Knowledge Hut

OCTOBER 27, 2023

Setting-Up Personal Home Cloud Setting-Up Personal Home Cloud project is an exciting software engineering project that requires a good understanding of hardware and software configurations, cloud storage solutions, and security measures.

Software Engineering 98

Software Engineering Software Engineer Coding Project 98

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 59

Unstructured Data NoSQL Hadoop Data Lake 59

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

ProjectPro

JUNE 6, 2025

In addition, to extract data from the eCommerce website, you need experts familiar with databases like MongoDB that store reviews of customers. Publish- Transform data in the cloud and send it to on-premises sources like SQL Server or store it in your cloud storage sources for BI and data analytics tools and other apps to use.

Data Pipeline 40

Data Pipeline Architecture Kafka Data Lake 40

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 93

Kafka Hadoop ETL Tools Java 93

Edureka

OCTOBER 10, 2024

NoSQL Stores: As source systems, Cassandra and MongoDB (including MongoDB Atlas), NoSQL databases are supported to make the integration of the unstructured data easy. File Systems: Data from several file systems, including FTP, SFTP, HDFS, and different cloud storages such as Amazon S3, Google cloud storage, etc.,

MongoDB 40

MongoDB NoSQL Metadata Cloud Storage 40

Knowledge Hut

FEBRUARY 2, 2024

Skills Required HTML, CSS, JavaScript or Python for Backend programming, Databases such as SQL, MongoDB, Git version control, JavaScript frameworks, etc. Cloud Computing Course As more and more businesses from various fields are starting to rely on digital data storage and database management, there is an increased need for storage space.

Programming Language 98

Programming Language Amazon Web Services Java Cloud Computing 98

Edureka

OCTOBER 8, 2024

Full Stack Developers are adept at working with databases, whether they are SQL-based like MySQL or No SQL like MongoDB. NoSQL Databases: Some developers prefer handling data in a more flexible manner without strict schema enforcement, using NoSQL databases like MongoDB. These skills help in effective storage and retrieval of data.

MongoDB 40

MongoDB NoSQL MySQL PostgreSQL 40

U-Next

JUNE 30, 2022

We may connect the dedicated server and run programming code programs on their devices thanks to cloud computing. Examples include cloud storage providers like Dropbox or Google Drive and cloud email providers like Hotmail and Office 365. 2) What advantages does cloud computing offer? What’s a public cloud?

Cloud Computing 52

Cloud Computing Cloud Cloud Storage Technology 52

DareData

JANUARY 30, 2023

Examples of NoSQL databases include MongoDB or Cassandra. Data lakes: These are large-scale data storage systems that are designed to store and process large amounts of raw, unstructured data. Examples of technologies able to aggregate data in data lake format include Amazon S3 or Azure Data Lake.

Data Engineer 52

Data Engineer Data Engineering Engineering NoSQL 52

Rockset

MARCH 15, 2021

Using RocksDB’s remote compaction feature, only one replica performs indexing and compaction operations remotely in cloud storage. In contrast, real-time analytics often involves data coming from an operational database, like MongoDB or DynamoDB, which is updated frequently. Rockset provides a different connector.

MongoDB 40

MongoDB Data Ingestion Analytics Application Kafka 40

U-Next

SEPTEMBER 7, 2022

For building data lakes, the following technologies provide flexible and scalable data lake storage : . Gen 2 Azure Data Lake Storage . Cloud storage provided by Google . Atlas Data Lake powered by MongoDB. . Amazon Web Services S3 . Athena on AWS. . The starburst. . Analytics powered by Databricks. .

Data Lake 52

Data Lake Data Warehouse Unstructured Data Amazon Web Services 52

Knowledge Hut

APRIL 25, 2023

MongoDB MongoDB is a NoSQL document-oriented database that is widely used by data engineers for building scalable and flexible data-driven applications. Cloud Composer can integrate with other GCP services like BigQuery, Cloud Storage, and Cloud Dataflow. Some of its key features are mentioned here.

Data Engineer 52

Data Engineer Data Engineering Engineering Google Cloud 52

Edureka

FEBRUARY 9, 2023

A data engineer should be familiar with popular Big Data tools and technologies such as Hadoop, MongoDB, and Kafka. Because companies are increasingly replacing physical servers with cloud services, data engineers must understand cloud storage and cloud computing.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Mining 52

ProjectPro

JUNE 6, 2025

Tech Stack Programming Language: Python Libraries & Frameworks: Data Processing: Pandas , NumPy Machine Learning: Scikit-learn, XGBoost, Random Forest Time-Series Forecasting: Prophet, ARIMA, LSTM (Deep Learning) Data Storage & Processing: SQL (PostgreSQL, MySQL), NoSQL (MongoDB) Cloud Storage ( Google BigQuery , AWS S3) Deployment Tools: API (..)

