AltexSoft

MARCH 30, 2023

To dive deeper into details, read our article Data Lakehouse: Concept, Key Features, and Architecture Layers. The lakehouse platform was founded by the creators of Apache Spark , a processing engine for big data workloads. Besides that, it’s fully compatible with various data ingestion and ETL tools.

Scala 64

Scala Data Lake BI Machine Learning 64

Knowledge Hut

NOVEMBER 17, 2023

As Azure Data Engineers, they'll be responsible for creating and looking after solutions that use data to help the company. They enhance data pipelines, transform data, and guarantee the accuracy, integrity, and compliance of the data. Azure Data Factory stands at the forefront, orchestrating data workflows.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Edureka

JULY 4, 2024

It’s a Swiss Army knife for data pros, merging data integration, warehousing, and big data analytics into one sleek package. In other words, Synapse lets users ingest, prepare, manage, and serve data for immediate BI and machine learning needs. Is Azure Synapse an ETL tool? Are you ready?

Data Lake 40

Data Lake Pipeline-centric Data Warehouse ETL Tools 40

Knowledge Hut

NOVEMBER 17, 2023

You must be able to create ETL pipelines using tools like Azure Data Factory and write custom code to extract and transform data if you want to succeed as an Azure Data Engineer. Data engineers must therefore have a thorough understanding of programming languages like Python, Java, or Scala.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 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.

Data Engineering 52

Data Engineering Data Engineer Engineering Cloud Computing 52

Knowledge Hut

NOVEMBER 28, 2023

Data Engineers are professionals who bridge the gap between the working capacity of software engineering and programming. They are people equipped with advanced analytical skills, robust programming skills, statistical knowledge, and a clear understanding of big data technologies. Technical Data Engineer Skills 1.Python

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

ProjectPro

DECEMBER 7, 2021

Data pipelines are a significant part of the big data domain, and every professional working or willing to work in this field must have extensive knowledge of them. Table of Contents What is a Data Pipeline? The Importance of a Data Pipeline What is an ETL Data Pipeline? What is a Big Data Pipeline?

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

ProjectPro

JANUARY 19, 2022

Read this blog till the end to learn more about the roles and responsibilities, necessary skillsets, average salaries, and various important certifications that will help you build a successful career as an Azure Data Engineer. The big data industry is flourishing, particularly in light of the pandemic's rapid digitalization.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Storage 52

Towards Data Science

APRIL 6, 2023

And, when it comes to data engineering solutions, it’s no different: They have databases, ETL tools, streaming platforms, and so on — a set of tools that makes our life easier (as long as you pay for them). So, join me on this post to develop a full data pipeline from scratch using some pieces from the AWS toolset.

Data Pipeline 98

Data Pipeline AWS Amazon Web Services Python 98

ProjectPro

FEBRUARY 21, 2023

They also demonstrate to potential employers that the individual possesses the skills and knowledge to create and implement business data strategies. But with several big data certifications available in the market, it often gets confusing for data engineers to pick the right one for themselves. Don’t worry!

Certification 52

Certification Data Engineering Data Engineer Engineering 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

ProjectPro

JULY 27, 2021

In this blog, we have collated the frequently asked data engineer interview questions based on tools and technologies that are highly useful for a data engineer in the Big Data industry. that leverage big data analytics and tools.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

AltexSoft

AUGUST 29, 2023

It is a versatile platform for exploring, refining, and analyzing petabytes of information that continually flow in from various data sources. Who needs a data lake? If the intricacies of big data are becoming too much for your existing systems to handle, a data lake might be the solution you’re seeking.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52