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

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

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 87

Cloud Banking Kafka NoSQL 87

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. The easy-to-pay feature enables users to pay only for consumed services. can take up lots of memory 3.

Data Science 52

Data Science Google Cloud Programming Language AWS 52

ProjectPro

AUGUST 24, 2021

They are also often expected to prepare their dataset by web scraping with the help of various APIs. 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.

Data Engineering 52

Data Engineering Data Engineer Coding Project 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

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

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.

Big Data 52

Big Data Coding Project Hadoop 52

Monte Carlo

AUGUST 19, 2023

Google BigQuery – Google’s cloud warehouse, BigQuery, provides a serverless architecture that allows for quick querying due to parallel processing, as well as separate storage and compare for scalable processing and memory.

Building 52

Building BI Data Lake Data Governance 52