InfoQ Homepage Database Content on InfoQ
-
Apache Spark for Big Data Processing
Ilayaperumal Gopinathan and Ludwine Probst discuss Spark and its ecosystem, in particular Spark Streaming and MLlib, providing a concrete example, and showing how to use Spark with Spring XD.
/presentations/apache-spark-big-data-processing/en/mediumimage/doibig.jpg)
-
Experiences Building InfluxDB in Go
Paul Dix shares his experience building InfluxDB, an open source distributed time series database, in Go.
/presentations/influxdb-go/en/mediumimage/Paulbig.JPG)
-
Federated Queries with HAWQ - SQL on Hadoop and Beyond
Christian Tzolov shows different integration approaches between HAWQ and GemFire, showing using Spring XD to ingest GemFire data into HDFS and using Spring Boot to implement a RESTful proxy for HAWQ.
/presentations/federated-queries-hawq/en/mediumimage/Chrisbig.JPG)
-
Building Blocks of a Distributed System
Oren Eini discusses the building blocks of a reliable, transactional distributed database, covering ACID compliance, consistency, failure handling, monitoring, management, and more.
/presentations/distributed-database-system/en/mediumimage/Orebig.JPG)
-
IoT Realized - The Connected Car v2
Phil Berman and Michael T Minella present a solution developed with Spring XD to stream real-time analytics from a moving car using open standards.
/presentations/pring-xd-iot/en/mediumimage/Philbig.jpg)
-
Spring Data REST - Data Meets Hypermedia + Security
Roy Clarkson and Greg Turnquist discuss using Spring Data REST to build a back-end for a startup, exemplifying with Spring-A-Gram, an app built with Spring Data REST and secured by Spring Security.
/presentations/spring-data-rest-2015/en/mediumimage/Roybig.JPG)
-
Working with Databases & Groovy
Paul King reviews the features in Groovy which make it easy to work with databases - Groovy SQL, datasets -, and working with NoSQL databases such as MongoDB and Neo4J.
/presentations/groovy-sql-nosql/en/mediumimage/Paulbig.JPG)
-
The Lego Model for Machine Learning Pipelines
Leah McGuire describes the machine learning platform Salesforce wrote on top of Spark to modularize data cleaning and feature engineering.
/presentations/salesforce-machine-learning/en/mediumimage/Leabig.JPG)
-
Spring XD Today and Tomorrow
Mark Pollack discusses Spring XD and its integration driven by the Big Data ecosystem at large such as Kafka, Spark, functional programming, integration with Python, and designer/monitoring UIs.
/presentations/spring-xd-big-data/en/mediumimage/Markbig.JPG)
-
Spring Boot and Groovy
Fátima Casaú discusses applications with Spring, support for ‘Groovy’ and also the use of ‘GORM (Grails Object Relational Mapping)’ as well as ‘Hibernate’ for persistence.
/presentations/spring-groovy-gorm/en/mediumimage/Fatbig.JPG)
-
Data Driven Action: A Primer on Data Science
S Aerni, S Ramanujam and J Vawdrey present approaches and open source tools for wrangling and modeling massive datasets, scaling Java applications for NLP on MPP through PL/Java and much more.
/presentations/pl-java-nlp-mpp/en/mediumimage/Treibig.jpg)
-
Boot Your Search with Spring
Christoph Strobl focuses on integrating search solutions like Solr, Elasticsearch as well as MongoDBs full text search into an application.
/presentations/spring-boot-search/en/mediumimage/Chrisbig.JPG)