Cloud Database Logistics Scalability 
High Scalability
JANUARY 11, 2022
We will use a graph database such as Neo4j to store the information. Additionally, we can use columnar databases like Cassandra to store information like user feeds, activities, and counters. Sample Queries supported by Graph Database. System Components. Component Design. Posting on Instagram. API Design. Data Models.
ScaleOut Software
JANUARY 9, 2020
Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications in operational environments such as these require. The post The Next Generation in Logistics Tracking with Real-Time Digital Twins appeared first on ScaleOut Software.
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ScaleOut Software
JANUARY 9, 2020
Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications such as these require. It’s not enough to just pick out interesting events from an aggregated data stream and then send them to a database for offline analysis using Spark.
All Things Distributed
JUNE 20, 2017
After the launch of the AWS APAC (Hong Kong) Region, there will be 19 Availability Zones in Asia Pacific for customers to build flexible, scalable, secure, and highly available applications. These companies include Cathay Pacific, CLSA, HSBC, Gibson Innovations, Kerry Logistics, Ocean Park, Next Digital, and TownGas.
ScaleOut Software
JANUARY 9, 2020
Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications in operational environments such as these require. It also shows real-time aggregate results being fed to displays for immediate consumption by operations managers.
All Things Distributed
AUGUST 20, 2015
It opens up the possibility to enjoy the value that graph databases bring to relationship-centric use cases, without worrying about managing the underlying storage. Traditionally, these connections have been stored in relational databases, with each object type requiring its own table. Enter graph databases.
Dynatrace
DECEMBER 10, 2020
This complexity comes in the form of new technologies like microservices and containers, heavy use of third-party integrations, and distributed transactions across multiple cloud environments and data centers. Rethinking the process means digital transformation. Different teams have their own siloed monitoring solution.
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