ProjectPro

JANUARY 19, 2022

Experience with using cloud services providing platforms like AWS/GCP/Azure. Knowledge of popular big data tools like Apache Spark, Apache Hadoop, etc. The three most popular cloud service providing platforms are Google Cloud Platform, Amazon Web Services, and Microsoft Azure.

Data Engineer 52

Data Engineer Data Engineering Engineering Amazon Web Services 52

Edureka

FEBRUARY 9, 2023

Skills For Azure Data Engineer Resumes Here are examples of popular skills from Azure Data Engineer Hadoop: An open-source software framework called Hadoop is used to store and process large amounts of data on a cluster of inexpensive servers.

Data Engineer 52

Data Engineer Data Engineering Engineering Amazon Web Services 52

Knowledge Hut

MARCH 20, 2024

Data engineers must know about big data technologies like Hive, Spark, and Hadoop. They work together with the development and operations teams to create cloud infrastructures that are affordable, secure, and scalable to meet the needs of enterprises. They build and manage cloud-based apps by utilizing these providers' abilities.

Software Engineering 52

Software Engineering Software Engineer Engineering Java 52

ProjectPro

JULY 30, 2021

What are the platforms that use Cloud Computing? Map-reduce - Map-reduce enables users to use resizable Hadoop clusters within Amazon infrastructure. Amazon’s counterpart of this is called Amazon EMR ( Elastic Map-Reduce) Hadoop - Hadoop allows clustering of hardware to analyse large sets of data in parallel.

Cloud Computing 40

Cloud Computing Cloud Amazon Web Services AWS 40

Knowledge Hut

NOVEMBER 28, 2023

Cloud Engineer These developers design, build and maintain cloud-based systems and infrastructure. They typically have experience with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).

Programming Language 52

Programming Language Amazon Web Services Computer Science Software Engineering 52

Knowledge Hut

MARCH 28, 2024

Role Level: Intermediate Responsibilities Design and develop big data solutions using Azure services like Azure HDInsight, Azure Databricks, and Azure Data Lake Storage. Education & Skills Required Using technologies such as Hadoop, Kafka, and Spark. Experience with Azure services for big data processing and analytics.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Warehouse 52

Knowledge Hut

APRIL 20, 2023

IBM Security, Cisco, Amazon Web Services (AWS), Microsoft, Google, Accenture Security, Deloitte, Booz Allen Hamilton, Northrop Grumman, and Raytheon are among the high-profile organizations that have boosted their recruiting in cyber security.

Data Science 52

Data Science Computer Science Healthcare Recruitment 52

Monte Carlo

JUNE 14, 2023

5 Data pipeline architecture designs and their evolution The Hadoop era , roughly 2011 to 2017, arguably ushered in big data processing capabilities to mainstream organizations. Dataform – Now part of the Google Cloud , Dataform allows you to transform raw data from your warehouse into something usable by BI and analytics tools.

Data Pipeline 52

Data Pipeline Architecture Data Lake Data Warehouse 52

ProjectPro

AUGUST 24, 2021

Source Code: Event Data Analysis using AWS ELK Stack 5) Data Ingestion This project involves data ingestion and processing pipeline with real-time streaming and batch loads on the Google cloud platform (GCP). Create a service account on GCP and download Google Cloud SDK(Software developer kit).

Data Engineer 52

Data Engineer Data Engineering Coding Project 52

ProjectPro

JANUARY 31, 2022

Snowflake is not based on existing database systems or big data software platforms like Hadoop. On the other hand, Snowflake integrates an entirely new SQL query engine with unique cloud-native architecture. Amazon Web Services , Google Cloud Platform, and Microsoft Azure support Snowflake.

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

U-Next

JULY 2, 2022

Hence, they cover almost everything in the field, making it a vital cloud engineering skill. Amazon Web Services (AWS), Microsoft Azure, and IBM Cloud are the top players in the cloud computing market. The choice of one or more cloud engineer skills would depend on the business needs and the requirements.

Cloud 40

Cloud Engineering Cloud Computing Amazon Web Services 40

ProjectPro

AUGUST 31, 2018

Research firm Gartner published a document stating that Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform, and IBM Cloud are innovative tech giants that provide highly cost-competitive alternatives to conventional on-premises hosting infrastructures.

AWS 45

AWS Cloud Amazon Web Services Cloud Computing 45

ProjectPro

AUGUST 18, 2021

The products available in the Tableau family are Tableau Server Tableau Desktop Tableau Reader Tableau Online Tableau Public Ace your Big Data engineer interview by working on unique end-to-end solved Big Data Projects using Hadoop 8. What are discrete and continuous data in Tableau? Tableau helps represent data in two different forms.

BI 40

BI SQL Database-centric Software Engineering 40

Knowledge Hut

DECEMBER 22, 2023

This person may work with architects who design cloud infrastructure on networking or cloud teams. Who is a Cloud Network Engineer? A Professional Cloud Network Engineer works closely with Google Cloud's network architecture team to design, implement, and manage cloud networks.

Cloud 52

Cloud Engineering Amazon Web Services Google Cloud 52

ProjectPro

MAY 31, 2021

This project will teach you how to design and implement an event-based data integration pipeline on the Google Cloud Platform by processing data using DataFlow. The Apache Hadoop open source big data project ecosystem with tools such as Pig, Impala, Hive, Spark, Kafka Oozie, and HDFS can be used for storage and processing.

Big Data 52

Big Data Coding Project Hadoop 52