Knowledge Hut

JUNE 23, 2023

Go for the best courses for Data Engineering and polish your big data engineer skills to take up the following responsibilities: You should have a systematic approach to creating and working on various data architectures necessary for storing, processing, and analyzing large amounts of data.

Data Engineering 52

Data Engineering Data Engineer Engineering NoSQL 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.

Certification 52

Certification Data Engineering Data Engineer Engineering 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. Supports complex nested data structures.

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

Databand.ai

DECEMBER 13, 2022

He also has more than 10 years of experience in big data, being among the few data engineers to work on Hadoop Big Data Analytics prior to the adoption of public cloud providers like AWS, Azure, and Google Cloud Platform. He is also an AWS Certified Solutions Architect and AWS Certified Big Data expert.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 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. Some popular services include: Amazon S3: A highly scalable and durable object storage service.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 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. Figure 2: Example data pipeline with DataOps automation. A DataOps implementation project consists of three steps.

Engineering 61

Engineering Business Analyst BI Metadata 61

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 Engineering 52

Data Engineering Data Engineer Engineering Hadoop 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. However, its primary focus is on data warehousing and analytics.

Data Lake 52

Data Lake Database-centric Pipeline-centric Machine Learning 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 Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

ProjectPro

JANUARY 19, 2022

This indicates that Microsoft Azure Data Engineers are in high demand. Azure's usage graph grows every year, bringing it closer to AWS. These companies are migrating their data and servers from on-premises to Azure Cloud. A data engineer should be aware of how the data landscape is changing.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Storage 52

ProjectPro

MAY 31, 2021

Learnings from the Project: This project will introduce you to various applications of AWS services. You will be implementing this project solution in Code Build. The project involves generating PySpark scripts and utilizing the AWS cloud to benefit from a Big Data architecture (EC2, S3, IAM) built on an EC2 Linux server.

Big Data 52

Big Data Coding Project Hadoop 52

Precisely

JANUARY 6, 2025

Customers expect immediate responses and personalized interactions, and streaming data architectures help you meet these expectations. Integrated and scalable architectures drive business agility. Thats where the concept of data streaming pipelines comes into play.

Data Architecture 59

Data Architecture Architecture Pipeline-centric Banking 59