Tag: Client

Feed: AWS Big Data Blog. Data is ubiquitous in businesses today, and the volume and speed of incoming data are constantly increasing. To derive insights from data, it’s essential to deliver it to a data lake or a data store and analyze it. Real-time or near-real-time data delivery can be cost prohibitive, therefore an efficient architecture is key for processing, and becomes more essential with growing data volume and velocity. In this post, we show you how to build a scalable producer and consumer application for Amazon Kinesis Data Streams running on AWS Fargate. Kinesis Data Streams is a fully ... Read More

Feed: Planet PostgreSQL. Greetings readers, today we're going to take a semi-break from my “doing data science in SQL” series to cover a really cool use case I just solved with regular expressions (regex) in Postgres. For those of you who have a bad taste in your mouth from earlier run-ins with regexs, this will be more use case focused and I will do my best to explain the search patterns I used ... Read More

Feed: Blog – Hazelcast. Author: Huseyin Babal. We love Golang since it helps us to automate our SaaS business with a low resource cost. If we have a Golang project, we easily compile it into any kind of distribution as you can see here. Today, we are happy to announce the Hazelcast Cloud Golang SDK to automate your Hazelcast Cloud workloads and related operations by using Golang. If you don’t have a Hazelcast Cloud account, you can sign-up for a free one here, and get API Credentials from the Developer page. Getting Started To start using Hazelcast Cloud Go SDK, ... Read More

Feed: Redis Labs. Author: Martin Forstner. Back in 2019, I wrote about how to create an event store in Redis. I explained that Redis Streams are a good fit for an event store, because they let you store events in an immutable append-only mechanism like a transaction log. Now, with an update of the sample OrderShop application introduced in that blog, I’m going to demonstrate how to use Redis as a message queue, further demonstrating Redis Enterprise’s many use cases beyond caching. A quick look at microservices, infrastructure services, and distributed systems Redis is a great solution for creating infrastructure ... Read More

Feed: Recent Announcements. Admin UI’s data model designer allows you to build a backend by focusing on your domain-specific objects (e.g., product with description and price), relationships (e.g., products have many orders), and authorization rules (e.g., only signed in users can order a product) instead of setting up database tables, APIs, and authentication infrastructure. Once defined, the admin UI automatically provisions necessary backend infrastructure such as Amazon Cognito, AWS AppSync, and Amazon DynamoDB using AWS CloudFormation. You can optionally pull the resulting stack templates into the Amplify CLI to continue development on your local machine. Connect to the backend from ... Read More

Feed: Planet MySQL; Author: Kristian Köhntopp; Kristian Köhntopp  | December 1, 2020 |  Posted In: MySQL, Open Source Databases, Tools The tables in PERFORMANCE_SCHEMA (P_S) are not actually tables. You should not think of them as tables, even if your SQL works on them. You should not JOIN them, and you should not GROUP or ORDER BY them.Unlocked memory buffers without indexesThe stuff in P_S has been created with “keep the impact on production small” in mind. That is, from a users point of view, you can think of them as unlocked memory buffers – the values in there change as you ... Read More

Feed: AWS Big Data Blog. As 2020 draws to a close, we’ve put together this post to walk you through all that’s changed in Amazon QuickSight this year. For your reading convenience, this post is broken up into the following sections: Embedded Analytics at scale Embedded analytics has been a key focus area for both independent software vendors (ISVs) and enterprises in the past year. Thousands of customers have since chosen to launch embedded dashboards in QuickSight for both their internal and external end-users, including the NFL, Blackboard, Comcast, Panasonic Avionics, EHE Health, and more, with the ability to scale ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Aileen Scott. Being an expert at developing and understanding ML, or Machine Learning algorithms, takes time and a lot of hard work. That’s why ML (machine learning) engineers are been seen constantly learning while at the job. If the learning stops, your professional growth stops. Many of us, especially the AI aspirants, think that watching tutorial videos on AI (artificial intelligence) modeling or ML algorithm development on YouTube will make them an expert at it. However, that’s not the case in the real world. AI jobs with the highest remunerations in ... Read More

Feed: Neo4j Graph Database Platform. Author: Jocelyn Hoppa. To detect fraud fast, analysts need to see a real-world view of the data. Visualizations help answer the key questions: Who was involved? Where and when did it happen? What assets do they hold? And most importantly, how are each of these details connected? In this blog post, I use Neo4j and the other premium tools in GRANDstack to build a graph and timeline visualization app that drives fraud investigations.Focusing on fraud in Wikipedia articles about 2020 U.S. election presidential candidates, we’ll explore why an anomaly detection platform featuring dedicated timeline analysis ... Read More

Feed: Planet MySQL; Author: Vitess; Django is a popular framework for Python application developers. It includes packages which make tasks like authorization and content administration easier. Django supports a number of databases including MySQL which makes it possible to run a Django application over Vitess without having to change the application code. Let’s take a look at how to combine the strengths of these two open source frameworks.We built this example using Vitess operator. You can see the details of the implementation in the blog post Vitess Operator for Kubernetes.Prerequisites Python environment locally (3.X)Kubernetes access (minikube, GKE)Support for Django ORM ... Read More