Cloudera

AUGUST 30, 2022

Modern data architectures. To eliminate or integrate these silos, the public sector needs to adopt robust data management solutions that support modern data architectures (MDAs). Deploying modern data architectures. Lack of sharing hinders the elimination of fraud, waste, and abuse. Forrester ).

Data Architecture 78

Data Architecture Architecture Data Lake NoSQL 78

Knowledge Hut

MAY 3, 2024

A new breed of ‘Fast Data’ architectures has evolved to be stream-oriented, where data is processed as it arrives, providing businesses with a competitive advantage. Dean Wampler (Renowned author of many big data technology-related books) Dean Wampler makes an important point in one of his webinars.

Kafka 98

Kafka Scala Java Amazon Web Services 98

Cloudera

JUNE 18, 2022

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. On data warehouses and data lakes.

Data Lake 92

Data Lake Data Warehouse BI SQL 92

Knowledge Hut

DECEMBER 21, 2023

Senior Data Engineer A senior data engineer is a more advanced position that involves leading the design, building, and data infrastructure maintenance. They are accountable for managing a team of junior data engineers and ensuring the data architecture meets the organization's needs.

Data Engineering 52

Data Engineering Data Engineer Engineering MongoDB 52

Monte Carlo

MARCH 28, 2024

And you’ll be working to convince your stakeholders that data should be prioritized, and to justify the investments required to treat data as a product. How much do we trust the data that makes up the foundation of the machine learning that drives our business decisions?

Data 52

Data High Quality Data Machine Learning Accessible 52

Monte Carlo

JUNE 14, 2023

This scale and flexibility of the cloud and an ELT design pattern unlocked additional valuable use cases such as more widespread analytics, experimentation, and machine learning applications. While these batch data pipelines were ideal for analytical use cases, there has been an increased need for near-real time data.

Data Pipeline 52

Data Pipeline Architecture Data Lake Data Warehouse 52

Monte Carlo

MAY 17, 2023

Differentiate Data Products 25. Keep Critical Machine Learning Algorithms Online 27. Data observability platforms deploy machine learning monitors that detect issues as they become anomalous and provide the full context to data teams allowing them to jump into action. Improve Marketing Campaigns 23.

Data 52

Data Data Pipeline Data Engineering Data Engineer 52