Knowledge Hut

NOVEMBER 16, 2023

The AWS services cheat sheet will provide you with the basics of Amazon Web Service, like the type of cloud, services, tools, commands, etc. Opt for Cloud Computing Courses online to develop your knowledge of cloud storage, databases, networking, security, and analytics and launch a career in Cloud Computing.

AWS 52

AWS Amazon Web Services Cloud Computing Cloud Storage 52

ProjectPro

JANUARY 24, 2023

BigQuery also supports many data sources, including Google Cloud Storage, Google Drive, and Sheets. It can process data stored in Google Cloud Storage, Bigtable, or Cloud SQL, supporting streaming and batch data processing. It supports structured and unstructured data, allowing users to work with various formats.

Bytes 52

Bytes Google Cloud Data Warehouse Cloud Storage 52

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

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 Big Data ETL Tools 93

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

APRIL 25, 2023

Database management: Data engineers should be proficient in storing and managing data and working with different databases, including relational and NoSQL databases. MongoDB MongoDB is a NoSQL document-oriented database that is widely used by data engineers for building scalable and flexible data-driven applications.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 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. Google Cloud Storage: This RESTful cloud storage solution is offered through the Google Cloud Platform.

Database 40

Database Google Cloud AWS Cloud Storage 40

ProjectPro

SEPTEMBER 6, 2021

Amazon brought innovation in technology and enjoyed a massive head start compared to Google Cloud, Microsoft Azure , and other cloud computing services. It developed and optimized everything from cloud storage, computing, IaaS, and PaaS. AWS S3 and GCP Storage Amazon and Google both have their solution for cloud storage.

AWS 52

AWS Amazon Web Services Google Cloud Cloud Storage 52

Netflix Tech

DECEMBER 14, 2018

System Requirements Support for Structured Data The growth of NoSQL databases has broadly been accompanied with the trend of data “schemalessness” (e.g., 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”).

Media 97

Media Database Metadata Data Schemas 97

Knowledge Hut

DECEMBER 27, 2023

No coding is required. This NoSQL, document-oriented database is written in C, C++, and JavaScript. Comes with various high-speed smart features and no-code data queries. Pros: Device independent and works well on all types of devices – mobile, tablet or desktop. Cons: Nothing serious. Just offers a limited color palette.

Big Data Tools 59

Big Data Tools Big Data Hadoop Database-centric 59

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

ProjectPro

JANUARY 19, 2022

Companies are increasingly substituting physical servers with cloud services, so data engineers need to know about cloud storage and cloud computing. They must be skilled at creating solutions that use the Azure Cosmos DB for NoSQL API. They should have prior JavaScript experience building server-side objects.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Storage 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

AUGUST 11, 2021

Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization Data Lake Architecture Data lake architecture incorporates various search and analysis methods to help organizations glean meaningful insights from the large volumes of data. This layer should support both SQL and NoSQL queries.

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

ProjectPro

FEBRUARY 16, 2023

Despite the buzz surrounding NoSQL , Hadoop , and other big data technologies, SQL remains the most dominant language for data operations among all tech companies. For instance, data engineers can easily transfer the data onto a cloud storage system and load the raw data into their data warehouse using the COPY INTO command.

Data Engineering 52

Data Engineering Data Engineer SQL Engineering 52

Christophe Blefari

AUGUST 4, 2023

I hate Github actions, but I prefer putting code in public in Github. 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.

Google Cloud 225

Google Cloud MongoDB NoSQL Data 225

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. Hadoop ecosystem evolvement.

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 Engineering 52

Data Engineering Data Engineer Engineering Business Intelligence 52