Analytics Vidhya

JULY 30, 2022

This article was published as a part of the Data Science Blogathon. Introduction The structured data we generally deal with gets stored in a tabular format in relational databases. And stored data in these databases can be accessed by a query language called “sequel” or SQL. And it is a powerful language.

Data Science 294

Data Science Structured Data Analytics Publishing 294

Analytics Vidhya

SEPTEMBER 18, 2022

This article was published as a part of the Data Science Blogathon. Introduction Apache SQOOP is a tool designed to aid in the large-scale export and import of data into HDFS from structured data repositories. Relational databases, enterprise data warehouses, and NoSQL systems are all examples of data storage.

Data Warehouse 246

Data Warehouse Data Science Structured Data Enterprise 246

Analytics Vidhya

MAY 19, 2022

This article was published as a part of the Data Science Blogathon. Introduction on Apache HBase With the constant increment of structured data, it is getting difficult to efficiently store and process the petabytes of data. To provide a massive amount […].

Data Science 261

Data Science Structured Data Big Data Analytics 261

Analytics Vidhya

JUNE 29, 2022

This article was published as a part of the Data Science Blogathon. Hive, founded by Facebook and later Apache, is a data storage system created for the purpose of analyzing structured data. Operating under an open-source data platform called Hadoop, Apache Hive is a software application released in 2010 (October).

Data Science 246

Data Science Structured Data IT Analytics 246

David Menninger's Analyst Perspectives

SEPTEMBER 23, 2021

Sisu Data is an analytics platform for structured data that uses machine learning and statistical analysis to automatically monitor changes in data sets and surface explanations. It can prioritize facts based on their impact and provide a detailed, interpretable context to refine and support conclusions.

Analytics 305

Analytics Key Performance Indicator Optimization Machine Learning 305

David Menninger's Analyst Perspectives

SEPTEMBER 23, 2021

Sisu Data is an analytics platform for structured data that uses machine learning and statistical analysis to automatically monitor changes in data sets and surface explanations. It can prioritize facts based on their impact and provide a detailed, interpretable context to refine and support conclusions.

Machine Learning 235

Machine Learning Analytics Key Performance Indicator Optimization 235

KDnuggets

JULY 1, 2023

Building a datalake for semi-structured data or json has always been challenging. Imagine if the json documents are streaming or continuously flowing from healthcare vendors then we need a robust modern architecture that can deal with such a high volume.

Analytics 89

Analytics Structured Data IT 89

erwin

AUGUST 31, 2023

Let’s explore the continued relevance of data modeling and its journey through history, challenges faced, adaptations made, and its pivotal role in the new age of data platforms, AI, and democratized data access. Embracing the future In the dynamic world of data, data modeling remains an indispensable tool.

Data-driven 98

Data-driven Modeling Enterprise Structured Data 98

Data Virtualization

AUGUST 24, 2023

Reading Time: 5 minutes The data landscape has become more complex, as organizations recognize the need to leverage data and analytics for a competitive edge. Companies are collecting traditional structured data as well as text, machine-generated data, semistructured data, geospatial data, and more.

Structured Data 52

Structured Data Data Integration Analytics Management 52

Data Virtualization

AUGUST 24, 2023

Reading Time: 5 minutes The data landscape has become more complex, as organizations recognize the need to leverage data and analytics for a competitive edge. Companies are collecting traditional structured data as well as text, machine-generated data, semistructured data, geospatial data, and more.

Structured Data 52

Structured Data Data Integration Analytics Management 52

Smart Data Collective

AUGUST 28, 2021

Data Warehouses and Data Lakes in a Nutshell. A data warehouse is used as a central storage space for large amounts of structured data coming from various sources. On the other hand, data lakes are flexible storages used to store unstructured, semi-structured, or structured raw data.

Data Lake 136

Data Lake Data Warehouse Unstructured Data Structured Data 136

Smarten

AUGUST 23, 2023

If you are looking for ways to get started on your AI journey and take advantage of the current capabilities of this technology, here are a few ideas to get you started with AI: Unstructured Data : – Use artificial intelligence and GPT to summarize PDFs, HTML and other unstructured documents and data.

