data.gov
nodejs-bigquery
data.gov | nodejs-bigquery | |
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26 | 43 | |
514 | 457 | |
4.9% | 0.9% | |
7.9 | 8.0 | |
21 days ago | 7 days ago | |
Shell | TypeScript | |
GNU General Public License v3.0 or later | Apache License 2.0 |
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data.gov
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Where does everyone get shapefiles/basemaps?
data.gov may have additional material regarding Federal parcels / properties.
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Open Data Is Dead
I wouldn't have considered any of the four bullet points "open data". I would consider
https://data.gov/
Wikidata and many other things "open". It's my own (partially true) opinion that open data is downloadable as a data dump, anything involving an API is like breathing through a straw.
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Legislative records House of Representatives?
Does anyone know of a data source where I could gather laws passed/blocked and their sponsors? I tried the data.gov API for legislative info, but that source limits any data dump to 250 records, far from being enough to cover any given year.
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OnlyOffice: Free open source office suite with business productivity tools
This is all completely irrelevant. No office suite user gives a shit what the Library of Congress thinks about database formats, because spreadsheets are not databases, no matter how often you personally conflate the two.
Furthermore, the LoC's job is archiving. Your links have "preservation" in the url for a reason, and "preservation" is not what people do with spreadsheets. To strive for relevance, explore https://data.gov, where CSV is abundant, because it's in use by literally hundreds of state and federal agencies, often by people using spreadsheet software, and will continue to be so for years or decades to come, whether you understand why or not.
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API’s role in digital government: 10 national best practices
The US Government is known for its data.gov initiative, where it has standardized the APIs across all federal agencies. This initiative has led to better consistency, security, and interoperability, thereby enhancing the data and services' value. They are used the API management tool to enforce strict encryption and access control measures, providing secure access to the vast amount of public data hosted by federal agencies.
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Struggling with finding a use case to work on for my Course Work
However, for my next coursework we should be using our own datasets which should be supervised learning in nature and they cannot be from Kaggle or UCI (we lose 30 points if we use any of these sources for our datasets. I have spent about a week to look for datasets and I am a bit confused and also unable to understand which dataset to use or what kind of use cases should I look at. I did explore data.gov but I kind of just freeze because I am unable to understand what use case I can create of the database. I can't use clustering problem because that would be unsupervised in nature.
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Semi-niche peat mapping question- please help!
My first thought were the GIS services and catalogues listed on the Maryland state website (https://doit.maryland.gov/support/Pages/GIS.aspx) USGS National Geologic Map database (https://ngmdb.usgs.gov/ngm-bin/ngm_compsearch.pl) and the more-general federal open data portal (https://data.gov/). I didn't find many promising results for "peat" on any of them, but you might have better luck.
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Where can I find data about India on anything
Yes, I have opened data.gov many times but always find that most of the categories have no datasets and any dataset which is avilable have insufficient data. It's useless.
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D214 Capstone Data Ideas
Government data: https://data.gov/
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Update of the RDF and SPARQL (RDF star) families of specifications
The U.S. Open Data catalog [1] has all the metadata and even some data as Linked Data, same with the European Open Data catalog [2]
[1]: https://data.gov/
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
What are some alternatives?
dev-machine - Ansible setup for maintaining a development environment
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.
X-Road - Source code of the X-Road® data exchange layer software
dbt-core - dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
bcapps
dagster - An orchestration platform for the development, production, and observation of data assets.
lv2 - The LV2 audio plugin specification
rudderstack-docs - Documentation repository for RudderStack - the Customer Data Platform for Developers.
sf-tree-history - Tracking the history of trees in San Francisco
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]
manjaro-playbook - Manjaro/Arch Linux Ansible provision playbook
streamlit - Streamlit — A faster way to build and share data apps.