Cloudera

MARCH 17, 2023

I love the enthusiasm surrounding ChatGPT and the eagerness to learn about modern data architectures such as data lakehouses, data meshes, and data fabrics. ChatGPT is an excellent resource for gaining high-level insights and building awareness of any technology.

Unstructured Data 62

Unstructured Data Data Lake Data Warehouse Machine Learning 62

Smart Data Collective

AUGUST 28, 2021

In other words, data warehouses store historical data that has been pre-processed to fit a relational schema. Data lakes are much more flexible as they can store raw data, including metadata, and schemas need to be applied only when extracting data. Target User Group.

Data Lake 140

Data Lake Data Warehouse Unstructured Data Structured Data 140

CIO Business Intelligence

DECEMBER 4, 2023

Although less complex than the “4 Vs” of big data (velocity, veracity, volume, and variety), orienting to the variety and volume of a challenging puzzle is similar to what CIOs face with information management. Beyond “records,” organizations can digitally capture anything and apply metadata for context and searchability.

Unstructured Data 52

Unstructured Data Data Lake Metadata Business Objectives 52

Ontotext

DECEMBER 1, 2023

It enriched their understanding of the full spectrum of knowledge graph business applications and the technology partner ecosystem needed to turn data into a competitive advantage. Content and data management solutions based on knowledge graphs are becoming increasingly important across enterprises.

Metadata 78

Metadata Sales Consulting Enterprise 78

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 118

Unstructured Data Metadata Management Analytics 118

Cloudera

JUNE 7, 2022

In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB. The future is hybrid data, embrace it.

IT 110

IT Data Architecture Unstructured Data Big Data 110

Ontotext

MARCH 23, 2023

The formal semantics of the RDF standards stack allows data and metadata of different types to be represented in a knowledge graph in such a way that they can be analyzed and interpreted together, without ambiguity, clashes or loss of information. It can extract information from unstructured data.

Management 52

Management Metadata Unstructured Data Data Integration 52

Smart Data Collective

APRIL 5, 2022

Amazon SageMaker is a hardware accelerator platform that uses cloud-based machine learning technology. IBM Watson Studio is a very popular solution for handling machine learning and data science tasks. Companies working on AI technology can use it to improve scalability and optimize the decision-making process. Neptune.ai.

Cost-Benefit 123

Cost-Benefit Machine Learning Data Science Unstructured Data 123

Ontotext

MAY 22, 2023

The rich semantics built into our knowledge graph allow you to gain new insights, detect patterns and identify relationships that other data management techniques can’t deliver. Plus, because knowledge graphs can combine data from various sources, including structured and unstructured data, you get a more holistic view of the data.

Management 59

Management Unstructured Data Metadata Cost-Benefit 59

Ontotext

JANUARY 6, 2021

That means removing errors, filling in missing information and harmonizing the various data sources so that there is consistency. Once that is done, data can be transformed and enriched with metadata to facilitate analysis. Knowledge graphs help with data analysis in a number of ways.

Metadata 59

Metadata Unstructured Data Cost-Benefit Enterprise 59

CIO Business Intelligence

JUNE 23, 2022

In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB. But this is not your grandfather’s big data.

IT 93

IT Data Architecture Unstructured Data Big Data 93

IBM Big Data Hub

DECEMBER 16, 2022

An enterprise data catalog does all that a library inventory system does – namely streamlining data discovery and access across data sources – and a lot more. For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

IBM Big Data Hub

JANUARY 5, 2023

Both approaches were typically monolithic and centralized architectures organized around mechanical functions of data ingestion, processing, cleansing, aggregation, and serving. Monitor and identify data quality issues closer to the source to mitigate the potential impact on downstream processes or workloads.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

Ontotext

NOVEMBER 22, 2020

Knowledge graphs have been proven to be a powerful, scalable and intelligent technology for solving today’s complex business needs. Data and content are organized in a way that facilitates discoverability, insights and decision making rather than be bound by limitations of data formats and legacy systems.

