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Machine Learning Techniques for Predictive Maintenance
In this article, the authors explore how we can build a machine learning model to do predictive maintenance of systems. They discuss a sample application using NASA engine failure dataset to predict the Remaining Useful Time (RUL) with regression models.
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Predicting Movie Ratings: NLP Tools is What Film Studios Need
In this article, the author discusses how to use Natural Language Processing (NLP) techniques to predict the movie ratings using the data shared on social media platforms. Sentiment analysis of movie reviews can also be used to classify movies into different genres and to improve the movie recommendation systems.
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Pascal Desmarets on NoSQL Data Modeling Best Practices
NoSQL databases are specialized to store different types of data like Key Value, Documents, Column Family, Time Series, Graph, and IoT data. Pascal Desmarets talks about how to perform data modeling in NoSQL databases compared to the modeling in Relational databases.
From Alibaba to Apache: RocketMQ’s Past, Present, and Future
Feng Jia and Wang Xiaorui share the core distributed systems principals behind RocketMQ, Alibaba's distributed messaging and data streaming platform now open sourced through the Apache Foundation.
Building Pipelines for Heterogeneous Execution Environments for Big Data Processing
The Pipeline61 framework supports the building of data pipelines involving heterogeneous execution environments. It reuses the existing code of the deployed jobs in different environments.
Introducing Reladomo - Enterprise Open Source Java ORM, Batteries Included!
Reladomo, the primary Java ORM used at leading investment bank Goldman Sachs, is now open source. In this article GS Technology Fellow Mohammad Rezaei takes us on a deep dive into Reladomo. 4
Big Data Processing Using Apache Spark - Part 6: Graph Data Analytics with Spark GraphX
In this article, author discusses Apache Spark GraphX used for graph data processing and analytics, with sample code for graph algorithms like PageRank, Connected Components and Triangle Counting. 2
Three Experts on Big Data Engineering
Clemens Szyperski (Microsoft), Martin Petitclerc (IBM), and Roger Barga (Amazon Web Services) talk about challenges when building scalable, big data systems, and how to address them.
Data Preprocessing vs. Data Wrangling in Machine Learning Projects
This article compares different alternative techniques to prepare data, including extract-transform-load (ETL) batch processing, streaming ingestion and data wrangling.
Learning Paths: QCon London Expert Recommendations
Advice on the best talks to attend at QCon London 2017 from London Thought Leaders.
Q&A with Immuta on the Implications of EU’s General Data Protection Regulation (GDPR)
InfoQ talked with Immuta’s Andrew Burt and Steve Touw, to better understand the implications and challenges of the EU's Global Data Protection Regulation, which will come into effect in May 2018.
Analysis and Mitigation of NoSQL Injections
Because code analysis alone is insufficient to prevent attacks in today's typical large-scale deployment, certain mitigations should be done throughout the entire software life cycle.
