ProjectPro

JUNE 6, 2025

Kafka's popularity is skyrocketing, and for good reason—it helps organizations manage real-time data streams and build scalable data architectures. Learning how to connect Kafka with databases, Hadoop, Spark, or Flink will expand your knowledge of how Kafka is used in complex data pipelines.

Kafka 40

Kafka Certification AWS Retail 40

Cloudera

SEPTEMBER 26, 2023

IBM and Cloudera’s common goal is to accelerate data-driven decision making for enterprise customers, working on defining and executing the best solution for each customer. You can now elevate your data potential and activate AI’s capabilities through the synergic integration between IBM watsonx and Cloudera.

Kafka 95

Kafka Technology IT Government 95

Edureka

APRIL 9, 2025

Development of Some Relevant Skills and Knowledge Data Engineering Fundamentals: Theoretical knowledge of data loading patterns, data architectures, and orchestration processes. Data Analytics: Capability to effectively use tools and techniques for analyzing data and drawing insights.

Engineering 40

Engineering Data Ingestion Data Lake Programming Language 40

ProjectPro

JUNE 6, 2025

As businesses continue to recognize the value of efficient data management, the demand for certified data engineers has surged. These roles typically involve working with large-scale data solutions, implementing data pipelines, and optimizing data architectures for performance and scalability.

Data Engineer 40

Data Engineer Data Engineering Google Cloud Engineering 40

ProjectPro

JUNE 6, 2025

The cloud is the only platform to handle today's colossal data volumes because of its flexibility and scalability. Launched in 2014, Snowflake is one of the most popular cloud data solutions on the market. Snowflake is a data warehousing platform that runs on the cloud.

Architecture 40

Architecture IT Data Warehouse Amazon Web Services 40

AltexSoft

FEBRUARY 11, 2023

To get a better understanding of a data architect’s role, let’s clear up what data architecture is. Data architecture is the organization and design of how data is collected, transformed, integrated, stored, and used by a company. What is the main difference between a data architect and a data engineer?

Data Architect 87

Data Architect Certification Generalist Big Data 87

ProjectPro

JUNE 6, 2025

." - David Linthicum, Chief Cloud Strategy Officer at Deloitte Consulting LLP Data modelers are big data experts and systems analysts who design database architectures and propose innovative data solutions to transform complex business data into usable computer systems. What does a Data Modeler do?

NoSQL 40

NoSQL ETL Tools SQL Certification 40

Edureka

APRIL 14, 2025

Designed for data engineers and developers, it features pipelines, lakehouses, notebooks, and SQL environments—requiring a stronger grasp of data architecture. Flexibility and Customization Fabric allows for extensive backend customization, including notebooks and tailored data pipelines.

BI 40

BI Business Intelligence Raw Data Retail 40

Knowledge Hut

MARCH 28, 2024

Azure Data Engineer Career Demands & Benefits Azure has become one of the most powerful platforms in the industry, where Microsoft offers a variety of data services and analytics tools. As a result, organizations are looking to capitalize on cloud-based data solutions.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Warehouse 52

Ascend.io

OCTOBER 8, 2024

Data engineering is the backbone of any data-driven organization, responsible for building and maintaining the infrastructure that supports data collection, storage, and analysis. Traditionally, data engineers have focused on the technical aspects of data management, ensuring data pipelines run smoothly and efficiently.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Architecture 52

Knowledge Hut

MARCH 20, 2024

Speaking from experience, the data engineers in this role are right in the thick of it all. From start to finish, Azure data engineer roles and responsibilities revolve around designing, implementing, and managing data solutions specifically tailored for the Azure platform. Who is Azure Data Engineer?

Data Engineer 52

Data Engineer Data Engineering Engineering Certification 52

Knowledge Hut

MARCH 15, 2024

Speaking from experience, the data engineers in this role are right in the thick of it all. From start to finish, Azure data engineer roles and responsibilities revolve around designing, implementing, and managing data solutions specifically tailored for the Azure platform. Who is Azure Data Engineer?

