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 81

Data Lake Visualization Dashboards Insurance 81

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. Data science gives the data collected by an organization a purpose. Data science vs. data analytics.

Data Science 139

Data Science Statistics Machine Learning Visualization 139

CIO Business Intelligence

NOVEMBER 28, 2023

With organizations seeking to become more data-driven with business decisions, IT leaders must devise data strategies gear toward creating value from data no matter where — or in what form — it resides. Unstructured data resources can be extremely valuable for gaining business insights and solving problems.

Unstructured Data 125

Unstructured Data Data-driven Visualization Data Quality 125

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 133

Analytics Data Science Unstructured Data Data mining 133

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

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 124

Analytics Data Science Statistics Unstructured Data 124

AWS Big Data

OCTOBER 25, 2023

Unstructured data is information that doesn’t conform to a predefined schema or isn’t organized according to a preset data model. Unstructured information may have a little or a lot of structure but in ways that are unexpected or inconsistent. Text, images, audio, and videos are common examples of unstructured data.

Unstructured Data 119

Unstructured Data Metadata Management Analytics 119

AWS Big Data

JANUARY 8, 2024

This is the first post to a blog series that offers common architectural patterns in building real-time data streaming infrastructures using Kinesis Data Streams for a wide range of use cases. In this post, we will review the common architectural patterns of two use cases: Time Series Data Analysis and Event Driven Microservices.

Analytics 113

Analytics IoT Data-driven Snapshot 113

CIO Business Intelligence

OCTOBER 3, 2023

Intelligent document processing: uses artificial intelligence and machine learning techniques to automate the processing of documents and unstructured data. Skill gap: hyperautomation requires a diverse skill set that includes process analysis, data analytics, AI, RPA and more.

Cost-Benefit 112

Cost-Benefit Machine Learning Interactive Software 112

BizAcuity

OCTOBER 21, 2019

Over the decade’s Hospitality Industry wings expand to the new horizon due to the widespread usage of mobiles which allows customers to plan the vacation & visualize the ambiance at their fingertips. Text analytics helps to draw the insights from the unstructured data. .

Analytics 73

Analytics Unstructured Data Data mining Structured Data 73

AWS Big Data

AUGUST 15, 2023

As customers accelerate their migrations to the cloud and transform their businesses, some find themselves in situations where they have to manage data analytics in a multi-cloud environment, such as acquiring a company that runs on a different cloud provider.

Recreation/Entertainment 88

Recreation/Entertainment Unstructured Data Business Intelligence Data-driven 88

IBM Big Data Hub

FEBRUARY 14, 2024

Creative AI use cases Create with generative AI Generative AI tools such as ChatGPT, Bard and DeepAI rely on limited memory AI capabilities to predict the next word, phrase or visual element within the content it’s generating. Generative AI can produce high-quality text, images and other content based on the data used for training.

Cost-Benefit 82

Cost-Benefit Insurance Unstructured Data Machine Learning 82

Ontotext

DECEMBER 16, 2020

This insightful post explains why knowledge graphs and Ontotext Platform make implementing a data fabric approach to enterprise knowledge management easier by providing context via metadata and breaking up data silos. The post sums up the COVID-19-related projects that use GraphDB for data management and visualization.

Metadata 52

Metadata Unstructured Data Visualization Enterprise 52

BizAcuity

OCTOBER 21, 2019

Over the decade’s Hospitality Industry wings expand to the new horizon due to the widespread usage of mobiles which allows customers to plan the vacation & visualize the ambiance at their fingertips. Text analytics helps to draw the insights from the unstructured data. DECODING ONLINE REVIEWS THROUGH ANALYTICS.

Analytics 40

Analytics Unstructured Data Data mining Structured Data 40

datapine

NOVEMBER 19, 2019

Interesting Read: THE DIFFERENT STAGES IN DATA ANALYTICS, AND WHERE DO YOU FIT IT IN AI AND ML ACTIVITIES? Collaborative software helps in institutionalizing structured as well as unstructured data to facilitate the sharing of insights, thoughts, information, and practices. EXPERT OPINION]. Website Link: [link] .

Business Intelligence 146

Business Intelligence Knowledge Discovery Dashboards Unstructured Data 146

IBM Big Data Hub

JULY 6, 2023

It uses advanced tools to look at raw data, gather a data set, process it, and develop insights to create meaning. Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming. appeared first on IBM Blog.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

Sisense

JANUARY 22, 2021

Actionable insights have a special connotation in the field of data analytics: An algorithm evaluates a vast data store and effectively advises a human agent on the best action to take. On the fundamental level, preparing data for analysis is often called wrangling.

Machine Learning 52

Machine Learning Unstructured Data Forecasting Advertising 52

AWS Big Data

MARCH 25, 2024

This data store provides your organization with the holistic customer records view that is needed for operational efficiency of RAG-based generative AI applications. For building such a data store, an unstructured data store would be best. This is typically unstructured data and is updated in a non-incremental fashion.

