Cloudera

MAY 12, 2021

2020 saw us hosting our first ever fully digital Data Impact Awards ceremony, and it certainly was one of the highlights of our year. We saw a record number of entries and incredible examples of how customers were using Cloudera’s platform and services to unlock the power of data. DATA FOR ENTERPRISE AI.

Food 68

Food Healthcare Government Medical 68

Cloudera

OCTOBER 18, 2021

It’s that time of year again… Award season! We are thrilled to announce the finalists of the 2021 Data Impact Awards. This year’s entrants have excelled at demonstrating how innovative data solutions can help solve real-time challenges and positively impact people around the world. .

Banking 111

Banking Transportation Government Finance 111

Monte Carlo

MARCH 25, 2024

When we launched the data observability category in 2020, we set out to solve a very real problem: data trust. In the preceding months, I met with hundreds of data leaders about what kept them up at night. What if there was a way to ensure that your data was trustworthy and reliable? In 2021, we were flying blind.

MySQL 64

MySQL Government Data Governance Kafka 64

Ascend.io

JANUARY 11, 2023

We are thrilled to announce that we have been named one of the “Best Places to Work” by Built In for 2023 ! We believe our focus on a high-impact culture continues to make Ascend a phenomenal place for individuals hungry to grow faster, learn more, and have a greater impact in their career.”

IT 52

IT Data Pipeline Building Data Engineering 52

Cloudera

NOVEMBER 18, 2021

With so many impactful and innovative projects being carried out by our customers using the Cloudera platform, selecting the winners of our annual Data Impact Awards (DIA) is never an easy task. For the second year running, we announced the winners to a global audience via a virtual ceremony.

Banking 78

Banking Data Lake Telecommunication Data 78

Monte Carlo

MAY 24, 2022

Today, I’m excited to announce that Monte Carlo, the data reliability company, has raised $135M in Series D funding from IVP, with participation from Accel, GGV Capital, Redpoint Ventures, ICONIQ Growth, Salesforce Ventures, and GIC Singapore. and EMEA go-to-market and engineering teams. Last year organizations spent $39.2

High Quality Data 52

High Quality Data Data Education Machine Learning 52