ProjectPro

FEBRUARY 21, 2023

Vendor-Specific Data Engineering Certifications The vendor-specific data engineer certifications help you enhance your knowledge and skills relevant to specific vendors, such as Azure, Google Cloud Platform, AWS, and other cloud service vendors. The rest of the exam details are the same as the DP-900 exam.

Certification 52

Certification Data Engineering Data Engineer Engineering 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.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

ProjectPro

JULY 30, 2021

Why Learn Cloud Computing Skills? The job market in cloud computing is growing every day at a rapid pace. A quick search on Linkedin shows there are over 30000 freshers jobs in Cloud Computing and over 60000 senior-level cloud computing job roles. What is Cloud Computing?

Cloud Computing 40

Cloud Computing Cloud Amazon Web Services AWS 40

Knowledge Hut

MARCH 20, 2024

Data Engineer The design, building, and management of the data infrastructure that underpins data-driven applications are the responsibilities of a data engineer. Assembles, processes, and stores data via data pipelines that are created and maintained.

Software Engineer 52

Software Engineer Software Engineering Engineering Java 52

Knowledge Hut

MARCH 19, 2024

The case study on AWS in Cloud Computing provided and its use cases mentioned: Elastic Compute Cloud (EC2) Use Cases Amazon Elastic Compute Cloud (EC2) enables you to quickly spin up virtual computers with no initial expenditure and no need for a significant hardware investment.

AWS 52

AWS Amazon Web Services Hospitality Cloud Computing 52

Knowledge Hut

JULY 24, 2023

Get ready to discover fascinating insights, uncover mind-boggling facts, and explore the transformative potential of cutting-edge technologies like blockchain, cloud computing, and artificial intelligence. As a result, several sectors are making a lot of effort to strengthen data security safeguards.

Database 52

Database NoSQL Management Relational Database 52

Knowledge Hut

DECEMBER 22, 2023

Statistics are used by data scientists to collect, assess, analyze, and derive conclusions from data, as well as to apply quantifiable mathematical models to relevant variables. Microsoft Excel An effective Excel spreadsheet will arrange unstructured data into a legible format, making it simpler to glean insights that can be used.

Hadoop 98

Hadoop Deep Learning Data Science Machine Learning 98

Edureka

FEBRUARY 9, 2023

Familiarity with cloud-based analytics and big data tools A desirable skill for an Azure Data Engineer is familiarity with big data and cloud-based analytics tools. The popular big data and cloud computing tools Apache Spark , Apache Hive, and Apache Storm are among these.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Monte Carlo

JUNE 14, 2023

Some organizations choose to still leverage an ETL pattern in the cloud, particularly for production pipelines where data contracts can help reduce data downtime. The term modern data stack refers to the multiple modular SaaS solutions that comprise the data platform and pipeline (more on those later).

Data Pipeline 52

Data Pipeline Architecture Data Lake Data Warehouse 52

Knowledge Hut

MARCH 27, 2024

Qubole Using ad-hoc analysis in machine learning, it fetches data from a value chain using open-source technology for big data analytics. Qubole provides end-to-end services in moving data pipelines with reduced time and effort. Configure Azure, AWS, and Google Cloud services simultaneously.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

Knowledge Hut

FEBRUARY 7, 2023

Data Science on Google cloud platform Google Cloud is one of the best data science learning platforms. It offers all of the tools data scientists need to unlock value from data. Google enables users to get Google Cloud hosting at the cheapest rates.

Data Science 52

Data Science Google Cloud Programming Language AWS 52

Confluent

MARCH 4, 2019

But to perform all this experimentation; companies cannot wait weeks or even months for IT to get them the appropriate infrastructure so they can start innovating, hence why cloud computing is becoming a standard for new developments. But cloud alone doesn’t solve all the problems.

Cloud 88

Cloud Banking Kafka NoSQL 88

ProjectPro

AUGUST 24, 2021

Thus, as a learner, your goal should be to work on projects that help you explore structured and unstructured data in different formats. Data Warehousing: Data warehousing utilizes and builds a warehouse for storing data. A data engineer interacts with this warehouse almost on an everyday basis.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

U-Next

SEPTEMBER 12, 2022

The fields like Data Science, Data Analytics, Cloud computing, and the internet of things (IoT) have seen a boost in productivity. . . What Is Cloud Computing? . Self-service is crucial to cloud computing since it allows users to quickly and easily get started by filling out a web form. .

Cloud Computing 52

Cloud Computing Cloud Amazon Web Services Banking 52

ProjectPro

OCTOBER 20, 2021

This would include the automation of a standard machine learning workflow which would include the steps of Gathering the data Preparing the Data Training Evaluation Testing Deployment and Prediction This includes the automation of tasks such as Hyperparameter Optimization, Model Selection, and Feature Selection.

Machine Learning 52

Machine Learning Algorithm Government Data Science 52

ProjectPro

JULY 27, 2021

Top 100+ Data Engineer Interview Questions and Answers The following sections consist of the top 100+ data engineer interview questions divided based on big data fundamentals, big data tools/technologies, and big data cloud computing platforms. SQL works on data arranged in a predefined schema.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

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. Understand the reason behind this drift by working on one of our repository's most practical data engineering project examples. How Big Data Works?

Big Data 52

Big Data Coding Project Hadoop 52

Monte Carlo

AUGUST 19, 2023

Firebolt – A SQL-based cloud data warehouse that claims its performance is up to 182 times faster than other options, as the warehouse handles data in a lighter way thanks to new techniques for compression and data parsing.

Building 52

Building BI Data Lake Data Governance 52