bigquery-utils
google-cloud-cpp
bigquery-utils | google-cloud-cpp | |
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6 | 42 | |
1,037 | 513 | |
1.5% | 1.0% | |
6.1 | 9.9 | |
about 23 hours ago | 3 days ago | |
Java | C++ | |
Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
bigquery-utils
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Swirl: An open-source search engine with LLMs and ChatGPT to provide all the answers you need đ
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.
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Modern data stack: scaling people and technology at FINN
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 fragmented data) for analysis are essentially what "Data Transformations" entail. At FINN, technologies utilized in this phase include BigQuery as a data warehouse, dbt for data transformation, and a combination of GitHub Actions and Datafold for quality assurance.
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Running Transformations on BigQuery using dbt Cloud: step by step
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 Cloudâa 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. Let's dive in!
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Do I need a cloud computingâbased data cloud company
You'll want to evaluate what BigQuery has to offer and see if it makes sense for you to move over.
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I used ChatGPT to get an Internship
Watch the introductory videos on BigQuery on the Google Cloud Platform website (https://cloud.google.com/bigquery)
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Wrangling BigQuery at Reddit
Within the audit logs you can find BigQueryAuditMetadata details in the protoPayload.metadataJson submessage in the Cloud Logging LogEntry message. GCP has offered several versions of BigQuery audit logs so there are both older âv1â and newer âv2â versions. The v1 logs report API invocations and live within the protoPayload.serviceData submessage while the v2 logs report resource interactions like which tables were read from and written to by a given query or which tables expired. The v2 data lives in a new field formatted as a JSON blob within the BigQueryAuditMetadata detail inside the protoPayload.metadataJson submessage. In v2 logs the older protoPayload.serviceData submessage does exist for backwards compatibility but the information is not set or used. We scrape details from the JobChange object instead. We referenced the GCP bigquery-utils Git repo for how to use INFORMATION_SCHEMA queries and audit logs queries.
google-cloud-cpp
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Using NetBird for Kubernetes Access
In this article, you'll learn how to set up the NetBird CLI to ensure a secure connection to a Kubernetes cluster on the Google Cloud Platform (GCP), complete with a fail-safe route for uninterrupted access.
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Experience Continuous Integration with Jenkins | Ansible | Artifactory | SonarQube | PHP
Try to utilize your AWS free tier as much as you can, you can also register a new account if you have exhausted the current one. Alternatively, you can use Google Cloud (GCP) to rent virtual machines from this cloud service provider - you can get $300 credit here or here (NOTE: Please read instructions carefully to get your credits)
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The 2024 Web Hosting Report
A VM is the original âhostingâ product of the cloud era. Over the last 20 years, VM providers have come and gone, as have enterprise virtualization solutions such as VMware. Today you can do this somewhere like OVHcloud, Hetzner or DigitalOcean, which took over the âserverâ market from the early 2000âs. Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft's Azure also offer VMs, at a less competitive price. In their case, the VMs are either a building block for other services or the value is in the ecosystem. See the section on public cloud below for more.
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Google? What happened?
But I sus on a webpage: cloud.google.com
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Cloud Management Console vs Cloud Management CLI Platform
If you don't already have a GCP account, visit the Google Cloud Platform website (https://cloud.google.com or https://cloud.google.com/gcp/) and sign up for a GCP account.
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đ React to the Clouds âď¸: A Guide to Effortless GCP Deployment
Google Cloud Platform Account: You'll need a GCP account. If you don't have one, you can sign up here.
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Your first API with GO & Nitric
An AWS, GCP or Azure account (your choice)
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Deployment (GitHub actions, Bitbucket pipelines), the stupid way
That is what the YAML is for. Securely send data to a specific cloud service ( AWS, Google Cloud, Azure ). They call the whole process, CI/CD, deployment, etc etc etc. (Hey picky, I know they are not the same, but they kind of are.)
- Wenn du international arbeitest, sollten es deine Texte und Inhalte auch. Google Cloud bietet KI-gestĂźtzte Ăbersetzungen fĂźr 135 Sprachen â mit nur wenigen Klicks.
What are some alternatives?
solr - Apache Solr open-source search software
vercel - Develop. Preview. Ship.
swirl-search - Swirl is an open-source search platform that uses AI to search multiple content and data sources simultaneously and return AI-ranked results. And provides summaries of your answers from searches using LLMs. It's a one-click, easy-to-use Retrieval Augmented Generation (RAG) Solution.
aws-lambda-java-libs - Official mirror for interface definitions and helper classes for Java code running on the AWS Lambda platform.
DataflowTemplates - Cloud Dataflow Google-provided templates for solving in-Cloud data tasks
Pulumi - Pulumi - Infrastructure as Code in any programming language. Build infrastructure intuitively on any cloud using familiar languages đ
dataproc-templates - Dataproc templates and pipelines for solving simple in-cloud data tasks
terraform-provider-oci - Terraform Oracle Cloud Infrastructure provider
spark-bigquery-connector - BigQuery data source for Apache Spark: Read data from BigQuery into DataFrames, write DataFrames into BigQuery tables.
carbon-lang - Carbon Language's main repository: documents, design, implementation, and related tools. (NOTE: Carbon Language is experimental; see README)
appengine-java-standard - Google App Engine Standard Java runtime: Prod runtime, local devappserver, Cloud SDK Java components, GAE APIs, and GAE API emulators.
nitric - Nitric is a multi-language framework for cloud applications with infrastructure from code.