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 93

Data Lake Data Warehouse BI SQL 93

Knowledge Hut

MARCH 26, 2024

Cloud Computing Adoption: As organizations migrate their infrastructure to the cloud, there's a high demand for Solutions Architects who can design cloud-native solutions and optimize cloud resources. Cloud solution architect jobs are highly available.

Amazon Web Services 52

Amazon Web Services Google Cloud Computer Science AWS 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. Natural language analytics and streaming data analytics are emerging technologies that will impact the market. Cloud Computing.

BI 52

BI Cloud Computing Data Warehouse Big Data 52

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 Engineer 52

Data Engineer Data Engineering Engineering Data Lake 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

NOVEMBER 28, 2023

The contemporary world experiences a huge growth in cloud implementations, consequently leading to a rise in demand for data engineers and IT professionals who are well-equipped with a wide range of application and process expertise. Technical Data Engineer Skills 1.Python ETL is central to getting your data where you need it.

Data Engineer 52

Data Engineer Data Engineering Engineering Generalist 52

Monte Carlo

JUNE 14, 2023

Data pipeline architecture typically consisted of hardcoded pipelines that cleaned, normalized, and transformed the data prior to loading into a database using an ETL pattern. With cost and physical compute/storage limitations largely lifted, data engineers started to optimize data pipeline architecture for speed and agility.

Data Pipeline 52

Data Pipeline Architecture Data Lake Data Warehouse 52

Knowledge Hut

MARCH 26, 2024

Cloud Computing Expertise: Modern Enterprise Architects need to be cloud-savvy, understanding different service models (IaaS, PaaS, SaaS), securing cloud environments, and navigating multi-cloud and hybrid setups. They can also optimize resources and integrate cloud services seamlessly with existing infrastructure.

Business Analyst 52

Business Analyst Certification Portfolio Amazon Web Services 52

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 Engineer 52

Data Engineer Data Engineering Engineering MongoDB 52

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? Microsoft learning platform: Azure data engineering training is officially documented by Microsoft.

Certification 52

Certification Data Engineer Data Engineering Engineering 52

Snowflake

JULY 22, 2024

A three-phase approach to expanding data platform capabilities Enterprises may face a slowdown in their data platform maturity journey after migrating their legacy data systems to a cloud-based data platform, especially when using a lift-and-shift approach.

Government 96

Government Cloud Data Hadoop 96

Snowflake

NOVEMBER 11, 2024

Data and AI architecture matter “Before focusing on AI/ML use cases such as hyper personalization and fraud prevention, it is important that the data and data architecture are organized and structured in a way which meets the requirements and standards of the local regulators around the world.

Banking 74

Banking Finance Retail Food 74

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. Hybrid matters!

Kafka 83

Kafka SQL ETL Tools Architecture 83

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 Engineer Data Engineering 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 Engineer Data Engineering Data 52