Confluent

JULY 11, 2019

I’ve been using KSQL from Confluent since its first developer preview in 2017. Reading, writing, and transforming data in Apache Kafka ® using KSQL is an effective way to rapidly deliver event streaming applications for clients (e.g., using this special coupon for our blog readers. streaming insurance events ).

Training 83

Training Course Exercises IoT 83

Cloudera

MAY 10, 2018

Cloudera 2017 Data Impact Award Winners. We are excited to kick off the 2018 Data Impact Awards ! Since 2012, the Data Impact Awards have showcased how organizations are using Cloudera and the power of data to transform themselves and achieve dramatic results. Learn more about the Data Impact Awards.

Data 41

Data Machine Learning Artificial Inteligence Data Engineering 41

Cloudera

SEPTEMBER 10, 2021

The IRS has spent more than a decade working to combat high-cost hazards, including launching a collaborative Identity Theft Tax Refund Fraud Information Sharing and Analysis Center (ISAC) pilot for the 2017 tax-filing season, advancing authentication tools and taking proactive steps in fighting business identity theft.

Artificial Inteligence 71

Artificial Inteligence Machine Learning Artificial Intelligence Engineering 71

Cloudera

MAY 27, 2021

This blog post was written by Pedro Pereira as a guest author for Cloudera. . When developing ethical AI systems, the most important part is intent and diligence in evaluating models on an ongoing basis,” said Santiago Giraldo Anduaga, director of product marketing, data engineering and ML at Cloudera. The answer is not obvious.

Artificial Inteligence 119

Artificial Inteligence Artificial Intelligence Technical Review Systems Review 119

Hu's Place - HitachiVantara

NOVEMBER 11, 2018

One of the vendors that has been on the Gartner Magic Quadrant for Public Cloud Infrastructure Managed Service Providers, Worldwide since its first release in March 2017, is REAN Cloud. Data scientists, DevOps engineers, big data consultants, cloud architects, AppDev engineers, and many more – all of them smart and collaborative.

Cloud 78

Cloud Google Cloud Azure AWS 78

Erik Bernhardsson

OCTOBER 7, 2018

I don’t believe in learning things without a concrete example, so let’s generate some data. We’re going to generate a fake time series where the dates range from 2017-07-01 to 2018-07-31. date ( 2017 , 7 , 1 )): xs = numpy. I’m looking for data engineers to join my team at Better ! ys = [ k * x + m + random.

Groups 267

Groups Software Review Data Testing 267

The Citus Data

MARCH 31, 2023

A developer friend of mine prefers to read about what to expect at upcoming events in the narrative form of a blog, rather than having to click in and out of different abstracts on a schedule page. And yes, Citus Con is virtual again this year!

Azure 84

Azure Open Source Virtualization Software Engineering 84

Hu's Place - HitachiVantara

JANUARY 3, 2019

” Deployments of large data hubs have only resulted in more data silos that are not easily understood, related, or shared. In order to utilize the wealth of data that they already have, companies will be looking for solutions that will give comprehensive access to data from many sources.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

Erik Bernhardsson

OCTOBER 7, 2018

I don’t believe in learning things without a concrete example, so let’s generate some data. We’re going to generate a fake time series where the dates range from 2017-07-01 to 2018-07-31. date ( 2017 , 7 , 1 )): xs = numpy. I’m looking for data engineers to join my team at Better ! ys = [ k * x + m + random.

Groups 100

Groups Software Review Data Testing 100

O'Reilly Media - Ideas

JANUARY 25, 2024

Rachel Stephens provides two fascinating pieces of the puzzle in a recent article on the RedMonk blog , but those pieces don’t fit together exactly. And there was no generative AI, no ChatGPT, back in 2017 when the decline began. Data engineering deals with the problem of storing data at scale and delivering that data to applications.

Trends 111

Trends Technical Review Technology Artificial Inteligence 111

Cloudera

DECEMBER 7, 2017

At Cloudera, we call that better way the Shared Data Experience (SDX.) We announced SDX at Strata New York in September 2017. Now we are releasing the reference architecture for you build your own self-managed SDX foundation for all your cloud-based data and analytics applications. It’s time for SDX.

Data 40

Data Machine Learning Artificial Inteligence Analytics 40

Cloudera

APRIL 21, 2022

The VA then announced in June 2017 that it would use DoD’s MHS Genesis system for electronic health records, which is being built under a 10-year contract awarded in 2015 and projected to ultimately cost $10 billion. . The platform can absorb data streams in real-time, then pass them on to the right database or distributed file system. .

Security 91

Security Data Insurance System 91

StubHub

MARCH 1, 2019

Vaishali Gandhi , Head of Data Engineering & Delivery (San Francisco, CA): An organization that allows an individual to grow their career and fulfill their family duties is a “balanced” work environment. This comes from a 2017 McKinsey Report. We haven’t reached the ideal goal by any measure. Don’t take my word for it.

CTO Coach 40

CTO Coach Weak Development Team Leadership Culture 40

Cloudera

OCTOBER 26, 2017

Check out Greg Rahn’s session, “ Rethinking data marts in the cloud: Common architectural patterns for analytics ” at the Strata Data Conference in Singapore, December 4-7, 2017, to learn how to architect analytic workloads in the cloud and the core elements of data governance. Let’s discuss each in more detail.

Cloud 43

Cloud Data Storage Analytics 43

TIBCO - Connected Intelligence

SEPTEMBER 12, 2019

. $3 Trillion Per Year pointed out how bad data caused huge annual costs across the U.S., citing, “The reason bad data costs so much is that decision makers, managers, knowledge workers, data scientists, and others must accommodate it in their everyday work. In their 2017 HBR article “ What’s Your Data Strategy ?,”

Data 5

Data Software Review Analytics Virtualization 5

Datavail

SEPTEMBER 8, 2022

According to Statista , in 2021 companies used an average of 110 software as a service (SaaS) applications in their IT environment, which is a sevenfold increase from just 16 applications in 2017. What’s more, 20 percent of these companies are using 1,000 or more sources, far too many to be properly managed by human data engineers.

Data 40

Data Nonprofit Quality Assurance Education 40