Analytics Vidhya

AUGUST 26, 2021

This article was published as a part of the Data Science Blogathon From our previous article, we have learned about how to blur an image using a kernel, and we have also learned exactly what a kernel is- It simply refers to the matrix involved in the image manipulation process. For the task of blurring an […].

Data Science 320

Data Science Publishing Analytics Unstructured Data 320

AWS Big Data

MARCH 25, 2024

To learn more about RAG, refer to Question answering using Retrieval Augmented Generation with foundation models in Amazon SageMaker JumpStart. A RAG-based generative AI application can only produce generic responses based on its training data and the relevant documents in the knowledge base.

Data Lake 92

Data Lake Unstructured Data Management Modeling 92

AWS Big Data

AUGUST 15, 2023

We deploy a Lambda function data source connector to connect AWS with Google Cloud Provider. We reference the secret in Secrets Manager in the Lambda function so we can run a query on AWS and it can access the data stored on Google Cloud Provider. For complete steps, refer to Creating a VPC for a data source connector.

Recreation/Entertainment 90

Recreation/Entertainment Unstructured Data Business Intelligence Data-driven 90

CIO Business Intelligence

NOVEMBER 1, 2023

It’s published two new resources for using BTP — a guidance framework with methodologies and reference architectures, and a developers’ guide including building blocks and step-by-step guides — and released an open-source SDK for building extensions on BTP. This helps put things close together if they are similar.”

Enterprise 132

Enterprise Cost-Benefit Unstructured Data Software 132

Smart Data Collective

SEPTEMBER 27, 2023

An Overview of Big Data and Artificial Intelligence Big data refers to an immense volume of structured and unstructured data , revolutionizing industries with its power to provide actionable insights.

Big Data 104

Big Data Unstructured Data Predictive Analytics Risk 104

CIO Business Intelligence

OCTOBER 13, 2023

Established and emerging data technologies: Data architects need to understand established data management and reporting technologies, and have some knowledge of columnar and NoSQL databases, predictive analytics, data visualization, and unstructured data.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

CIO Business Intelligence

APRIL 25, 2024

Zero-copy integration eliminates the need for manual data movement, preserving data lineage and enabling centralized control fat the data source. Currently, Data Cloud leverages live SQL queries to access data from external data platforms via zero copy. Ground generative AI.

Data Integration 119

Data Integration Data Lake Metadata Data Warehouse 119

Analytics Vidhya

OCTOBER 27, 2020

Introduction Virtual reality refers to a simulation generated by a computer which allows user interaction with the use of special headsets. In simple words, The post Virtual Reality for the Web: A-Frame(Creating 3D models from Images) appeared first on Analytics Vidhya.

Modeling 269

Modeling Interactive Analytics Unstructured Data 269

Analytics Vidhya

AUGUST 28, 2021

The post Pratically Demistifying BERT Language Representation Model appeared first on Analytics Vidhya.

Modeling 307

Modeling Data Science Publishing Analytics 307

CIO Business Intelligence

AUGUST 11, 2023

While the term originally referred to a system’s ability to read, it’s since become a colloquialism for all computational linguistics. Natural language processing definition Natural language processing (NLP) is the branch of artificial intelligence (AI) that deals with training computers to understand, process, and generate language.

Unstructured Data 142

Unstructured Data Modeling Machine Learning Data mining 142

Smart Data Collective

NOVEMBER 20, 2022

You’ll learn what big data is, how it can affect your marketing and sales strategy, and more. What Is Big Data? Big data refers to an extremely large volume of data sets, including structured and unstructured data from several sources. Keep reading.

Big Data 134

Big Data Sales Marketing B2B 134

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 121

Unstructured Data Metadata Management Analytics 121

IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. And you should have experience working with big data platforms such as Hadoop or Apache Spark.

Data Science 80

Data Science Data Analytics Prescriptive Analytics Analytics 80

IBM Big Data Hub

APRIL 18, 2023

” Pioneering use of unstructured text data For over a decade, IBM has been gathering insight from unstructured data (such as that used in large language models) to provide real-time insight to its sports and entertainment clients and to enhance predictive analysis.

Recreation/Entertainment 75

Recreation/Entertainment Broadcasting Unstructured Data Consulting 75

AWS Big Data

MARCH 7, 2024

You can take all your data from various silos, aggregate that data in your data lake, and perform analytics and machine learning (ML) directly on top of that data. You can also store other data in purpose-built data stores to analyze and get fast insights from both structured and unstructured data.

Data Lake 115

Data Lake Analytics Dashboards Metrics 115

erwin

AUGUST 15, 2022

For NoSQL, data lakes, and data lake houses—data modeling of both structured and unstructured data is somewhat novel and thorny. This blog is an introduction to some advanced NoSQL and data lake database design techniques (while avoiding common pitfalls) is noteworthy. Flexible data structures (i.e.

Data Lake 52

Data Lake Modeling Unstructured Data Data Warehouse 52

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. What is Data Science? What is Data Analytics?

Business Intelligence 98

Business Intelligence Data Science Data Analytics Analytics 98

Smart Data Collective

SEPTEMBER 26, 2019

In this article, we are going to look at how software development can leverage on Big Data. We will also briefly have a sneak preview of the connection between AI and Big Data. Software development simply refers to a set of computer science-related activities purely dedicated to building, designing, and deploying software.

Big Data 80

Big Data Software Unstructured Data Data Integration 80

AWS Big Data

JANUARY 8, 2024

For security, Kinesis Data Streams provide server-side encryption so you can meet strict data management requirements by encrypting your data at rest and Amazon Virtual Private Cloud (VPC) interface endpoints to keep traffic between your Amazon VPC and Kinesis Data Streams private.

