The document contains settings for different hardware configurations, including graphics cards, processors, memory, and screen resolutions. It has sections that specify recommended settings for various hardware specifications like GPU, CPU, memory amounts. Each hardware tier lists the associated settings for graphics quality levels.
Sometimes your fastest queries can cause the most problems. I will take you beyond the slow query optimization and instead zero in on the performance impacts surrounding the quantity of your datastore hits. Using real world examples dealing with datastores such as Elasticsearch, MySQL, and Redis, I will demonstrate how many fast queries can wreak just as much havoc as a few big slow ones. With each example I will make use of the simple tools available in Ruby and Rails to decrease and eliminate the need for these fast and seemingly innocuous datastore hits.
Sometimes your fastest queries can cause the most problems. I will take you beyond the slow query optimization and instead zero in on the performance impacts surrounding the quantity of your datastore hits. Using real world examples dealing with datastores such as Elasticsearch, MySQL, and Redis, I will demonstrate how many fast queries can wreak just as much havoc as a few big slow ones. With each example I will make use of the simple tools available in Ruby and Rails to decrease and eliminate the need for these fast and seemingly innocuous datastore hits.
MySQL flexible schema and JSON for Internet of ThingsAlexander Rubin
My presentation at Oracle Open World Conference 2017: Using MySQL Flexible Schema (Document Store/JSON) for IoT
Tuesday, Oct 03, 11:30 a.m. - 12:15 p.m. | Marriott Marquis (Yerba Buena Level) - Salon 14
Storing data from sensors (Internet of Things) may be challenging in many respects, specifically due to the changing nature of the data. For example, if you have a fixed table structure and a sensor will need to store new property, it will be hard to make this change. This session discusses different options for implementing flexible schemas with MySQL 5.7 and MySQL 8.0, using JSON and calculated fields as well as the MySQL Document Store feature. It includes a demo with IoT devices where data is stored in MySQL 8.0.
Matlab code for An overview of solar photovoltaic panel modeling based on ana...Pourya Parsa
This paper provides a comprehensive review of available models of photovoltaic panel. Modeling and simulation of photovoltaic panel (PV) in virtual environment helps in designing and performance analysis of solar based power system. This paper analyses the currently available models from two different aspects. First aspect is based on electrical characteristics of PV panel using electrical equivalent circuit or through set of mathematical equations. The other aspect is based on the characteristics of PV panel under different environmental conditions. Environmental conditions include varying temperature and non-uniform solar irradiance due to partial shading. Varying environmental conditions causes continuous change in PV panel operating point corresponding to Maximum Power Point (MPP). Therefore an accurate PV panel model built with robust control that includes these environmental conditions will certainly improve the overall performance of the solar power plant. This paper can help researchers in selecting a specific objective based PV panel model out of several models available in literature.
Cache is King: Get the Most Bang for Your Buck From RubyMolly Struve
Sometimes your fastest queries can cause the most problems. I will take you beyond the slow query optimization and instead zero in on the performance impacts surrounding the quantity of your datastore hits. Using real world examples dealing with datastores such as Elasticsearch, MySQL, and Redis, I will demonstrate how many fast queries can wreak just as much havoc as a few big slow ones. With each example I will make use of the simple tools available in Ruby to decrease and eliminate the need for these fast and seemingly innocuous datastore hits.
Alex Woolford, Confluent, Senior Solutions Engineer
This slide deck was used during the following talk, non-linearly:
Real-time recommendations with Snowplow, Kafka, and Neo4j
Abstract: The value of the information gleaned from a web session often has a very short half-life. Post-hoc analysis is often too late to be actionable. In this short talk, we’ll show you how to generate customer profiles, and build a real-time recommendation engine with clickstream events sourced from Snowplow.
https://www.meetup.com/Saint-Louis-Kafka-meetup-group/events/275915770/