Metadata 72

Metadata Cost-Benefit Unstructured Data Technology 72

Ontotext

FEBRUARY 26, 2024

From a technological perspective, RED combines a sophisticated knowledge graph with large language models (LLM) for improved natural language processing (NLP), data integration, search and information discovery, built on top of the metaphactory platform. RED answers key questions such as: “What happened?”, “Who was involved?”,

Data-driven 59

Data-driven Risk Modeling Risk Management 59

Ontotext

DECEMBER 16, 2021

A critical component of knowledge graphs’ effectiveness in this field is their ability to introduce structure to unstructured data. Many rich sources of information in the medical world are written documents with poor quality metadata. As a result, companies are better able to generate value from past research.

Metadata 98

Metadata Reporting Unstructured Data Risk 98

Octopai

JUNE 24, 2019

“Data governance” is data management policy that ensures the integrity, availability, and efficiency of data within a company. This policy includes specialists, processes, and technology used to manage data. Document classification and lifecycle management will help you deal with oversight of unstructured data.

Data Governance 42

Data Governance Metadata Unstructured Data Software 42

Ontotext

MARCH 18, 2020

According to an article in Harvard Business Review , cross-industry studies show that, on average, big enterprises actively use less than half of their structured data and sometimes about 1% of their unstructured data. Finally, they combine classical technologies like data governance and data management with modern analytics.

Enterprise 59

Enterprise B2B Unstructured Data Machine Learning 59

Alation

JUNE 2, 2022

A data catalog is a central hub for XAI and understanding data and related models. Other Technologies. While “operational exhaust” arrived primarily as structured data, today’s corpus of data can include so-called unstructured data. Machine Learning Technology. The challenge? Conclusion.

Modeling 52

Modeling Data Governance Statistics Unstructured Data 52

IBM Big Data Hub

FEBRUARY 14, 2024

McDonald’s is building AI solutions for customer care with IBM Watson AI technology and NLP to accelerate the development of its automated order taking (AOT) technology. These systems can evaluate vast amounts of data to uncover trends and patterns, and to make decisions.

Cost-Benefit 90

Cost-Benefit Insurance Unstructured Data Machine Learning 90

AWS Big Data

JUNE 9, 2023

Despite these capabilities, data lakes are not databases, and object storage does not provide support for ACID processing semantics, which you may require to effectively optimize and manage your data at scale across hundreds or thousands of users using a multitude of different technologies.

Data Lake 113

Data Lake Metadata Optimization Statistics 113

Ontotext

JANUARY 20, 2022

We’ve already discussed that enterprise knowledge graphs bring together and harmonize all-important organizational knowledge and metadata. They focus on business-specific information needs and how to properly source the needed data rather than analyze preexisting application models. Analyzing Unstructured Data with GraphDB 9.8.

Enterprise 52

Enterprise Unstructured Data Modeling Visualization 52

AWS Big Data

AUGUST 15, 2023

We create an S3 bucket to store data that exceeds the Lambda function’s response size limits. The Google Cloud Platform portion of the architecture contains a few services as well: Google Cloud Storage – A managed service for storing unstructured data. For instructions, refer to Setting up databases and tables in AWS Glue.

Recreation/Entertainment 85

Recreation/Entertainment Unstructured Data Business Intelligence Data-driven 85

Sisense

MAY 28, 2020

“Not only do they have to deal with data that is distributed across on-premises, hybrid, and multi-cloud environments, but they have to contend with structured, semi-structured, and unstructured data types. All of this results in a lot of friction within data-driven organizations. Creating a path to success.

Internet of Things 83

Internet of Things Metadata Data-driven Unstructured Data 83

AWS Big Data

JULY 20, 2023

Orca connects to your environment in minutes with patented SideScanning technology to provide complete coverage across vulnerabilities, malware, misconfigurations, lateral movement risk, weak and leaked passwords, overly permissive identities, and more. In addition, we describe the Orca Platform architecture and the technologies used.

Data Lake 85

Data Lake Analytics Snapshot Optimization 85

AWS Big Data

MARCH 25, 2024

Streaming jobs constantly ingest new data to synchronize across systems and can perform enrichment, transformations, joins, and aggregations across windows of time more efficiently. For building such a data store, an unstructured data store would be best.

