Cloudera

APRIL 1, 2024

We scored the highest in hybrid, intercloud, and multi-cloud capabilities because we are the only vendor in the market with a true hybrid data platform that can run on any cloud including private cloud to deliver a seamless, unified experience for all data, wherever it lies.

Unstructured Data 105

Unstructured Data Cost-Benefit Metadata Machine Learning 105

AWS Big Data

FEBRUARY 26, 2025

Readers can create up to five schedules per dashboard for themselves. Previously, only dashboard owners could create schedules and only on the default (author published) view of the dashboard.

Analytics 59

Analytics Data Lake Metadata Data Warehouse 59

Cloudera

JUNE 7, 2022

We live in a hybrid data world. 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.

IT 112

IT Data Architecture Unstructured Data Big Data 112

Timo Elliott

JANUARY 22, 2019

And using real-time systems as a foundation, managers finally get dashboards with all the information they need to run every aspect of the business, in real time, at their fingertips. Compliance drives true data platform adoption, supported by more flexible data management.

Analytics 96

Analytics Machine Learning Unstructured Data Business Intelligence 96

Cloudera

DECEMBER 11, 2020

It established a data governance framework within its enterprise data lake. Powered and supported by Cloudera, this framework brings together disparate data sources, combining internal data with public data, and structured data with unstructured data.

Data Lake 98

Data Lake Cost-Benefit Unstructured Data Data Governance 98

CIO Business Intelligence

JUNE 14, 2023

How is it possible to manage the data lifecycle, especially for extremely large volumes of unstructured data? Unlike structured data, which is organized into predefined fields and tables, unstructured data does not have a well-defined schema or structure.

Unstructured Data 64

Unstructured Data IT Manufacturing Visualization 64

CIO Business Intelligence

JUNE 23, 2022

We live in a hybrid data world. 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.

IT 97

IT Data Architecture Unstructured Data Big Data 97

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 59

Data Warehouse Unstructured Data Analytics Visualization 59

IBM Big Data Hub

SEPTEMBER 19, 2023

Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics. It focuses on data collection and management of large-scale structured and unstructured data for various academic and business applications.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

Jet Global

SEPTEMBER 4, 2020

Data lakes serve a fundamentally different purpose than data warehouses, in the sense that they are optimized for extremely high volumes of data that may or may not be structured. There are virtually no rules about what such data looks like. It is unstructured.

Data Lake 88

Data Lake OLAP Data Warehouse Unstructured Data 88

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.

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

FineReport

DECEMBER 27, 2021

Dashboards and visualizations are the primary user interfaces of many tools and platforms. Usually, enterprise BI incorporates relatively rigid, well-structured data models on data warehouses or data marts. Moreover, dashboards use auditable, trusted, and consistent definitions of data.

Enterprise 59

Enterprise Dashboards Business Intelligence Visualization 59

Jet Global

OCTOBER 30, 2020

Data lakes are oriented toward unstructured data and artificial intelligence. What are unstructured data? First, let’s consider what “structured” data looks like: CustomerID. Structured data are, by their very nature, orderly and predictable. ERP data are highly structured.

Data Lake 52

Data Lake Unstructured Data Reporting Finance 52

AWS Big Data

FEBRUARY 22, 2023

The data lake implemented by Ruparupa uses Amazon S3 as the storage platform, AWS Database Migration Service (AWS DMS) as the ingestion tool, AWS Glue as the ETL (extract, transform, and load) tool, and QuickSight for analytic dashboards. The audience of these few reports was limited—a maximum of 20 people from management.

Data Lake 52

Data Lake Dashboards Cost-Benefit Data Warehouse 52

Wayne Yaddow

MARCH 14, 2025

Each row provides a brief description of how dbt assists in testing and reporting test results for data transformations and conversions. JSON Artifacts : By default, dbt Core writes structured run and test results to JSON files in the target directory, enabling further analysis or integration with dashboards.

Data Transformation 52

Data Transformation Testing Unstructured Data Data Quality 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 104

Data Lake Unstructured Data Management Snapshot 104

Sisense

MAY 11, 2021

We’re going to nerd out for a minute and dig into the evolving architecture of Sisense to illustrate some elements of the data modeling process: Historically, the data modeling process that Sisense recommended was to structure data mainly to support the BI and analytics capabilities/users.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

AWS Big Data

APRIL 19, 2023

Different departments within an organization can place data in a data lake or within their data warehouse depending on the type of data and usage patterns of that department. They were able to use Amazon Redshift Serverless to serve their key stakeholders with dashboards with financial data for quick decision-making.

Data Warehouse 59

Data Warehouse Data Lake Unstructured Data Optimization 59

Cloudera

SEPTEMBER 6, 2018

It supports a variety of storage engines that can handle raw files, structured data (tables), and unstructured data. It also supports a number of frameworks that can process data in parallel, in batch or in streams, in a variety of languages. Entity Resolution and Data Enrichment. Cloudera Enterprise.

Machine Learning 40

Machine Learning Big Data Risk Data Science 40

Ontotext

FEBRUARY 26, 2024

RED’s focus on news content serves a pivotal function: identifying, extracting, and structuring data on events, parties involved, and subsequent impacts. It compares actual price changes to expected changes based on historical data. Let’s have a quick look under the bonnet.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

Cloudera

SEPTEMBER 17, 2020

They were not able to quickly and easily query and analyze huge amounts of data as required. They also needed to combine text or other unstructured data with structured data and visualize the results in the same dashboards. You can link dashboards and have them depend on each other.

Data Warehouse 81

Data Warehouse Experimentation Dashboards Visualization 81

Jet Global

MAY 9, 2024

Data pipelines play a critical role in modern data-driven organizations by enabling the seamless flow and transformation of substantial amounts of data across various systems and apps. Once processed, the data is routed and delivered to one or more destinations, such as a data warehouse, data lake , or other storage solution.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Jet Global

OCTOBER 1, 2024

This is particularly valuable for teams that require instant answers from their data. Data Lake Analytics: Trino doesn’t just stop at databases. It directly queries structured and semi-structured data from data lakes , enabling operational dashboards and real-time analytics without the need for preprocessing.

Dashboards 52

Dashboards Data Lake Reporting Cost-Benefit 52

BI-Survey

FEBRUARY 27, 2025

AI Model Governance As laid out earlier, the scope of data governance is expanding as AI governance has become an additional requirement. Basic: Does the catalog provide standard data governance features? Advanced capabilities are needed that bring data catalogs closer to the actual data as a side-effect.

Unstructured Data 52

Unstructured Data Metadata Data Quality Data Governance 52