Knowledge Hut

MARCH 19, 2024

AWS, which stands for Amazon Web Services, is a range of cloud computing services, including services for computing power, storage, and databases. Lambda usage includes real-time data processing, communication with IoT devices, and execution of automated tasks. What is AWS?

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AWS Cloud Computing Amazon Web Services Relational Database 52

DareData

JANUARY 30, 2023

Our goal is to help data scientists better manage their models deployments or work more effectively with their data engineering counterparts, ensuring their models are deployed and maintained in a robust and reliable way. Airflow is written in Python and has a web-based user interface for managing and monitoring pipelines.

Data Engineering 52

Data Engineering Data Engineer NoSQL Engineering 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. It is also crucial to have experience with data ingestion and transformation.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

AltexSoft

AUGUST 29, 2023

Data sources In a data lake architecture, the data journey starts at the source. Data sources can be broadly classified into three categories. Structured data sources. These are the most organized forms of data, often originating from relational databases and tables where the structure is clearly defined.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

U-Next

OCTOBER 27, 2022

Accessing servers, storage, databases, and a wide range of application services via the internet is made simple by cloud computing. Data ingestion capability . What Distinctions Exist Between Dynamodb, Amazon Rds, and Redshift? . Using Amazon RDS, you can manage relational databases.

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AWS Amazon Web Services Cloud Computing Cloud 40

ProjectPro

FEBRUARY 8, 2023

This serverless data integration service can automatically and quickly discover structured or unstructured enterprise data when stored in data lakes in Amazon S3, data warehouses in Amazon Redshift, and other databases that are a component of the Amazon Relational Database Service.

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AWS Scala Metadata Data Lake 98

ProjectPro

JANUARY 19, 2022

Depending on the type of database a data engineer is working with, they will use specific software. Below, we mention a few popular databases and the different softwares used for them. The three most popular cloud service providing platforms are Google Cloud Platform, Amazon Web Services, and Microsoft Azure.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52