ProjectPro

JUNE 6, 2025

What are some popular use cases for cloud computing? Cloud storage - Storage over the internet through a web interface turned out to be a boon. With the advent of cloud storage, customers could only pay for the storage they used. These instances use their local storage to store data.

Cloud Computing

ProjectPro

JUNE 6, 2025

Deployment & Real-Time Monitoring: Deploy the solution on cloud platforms like AWS Lambda, Azure Functions, or Google Cloud Run for scalable processing. Use Graph-Based Search Algorithms (A)* and Dijkstra’s Algorithm for rapid path recalculations. Data Required for the Project Order History & Patterns (e.g.,

Data Science

Knowledge Hut

JULY 24, 2023

NoSQL Databases NoSQL databases are non-relational databases (that do not store data in rows or columns) more effective than conventional relational databases (databases that store information in a tabular format) in handling unstructured and semi-structured data. Examples include Amazon DynamoDB and Google Cloud Datastore.

Database

AltexSoft

MAY 12, 2023

Semi-structured data is typically stored in NoSQL databases, such as MongoDB, Cassandra, and Couchbase, following hierarchical or graph data models. There are several widely used unstructured data storage solutions such as data lakes (e.g., Amazon S3, Google Cloud Storage, Microsoft Azure Blob Storage), NoSQL databases (e.g.,

Unstructured Data

ProjectPro

JANUARY 24, 2023

Since its public release in 2011, BigQuery has been marketed as a unique analytics cloud data warehouse tool that requires no virtual machines or hardware resources. BigQuery is a highly scalable data warehouse platform with a built-in query engine offered by Google Cloud Platform. What is Google BigQuery Used for?

Bytes

ProjectPro

SEPTEMBER 6, 2021

So, are you ready to explore the differences between two cloud giants, AWS vs. google cloud? It developed and optimized everything from cloud storage, computing, IaaS, and PaaS. And that is one big reason it is the market leader and dominates other cloud technologies aggressively. Let’s get started!

AWS

Ascend.io

JUNE 22, 2023

Ascend’s platform is the first modern, cloud-based data pipeline automation tool capable of ingesting data from all major platforms and delivering it to MotherDuck (relational, NoSQL, event streams/queues, APIs and custom data sources). Next, build out connections to your sources and pipelines that deliver data to MotherDuck.

NoSQL

Rockset

MARCH 21, 2019

Function-as-a-Service frameworks, such as AWS Lambda, Azure Functions, and Google Cloud Functions, go quite far in realizing that vision for stateless applications, but the real challenge comes when applications need to deal with state.

SQL

Knowledge Hut

APRIL 25, 2023

These tools include both open-source and commercial options, as well as offerings from major cloud providers like AWS, Azure, and Google Cloud. Database management: Data engineers should be proficient in storing and managing data and working with different databases, including relational and NoSQL databases.

Data Engineering

AltexSoft

OCTOBER 21, 2022

popular SQL and NoSQL database management systems including Oracle, SQL Server, Postgres, MySQL, MongoDB, Cassandra, and more; cloud storage services — Amazon S3, Azure Blob, and Google Cloud Storage; message brokers such as ActiveMQ, IBM MQ, and RabbitMQ; Big Data processing systems like Hadoop ; and.

Kafka

Edureka

OCTOBER 10, 2024

Also integrated are the cloud-based databases, such as the Amazon RDS for Oracle and SQL Server and Google Big Query, to name but a few. NoSQL Stores: As source systems, Cassandra and MongoDB (including MongoDB Atlas), NoSQL databases are supported to make the integration of the unstructured data easy.

MongoDB

Rockset

MAY 24, 2021

Azure Data Lake: Microsoft's analytics platform and serverless data lake is offered through the company's public cloud, Azure. Google Cloud Storage: This RESTful cloud storage solution is offered through the Google Cloud Platform.

Database

ProjectPro

JULY 30, 2021

50 Cloud Computing Interview Questions and Answers f0r 2023 Knowing how to answer the most commonly asked cloud computing questions can increase your chances of landing your dream cloud computing job roles. What are some popular use cases for cloud computing? These instances use their local storage to store data.

Cloud Computing

Rockset

JUNE 7, 2021

Translating the commands from source to target can be tricky especially if you’re capturing changes to a SQL database and reflecting them in a NoSQL database, as the way commands are written are different. The system needs to deal with transactional systems where changes are only applied on commit.

IT

Christophe Blefari

AUGUST 4, 2023

FAQ and remarks Why do you use Google Cloud? My opinion on the matter is this: all clouds are born equal, you just have to find the one you're most comfortable with, or suffer your company's choices. this list can become infinite) Conclusion After this design exercice I have mix feeling.

Google Cloud

AltexSoft

JULY 29, 2022

On top of HDFS, the Hadoop ecosystem provides HBase , a NoSQL database designed to host large tables, with billions of rows and millions of columns. It lets you run MapReduce and Spark jobs on data kept in Google Cloud Storage (instead of HDFS); or. MongoDB: an NoSQL database with additional features.

Hadoop

Data Science Blog: Data Engineering

DECEMBER 23, 2022

Dazu gesellen sich Datenbanken wie der PostgreSQL, Maria DB oder Microsoft SQL Server sowie CosmosDB oder einfachere Cloud-Speicher wie der Microsoft Blobstorage, Amazon S3 oder Google Cloud Storage. Beispiele für verbreitete NoSQL-Datenbanken sind MongoDB, CouchDB, Cassandra oder Neo4J.

Data Engineering

Confluent

SEPTEMBER 20, 2019

Confluent Cloud, for example, provides out-of-the-box connectors so developers don’t need to spend time creating and maintaining their own. There are different connectors available, such as ActiveMQ, HDFS, JDBC, Salesforce, cloud storage (GCP, Azure, and AWS), IBM MQ, and RabbitMQ, to name a few.

Kafka