Analytics 115

Analytics IoT Data-driven Snapshot 115

IBM Big Data Hub

DECEMBER 19, 2023

Because these techniques are making assumptions about the data being input, it is possible for them to incorrectly label anomalies. “Means,” or average data, refers to the points in the center of the cluster that all other data is related to.

Machine Learning 68

Machine Learning Optimization Unstructured Data Sales 68

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. Numbers are only good if the data quality is good. Data Lake is turning the tables in Healthcare.

Data Lake 102

Data Lake Unstructured Data Cost-Benefit Data Quality 102

Jet Global

NOVEMBER 5, 2020

That stands for “bring your own database,” and it refers to a model in which core ERP data are replicated to a separate standalone database used exclusively for reporting. Data lakes are not a mature technology. They are designed for enormous volumes of information, including semi-structured and unstructured data.

Data Lake 98

Data Lake OLAP Data Warehouse Unstructured Data 98

BizAcuity

OCTOBER 21, 2019

Text analytics helps to draw the insights from the unstructured data. . Text Analytics – is a process of turning unstructured text – available in the form of tweets, comments, reviews, etc. – into structured data to develop actionable managerial insights to enhance their operations. . .

Analytics 73

Analytics Unstructured Data Data mining Structured Data 73

CIO Business Intelligence

MARCH 7, 2023

Other areas ripe for enterprise applications, says Curran, include generating marketing copy, images, designs, and creating better summaries of existing data so people can consume it more effectively. Some people are even using these large language models as a way to clean unstructured data,” he says.

Enterprise 116

Enterprise IT Experimentation Unstructured Data 116

Jet Global

OCTOBER 30, 2020

That means many of the reporting tools that customers previously used to access Microsoft Dynamics AX data will no longer work with D365 F&SCM. We refer to the first as “data entities.” You can think of data entities as a kind of translation layer or gatekeeper. What are unstructured data?

Data Lake 52

Data Lake Unstructured Data Reporting Finance 52

AWS Big Data

JULY 19, 2023

We’ve seen that there is a demand to design applications that enable data to be portable across cloud environments and give you the ability to derive insights from one or more data sources. With this connector, you can bring the data from Google Cloud Storage to Amazon S3. A Secrets Manager secret to store a Google Cloud secret.

Big Data 85

Big Data Software Consulting Unstructured Data 85

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. YOUR-REGION}.amazonaws.com/{STAGE}

Data Lake 79

Data Lake Testing Interactive Unstructured Data 79

FineReport

OCTOBER 25, 2021

As it transforms your business into data-driven one, data could thus exploit their intrinsic value to the fullest by visualizations. I am sure no staff is willing to endure colossal, unstructured data processing as it is time-consuming and boring. KPI Data Dashboard. Marketing Dashboard (made by FineReport).

Dashboards 98

Dashboards KPI Visualization Key Performance Indicator 98

AWS Big Data

OCTOBER 20, 2023

We’ve seen a demand to design applications that enable data to be portable across cloud environments and give you the ability to derive insights from one or more data sources. With these connectors, you can bring the data from Azure Blob Storage and Azure Data Lake Storage separately to Amazon S3. Learn more in README.

Data Lake 87

Data Lake Big Data Consulting Data Warehouse 87

Smart Data Collective

NOVEMBER 20, 2022

Employee turnover refers to the number of employees who have quit the company over a certain period. Improves data management and productivity. Cloud technology can store copious amounts of structured or unstructured data and has no limit. 5 ways cloud technology can improve business communication.

Technology 118

Technology Unstructured Data Strategy Cost-Benefit 118

Cloudera

DECEMBER 3, 2020

The data being captured in forms of structured and unstructured data can unlock new insights. Leveraging CDP, the cloud can store the structured and unstructured data, and allow new types of data, processes, and models based on real-time analytics to be spun up and scaled faster than ever before.

Insurance 53

Insurance Unstructured Data Manufacturing Data-driven 53

CDW Research Hub

MAY 24, 2021

It encompasses other components, including data security that focuses primarily on protecting unstructured data in storage from unauthorized access, use, loss or modification. Information security (InfoSec) is a broader practice that encompasses all information flows from end-to-end.

Risk Management 52

Risk Management Risk Unstructured Data Business Objectives 52

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. Let us enter the topic and define what BI technology is.

Business Intelligence 98

Business Intelligence Technology Data Warehouse Dashboards 98

Ontotext

MAY 25, 2023

The Master class that Peio delivered covered Reconciliation, Text Analytics and Virtualization with Knowledge Graphs, using GraphDB and Text Analysis services tailored explicitly for tasks demanding intricate domain knowledge and linking documents to reference or master data.

Machine Learning 52

Machine Learning Structured Data Unstructured Data Predictive Modeling 52

Ontotext

AUGUST 7, 2019

More importantly, it’s difficult to uncover the relationships between diseases and drugs, biomarkers and treatment, drug efficacy and side effects, which are buried in the huge volumes of structured proprietary and public datasets as well as the unstructured data coming from scientific journals. The Solution to the Data Challenge.

Unstructured Data 72

Unstructured Data Publishing Machine Learning Big Data 72

Ontotext

JANUARY 29, 2024

LLMs can optimize several tasks, such as updating taxonomies, classifying entities, and extracting new properties and relationships from unstructured data.

Strategy 52

Strategy Management Metadata Data-driven 52

Ontotext

JANUARY 6, 2021

Having a formal definition that is both machine and human readable of enterprise-level models describing important and shared concepts across all business departments and reach agreement on common meta-data, reference and master data entities has an enormous value.

Metadata 59

Metadata Unstructured Data Cost-Benefit Enterprise 59