Data Lake 90

Data Lake Unstructured Data Management Modeling 90

Sisense

MARCH 14, 2021

However, when investigating big data from the perspective of computer science research, we happily discover much clearer use of this cluster of confusing concepts. As we move from right to left in the diagram, from big data to BI, we notice that unstructured data transforms into structured data.

Big Data 52

Big Data IoT Data Warehouse Data-driven 52

CIO Business Intelligence

SEPTEMBER 2, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work.

Finance 98

Finance IT Software Reporting 98

CIO Business Intelligence

AUGUST 31, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work.

Finance 98

Finance IT Software Reporting 98

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

IBM Big Data Hub

DECEMBER 16, 2022

In other words, a data catalog makes the use of data for insights generation far more efficient across the organization, while helping mitigate risks of regulatory violations. Because Alex can use a data catalog to search all data assets across the company, she has access to the most relevant and up-to-date information.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

AWS Big Data

MARCH 2, 2023

Many organizations are building data lakes to store and analyze large volumes of structured, semi-structured, and unstructured data. In addition, many teams are moving towards a data mesh architecture, which requires them to expose their data sets as easily consumable data products.

Data Lake 76

Data Lake Testing Interactive Unstructured Data 76

Analytics Vidhya

FEBRUARY 23, 2020

Overview What is sports analytics? What are the different use cases of sports analytics? We answer these questions here Understand how sports analytics can. The post Sports Analytics – Generating Actionable Insights using Cricket Commentary appeared first on Analytics Vidhya.

Analytics 325

Analytics Unstructured Data Visualization Data Analytics 325

Sisense

MAY 28, 2019

2019 can best be described as an era of modern cloud data analytics. Convergence in an industry like data analytics can take many forms. We have seen industry rollups in which firms create a collection of analytical tools under one brand. Realizing a Flexible, Multi-Cloud, Open-Platform, Data Hub-Driven Future.

Data Analytics 89

Data Analytics Data Lake Analytics Unstructured Data 89

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

datapine

NOVEMBER 19, 2019

Interesting Read: THE DIFFERENT STAGES IN DATA ANALYTICS, AND WHERE DO YOU FIT IT IN AI AND ML ACTIVITIES? Collaborative software helps in institutionalizing structured as well as unstructured data to facilitate the sharing of insights, thoughts, information, and practices. EXPERT OPINION]. Website Link: [link] .

Business Intelligence 20

Business Intelligence Knowledge Discovery Unstructured Data Software 20

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. Locke Data — Data science services.

Testing 300

Testing Machine Learning Consulting Data Quality 300

FineReport

JUNE 24, 2021

All BI software capabilities, functionalities, and features focus on data. Data preparation and data processing. Initially, data has to be collected. Then, once it has turned the raw, unstructured data into a structured data set, it can analyze that data. Data visualization analysis.

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

CIO Business Intelligence

JUNE 29, 2022

And as businesses contend with increasingly large amounts of data, the cloud is fast becoming the logical place where analytics work gets done. For many enterprises, Microsoft Azure has become a central hub for analytics. Azure Data Explorer. You don’t need to know how to write SQL and to import data or to query.

Data Lake 113

Data Lake Analytics Data Warehouse Machine Learning 113

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 98

Metadata Visualization Unstructured Data Data mining 98

FineReport

DECEMBER 27, 2021

Dashboards and visualizations are the primary user interfaces of many tools and platforms. Namely, integrating data analytics, dashboards, and reporting functions into an organization’s existing software applications. BI architecture frequently includes structured and unstructured data. Enterprise BI tools.

Enterprise 59

Enterprise Dashboards Business Intelligence Visualization 59

Cloudera

AUGUST 20, 2021

Legal and Regulatory Requirements: CDP delivers data products to address complex and continuously evolving legal and regulatory requirements by offering a programmatic way to dynamically manage data permissions at a granular level by type of data asset and for different roles / users interacting with and manipulating those data assets. .

Strategy 98

Strategy Cost-Benefit Visualization Data Warehouse 98

Ontotext

FEBRUARY 26, 2024

Further, RED’s underlying model can be visually extended and customized to complex extraction and classification tasks. RED’s focus on news content serves a pivotal function: identifying, extracting, and structuring data on events, parties involved, and subsequent impacts. Here’s how our tool makes it work.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

BizAcuity

MAY 10, 2022

Microsoft also releases Power BI, a data visualization and business intelligence tool. Businesses find the need to manage unstructured data efficiently as a major business problem. Data lakes or data lake houses alone cannot solve the efficiency problem. He puts forth a mobile-first, cloud-first strategy.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

Sisense

DECEMBER 12, 2019

Your data is a gold mine and you’re barely scratching the surface of its value! Here’s the crux of the problem: businesses have become masters at collecting data but are failing to invest in a business intelligence and data analytics solution to derive value from that data. Those days are over.

Business Intelligence 88

Business Intelligence Software Data-driven Visualization 88