Netflix Tech

DECEMBER 14, 2018

data access semantics that guarantee repeatable data read behavior for client applications. System Requirements Support for Structured Data The growth of NoSQL databases has broadly been accompanied with the trend of data “schemalessness” (e.g., key value stores generally allow storing any data under a key).

Media 97

Media Database Metadata Data Schemas 97

Knowledge Hut

NOVEMBER 3, 2023

The need for efficient and agile data management products is higher than ever before, given the ongoing landscape of data science changes. MongoDB is a NoSQL database that’s been making rounds in the data science community. What is MongoDB for Data Science? Quickly pull (fetch), filter, and reduce data.

MongoDB 52

MongoDB Data Science NoSQL ETL Tools 52

Striim

SEPTEMBER 11, 2024

Strimmer: To build the data pipeline for our Strimmer service, we’ll use Striim’s streaming ETL data processing capabilities, allowing us to clean and format the data before it’s stored in the data store.

Data Pipeline 98

Data Pipeline Designing Data Lake Data Warehouse 98

Knowledge Hut

APRIL 23, 2024

Unlike big data warehouse, big data focuses on processing and analyzing data in its raw and unstructured form. It employs technologies such as Apache Hadoop, Apache Spark, and NoSQL databases to handle the immense scale and complexity of big data.

Data Warehouse 52

Data Warehouse Big Data Unstructured Data Hadoop 52

Knowledge Hut

MARCH 22, 2024

Interested in NoSQL databases? MongoDB Careers: Overview MongoDB is one of the leading NoSQL database solutions and generates a lot of demand for experts in different fields. During the era of big data and real-time analytics, businesses face challenges, and the need for skilled MongoDB professionals has grown to an order of magnitude.

MongoDB 52

MongoDB Amazon Web Services Computer Science Education 52

Cloud Academy

JANUARY 27, 2022

For example, you can learn about how JSONs are integral to non-relational databases – especially data schemas, and how to write queries using JSON. The path will help you understand common data formats you might encounter as a data engineer, starting with SQL.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

ProjectPro

JANUARY 31, 2023

This process involves data collection from multiple sources, such as social networking sites, corporate software, and log files. Data Storage: The next step after data ingestion is to store it in HDFS or a NoSQL database such as HBase. Data Processing: This is the final step in deploying a big data model.

Big Data 52

Big Data Hadoop Relational Database AWS 52