Cloudera

SEPTEMBER 7, 2018

Moreover, this approach struggles to deal with the large volume and variety of data that must be analyzed and often correlated. Analyzing unstructured data sets such as text, audio and images are challenging, especially while determining illegal intent in communications. Requirements for data protection and governance .

Machine Learning 49

Machine Learning Risk Unstructured Data Cost-Benefit 49

Ontotext

NOVEMBER 2, 2023

This is partly because integrating and moving data is not the only problem. The data itself is stored in a way that is not optimal for extracting insight. Unlocking additional value from data requires context, relationships, and structure, none of which are present in the way most organizations store their data today.

IT 69

IT Cost-Benefit Data-driven Technology 69

Ontotext

NOVEMBER 22, 2020

Businesses wanted a way to make pie and not an in-depth understanding of forward-chaining, inferential explosion or SPARQL optimizations. The resulting detailed and structured description of content serves as a basis for semantic indexing, search and exploration as well as the ability to create dynamic and automated content publishing.

Metadata 72

Metadata Cost-Benefit Unstructured Data Technology 72

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 110

Data Lake Sales Data Warehouse Snapshot 110

datapine

NOVEMBER 19, 2019

Social BI indicates the process of gathering, analyzing, publishing, and sharing data, reports, and information. This is done using interactive Business Intelligence and Analytics dashboards along with intuitive tools to improve data clarity. They can also optimize their time if they don’t have to reinvent a report.

Business Intelligence 20

Business Intelligence Knowledge Discovery Unstructured Data Software 20

Rita Sallam

JULY 22, 2016

Q2: Would you consider Sisense better than others in handling big and unstructured data? Not sure about that, but Sisense is well suited for easily harmonizing, combining and modeling many different, complex and large data sets for fast interactive analysis. Answer: Better than every other vendor?

Analytics 40

Analytics Business Intelligence Metadata Statistics 40

CIO Business Intelligence

JUNE 14, 2023

To accomplish this, we will need additional data center space, more storage disks and nodes, the ability for the software to scale to 1000+PB of data, and increased support through additional compute nodes and networking bandwidth. Focus on scalability.

Unstructured Data 64

Unstructured Data IT Manufacturing Visualization 64

O'Reilly on Data

SEPTEMBER 19, 2023

While data scientists were no longer handling Hadoop-sized workloads, they were trying to build predictive models on a different kind of “large” dataset: so-called “unstructured data.” Both situations benefit from a technique that optimizes the search through a large and daunting solution space.

Machine Learning 247

Machine Learning Testing Modeling Cost-Benefit 247

IBM Big Data Hub

MAY 9, 2023

IBM today announced it is launching IBM watsonx.data , a data store built on an open lakehouse architecture, to help enterprises easily unify and govern their structured and unstructured data, wherever it resides, for high-performance AI and analytics. What is watsonx.data?

Data Warehouse 77

Data Warehouse Cost-Benefit Recreation/Entertainment Unstructured Data 77

Cloudera

NOVEMBER 25, 2020

Sample and treatment history data is mostly structured, using analytics engines that use well-known, standard SQL. Interview notes, patient information, and treatment history is a mixed set of semi-structured and unstructured data, often only accessed using proprietary, or less known, techniques and languages.

Data Warehouse 57

Data Warehouse Unstructured Data Analytics Visualization 57

Smart Data Collective

MARCH 24, 2020

According to a 2015 whitepaper published in Science Direct , big data is one of the most disruptive technologies influencing the field of academia. Historically, the education system has accumulated a significant amount of data. Decision making. Sociocultural environment.

Big Data 100

Big Data Internet Publishing and Broadcasting Broadcasting Data Collection 100

Ontotext

SEPTEMBER 2, 2020

Ontotext has been working with clients from internationally renowned names in news such as the BBC, nationally vital wire services such as the Press Association and respected STM publishers and specialist investment information agencies. These organizations reached the limit of optimization relying on keywords long before anyone else.

Insurance 72

Insurance Metadata Publishing Unstructured Data 72

Sisense

JUNE 30, 2020

Predicting forthcoming trends sets the stage for optimizing the benefits your organization takes from them. And the data is as granular as the patient lists at individual family doctors’ surgeries. Her debut novel, The Book of Jeremiah , was published in 2019. Using visualizations to make smarter decisions.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

Cloudera

SEPTEMBER 9, 2022

Imagine quickly answering burning business questions nearly instantly, without waiting for data to be found, shared, and ingested. Imagine independently discovering rich new business insights from both structured and unstructured data working together, without having to beg for data sets to be made available.

Metadata 97

Metadata Machine Learning Unstructured Data Data Lake 97

FineReport

FEBRUARY 5, 2020

To put it bluntly, users increasingly want to do their own data analysis without having to find support from the IT department. Users can centrally manage metadata, including searching, extracting, processing, storing, sharing metadata, and publishing metadata externally. Publish and share analysis content. Metadata management.

Metadata 98

Metadata Dashboards Informatics Visualization 98

Smart Data Collective

OCTOBER 13, 2021

There is no disputing the fact that the collection and analysis of massive amounts of unstructured data has been a huge breakthrough. We would like to talk about data visualization and its role in the big data movement. Multi-channel publishing of data services. Real-time information.

Visualization 135

Visualization Cost-Benefit Big Data Prescriptive Analytics 135

Cloudera

OCTOBER 7, 2021

Data Governance Model: The organizational construct that defines and implements the standards, controls and best practices of the data management program applicable to the Data Product in alignment with any relevant legal and regulatory frameworks. Key Design Principles of a Data Mesh.

Metadata 122

Metadata Cost-Benefit Enterprise Interactive 122

erwin

MARCH 26, 2020

As a result, we’re seeing the rise of the “citizen analyst,” who brings business knowledge and subject-matter expertise to data-driven insights. Some examples of citizen analysts include the VP of finance who may be looking for opportunities to optimize the top- and bottom-line results for growth and profitability.

Data-driven 90

Data-driven Unstructured Data Enterprise Finance 90

Alation

NOVEMBER 22, 2022

This is why public agencies are increasingly turning to an active governance model, which promotes data visibility alongside in-workflow guidance to ensure secure, compliant usage. An active data governance framework includes: Assigning data stewards. Standardizing data formats. Modernizes Data Systems.

Data Governance 52

Data Governance Metadata Data-driven Unstructured Data 52

Laminar Security

MAY 3, 2023

That’s particularly concerning considering that 60% of worldwide corporate data was stored in the cloud during that same period. So while the cloud has become an integral part of doing business, data security in the cloud is lagging behind. Data can be copied, modified, moved, and backed up with just a few clicks.

Management 52

Management Risk Risk Management Data Processing 52

Jet Global

MAY 9, 2024

ELT can simplify the data pipeline by reducing the number of steps and tools involved, but it may rely on the destination system’s ability to handle complex transformations effectively. In an ETL process, data transformations can be optimized before loading, which may improve performance for data-intensive transformations.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Jet Global

NOVEMBER 7, 2023

This growth is caused, in part, by the increasing use of cloud platforms for data storage and processing. But it is also a result of the surge in multimedia content in cloud repositories that requires tools and methods for extracting insights from rich, unstructured data formats. The alternative to BICC is BI Publisher (BIP)​.

Enterprise 52

Enterprise Data Warehouse Operational Reporting Reporting 52