Cloudera

JUNE 18, 2022

In recent years, the term “data lakehouse” was coined to describe this architectural pattern of tabular analytics over data in the data lake. In a rush to own this term, many vendors have lost sight of the fact that the openness of a data architecture is what guarantees its durability and longevity.

Data Lake 89

Data Lake Data Warehouse BI SQL 89

Knowledge Hut

MARCH 22, 2024

They play a crucial role in ensuring data security, scalability, and performance, enabling organizations to leverage their data effectively for informed decision-making. Role Level: This role typically falls under the mid-senior to senior level category and requires experience in data architecture principles and cloud technologies.

AWS 52

AWS Amazon Web Services Cloud Computing Google Cloud 52

Cloudera

DECEMBER 19, 2018

Business intelligence (BI), an umbrella term coined in 1989 by Howard Dresner, Chief Research Officer at Dresner Advisory Services, refers to the ability of end-users to access and analyze enterprise data. In 2015, only 17% of organizations surveyed had big data implementations. Natural Language Analysis and Streaming Data Analytics.

BI 52

BI Cloud Computing Data Warehouse Big Data 52

Knowledge Hut

MARCH 26, 2024

Data Solutions Architect Role Overview: Design and implement data management, storage, and analytics solutions to meet business requirements and enable data-driven decision-making. Role Level: Mid to senior-level position requiring expertise in data architecture, database technologies, and analytics platforms.

Amazon Web Services 52

Amazon Web Services Google Cloud Computer Science AWS 52

Cloudera

DECEMBER 28, 2017

With this in mind, Nordea implemented a modern data architecture based on Cloudera that allowed them to improve data quality, cut data ingest times by 87%, shorten DevOps cycle times, and simplify data management processes. Click here to listen to the full webinar with Nordea.

Banking 40

Banking Data Ingestion Big Data Data Architecture 40

Knowledge Hut

NOVEMBER 17, 2023

Data Architecture and Design: These experts excel in creating effective data structures that meet scalability requirements, ensure optimal data storage, processing, and retrieval, and correspond with business demands. Attend conferences, watch webinars, read blogs, and keep up with Azure news.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

The Modern Data Company

FEBRUARY 3, 2023

Get to the Future Faster – Modernize Your Manufacturing Data Architecture Without Ripping and Replacing Implementing customer lifetime value as a mission-critical KPI has many challenges. Companies need consistent, high-quality data and a straightforward way to measure CLV.

Retail 97

Retail Manufacturing High Quality Data Data Architecture 97

The Modern Data Company

FEBRUARY 3, 2023

Get to the Future Faster – Modernize Your Manufacturing Data Architecture Without Ripping and Replacing Implementing customer lifetime value as a mission-critical KPI has many challenges. Companies need consistent, high-quality data and a straightforward way to measure CLV.

Manufacturing 98

Manufacturing High Quality Data Data Architecture Architecture 98

Knowledge Hut

NOVEMBER 17, 2023

Networking: Attend AI conferences, webinars, and meetups to connect with professionals in the field. Data Engineer: Data engineers are crucial in building and maintaining the infrastructure necessary for data generation and machine learning model deployment. Contribute to open-source projects or work on your AI projects.

Deep Learning 52

Deep Learning Data Science Machine Learning Certification 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 75

Data Architecture Architecture Data Lake NoSQL 75

Knowledge Hut

SEPTEMBER 29, 2023

By combining data from various structured and unstructured data systems into structures, Microsoft Azure Data Engineers will be able to create analytics solutions. Why Should You Get an Azure Data Engineer Certification? Finally, Azure Synapse Analytics may be used to learn how to create predictive models.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

The Modern Data Company

FEBRUARY 2, 2023

Get to the Future Faster – Modernize Your Manufacturing Data Architecture Without Ripping and Replacing Implementing customer lifetime value as a mission-critical KPI has many challenges. Companies need consistent, high-quality data and a straightforward way to measure CLV.