Data Science 40

Data Science Project Management Transportation 40

Knowledge Hut

APRIL 24, 2024

Setting-Up Personal Home Cloud Setting-Up Personal Home Cloud project is an exciting software engineering project that requires a good understanding of hardware and software configurations, cloud storage solutions, and security measures.

Software Engineering 52

Software Engineering Software Engineer Coding Project 52

Confluent

SEPTEMBER 20, 2019

BigQuery, Amazon Redshift, and MongoDB Atlas) and caches (e.g., Cloud Memorystore, Amazon ElastiCache, and Azure Cache), applying this concept to a distributed streaming platform is fairly new. Before Confluent Cloud was announced , a managed service for Apache Kafka did not exist.

Kafka 21

Kafka Management Cloud AWS 21

ProjectPro

JULY 30, 2021

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 40

Cloud Computing Cloud Amazon Web Services AWS 40

ProjectPro

JUNE 6, 2025

Hadoop , MongoDB, and Kafka are popular Big Data tools and technologies a data engineer needs to be familiar with. Companies are increasingly substituting physical servers with cloud services, so data engineers need to know about cloud storage and cloud computing.

Data Engineer 49

Data Engineer Data Engineering Engineering Certification 49

Knowledge Hut

DECEMBER 27, 2023

MongoDB Free and open-source tool supporting multiple operating systems, including Windows Vista (and later versions), OS X (10.7 No coding is required. Cons: Nothing serious. Just offers a limited color palette. Pricing : Offers both Free and pricing models. The pricing can be had from the Datawrapper site.

Big Data Tools 59

Big Data Tools Big Data Hadoop Database-centric 59

ProjectPro

AUGUST 24, 2021

Then, the Yelp dataset downloaded in JSON format is connected to Cloud SDK, following connections to Cloud storage which is then connected with Cloud Composer. Cloud composer and PubSub outputs are Apache Beam and connected to Google Dataflow. MongoDB stores the processed and aggregated results.

Data Engineer 52

Data Engineer Data Engineering Coding Project 52

Rockset

JUNE 7, 2021

These CDC implementations are offered in the form of configurable connectors for systems such as MongoDB , DynamoDB , MySQL , Postgres and others. For most of the supported data sources the latency between the source and target is under 5 seconds.

IT 40

IT Kafka MongoDB Database 40

ProjectPro

JANUARY 19, 2022

Hadoop, MongoDB, and Kafka are popular Big Data tools and technologies a data engineer needs to be familiar with. Companies are increasingly substituting physical servers with cloud services, so data engineers need to know about cloud storage and cloud computing.

Data Engineer 52

Data Engineer Data Engineering Engineering Certification 52

Knowledge Hut

JANUARY 2, 2024

You will discover how to use MongoDB, deploy a MEAN App to the Amazon EC2, manage identity and access, and add your account to these security groups. Utilize AWS services to control cloud architecture. Boost your outsourcing Establish a private cloud network. Create a virtual desktop environment and cloud storage.

AWS 52

AWS Amazon Web Services Certification Architecture 52

ProjectPro

DECEMBER 7, 2021

In addition, to extract data from the eCommerce website, you need experts familiar with databases like MongoDB that store reviews of customers. Publish- Transform data in the cloud and send it to on-premises sources like SQL Server or store it in your cloud storage sources for BI and data analytics tools and other apps to use.

Data Pipeline 52

Data Pipeline Architecture Kafka Data Lake 52

Christophe Blefari

AUGUST 4, 2023

DuckDB vs. Spark, ElasticSearch and MongoDB — Even if this is not really relevant to compare it to NoSQL databases, tests are showing that DuckDB looks better. this list can become infinite) Conclusion After this design exercice I have mix feeling. This is in private beta and the move is interesting.

Google Cloud 225

Google Cloud MongoDB NoSQL Data 225

AltexSoft

JULY 29, 2022

It lets you run MapReduce and Spark jobs on data kept in Google Cloud Storage (instead of HDFS); or. Oracle Big Data Service , offering customers a fully-managed Hadoop environment in the cloud. MongoDB: an NoSQL database with additional features. There are other HaaS vendors as well. Here are some options to consider.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

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 Engineer 52

Data Engineer Data Engineering Engineering Data Warehouse 52