Data Lake 90

Data Lake Unstructured Data Management Modeling 90

CIO Business Intelligence

MARCH 29, 2022

. • You have data but don’t use it. Why does valuable data so often go unused? Lack of annotation with the right metadata is a contributing factor. An even larger issue is that people may not know how to see value in data. Recognizing what data can tell you is an acquired skill for people beyond just data scientists.

Cost-Benefit 52

Cost-Benefit Machine Learning Metadata Data Quality 52

AWS Big Data

FEBRUARY 21, 2023

Unlike a pure dimensional design, a data vault separates raw and business-generated data and accepts changes from both sources. Data vaults make it easy to maintain data lineage because it includes metadata identifying the source systems.

Data Warehouse 63

Data Warehouse Data Lake Cost-Benefit Modeling 63

Laminar Security

MAY 3, 2023

They define DSPM technologies this way: “DSPM technologies can discover unknown data and categorize structured and unstructured data across cloud service platforms. At Laminar, we refer to those “unknown data repositories” as shadow data. . #2:

Management 52

Management Risk Risk Management Data Processing 52

AWS Big Data

FEBRUARY 22, 2023

An AWS Glue ETL job, using the Apache Hudi connector, updates the S3 data lake hourly with incremental data. The AWS Glue job can transform the raw data in Amazon S3 to Parquet format, which is optimized for analytic queries. All the metadata of the tables is stored in the AWS Glue Data Catalog, including the Hudi tables.

Data Lake 52

Data Lake Dashboards Cost-Benefit Metadata 52

AWS Big Data

MARCH 10, 2023

Since the deluge of big data over a decade ago, many organizations have learned to build applications to process and analyze petabytes of data. Data lakes have served as a central repository to store structured and unstructured data at any scale and in various formats.

Data Lake 102

Data Lake Sales Data Warehouse Snapshot 102

Cloudera

SEPTEMBER 15, 2022

Cloudera Contributor: Mark Ramsey, PhD ~ Globally Recognized Chief Data Officer. July brings summer vacations, holiday gatherings, and for the first time in two years, the return of the Massachusetts Institute of Technology (MIT) Chief Data Officer symposium as an in-person event. Why should this be on their technology roadmap?

Data Lake 81

Data Lake Data Architecture Data-driven Data Warehouse 81

Ontotext

SEPTEMBER 2, 2020

This technology enabled strategic and commercial supremacy for hundreds of years until the recipe was lost. The use of open source technology and open APIs avoid data silos and ensure institutional memory is shared across departments. Data is represented in a holistic, human-friendly and meaningful way.

Insurance 72

Insurance Metadata Publishing Unstructured Data 72

Cloudera

AUGUST 30, 2018

Digital technologies are changing business models, reshaping how companies go-to-market, win new customers and drive new revenue-producing opportunities. Machine learning driven business – A focus on the design of systems that can learn from and make decisions and predictions based on data. Tough decisions. Complex scenarios.

Enterprise 40

Enterprise Data-driven Digital Transformation Machine Learning 40

O'Reilly on Data

FEBRUARY 11, 2020

They don’t have the resources they need to clean up data quality problems. The building blocks of data governance are often lacking within organizations. These include the basics, such as metadata creation and management, data provenance, data lineage, and other essentials. An additional 7% are data engineers.

Data Quality 304

Data Quality Metadata Data Governance Publishing 304

CIO Business Intelligence

MARCH 6, 2024

“SAP is executing on a roadmap that brings an important semantic layer to enterprise data, and creates the critical foundation for implementing AI-based use cases,” said analyst Robert Parker, SVP of industry, software, and services research at IDC. We are also seeing customers bringing in other data assets from other apps or data sources.

Unstructured Data 126

Unstructured Data Dashboards Business Intelligence Data Governance 126

Rita Sallam

JULY 22, 2016

By contrast, traditional BI platforms are designed to support modular development of IT-produced analytic content, specialized tools and skills, and significant upfront data modeling, coupled with a predefined metadata layer, is required to access their analytic capabilities. Answer: Better than every other vendor?

Analytics 40

Analytics Business Intelligence Metadata Statistics 40