Practical Insights on Data Challenges in Deep Learning Projects
Join Dr Ariel Biller, AllegroAI's evangelist in a webinar discussing Deep Learning data challenges and tools to overcome them
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Automating the Development Pipeline to Rapidly Design, Publish and Consume Services
Teams are looking for every opportunity to do more with less. Companies want to get to market faster, while reducing costs with automation. To accomplish these goals, it is critical to allow the developers to use DevOps processes and re-use existing Services to drive speed and innovation. In this Workshop, we'll discuss how Kong enables spec-based development to provide consistent APIs, documentation and automate deployments with Kong, using GitOps.
Nextdoor's iOS CI/CD journey with Bitrise
Two of the most useful tools for making software development run smoothly are CI & CD. Over the years our stack has evolved from a humble Jenkins box into a cloud-native platform. In this post, we’ll share our learnings from this journey.
React Hooks Common Mistakes
React Hooks is a new addition to React which enables you to use state and other features of the library without having to create a class. By ‘hooking into’ React’s existing features, you can significantly reduce the number of concepts you have to grapple with, and you can create custom hooks to share all kinds of non-visual logic, making your code much more reusable.
New Apache Kafka to AWS S3 Connector
Many in the community have been asking us to develop a new Kafka to S3 connector for some time. So we’re pleased to announce it's now available. It’s been designed to deliver a number of benefits over existing S3 connectors. Like our other Stream Reactors, the connector extends the standard connect config adding a parameter for a SQL command (Lenses Kafka Connect Query Language or “KCQL”). This defines how to map data from the source (in this case Kafka) to the target (S3).
Anodot the business monitoring platform
Business metrics are notoriously hard to monitor because of their unique context and volatile nature. Anodot’s Business Monitoring platform uses machine learning to constantly analyze and correlate every business parameter, providing real-time alerts and forecasts in their context. This is machine learning packaged in a turn-key solution – no data science experience needed.
Tips for Successful Data Analysis & Benefits
This short guide for conducting successful big data analysis will take you through a couple of the most essential tips to help you learn how to analyse data & become a better data analyst by avoiding rookie mistakes and embracing the correct mindset to get the most from your data. We’ll also cover some of ways that conducting effective data analysis can help your organisation.
Election Reporting at Scale - DreamFactory and Decision Desk HQ
Over the years the DreamFactory team has collaborated on a lot of really interesting API-oriented projects. Many of these projects involve integrating the DreamFactory platform into a much larger technology ecosystem. To put this into perspective, although our client base ranges widely in terms of both industry and company size, we often work with organizations tending towards the larger end of the scale.
Fraud Prevention - 3 Data Strategies for Financial Services
Fraud awareness in the Financial Services industry is more important than ever. According to the September 2020 benchmarking report conducted by the Association of Certified Fraud Examiners (ACFE) in response to the coronavirus, 77% of survey respondents, representing a range of industries, have observed an increase in the overall level of fraud as of August, compared with 68% in May. The report reveals 68% of respondents have observed an increase in payment fraud schemes (vs.
Support for Calling External Functions via Azure API Management Now in Public Preview
In June, Snowflake announced the public preview of the external functions feature with support for calling external APIs via AWS API Gateway. With external functions, you can easily extend your data pipelines by calling out to external services, third-party libraries, or even your own custom logic, enabling exciting new use cases. For example, you can use external functions for external tokenization, geocoding, scoring data using pre-trained machine learning models, and much more.