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Data Engineering Learning Path: A Complete Roadmap

Knowledge Hut

You can simultaneously work on your skills, knowledge, and experience and launch your career in data engineering. Soft Skills You should have the right verbal and written communication skills required for a data engineer. You should be able to work on complex projects and design and implement data solutions.

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Solutions Architect Job Roles in 2024 [Career Options]

Knowledge Hut

Extensive experience in enterprise architecture, solution design, and IT governance. Certifications Names: Cisco Certified Network Professional (CCNP) VMware Certified Professional (VCP) Microsoft Certified: Azure Solutions Architect Expert AWS Certified Solutions Architect - Associate CompTIA Server+ 6.

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Data Architect: Role Description, Skills, Certifications and When to Hire

AltexSoft

In the EU, the General Data Protection Regulation (GDPR) sets guidelines for collecting, storing, and processing personal information. This privacy law must be kept in mind when building data architecture. It defines metrics and best practices to ensure data quality as well as data privacy and security.

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Azure Data Engineer Salary – How Much Can You Expect As An Azure Data Engineer?

Edureka

In today’s technological environment, where data and cloud computing are becoming more and more significant, an Azure Data Engineer is extremely important. Azure Data Engineers are in high demand due to the growth of cloud-based data solutions. Who is an Azure Data Engineer?

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Top 16 Data Science Specializations of 2024 + Tips to Choose

Knowledge Hut

Types of Specializations in Data Science (Areas of Data Science) The fields of business, research, and government are all increasingly using data science. Learning Outcomes: You will understand the processes and technology necessary to operate large data warehouses.

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The Evolution of Customer Data Modeling: From Static Profiles to Dynamic Customer 360

phData: Data Engineering

. “ This sounds great in theory, but how does it work in practice with customer data or something like a ‘composable CDP’? Well, implementing transitional modeling does require a shift in how we think about and work with customer data. It often involves specialized databases designed to handle this kind of atomic, temporal data.

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Healthcare Big Data Projects, Applications and Examples

ProjectPro

Here begins the journey through big data in healthcare highlighting the prominently used applications of big data in healthcare industry. This data was mostly generated by various regulatory requirements, record keeping, compliance and patient care. trillion towards healthcare data solutions in the Healthcare industry.