Systems 52

Systems Manufacturing High Quality Data Data Architecture 52

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.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

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

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

Read our Retail Success Guide: 10 Ways Retail and CPG Drive Business Value with the Data Cloud. Learn about the Modern Marketing Data Stack in our webinar, The Future of Marketing Is on Snowflake. Read about Snowflake’s unique, multi-cluster shared data architecture.

Retail 52

Retail Cloud Food BI 52

DataKitchen

JUNE 1, 2022

They have a Low Change Appetite: Teams have complicated in place data architectures and tools. There is no single pane of glass: no ability to see across all tools, pipelines, data sets, and teams in one place. Learn more, watch our on-demand webinar. They fear change in what already running.

Management 52

Management Data Data Analytics Data Architecture 52

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 74

Cloud Computing Government Data Lake Cloud 74

DataKitchen

DECEMBER 30, 2020

The technology aims to help data analytics businesses orchestrate with their favourite tools, reduce errors through automated tests in the development and production pipeline, create repeatable work environments to help teams make changes and experiment without breaking production, and deploy new features with the push of a button.

Manufacturing 96

Manufacturing Big Data Data Pipeline Data Science 96

Monte Carlo

JUNE 14, 2023

FiveTran is used to batch ingest data which lands in Snowflake and is transformed by dbt and monitored for quality by Monte Carlo. Learn more by checking out the webinar they did with Snowflake. That’s essentially what triggered the discussion of ‘We need to do things differently,’” said Emmanuel Martin-Chave, VP of data analytics.

Data Pipeline 52

Data Pipeline Architecture Data Lake Data Warehouse 52

Monte Carlo

NOVEMBER 30, 2022

During IMPACT 2022: The Data Observability Summit, I had the distinct privilege of chatting with three data pros that have direct experience on how to implement data mesh architectures: Max Schultze at fashion and shoe retailer Zalando, Matheus Espanhol at technology solutions provider BairesDev, and Samia Rahman at biotech startup Seagen.

Data 52

Data Government Architecture Data Lake 52

DataKitchen

OCTOBER 11, 2021

First, you must understand the existing challenges of the data team, including the data architecture and end-to-end toolchain. To learn more about DataOps Engineering, watch our webinar on this topic, A Day In the Life of A DataOps Engineer. A DataOps implementation project consists of three steps. About the Author.

Engineering 62

Engineering BI Business Analyst Metadata 62

Monte Carlo

MARCH 28, 2024

And this idea of data as a product is kind of a continuum shift to start to change that.” Kyle Shannon , Senior Data & Analytics Engineer at SeatGeek, shared in the same webinar that his company is focusing on scalability due to the rapid growth of their data team.

Data 52

Data High Quality Data Machine Learning Accessible 52

Cloudera

NOVEMBER 27, 2023

By democratizing access to streaming data, and bringing domain expert users into the development cycle, we help accelerate iterations on stream processing applications. This is vital when onboarding new data, or changing logic to meet evolving needs as is the case in fraud monitoring. Takeaway No.

Kafka 78

Kafka SQL ETL Tools Data Lake 78

Data Engineering Weekly

JULY 30, 2023

In case you missed it, this is a must-watch talk Sponsored: Great Data Debate–The State of Data Mesh Since 2019, the data mesh has woven itself into every blog post, event presentation, and webinar. But 4 years later, in 2023 — where has the data mesh gotten us?

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Monte Carlo

MAY 17, 2023

Before data scientists or data analyst can do anything interesting with the data, they often need to spend time verifying the lineage, ensure there aren’t any missing rows, and other general cleaning tasks. System Modernization and Optimization The only constant in data engineering is change.

Data 52

Data Data Pipeline Data Engineering Data Engineer 52

Monte Carlo

MAY 17, 2023

Before data scientists or data analyst can do anything interesting with the data, they often need to spend time verifying the lineage, ensure there aren’t any missing rows, and other general cleaning tasks. System Modernization and Optimization The only constant in data engineering is change.

Data Pipeline 52

Data Pipeline Data Data Engineering Data Engineer 52