Knowledge Hut

JANUARY 9, 2024

Additionally, students learn about service and deployment models, SLAs, economic models, cloud security, enabling technologies, popular cloud stacks, and their use cases. Project 3 – Understanding Cloud Storage In this project, students delve into the capabilities and limitations of cloud storage technologies.

Cloud Computing 52

Cloud Computing Cloud Amazon Web Services Cloud Storage 52

phData: Data Engineering

AUGUST 4, 2023

Data storage is a vital aspect of any Snowflake Data Cloud database. Within Snowflake, data can either be stored locally or accessed from other cloud storage systems. What are the Different Storage Layers Available in Snowflake? They are flexible, secure, and provide exceptional performance.

Cloud Storage 52

Cloud Storage Google Cloud Amazon Web Services Data Storage 52

AltexSoft

FEBRUARY 11, 2023

It serves as a foundation for the entire data management strategy and consists of multiple components including data pipelines; , on-premises and cloud storage facilities – data lakes , data warehouses , data hubs ;, data streaming and Big Data analytics solutions ( Hadoop , Spark , Kafka , etc.);

Data Architect 87

Data Architect Certification Generalist Big Data 87

Knowledge Hut

DECEMBER 4, 2023

Data Storage and Management – Select an appropriate cloud storage solution for data availability and security. which you can explore. Serverless Computing – Serverless architecture boosts event-based and cost-effective approaches. Monitoring – Set up tools to gain visibility and resolve issues actively.

Cloud Computing 52

Cloud Computing Cloud Google Cloud AWS 52

Rockset

MAY 24, 2021

Monitoring infrastructure and software: You will need to develop or purchase software to help track the usage, storage and compute of your databases. That way you’ll know when you need to scale up or optimize your code. Troubleshooting: You will need to fix and troubleshoot issues that arise with the underlying database.

Database 40

Database Google Cloud AWS Cloud Storage 40

Edureka

OCTOBER 8, 2024

JavaScript: One of the core languages used for coding interactivity into a site, where a developer can use it to create dynamic and responsive user interfaces. lay out a structured way to develop backend applications, ensuring that code is clean, scalable, and maintainable. Frameworks/libraries: Streamline the development process.

MongoDB 40

MongoDB NoSQL MySQL PostgreSQL 40

ProjectPro

JANUARY 19, 2022

Here are some role-specific skills you should consider to become an Azure data engineer- Most data storage and processing systems use programming languages. Relational and non-relational databases are among the most common data storage methods. The final step is to publish your work.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Storage 52

Knowledge Hut

SEPTEMBER 26, 2023

Whether your data is structured, like traditional relational databases, or unstructured, such as textual data, images, or log files, Azure Synapse can manage it effectively. Version Control: Databricks offers built-in version control, simplifying the process of tracking changes to code and data.

Data Lake 52

Data Lake Database-centric Machine Learning Pipeline-centric 52

Knowledge Hut

APRIL 12, 2023

Azure provides you with a multitude of tools and services, including: Virtual machines: It provides you with virtual machines that can be used to run applications and services on the cloud. Storage: With Azure, you get several storage options, including blob storage, file storage, and disk storage.

Cloud Computing 52

Cloud Computing Amazon Web Services Certification Cloud 52

Netflix Tech

DECEMBER 14, 2018

However, schemas are implicit in a schemaless system as the code that reads the data needs to account for the structure and the variations in the data (“schema-on-read”). NMDB leverages a cloud storage service (e.g., AWS S3 service ) to which a client first uploads the Media Document instance data.

Media 97

Media Database Metadata Data Schemas 97

ProjectPro

JULY 30, 2021

Communication with Applications happens over API calls advised by the Cloud provider—for example, Google Drive. PAAS - PaaS provides enterprises with a platform where they could deploy their code and applications. PaaS packages the platform for development and testing along with data, storage, and computing capability.

Cloud Computing 40

Cloud Computing Cloud Amazon Web Services AWS 40

Edureka

AUGUST 2, 2023

Here are some recommendations to help you begin your Java project : Install Java Development Kit (JDK): You must have the JDK installed on your computer before you can begin writing Java code. Prior to beginning any coding, preparation is essential. begin coding: Start carrying out your project in accordance with your plan.

Java 52

Java Project Programming Coding 52

Knowledge Hut

NOVEMBER 2, 2023

Simple Storage Service Amazon AWS provides S3 or Simple Storage Service that can be used for sharing large files or small files to large audiences online. AWS provides cloud storage for your use that offers scalability for file sharing. It also offers NoSQL databases with the help of Amazon DynamoDB.

Amazon Web Services 52

Amazon Web Services AWS IT Transportation 52

ProjectPro

DECEMBER 7, 2021

Data sources may include relational databases or data from SaaS (software-as-a-service) tools like Salesforce and HubSpot. You also have to write codes to handle exceptions to ensure data continuity and prevent data loss. In most cases, data is synchronized in real-time at scheduled intervals.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

ProjectPro

AUGUST 11, 2021

The data warehouse layer consists of the relational database management system (RDBMS) that contains the cleaned data and the metadata, which is data about the data. Explore solved end-to-end Big Data projects with reusable code, guided videos, downloadable datasets, and documentation to help you through your learning journey.

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

ProjectPro

FEBRUARY 16, 2023

Data engineers are responsible for these data integration and ELT tasks, where the initial step requires extracting data from different types of databases/files, such as RDBMS, flat files, etc. SQL in Big Data SQL is not just limited to data warehousing and traditional relational database management systems (RDBMS).

Data Engineering 52

Data Engineering Data Engineer SQL Engineering 52

ProjectPro

MAY 31, 2021

Services: Cloud Composer, Google Cloud Storage (GCS), Pub-Sub, Cloud Functions, BigQuery, BigTable Big Data Project with Source Code: Build a Scalable Event-Based GCP Data Pipeline using DataFlow 2. Big Data Project using Hadoop with Source Code for Web Server Log Processing 5.

Big Data 52

Big Data Coding Project Hadoop 52

AltexSoft

JULY 29, 2022

The third version of the framework supports erasure coding — the fifty-year-old method which appeared to be smart enough for new-age technologies. Erasure coding cuts the disk usage by half if compared to the triple replication and saves customers money on the hardware infrastructure. There are other HaaS vendors as well.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59