nodejs-bigquery
google.cloud
nodejs-bigquery | google.cloud | |
---|---|---|
43 | 71 | |
457 | 94 | |
0.9% | - | |
8.0 | 7.3 | |
3 days ago | about 1 month ago | |
TypeScript | Python | |
Apache License 2.0 | GNU General Public License v3.0 only |
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.
nodejs-bigquery
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Wrangling BigQuery at Reddit
If you've ever wondered what it's like to manage a BigQuery instance at Reddit scale, know that it's exactly like smaller systems just with much, much bigger numbers in the logs. Database management fundamentals are eerily similar regardless of scale or platform; BigQuery handles just about anything we throw at it, and we do indeed throw it the whole book. Our BigQuery platform is more than 100 petabytes of data that supports data science, machine learning, and analytics workloads that drive experiments, analytics, advertising, revenue, safety, and more. As Reddit grew, so did the workload velocity and complexity within BigQuery and thus the need for more elegant and fine-tuned workload management.
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Building a dev.to analytics dashboard using OpenSearch
Now I know I've got some data I could use, I now need to find a platform that I can use to analyse the data coming from the Forem API. I did consider some other pieces of software, such as Google BigQuery (with looker studio) and ElasticSearch (with Kibana), I ultimately went with OpenSearch which is essentially a forked version of ElasticSearch maintained by AWS. The main reasons are that I could host it locally for free (unlike BigQuery). I do have some prior experience with both elastic (back when it was called ELK) and OpenSearch, but my work with OpenSearch was far more recent, so I decided to go with that.
- Como evitar SQL Injection utilizando client do BigQuery
- Learning Excel. Is there a resource for fake data sets like retail and wholesale inventories and sales histories etc for testing and practice?
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How to Totally Fubar Your Cloud Infrastructure Costs
First, in one of our recent projects, we helped our client to run the cloud-based infrastructure of their entirely automated, real-time SEO platform. The solution rested in the safe familiarity of Google’s popular cloud-based data centres (i.e. Google Cloud Platform), whilst also making use of BigQuery — a serverless, multi-cloud data warehouse.
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Data Analytics at Potloc I: Making data integrity your priority with Elementary & Meltano
Bigquery as our data warehouse
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I've tried really hard but need some help please. Bigquery not returning data after 2019.
This post in github thinks it may be an error in bigquery's backend.
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Deploying a Data Warehouse with Pulumi and Amazon Redshift
A data warehouse is a specialized database that's purpose built for gathering and analyzing data. Unlike general-purpose databases like MySQL or PostgreSQL, which are designed to meet the real-time performance and transactional needs of applications, a data warehouse is designed to collect and process the data produced by those applications, collectively and over time, to help you gain insight from it. Examples of data-warehouse products include Snowflake, Google BigQuery, Azure Synapse Analytics, and Amazon Redshift — all of which, incidentally, are easily managed with Pulumi.
- [Question] Which GCP tool should I use to build a Business decisional dashboard?
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Designing a Video Streaming Platform 📹
Google BigQuery
google.cloud
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Stadia’s pivot to a cloud service has also been shut down
If you're talking general cloud services, Google still does plenty of that. Stadia was being turned into a specific streaming thing that's now also dead, but that's separate from the rest of their cloud stuff.
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How Does Edge Computing Reduce Latency For End Users?
Cloud Services: Cloud service providers, such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP), offer edge computing services that make it easier to deploy and manage edge computing devices. These services provide tools and platforms that simplify edge computing development and deployment, reducing the time and cost required to develop and deploy edge computing solutions.
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Day 0 - Creating Your Own Server - with Google Cloud Platform Free Tier
These instruction will walk you through using Google Cloud "Free Tier" (https://cloud.google.com) as your VPS hosting provider. They are rated highly, with a very simple and slick interface. Although we'll be using the Free Tier, be warned that you will need to provide valid credit card information. (Of course, if you have a strong reason to use another provider, then by all means do so, but be sure to choose Ubuntu Server 20.04)
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Largest Data Centers in France Based on Consumption and Surface
PAR 7 is one of the data camps Interxion has in France, and at the same time the newest. PAR7 is also known for its multiple collaboration with the largest cloud providers, such as Microsoft Azure, AWS, and Google Cloud.
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Deploying a MERN App to AWS Elastic Beanstalk with CI/CD
If you haven't been living under a rock, you've probably heard of AWS. It is an abbreviation for Amazon Web Services. AWS (by Amazon) offers a wide range of cloud computing services, such as computing, storage, database, analytics, machine learning, networking, mobile, developer tools, security, and enterprise applications. for all of your requirements, eliminating the need for you to set up your own servers. It provides a flexible and scalable infrastructure that can be tailored to each user's unique requirements, and it is widely regarded as one of the leading cloud platforms available today. Google Cloud (by Google) and Azure (by Microsoft) are both major competitors to AWS.
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2023 Development Tool Map
https://cloud.google.com/docs/overview
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Vercel vs Netlify: Battle of the Jamstack Giants
Netlify and Vercel are multi-cloud platforms, meaning they equally employ GCP and AWS for their infrastructure.
- would anyone like to join my hypixel smp (mc 1.19.3)
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FREE GOOGLE CLOUD RDP FOR 1 YEAR | HQ GUIDE + FOREVER WORKING
1) Create your Google account. If you're using a CC/VCC with a name set, I'd recommend you fill the Name and Surname fields with the ones on the CC. 2) Proceed to https://cloud.google.com and sign up for the 365 day trial. 3) Use your CC/VCC to set up the trial. No charges to your CC/VCC will be made. 4) Create a new VPS in Compute Engine => VM Instances. 5) Done! You now have a free VPS. You can set any configuration and location you'd like. Can be used again only when the old account's trial expires.
- Microsoft announces new A.I.-powered Bing homepage that you can chat with
What are some alternatives?
airbyte - The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.
apisix-dashboard - Dashboard for Apache APISIX
dbt-core - dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
helm-charts - Helm Charts published by Bedag Informatik AG
dagster - An orchestration platform for the development, production, and observation of data assets.
nitric - Nitric is a multi-language framework for cloud applications with infrastructure from code.
rudderstack-docs - Documentation repository for RudderStack - the Customer Data Platform for Developers.
vercel - Develop. Preview. Ship.
dbt - dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications. [Moved to: https://github.com/dbt-labs/dbt-core]
opentelemetry-helm-charts - OpenTelemetry Helm Charts
streamlit - Streamlit — A faster way to build and share data apps.
unified-observability-k8s-kubecon - Unified Observability for Kubernetes at KubeCon NA '22