DataKitchen

JANUARY 2, 2021

White Paper: Governance as Code. DataOps provides “ the foundational data operations for operationalizing AI models. It improves the flow of data to points of consumption in the business.” DataOps describes “how you do data management.”. White Paper: 7 Steps to Implement DataOps.

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Data Engineering Podcast

SEPTEMBER 12, 2021

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode.

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The Modern Data Company

FEBRUARY 8, 2023

To learn more about how a data operating system like DataOS can help your organization democratize data and enable more self-service, download our white paper, A Paradigm Shift in Data Management. That’s a strong value proposition worth understanding and exploring.

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Data Engineering Podcast

MAY 8, 2022

In this episode he takes a trip down memory lane to weave an interesting and informative narrative about the broader themes throughout his work and their echoes in the modern data ecosystem. Can you start by sharing what your current relationship to the data ecosystem is and the cliffs-notes version of how you ended up there?

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The Modern Data Company

FEBRUARY 2, 2023

This makes managing and implementing self-service tools easier than ever before. To learn more about how a data operating system like DataOS can help your organization democratize data and enable more self-service, download our white paper A Paradigm Shift in Data Management – Generating Reports.

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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.

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Cloudera

DECEMBER 3, 2021

Surely there are ways to comb through the data to minimise the risks from spiralling out of control. In 2019, the Gradient institute published a white paper outlining the practical challenges for Ethical AI. We need to get to the root of the problem. We briefly summarise each challenge below.

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Government Hospitality Education Data Governance 97

Precisely

JULY 20, 2023

That’s where Precisely Automate comes in – a no-code, low-code solution that helps you accelerate your business processes and improve your data. Use case and demo #2: automating data management Next, let’s talk about transforming the everyday processes that matter most, with simple, real-time SAP data extraction.

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Knowledge Hut

JANUARY 2, 2024

Additionally, these tasks include data storage, payment receipts, emailing, big data management, sending push notifications, etc. Read AWS White Papers: AWS White Papers are detailed technical documents that cover various AWS topics, including architecture best practices, use cases, and specific service deep dives.

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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%

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The Modern Data Company

FEBRUARY 16, 2024

Unleashing the Power of AI with Data Products Traditional project-centric data management stifles AI innovation with siloed data, slow workflows, and limited reusability. Enter the era of data products: self-contained modules of data, logic, and infrastructure that unlock a treasure trove of benefits for AI initiatives.

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Rockset

FEBRUARY 25, 2021

Rockset supports full-featured SQL, enabling filtering, sorting, aggregating, and joining data in SQL. As the de facto language for data management, running SQL allows many users to easily access Rockset or port their queries from other databases to Rockset without any additional training.

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SQL Data Pipeline Kafka Database 40

Cloudera

JULY 9, 2019

Today, much of that speed and efficiency relies on insights driven by big data. Yet big data management often serves as a stumbling block, because many businesses continue to struggle with how to best capture and analyze their data. Unorganized data presents another roadblock. The Enterprise Data Cloud Approach.

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Big Data Data Management Management Cloud 77

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?

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Cloudera

NOVEMBER 30, 2020

Enterprises embedding Privacy by Design into the fabric of their operations adopt safeguards as a core function of their operations, with the people, processes, and enterprise data management technology to support it. . To learn more, read Cloudera’s Data Privacy as a Core Business Process white paper. .

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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.

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Cloudera

JULY 16, 2019

Many hybrid cloud challenges revolve around data. Solving the pain points of big data management is often an essential first step in creating a hybrid cloud strategy that works, and should be done in the context of the business. So, business strategy should drive data strategy, which in turn, should drive your cloud strategy. .

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Precisely

OCTOBER 16, 2023

As a result, there is a widespread desire for access to timely, trustworthy data and the analytical tools to interpret it. This has compelled business users to expand their knowledge of data management and enhance their analytics skills. This can add stress to data management teams and data governance processes.

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