Add in a Spark MLlib predictive model to determine whether a wind turbine is likely to fail, and serve the data up through SingleStore to a front-end dashboard. In this case, the dashboard is provided by Tableau, and the scrolling map showcasing the predicted health of wind turbines is provided by Mapbox. Supercar Supercar is a geospatial application that analyzes New York taxi rides in real time.
The dataset contains location information from actual rides that took place throughout Manhattan. With Supercar, you can run easy SQL queries in SingleStore to analyze the average length of ride, or average cost of ride, for example.
Pinterest The data science team at Pinterest uses Apache Kafka, Spark Streaming, and SingleStore to ingest tens of thousands of events per second and aggregate that event data, which in this case is pins and repins. Kafka serves as the message queue, Spark provides the transformation tier, and the operational database offers persistence and a serving layer for an application that allows for quick analysis of real-time trending topics by geography.
June 23rd, Last Modified - Invalid date. Tag Icon Geospatial. Related Posts. Geospatial 7 min Read. See our joint press…. Read Post.
Geospatial 3 min Read. Geospatial 1 min Read. In most scenarios, users are encouraged to preprocess raw count outputs of their sequencing data. Considering the features of scRNA-seq data, we suggest that users may follow the pre-processing code below to achieve the best performance on their scRNA-seq raw counts.
The log-transformation is always suggested to avoid heavy-tailed datasets. The table below contains description of those parameters. The function takes the expression matrix, the signature lists and the SCINA results as input, and returns a heatmap showing signature genes' expression levels, grouped with SCINA predicted cell types Fig.
According to the experience and issues from our users, we found two frequent conditions when SCINA may not work as expected. Skip to content. Star Branches Tags. Could not load branches. Note: using an incorrect region is one of the most common - and hardest to figure out - errors when working with S3. This package contains many functions.
The following are those that will be useful for working with objects in S They can be also set within R: Sys. By default, the package uses the AWS endpoint: s3. To use the package from an EC2 instance, you would need to install aws. This way, credential will be obtained from the machine's role. Code Examples The package can be used to examine publicly accessible S3 buckets and publicly accessible S3 objects without registering an AWS account.
If credentials have been generated in the AWS console and made available in R, you can find your available buckets using: library "aws.
Objects This package contains many functions. The following are those that will be useful for working with objects in S3: bucketlist provides the data frames of buckets to which the user has access. Fetch the most recent database version from compadre-db. For the most part CompadreDB objects work like a data frame.
They can be subset using [ , subset or filter. There are also accessor functions for the matrix subcomponents matU , matF , matC , and for many other parts of the database too. Specific earlier releases of this package can be installed using the appropriate tag.
Jones, Owen R.
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