InfoQ Homepage Database Content on InfoQ
-
Writing Your Own Spring Boot Starter
Dieter Hubau explains the workings of a Spring Boot Starter project and goes over the necessary code for creating one using his recently developed starter for integrating Spring Social with Redis.
-
Elasticsearch for SQL Users
Shaunak Kashyap looks at several well-understood concepts and SQL queries from the relational paradigm and maps these to their Elasticsearch equivalents.
-
MongoDB Aggregation - Going Way beyond the Query
Nuri Halperin discusses the aggregation framework in MongoDB, explaining the pipeline architecture, major operators, and how to put it all together in interesting and effective ways.
-
Validation Methodology of Large Unstructured Unsupervised Learning Systems
Lawrence Chernin describes best practices and validation methods used to deal with large unstructured data, including a suite of unit tests covering the implementations of algorithmic equations.
-
Developing a Geospatial Webservice with Kotlin and Spring Boot
Sébastien Deleuze shows how to use a relational database without JPA in order to use advanced PostgreSQL functionalities wiht a lightweight stack, demonstrating Kotlin to JavaScript transpiler.
-
No Outage Database Development with Spring Boot and Liquibase
Alan Barrington-Hughes and Pavithra Ramaswamy discuss key concepts in agile database refactoring, demonstrating a no outage deployment with nginx using a blue-green method.
-
How Predictive Analytics Boosts the Customer Experience at the Georgia Aquarium
Beach Clark talks about the technological and cultural challenges of turning data science into a vital part of the business model at Georgia Aquarium.
-
Overview of Artificial Intelligence and Its Use in Analyzing “Voice of Cancer Patients”
Alok Aggarwal overviews Artificial Intelligence and discusses a use case, “Voice of Cancer Patients” that uses ML and NLP algorithms to analyze unstructured text written by cancer patients.
-
Solving Business Problems with Data Science
The panelists discuss how Data Science can help solve various problems for business.
-
Pyh3: Scalable and High Performance Graph Visualization in 3D Hyperbolic Space
Songxiao Zhang introduces Pyh3, a graph visualization library showing tree nodes in a 3D hyperbolic space.
-
Integrating Hybrid Cloud Database-as-a-Service with Cloud Foundry’s Service Broker
Lenley Hensarling describes how EnterpriseDB Cloud Management can provide responsible DevOps models for the enterprise.
-
Hydrator: Open Source, Code-Free Data Pipelines
Jonathan Gray introduces Hydrator, an open source framework and user interface for creating data lakes for building and managing data pipelines on Spark, MapReduce, Spark Streaming and Tigon.