Monte Carlo

SEPTEMBER 12, 2023

Now, imagine all the data powering that platform. We had to know how their data team made it happen, especially in such a short span of time, so we recently sat down with Engineering Director Emmanuel Fuentes to learn more. They were among Whatnot’s earliest employees and together built the data foundation for the company.

Machine Learning 52

Machine Learning Data Entertainment SQL 52

Monte Carlo

FEBRUARY 8, 2024

Data observability has been one of the hottest emerging data engineering technologies the last several years. This momentum shows no signs of stopping with data quality and reliability becoming a central topic in the data product and AI conversations taking place across organizations of all types and sizes.

BI 59

BI Data Pipeline Data Warehouse Data 59

Monte Carlo

AUGUST 31, 2023

Data is a priority for your CEO, as it often is for digital-first companies, and she is fluent in the latest and greatest business intelligence tools. Your CTO is excited about migrating to the cloud, and constantly sends your team articles highlighting performance measurements against some of the latest technologies.

Data Lake 52

Data Lake Data Pipeline Unstructured Data Data Warehouse 52

Monte Carlo

MAY 17, 2023

Data observability, an organization’s ability to fully understand the health and quality of the data in their systems, has become one of the hottest technologies in modern data engineering. To help clarify, we reviewed hundreds of data observability deployments to identify 61 real data observability use cases and benefits.

Data 52

Data Data Pipeline Data Engineering Data Engineer 52

Monte Carlo

MAY 17, 2023

Data observability, an organization’s ability to fully understand the health and quality of the data in their systems, has become one of the hottest technologies in modern data engineering. To help clarify, we reviewed hundreds of data observability deployments to identify 61 real data observability use cases and benefits.

Data Pipeline 52

Data Pipeline Data Data Engineering Data Engineer 52

DataKitchen

APRIL 13, 2021

Download the 2021 DataOps Vendor Landscape here. DataOps is a hot topic in 2021. This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. To date, we count over 100 companies in the DataOps ecosystem. Meta-Orchestration.

Consulting 123

Consulting Machine Learning Data Science Data Pipeline 123

DataKitchen

DECEMBER 7, 2021

Back by popular demand, we’ve updated our data nerd Gift Giving Guide to cap off 2021. We’ve kept some classics and added some new titles that are sure to put a smile on your data nerd’s face. Fail Fast, Learn Faster: Lessons in Data-Driven Leadership in an Age of Disruption, Big Data, and AI, by Randy Bean.

Data Governance 98

Data Governance Big Data Government Data Science 98

DataKitchen

DECEMBER 30, 2020

While 2020 has been a collectively difficult year, we want to take a moment to thank all of our employees for the hard work they put into continually developing our DataKitchen DataOps Platform for our customers. DBTA’s 100 Companies That Matter Most in Data. Top Executive: Christopher Bergh, CEO. Headquarters: Cambridge, Mass.

Manufacturing 96

Manufacturing Big Data Data Pipeline Data Science 96

Cloudera

JULY 26, 2021

With this first article of the two-part series on data product strategies, I am presenting some of the emerging themes in data product development and how they inform the prerequisites and foundational capabilities of an Enterprise data platform that would serve as the backbone for developing successful data product strategies.

Generalist 114

Generalist Telecommunication Healthcare Data 114

AltexSoft

AUGUST 22, 2022

The landscape of enterprise data is fragmented. Organizations have data stored in public and private clouds, as well as in various on-premises data repositories. Some would say that it’s not a big deal, however, these mixed environments have resulted in the complexities of managing disjointed data and business processes.

Architecture 52

Architecture Metadata Data Lake Machine Learning 52

AltexSoft

MARCH 30, 2023

The answer is simple: They use the same technology to make the most of data. Along with thousands of other data-driven organizations from different industries, the above-mentioned leaders opted for Databrick to guide strategic business decisions. The relatively new storage architecture powering Databricks is called a data lakehouse.

Scala 64

Scala Data Lake BI Google Cloud 64

U-Next

SEPTEMBER 29, 2022

It has long been considered a unique characteristic of humans to display intelligent behavior, but now AI (Artificial Intelligence) is here, and there are many uses of Artificial Intelligence. Nevertheless, AI is increasingly proving to be the transformative technology of our age as computer science and IT networks advance exponentially.

Medical 40

Medical Machine Learning Manufacturing Raw Data 40