Knowledge Hut

NOVEMBER 28, 2023

Technical Data Engineer Skills 1.Python Python Python is one of the most looked upon and popular programming languages, using which data engineers can create integrations, data pipelines, integrations, automation, and data cleansing and analysis. Knowledge of requirements and knowledge of machine learning libraries.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

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.

Data Architecture 76

Data Architecture Architecture Data Lake NoSQL 76

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. Dataflow 4.

Kafka 98

Kafka Scala Java Amazon Web Services 98

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

Snowflake

FEBRUARY 8, 2023

Cloud-based infrastructures let you store and share unlimited amounts of data at a low cost, unrestricted by data silos or formats. They also enable users to run analytics or machine learning models using a variety of tools, and can process greater volumes of data in shorter amounts of time.

Retail 52

Retail Cloud Food BI 52

DataKitchen

DECEMBER 30, 2020

DataKitchen provides an end-to-end DataOps platform that automates and coordinates people, tools, and environments in the entire data analytics organization—from orchestration, testing, and monitoring to development and deployment. CRN’s The 10 Hottest Data Science & Machine Learning Startups of 2020 (So Far).

Manufacturing 96

Manufacturing Big Data Data Pipeline Data Science 96

Cloudera

SEPTEMBER 8, 2021

CDOs are under increasing pressure to reduce costs by moving data and workloads to the cloud, similar to what has happened with business applications during the last decade. Our upcoming webinar is centered on how an integrated data platform supports the data strategy and goals of becoming a data-driven company.

Cloud Computing 75

Cloud Computing Government Data Lake Cloud 75

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

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

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

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 Pipeline 52

Data Pipeline Data Data Engineering Data Engineer 52