Unstructured Data 52

Unstructured Data Structured Data Digital Transformation Consulting 52

O'Reilly on Data

NOVEMBER 21, 2018

The proliferation of models is still a theoretical consideration for many data science teams, but Gordon and his colleagues at Salesforce already support hundreds of thousands of customers who need custom models built on custom data. Continue reading Building tools for enterprise data science.

Data Science 257

Data Science Enterprise Machine Learning Structured Data 257

CIO Business Intelligence

MARCH 21, 2022

The data that data scientists analyze draws from many sources, including structured, unstructured, or semi-structured data. The more high-quality data available to data scientists, the more parameters they can include in a given model, and the more data they will have on hand for training their models.

Data Analytics 133

Data Analytics Analytics Unstructured Data Data Science 133

Ontotext

JULY 24, 2023

Start with Structured Data The ideal way to experiment with LLM functionality is to focus on structured data at the start. Cleaning, refining, and aligning your data to shared meaning is the right strategic approach.

Modeling 98

Modeling Management Data Architecture Structured Data 98

Ontotext

DECEMBER 15, 2022

Connecting the dots of data of all types. To begin with, Fantastic Finserv has to handle a wide variety of data. This includes traditional structured data such as: Reference data – the data used to relate data to information outside of the organization.

Metadata 52

Metadata Unstructured Data Structured Data Enterprise 52

Sisense

APRIL 26, 2020

Structured vs unstructured data. Structured data is far easier for programs to understand, while unstructured data poses a greater challenge. However, both types of data play an important role in data analysis. Structured data. Structured data is organized in tabular format (ie.

Unstructured Data 52

Unstructured Data Data Warehouse Structured Data Data mining 52

CIO Business Intelligence

JULY 28, 2023

To date, JLL has been developing classic AI models using cleaned and structured data in table format, Morin says. Currently, the company’s IT experts train algorithms to extract the most structured data on its leases; this data is then fed into the AI model.

Data-driven 83

Data-driven Structured Data Modeling Software 83

O'Reilly on Data

OCTOBER 17, 2019

Watch “ Building and deploying AI applications and systems at scale “ The quest for high-quality data. Ihab Ilyas describes the HoloClean framework, a prediction engine for structured data with direct applications in detecting and repairing data errors.

Machine Learning 145

Machine Learning Structured Data 145

IBM Big Data Hub

APRIL 25, 2023

Similarly, the relational database has been the foundation for data warehousing for as long as data warehousing has been around. Relational databases were adapted to accommodate the demands of new workloads, such as the data engineering tasks associated with structured and semi-structured data, and for building machine learning models.

Optimization 54

Optimization Data Warehouse Strategy Data-driven 54

Smart Data Collective

SEPTEMBER 23, 2020

We talked about enterprise data warehouses in the past, so let’s contrast them with data lakes. Both data warehouses and data lakes are used when storing big data. Many people are confused about these two, but the only similarity between them is the high-level principle of data storing.

Data Lake 105

Data Lake Data Warehouse Unstructured Data Big Data 105

Ontotext

JULY 20, 2023

For those unstructured information sources, we will use Large Language Models in the future to extract the information according to the ontology and structured data to the knowledge graph. When we need this data for a conversation we can use it directly with the Large Language Model.

Manufacturing 52

Manufacturing Unstructured Data Data-driven Structured Data 52

CDW Research Hub

JANUARY 20, 2022

Snowflake is the data cloud that boasts instant elasticity, secure data sharing, and per-second pricing across multiple clouds. Its ability to natively load and use SQL to query semi-structured and structured data within a single system simplifies your data engineering.

Structured Data 89

Structured Data Data Strategy Consulting Strategy 89

Cloudera

NOVEMBER 15, 2021

In terms of representation, data can be broadly classified into two types: structured and unstructured. Structured data can be defined as data that can be stored in relational databases, and unstructured data as everything else.

Unstructured Data 94

Unstructured Data Structured Data Modeling Data Quality 94

KDnuggets

DECEMBER 6, 2019

Learn how pharma and healthcare organizations are using the power of Natural Language Processing (NLP) to transform unstructured text into actionable structured data.