Data Engineer 52

Data Engineer Data Engineering Engineering Certification 52

Knowledge Hut

NOVEMBER 17, 2023

Azure Data Engineers play an important role in building efficient, secure, and intelligent data solutions on Microsoft Azure's powerful platform. The position of Azure Data Engineers is becoming increasingly important as businesses attempt to use the power of data for strategic decision-making and innovation.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Lake 52

Precisely

MARCH 14, 2023

Then, data clouds from providers like Snowflake and Databricks made deploying and managing enterprise-grade data solutions much simpler and more cost-effective. Now, almost any company can build a solid, cost-effective data analytics or BI practice grounded in these new cloud platforms.

Data Integration 52

Data Integration High Quality Data BI Data 52

ProjectPro

JUNE 6, 2025

If you are wondering whether you are the right fit for this certification, here’s a list of ideal candidates- Candidates enthusiastic about working with data and cloud data solutions. Business analysts, decision makers and managers who want to learn how Azure Data Services can be used for better business decision making.

Certification 45

Certification Google Cloud Data Lake SQL 45

Knowledge Hut

NOVEMBER 17, 2023

An Azure Data Engineer locates and resolves difficult data-related issues, enhances the performance and scalability of data solutions, and works cooperatively with other teams to develop solutions. The main duties of an Azure Data Engineer are planning, developing, deploying, and managing the data pipelines.

Data Engineer 52

Data Engineer Data Engineering Engineering Scala 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. The final step is designing a data solution and its implementation. The biggest challenge is broken data pipelines due to highly manual processes. List of Challenges.

Engineering 61

Engineering Business Analyst BI Metadata 61

ProjectPro

JUNE 6, 2025

After passing the AI-102 exam, you can continue following the Microsoft Azure certifications path by taking the DP-203 : Microsoft Azure Data Engineer Associate exam, which will test your skills in designing, developing, and managing data solutions on Azure.

Certification 40

Certification Cloud Cloud Computing SQL 40

ProjectPro

JUNE 6, 2025

Below are a few reasons you should consider following the Google Cloud Certification path and adding the valuable GCP certifications to your resume- Showcase Your Skills And Knowledge- Google Cloud Certifications are recognized credentials that showcase your skills and knowledge in various cloud data-related topics.

Google Cloud 40

Google Cloud Certification Cloud Cloud Computing 40

Knowledge Hut

SEPTEMBER 22, 2023

What is Microsoft Azure Data Engineer Certification? The Azure Data Engineering Certificate is designed for data engineers and developers who wish to show that they are experts at creating and implementing data solutions using Microsoft Azure data services.

Certification 52

Certification Data Engineer Data Engineering Engineering 52

Knowledge Hut

JULY 5, 2024

Cloud Era: Cloud platforms like AWS and Azure took center stage, making sophisticated data solutions accessible to all. Modern Landscape: Today, Data Engineering involves slick ETL processes, real-time streaming, and the concept of data lakes, shaping the backbone of our data-driven world.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Cleanse 52

Knowledge Hut

JUNE 30, 2023

The essential theories, procedures, and equipment for creating trustworthy and effective data systems are covered in this book. It explores subjects including data modeling, data pipelines, data integration, and data quality, offering helpful advice on organizing and implementing reliable data solutions.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Warehouse 52

Cloud Academy

JANUARY 27, 2022

Part of the Data Engineer’s role is to figure out how to best present huge amounts of different data sets in a way that an analyst, scientist, or product manager can analyze. What does a data engineer do? A data engineer is an engineer who creates solutions from raw data. What is Big Data Engineering?

Certification 52

Certification Data Engineer Data Engineering Engineering 52

ProjectPro

JUNE 6, 2025

A data engineer should be aware of how the data landscape is changing. They should also be mindful of how data systems have evolved and benefited data professionals. Explore the distinctions between on-premises and cloud data solutions. Different methods are used to store different types of data.

Data Engineer 40

Data Engineer Data Engineering Engineering Certification 40

ProjectPro

JANUARY 19, 2022

A data engineer should be aware of how the data landscape is changing. They should also be mindful of how data systems have evolved and benefited data professionals. Explore the distinctions between on-premises and cloud data solutions. Different methods are used to store different types of data.

