Based on our record, gRPC should be more popular than Google BigQuery. It has been mentiond 92 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.
GCP offers a comprehensive suite of cloud services, including Compute Engine, App Engine, and Cloud Run. This translates to unparalleled control over your infrastructure and deployment configurations. Designed for large-scale applications, GCP effortlessly scales to accommodate significant traffic growth. Additionally, for projects heavily reliant on Google services like BigQuery, Cloud Storage, or AI/ML tools,... - Source: dev.to / 3 days ago
Using the Galaxy UI, knowledge workers can systematically review the best results from all configured services including Apache Solr, ChatGPT, Elastic, OpenSearch, PostgreSQL, Google BigQuery, plus generic HTTP/GET/POST with configurations for premium services like Google's Programmable Search Engine, Miro and Northern Light Research. - Source: dev.to / 10 months ago
Data Transformations: This phase involves modifying and integrating tables to generate new tables optimized for analytical use. Consider this example: you want to understand the purchasing behavior of customers aged between 20-30 in your online shop. This means you'll need to join product, customer, and transaction data to create a unified table for analytics. These data preparation tasks (e.g., joining... - Source: dev.to / 10 months ago
Introduction In today's data-driven world, transforming raw data into valuable insights is crucial. This process, however, often involves complex tasks that demand efficiency, scalability, and reliability. Enter dbt Cloud—a powerful tool that simplifies data transformations on Google BigQuery. In this article, we'll take you through a step-by-step guide on how to run BigQuery transformations using dbt Cloud.... - Source: dev.to / 11 months ago
You'll want to evaluate what BigQuery has to offer and see if it makes sense for you to move over. Source: about 1 year ago
We can take the previously mentioned idea of partitioning the database further by breaking up an application into multiple applications, each with its own database. In this case each application will communicate with the others via something like REST, RPC (e.g. gRPC), or a message queue (e.g. Redis, Kafka, or RabbitMQ). - Source: dev.to / 28 days ago
Aside from the obvious differences in client library nomenclature and use of different credentials, API usage is fairly similar. Not visually obvious is that the older platform client library calls the REST versions of the GCP APIs whereas the newer product client libraries call the gRPC versions which generally perform better... Yet another reason why the product client libraries are always recommended. - Source: dev.to / 12 days ago
The open source projects Fastly uses and the foundations we partner with are vital to Fastly’s mission and success. Here's an unscientific list of projects and organizations supported by the Linux Foundation that we use and love include: The Linux Kernel, Kubernetes, containerd, eBPF, Falco, OpenAPI Initiative, ESLint, Express, Fastify, Lodash, Mocha, Node.js, Prometheus, Jenkins, OpenTelemetry, Envoy, etcd, Helm,... - Source: dev.to / 18 days ago
Choose a consistent communication protocol for inter-service communication. Common protocols include HTTP, gRPC, and message brokers like RabbitMQ or Kafka. NestJS supports various communication strategies, allowing you to choose the one that best fits your needs. - Source: dev.to / about 1 month ago
gRPC is an open-source high-performance RPC framework developed by Google. The design goal of gRPC is to run in any environment, supporting pluggable load balancing, tracing, health checking, and authentication. It not only supports service calls within and across data centers but is also suitable for the last mile of distributed computing, connecting devices, mobile applications, and browsers to backend services.... - Source: dev.to / about 1 month ago
Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?
Apache Thrift - An interface definition language and communication protocol for creating cross-language services.
Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
Eureka - Eureka is a contact center and enterprise performance through speech analytics that immediately reveals insights from automated analysis of communications including calls, chat, email, texts, social media, surveys and more.
Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.
GraphQL - GraphQL is a data query language and runtime to request and deliver data to mobile and web apps.