Digital Transformation 54

Digital Transformation Structured Data 54

CDW Research Hub

JANUARY 21, 2022

Snowflake is the data cloud that boasts instant elasticity, secure data sharing, and per-second pricing across multiple clouds. Its ability to natively load and use SQL to query semi-structured and structured data within a single system simplifies your data engineering.

Structured Data 81

Structured Data Data Strategy Analytics Consulting 81

Ontotext

MAY 25, 2023

For example, knowledge graphs can be used to provide structured data to train LLM, and LLM can be used to extract information from unstructured data sources such as text and images, which can then be incorporated into knowledge graphs. Knowledge graphs will continue to be essential for AI in the era of ChatGPT and LLM.

Machine Learning 52

Machine Learning Unstructured Data Enterprise Structured Data 52

CIO Business Intelligence

MARCH 9, 2022

As a result, users can easily find what they need, and organizations avoid the operational and cost burdens of storing unneeded or duplicate data copies. Newer data lakes are highly scalable and can ingest structured and semi-structured data along with unstructured data like text, images, video, and audio.

Data Lake 102

Data Lake Unstructured Data Data Warehouse Data Analytics 102

CIO Business Intelligence

MAY 24, 2022

Its highly scalable, real-time streaming analytics engine that ingests, curates, and analyses data for key insights and immediate actionable intelligence. CDP has a real-time, scalable database that creates a unified platform embracing traditional structured data, unstructured and semi-structured data.

Enterprise 87

Enterprise Data-driven Structured Data Analytics 87

CDW Research Hub

JANUARY 24, 2022

Snowflake is the data cloud that boasts instant elasticity, secure data sharing, and per-second pricing across multiple clouds. Its ability to natively load and use SQL to query semi-structured and structured data within a single system simplifies your data engineering.

Structured Data 87

Structured Data Data Strategy Analytics Optimization 87

CIO Business Intelligence

SEPTEMBER 20, 2023

So much of that is hidden away in the chat history, not all the rows and columns of structured data. Did we solve the problem? How many times did they have to call? And why did we not see this sooner? You don’t have to teach models anymore that loan and mortgage can be used interchangeably in some contexts.

Unstructured Data 103

Unstructured Data Insurance Modeling Cost-Benefit 103

Smart Data Collective

SEPTEMBER 16, 2022

Fintech in particular is being heavily affected by big data. The financial sector receives, processes, and generates huge amounts of data every second. Among them are distinguished: Structured data. Unstructured data.

Unstructured Data 106

Unstructured Data Big Data Finance Cost-Benefit 106

BizAcuity

OCTOBER 21, 2019

– into structured data to develop actionable managerial insights to enhance their operations. . . Text mining usually involves the process of structuring the input text, deriving patterns within the structured data, and finally evaluation and interpretation of the output. .

Analytics 73

Analytics Unstructured Data Structured Data Predictive Analytics 73

Alation

JULY 13, 2021

Accompanying this acceleration is the increasing complexity of data. Many organizations continue to handle structured data, transactional data, and log data. Complex data management is on the rise.

Strategy 52

Strategy Structured Data Data Governance Data Warehouse 52

IBM Big Data Hub

APRIL 26, 2023

Switching to IBM Business Analytics gave Jabil the ability to gather and structure data in a centralized approach for management. The portfolio contributes to the efficient management of their incredibly complex supply chain. The integrated solution plays a role in reporting, analysis, planning and forecasting.

Business Analytics 81

Business Analytics Analytics Reporting Digital Transformation 81

Rocket-Powered Data Science

JULY 19, 2023

The results showed that (among those surveyed) approximately 90% of enterprise analytics applications are being built on tabular data. The ease with which such structured data can be stored, understood, indexed, searched, accessed, and incorporated into business models could explain this high percentage.

Data-driven 186

Data-driven Analytics Enterprise Machine Learning 186

IBM Big Data Hub

APRIL 18, 2023

ISO 20022 data improves payment efficiency The impact of ISO 20022 on payment systems data is significant, as it allows for more detailed information in payment messages.

Data-driven 112

Data-driven Analytics Risk Management Risk 112