Cloudera

NOVEMBER 12, 2020

Your sunk costs are minimal and if a workload or project you are supporting becomes irrelevant, you can quickly spin down your cloud data warehouses and not be “stuck” with unused infrastructure. Cloud deployments for suitable workloads gives you the agility to keep pace with rapidly changing business and data needs.

Data Warehouse 104

Data Warehouse Reporting Risk Cost-Benefit 104

AWS Big Data

MARCH 10, 2023

They enable transactions on top of data lakes and can simplify data storage, management, ingestion, and processing. These transactional data lakes combine features from both the data lake and the data warehouse. The Iceberg table is synced with the AWS Glue Data Catalog.

Data Lake 122

Data Lake Sales Data Warehouse Snapshot 122

DataKitchen

JUNE 24, 2021

Previously we would have a very laborious data warehouse or data mart initiative and it may take a very long time and have a large price tag. The first-class citizen is data and the product that you’re manufacturing is a data solution. Bergh added, “ DataOps is part of the data fabric.

Metrics 211

Metrics ROI Measurement Cost-Benefit 211

CIO Business Intelligence

SEPTEMBER 22, 2023

DMPs excel at negotiating with a wide array of databases, data lakes, or data warehouses, ingesting their streams of data and then cleaning, sorting, and unifying the information therein. Roku OneView The brand name may be more familiar as a streaming video device manufacturer, but Roku also places ads.

Management 105

Management Advertising Data Lake Sales 105

Cloudera

JUNE 16, 2022

Organizations are increasingly building low-latency, data-driven applications, automations, and intelligence from real-time data streams. Cloudera Stream Processing (CSP) enables customers to turn streams into data products by providing capabilities to analyze streaming data for complex patterns and gain actionable intel.

Data Lake 88

Data Lake Manufacturing Metadata Dashboards 88

Jet Global

JUNE 5, 2019

The path to doing so begins with the quality and volume of data they are able to collect. Toiling Away in the Data Mines. If data is the fuel driving opportunities for optimization, data mining is the engine—converting that raw fuel into forward motion for your business.

Data mining 75

Data mining Business Intelligence OLAP Key Performance Indicator 75

IBM Big Data Hub

OCTOBER 12, 2023

Among the tasks necessary for internal and external compliance is the ability to report on the metadata of an AI model. Metadata includes details specific to an AI model such as: The AI model’s creation (when it was created, who created it, etc.) But the implementation of AI is only one piece of the puzzle.

Cost-Benefit 76

Cost-Benefit Metadata Data Governance Optimization 76

Cloudera

MAY 12, 2021

Use cases could include but are not limited to: workload analysis and replication, migrating or bursting to cloud, data warehouse optimization, and more. Should you find yourself looking for inspiration for your entry, we encourage you to have a look at the incredible work of last year’s data superheroes.

Digital Transformation 70

Digital Transformation Machine Learning Optimization Data Lake 70

AWS Big Data

MARCH 25, 2024

You can find similar use cases in other industries such as retail, car manufacturing, energy, and the financial industry. In this post, we discuss why data streaming is a crucial component of generative AI applications due to its real-time nature. versions).

Data Lake 122

Data Lake Unstructured Data Management Snapshot 122

Andrew White

OCTOBER 22, 2021

Manufacturer (process or discrete) 8. Lakehouse (data warehouse and data lake working together) 8. Data Literacy, training, coordination, collaboration 8. Data Management Infrastructure/Data Fabric 5. Data Integration tactics 4. Metadata Strategy 3. Financial Services 4. Healthcare 4.

IT 52

IT Data Lake Data Science Strategy 52

In(tegrate) the Clouds

DECEMBER 21, 2015

2016 will be the year of the data lake. It will surround and, in some cases, drown the data warehouse, and we’ll see significant technology innovations, methodologies and reference architectures that turn the promise into a reality. Is Netflix considered a software company these days? What about Uber?

Technology 45

Technology Internet of Things Digital Transformation Big Data 45

Ontotext

MARCH 8, 2023

Rich metadata and semantic modeling continue to drive the matching of 50K training materials to specific curricula, leading new, data-driven, audience-based marketing efforts that demonstrate how the recommender service is achieving increased engagement and performance from over 2.3 million users.

Enterprise 52

Enterprise Knowledge Discovery Risk Machine Learning 52

Andrew White

JANUARY 11, 2021

As such banking, finance, insurance and media are good examples of information-based industries compared to manufacturing, retail, and so on. See recorded webinars: Emerging Practices for a Data-driven Strategy. Data and Analytics Governance: Whats Broken, and What We Need To Do To Fix It. Link Data to Business Outcomes.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Jet Global

JUNE 17, 2021

A large US-headquartered multinational manufacturer with sales in 100 countries wanted to manage operational transfer pricing at year-end with more accuracy and transparency, and to move toward a position where it could analyze the meaning behind its reported numbers in more detail. Adopting Key Principles.

Risk 98

Risk Recreation/Entertainment Forecasting Manufacturing 98

Jet Global

MAY 1, 2023

And Manufacturing and Technology, both 11.6 The sample included 1,931 knowledge workers from various industries, including financial services, healthcare, and manufacturing. Internal Application Consider this second example: an internal manufacturing application that helps process $2 million worth of product a year. addresses).

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Jet Global

DECEMBER 17, 2021

Historically, organizations have relied on the upload of.CSV files and mapping tables to affect a data transfer. But such an approach is very susceptible to errors, as for example, metadata such as cost centers, accounts, and hierarchies, is changed on one side of the interface but not the other.

Reporting 52

Reporting Management Recreation/Entertainment Finance 52

David Menninger's Analyst Perspectives

JANUARY 15, 2025

It enjoyed a rapid rise thanks to high levels of interest in the Hadoop project and big data, establishing itself as a primary data platform provider for Fortune 500 companies in industries such as financial services, retail, healthcare, telecommunications, manufacturing and energy/utilities along with government.

Metadata 130

Metadata Data Warehouse Machine Learning Modeling 130

AWS Big Data

FEBRUARY 10, 2025

Redshift Serverless allows you to specify the base data warehouse capacity the service uses to handle your queries for a steady level of performance on a well-known workload or use a price-performance target (AI-driven scaling and optimization), better suited in scenarios with fluctuating demands, optimizing costs while maintaining performance.

Data Warehouse 103

Data Warehouse Cost-Benefit Data Lake Optimization 103