Data Engineer 52

Data Engineer Data Engineering Engineering Certification 52

Ascend.io

NOVEMBER 21, 2023

The emergence of cloud data warehouses, offering scalable and cost-effective data storage and processing capabilities, initiated a pivotal shift in data management methodologies. Flexibility: With ELT, data is stored in its raw form and transformed as needed. Cost-Effectiveness: Consider the total cost of ownership.

Raw Data 52

Raw Data Data Warehouse Data Cleanse NoSQL 52

Knowledge Hut

OCTOBER 3, 2023

Additionally, for a job in data engineering, candidates should have actual experience with distributed systems, data pipelines, and related database concepts. Azure Data Engineer Bootcamps: Consider enrolling in intensive bootcamp programs offered by training providers.

Data Engineer 52

Data Engineer Data Engineering Engineering Cloud Computing 52

Knowledge Hut

MARCH 22, 2024

Cloud Data Architect A cloud data architect designs, builds and manages data solutions on cloud platforms like AWS, Azure, or GCP. They play a crucial role in ensuring data security, scalability, and performance, enabling organizations to leverage their data effectively for informed decision-making.

AWS 52

AWS Amazon Web Services Cloud Computing Google Cloud 52

Databand.ai

DECEMBER 13, 2022

We’d be remiss not to share that Joseph was a recent guest on Databand’s MAD Data Podcast , where he discussed ways to keep data systems from becoming unwieldy and shared tips for data teams to manage their data warehouses and keep data pipelines running reliably. You can also watch the video recording.

Data Engineer 52

Data Engineer Data Engineering Engineering AWS 52

Knowledge Hut

SEPTEMBER 26, 2023

Data engineers and data scientists can seamlessly transition from data exploration to model development and deployment, all within the same platform. This cohesive experience promotes productivity and accelerates the development of data solutions.

Data Lake 52

Data Lake Database-centric Pipeline-centric Machine Learning 52

ProjectPro

JANUARY 31, 2022

The cloud is the only platform to handle today's colossal data volumes because of its flexibility and scalability. Launched in 2014, Snowflake is one of the most popular cloud data solutions on the market. Snowflake is a data warehousing platform that runs on the cloud.

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

Edureka

FEBRUARY 9, 2023

As the demand for data engineers grows, having a well-written resume that stands out from the crowd is critical. Azure data engineers are essential in the design, implementation, and upkeep of cloud-based data solutions. SQL is also an essential skill for Azure Data Engineers.

Data Engineer 52

Data Engineer Data Engineering Engineering Amazon Web Services 52

Edureka

MAY 27, 2025

In today’s data-driven world, the role of an AWS Data Engineer is more important than ever! Organizations are on the lookout for talented professionals who can design, build, and maintain strong data pipelines and infrastructure on the Amazon Web Services (AWS) platform.

AWS 40

AWS Data Engineer Data Engineering Engineering 40

Knowledge Hut

MARCH 28, 2024

Role level: Intermediate to experienced level Responsibilities Azure Data Engineers create and carry out scalable data architectures on the cloud, encompassing analytics, processing, and storage options. Azure Data Engineers maximize cost-effectiveness, scalability, and performance in data pipelines and queries.

Computer Science 52

Computer Science Cloud Computing Education Certification 52

Monte Carlo

NOVEMBER 22, 2024

You’re left wondering if there’s a breaking point where your DIY data solution won’t cut it anymore—and honestly, you might be there already. Here’s the thing: every successful startup hits this data-growing pain, and it’s actually a good sign. Once you’ve got the data flowing in, you need somewhere to put it.

Data Engineer 52

Data Engineer Data Engineering Engineering Building 52

ProjectPro

JUNE 6, 2025

Understand big data architecture and design principles Expertise with container tools such as Docker and Kubernetes Excellent leadership and communication skills AWS Cloud Network Engineer A cloud network engineer’s role is to plan, implement, and manage the day-to-day support and maintenance of network and core services.

AWS 40

AWS Cloud Computing Certification Programming Language 40

phData: Data Engineering

SEPTEMBER 27, 2024

It enables advanced analytics, makes debugging your marketing automations easier, provides natural audit trails for compliance, and allows for flexible, evolving customer data models. So next time you’re designing your customer data architecture in your CDP, don’t just think about the current state of your customers.

Data 52

Data Data Lake Raw Data Data Architecture 52