Vertex360
Brevity
GoodHuman
Summari
CostPlus Drugs
SummarizeBot
iExplorer
Resoomer
Amazon EMR
Google BigQuery
Google Cloud Dataflow
Google Cloud Dataproc
Databricks
Qubole
Snowflake
HortonWorks Data Platform
Vertex360 is an NDIS software, which is planned especially to help NDIS providers skillfully manage their participants and the services they provide. The software solutions vary but are frequently furnished with features that enable providers to create participants' profiles, track their goals, and manage the services. The software also provides a manageable and intuitive way to keep track of time and expenses so that providers can coordinate services across multiple clients.
Vertex360 Amazon EMRVertex360 proves to be an indispensable tool for NDIS service providers, offering a seamless experience in managing cases, scheduling, and invoicing. The platform's user-friendly interface facilitates smooth navigation, while its customizable features cater to diverse organizational needs. Although occasional technical hiccups arise, the support team promptly resolves them. Overall, Vertex360 significantly enhances productivity and service delivery, making it a highly recommended solution for NDIS providers.
Based on our record, Amazon EMR seems to be more popular. It has been mentiond 10 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
There are different ways to implement parallel dataflows, such as using parallel data processing frameworks like Apache Hadoop, Apache Spark, and Apache Flink, or using cloud-based services like Amazon EMR and Google Cloud Dataflow. It is also possible to use parallel dataflow frameworks to handle big data and distributed computing, like Apache Nifi and Apache Kafka. Source: over 1 year ago
I'm going to guess you want something like EMR. Which can take large data sets segment it across multiple executors and coalesce the data back into a final dataset. Source: almost 2 years ago
This is exactly the kind of workload EMR was made for, you can even run it serverless nowadays. Athena might be a viable option as well. Source: about 2 years ago
Apache Spark is one of the most actively developed open-source projects in big data. The following code examples require that you have Spark set up and can execute Python code using the PySpark library. The examples also require that you have your data in Amazon S3 (Simple Storage Service). All this is set up on AWS EMR (Elastic MapReduce). - Source: dev.to / over 2 years ago
Check out https://aws.amazon.com/emr/. Source: about 2 years ago
Brevity - Transform long form content into clear summaries
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
GoodHuman - Discover all things sustainable and ethical
Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.
Summari - Summari is a web and mobile app that can summarize long text articles into bullet points.
Google Cloud Dataproc - Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost