Precisely

JUNE 19, 2024

The centralization of customer data makes it easy for teams to gain a better understanding of their customers and create a consistent customer experience. Read this white paper to learn more. Improved decision-making: Leverage comprehensive analytics from both systems to refine strategies and improve customer satisfaction.

Management 59

Management Media Government Systems 59

Data Engineering Podcast

NOVEMBER 22, 2017

To help other people find the show you can leave a review on iTunes , or Google Play Music , and tell your friends and co-workers This is your host Tobias Macey and today I’m interviewing Julien Le Dem and Doug Cutting about data serialization formats and how to pick the right one for your systems.

Hadoop 100

Hadoop Data Storage Data Pipeline Data Engineer 100

Cloudera

DECEMBER 3, 2021

In 2019, the Gradient institute published a white paper outlining the practical challenges for Ethical AI. They identified four main categories: capturing intent, system design, human judgement & oversight, regulations. An AI system trained on data has no context outside of that data. System Design.

Government 101

Government Hospitality Education Designing 101

Cloudera

AUGUST 21, 2021

The same study also stated that having stronger online data security, being able to conduct more banking transactions online and having more real-time problem resolution were the top priorities of consumers. . Financial institutions need a data management platform that can keep pace with their digital transformation efforts.

Banking 102

Banking Raw Data High Quality Data Business Intelligence 102

Precisely

JULY 20, 2023

Precisely Automate is comprised of: Automate Studio: solving “The Excel problem” – Automate Studio is our low-code, no-code data management and automation solution that’s perfect for common mass data processes in SAP ERP systems – think pricing updates, material changes, and journal entries.

Process 40

Process Finance Government Coding 40

Knowledge Hut

JANUARY 2, 2024

Additionally, these tasks include data storage, payment receipts, emailing, big data management, sending push notifications, etc. All areas are covered, including secure applications, performant systems, and resilient architectures. It contains details on all of Amazon Web Services' available tools.

AWS 52

AWS Amazon Web Services Certification Architecture 52

Rockset

FEBRUARY 25, 2021

It’s difficult to create data analytics systems that can easily query across your various data sources while maintaining fast performance and real-time capabilities. Elasticsearch , originally developed for text search, has recently tried to push into the data analytics space. This can be a challenge, though.

SQL 40

SQL Data Pipeline Kafka Database 40

Data Engineering Podcast

JANUARY 28, 2018

Your host is Tobias Macey and today I’m interviewing Danielle Robinson and Joe Hand about Dat Project, a distributed data sharing protocol for building applications of the future Interview Introduction How did you get involved in the area of data management? What is the Dat project and how did it get started?

Data 100

Data Project Data Management Electronics 100

ProjectPro

NOVEMBER 1, 2016

(Source: [link] Big data technology market speeding up with NoSQL and Hadoop at forefront.CloudComputing-News.net October 3,2016 According to a recent report from Forrester titled Big Data Management Solutions Forecast 2016 to 2021,Hadoop and NoSQL will see a major growth.With the markets growing 25.0%

Hadoop 40

Hadoop NoSQL Big Data SQL 40

The Modern Data Company

FEBRUARY 8, 2023

A modern data operating system, like DataOS from The Modern Data Company, provides the underlying platform that can enable successful rollouts of self-service tools to experts and non-experts alike. Is there a way to make this easier? It will compile the results and feed them back to the application that requested it.

Government 98

Government Data Engineer Data Engineering Data Pipeline 98

The Modern Data Company

FEBRUARY 2, 2023

One option to enable all of this is a data operating system such as DataOS from The Modern Data Company. A data operating system can identify, catalog, and govern data from any type of system from one central entry point. This makes managing and implementing self-service tools easier than ever before.

Government 98

Government Data Governance Machine Learning SQL 98

Precisely

OCTOBER 16, 2023

For organizations that continue to rely on mainframe systems to process their most mission-critical workloads, the digital revolution demands new approaches to integration. Businesses must tear down the barriers that stand between their core data assets and the globally distributed computing systems driving today’s economy.

Cloud 72

Cloud Cloud Computing Metadata Data Governance 72