 3, 2023

With the rapid growth of technology, more and more data volume is coming in many different formats—structured, semi-structured, and unstructured. Data analytics on operational data at near-real time is becoming a common need. Then we can query the data with Amazon Athena visualize it in Amazon QuickSight.

Data Lake 97

Data Lake Visualization Dashboards Insurance 97

AWS Big Data

FEBRUARY 26, 2025

The next generation of SageMaker also introduces new capabilities, including Amazon SageMaker Unified Studio (preview) , Amazon SageMaker Lakehouse , and Amazon SageMaker Data and AI Governance. This feature is now available in all the AWS commercial Regions where Amazon DataZone is supported.

Analytics 60

Analytics Data Lake Metadata Data Warehouse 60

Cloudera

NOVEMBER 10, 2020

HUE also comes with a simplistic form of pre-visualization of results and download result sets as csv files or pdfs, for local exploration or further insight sharing. It, therefore, makes sense to provide a seamless transition from the context of HUE to Cloudera’s new, built-in Data Visualization tool.

Visualization 112

Visualization Optimization Unstructured Data Dashboards 112

FineReport

JULY 1, 2021

BI technology is a series of technologies that can handle a large amount of structured and sometimes unstructured data. Their purpose is to help identify, develop and otherwise tap the value of big data and create opportunities for new strategic businesses. Data querying & discovery. Data visualization.

Business Intelligence 98

Business Intelligence Technology Data Warehouse Dashboards 98

Domino Data Lab

JANUARY 21, 2021

While these tools are extremely useful for creating polished, reusable, visual dashboards for presenting data-driven insights, they are far less flexible in their ability to produce the information required to form the basis of a predictive modeling task. Data visualization blog posts are a dime a dozen. ref: [link].

Statistics 106

Statistics Unstructured Data Data Science Visualization 106

bridgei2i

SEPTEMBER 23, 2020

She further explains how the traditional BI systems which offers data visualization and building data lakes of structured and unstructured data, compliant with KPIs and analytics infrastructure may not be adequate to handle the data explosion.

Enterprise 97

Enterprise Unstructured Data Data Lake Digital Transformation 97

BizAcuity

MARCH 29, 2019

Data lakes are centralized repositories that can store all structured and unstructured data at any desired scale. The power of the data lake lies in the fact that it often is a cost-effective way to store data. In the future of healthcare, data lake is a prominent component, growing across the enterprise.

Data Lake 102

Data Lake Unstructured Data Cost-Benefit Data Quality 102

CIO Business Intelligence

AUGUST 9, 2023

Unstructured data needs for generative AI Generative AI architecture and storage solutions are a textbook case of “what got you here won’t get you there.” In other words, storage platforms must be aligned with the realities of unstructured data and the emerging needs of generative AI. Learn more here.

Unstructured Data 98

Unstructured Data Modeling Data Architecture Enterprise 98

Cloudera

SEPTEMBER 17, 2020

By enabling their event analysts to monitor and analyze events in real time, as well as directly in their data visualization tool, and also rate and give feedback to the system interactively, they increased their data to insight productivity by a factor of 10. . Our solution: Cloudera Data Visualization.

Data Warehouse 81

Data Warehouse Experimentation Dashboards Visualization 81

CIO Business Intelligence

SEPTEMBER 14, 2023

They’re often responsible for building algorithms for accessing raw data, too, but to do this, they need to understand a company’s or client’s objectives, as aligning data strategies with business goals is important, especially when large and complex datasets and databases are involved.

Analytics 135

Analytics Data Science Unstructured Data Data mining 135

FineReport

OCTOBER 25, 2021

Similar to the instrument panel equipped in a car, it transforms obscure expertise into plain visualizations which are pleasing to both the eye and mind. What is Data Dashboard?–Definition. Undoubtedly, a data dashboard tool helps you answer a barrage of business-related questions in order to cater to your own strategies.

Dashboards 98

Dashboards KPI Visualization Key Performance Indicator 98

CIO Business Intelligence

AUGUST 9, 2022

Data engineers are often responsible for building algorithms for accessing raw data, but to do this, they need to understand a company’s or client’s objectives, as aligning data strategies with business goals is important, especially when large and complex datasets and databases are involved. Data engineer vs. data architect.

Analytics 131

Analytics Data Science Statistics Unstructured Data 131

Sisense

MAY 28, 2019

Two orthogonal approaches to data analytics have developed in this decade of BI: 1. Operating “in-data” to enable the direct query of unstructured data lakes, providing a visualization layer on top of them. Cloud Vendor Analytics Acquisition Creating a Cloud-Specific Local Ecosystem?.

Data Analytics 89

Data Analytics Data Lake Analytics Unstructured Data 89

FineReport

JULY 28, 2021

Business Intelligence describes the process of using modern data warehouse technology, data analysis and processing technology, data mining, and data display technology for visualizing, analyzing data, and delivering insightful information. Typical tools for BI: Power BI, Tableau, FineReport. Free Download.

Business Intelligence 98

Business Intelligence Data Science Data Analytics Analytics 98

CIO Business Intelligence

JUNE 14, 2023

Admittedly, it’s still pretty difficult to visualize this difference. How is it possible to manage the data lifecycle, especially for extremely large volumes of unstructured data? However, with the Cloudera Image Warehouse (CIW), it has become possible to sort and analyze large volumes of unstructured data.

Unstructured Data 64

Unstructured Data IT Manufacturing Visualization 64