Rockset

JULY 28, 2022

MongoDB has grown from a basic JSON key-value store to one of the most popular NoSQL database solutions in use today. These attributes have caused MongoDB to be widely adopted especially alongside JavaScript web applications. If this is not already part of your architecture then it may add another layer of complexity and cost.

MongoDB 52

MongoDB Kafka NoSQL Data Lake 52

Rockset

NOVEMBER 12, 2020

Offloading analytics from MongoDB establishes clear isolation between write-intensive and read-intensive operations. In most scenarios, MongoDB can be used as the primary data storage for write-only operations and as support for quick data ingestion. Monstache is also available as a sync daemon and a container.

MongoDB 40

MongoDB NoSQL Data Pipeline Data Storage 40

Rockset

SEPTEMBER 3, 2020

MongoDB’s Advantages & Disadvantages MongoDB has comprehensive aggregation capabilities. You can run many analytic queries on MongoDB without exporting your data to a third-party tool. In this situation, the MongoDB cluster doesn’t have to keep up with the read requests. This is never a good thing.

MongoDB 40

MongoDB PostgreSQL SQL Database 40

AltexSoft

MAY 12, 2023

A loose schema allows for some data structure flexibility while maintaining a general organization. Semi-structured data is typically stored in NoSQL databases, such as MongoDB, Cassandra, and Couchbase, following hierarchical or graph data models. MongoDB, Cassandra), and big data processing frameworks (e.g.,

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

AltexSoft

JUNE 26, 2023

Read our article on Hotel Data Management to have a full picture of what information can be collected to boost revenue and customer satisfaction in hospitality. While all three are about data acquisition, they have distinct differences. They can be accumulated in NoSQL databases like MongoDB or Cassandra.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

AltexSoft

MAY 14, 2021

Big Data analytics encompasses the processes of collecting, processing, filtering/cleansing, and analyzing extensive datasets so that organizations can use them to develop, grow, and produce better products. Big Data analytics processes and tools. Data ingestion. Hadoop architecture layers. NoSQL databases.

Big Data 78

Big Data Data Analytics IT NoSQL 78

Knowledge Hut

APRIL 25, 2023

Strong programming skills: Data engineers should have a good grasp of programming languages like Python, Java, or Scala, which are commonly used in data engineering. Database management: Data engineers should be proficient in storing and managing data and working with different databases, including relational and NoSQL databases.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52