Many organizations are processing and analyzing clickstream data in real time from customer-facing applications to look for new business opportunities and identify security incidents in real time. A common practice is to consolidate and enrich logs from applications and servers in real time to proactively identify and resolve failure scenarios Read more…
In May 2020, we announced the general availability of real-time anomaly detection for Elasticsearch. With that release we leveraged the Random Cut Forest (RCF) algorithm to identify anomalous behaviors in the multi-dimensional data streams generated by Elasticsearch queries. We focused on aggregation first, to enable our users to quickly and Read more…
The machine learning (ML) lifecycle consists of several key phases: data collection, data preparation, feature engineering, model training, model evaluation, and model deployment. The data preparation and feature engineering phases ensure an ML model is given high-quality data that is relevant to the model’s purpose. Because most raw datasets require Read more…
The Amazon Redshift Data API makes it easy for any application written in Python, Go, Java, Node.JS, PHP, Ruby, and C++ to interact with Amazon Redshift. Traditionally, these applications use JDBC connectors to connect, send a query to run, and retrieve results from the Amazon Redshift cluster. This requires extra Read more…
This is a guest blog post by AWS partner Aspire Ventures As we enter winter, with fewer options to be outdoors, our personal choices can impact our risk of contracting the COVID-19 virus even more. The New England Journal of Medicine publication showed real-world examples of the effectiveness of masks Read more…
By Paul Scott-Murphy, VP Product Management at WANdisco By Jeremy Zogg, Sr. Director Engineering at GoDaddy By Roy Hasson, WW Analytics Specialist Leader at AWS Organizations collect and store vast amounts of data that is processed and analyzed throughout each day in order to deliver fresh actionable insights. As business Read more…
The success of many modern streaming applications depends on the ability to sequentially detect each change as soon as possible after it occurs, while continuing to monitor the data stream as it evolves. Applications of change point detection range across genomics, marketing, and finance, to name a few. In genomics, Read more…
AWS Glue is a fully managed extract, transform, and load (ETL) service that makes it easy to prepare and load your data for analytics. AWS Glue 2.0 features an upgraded infrastructure for running Apache Spark ETL jobs in AWS Glue with reduced startup times. With reduced startup delay time and Read more…
Most customers have their applications backed by various sql and nosql systems on prem and on cloud. Since the data is in various independent systems, customers struggle to derive meaningful info by combining data from all of these sources. Hence, customers create data lakes to bring their data in a Read more…
The AWS Partner Network (APN) is the global partner program for Amazon Web Services (AWS). We enable AWS Partners to build, market, and sell their AWS offerings, and we help customers identify top AWS Partners that can deliver on core business objectives. There are tens of thousands of AWS Partners Read more…