Big Data Explained

Cloud data warehouse list prices, read daily from AWS and Azure pricing APIs, with price history

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No keyHTTPSNo CORSOpen Data

Verified today: 100% uptime

API key

Not required

HTTPS

Supported

Browser calls

No, needs a proxy

Status

Live · 100/100

Overview & Architectural Role

Big Data Explained provides programmatic access to cloud data warehouse list prices, read daily from aws and azure pricing apis, with price history. Delivered over secure HTTPS protocols, it exposes structured endpoints designed to integrate cleanly into modern frontend frameworks, backend microservices, and automated data pipelines without requiring local database provisioning.

Who it is built for

Engineers building web dashboards, mobile applications, CLI utilities, or background cron workers in need of reliable open data data feeds.

Architectural Advantage

Consuming Big Data Explained removes the operational overhead of running custom scrapers, orchestrating headless browser fleets, or manually seeding and maintaining a local database. Instead of reverse-engineering volatile DOM layouts or dealing with anti-bot IP blocks, your application connects directly to a standardized JSON interface designed for backend ingestion with consistent schema schemas. Zero-authentication access allows rapid prototyping and zero-credential static deployments.

What our checks found

Health score: 100/100
Reliability: 100%
Average latency: 1722ms

Last checked 2026-10-24. Measured independently, not self-reported by the provider.

Core Use Cases & Architecture Ideas

Practical real-world patterns for integrating Big Data Explained into software systems.

Automated SaaS Feature Integration

Embed data and functionality from Big Data Explained directly into application onboarding, profile enrichment, or reporting dashboards.

Architecture: Backend service worker fetches Big Data Explained during user workflows, caches responses in Redis, and hydrates UI state.

Scheduled Reporting & Monitoring Bot

Periodically extract updates from Big Data Explained to generate daily digests, analytics reports, or Slack notifications.

Architecture: A scheduled GitHub Action or cron worker executes a lightweight script calling Big Data Explained, formatting markdown summaries for stakeholders.

Rapid Prototyping & Hackathon Showcase

Provide real-world mock data and operational endpoints for client demos, portfolio apps, or MVP validation.

Architecture: Static client SPA queries Big Data Explained directly to populate mock dashboards, graphs, and interactive UI states without a custom backend.

Code Implementation Examples

Production-ready starting templates with error handling for Big Data Explained.

// No authentication required.
// Modern native fetch with error handling
async function callApi() {
  try {
    const response = await fetch('https://bigdataexplained.com/api/v1/resource', {
      method: 'GET',
    headers: { Accept: 'application/json' },
    });

    if (!response.ok) {
      throw new Error(`HTTP ${response.status}: ${response.statusText}`);
    }

    const data = await response.json();
    console.log('Response payload:', data);
    return data;
  } catch (error) {
    console.error('API request failed:', error);
    throw error;
  }
}

// callApi();

This API does not send CORS headers, so a browser will block a direct call from your front end. Call it from your server, or put a small proxy in front of it.

Response Payload & Live Testing

Inspect the expected JSON structure returned by Big Data Explained.

Expected JSON Response Payload

Authentic sample payload structure to evaluate schema attributes before integration.

{
  "status": 200,
  "api": "Big Data Explained",
  "endpoint": "/big-data-explained",
  "data": {
    "id": 101,
    "title": "Big Data Explained Sample Payload",
    "description": "Cloud data warehouse list prices, read daily from AWS and Azure pricing APIs, with price history",
    "verified": true,
    "category": "Open Data",
    "updated_at": "2026-10-24T07:39:02.934Z"
  },
  "meta": {
    "response_time_ms": 1722,
    "cached": false
  }
}

Format: application/json

Integration Considerations & Best Practices

Technical factors to keep in mind when integrating Big Data Explained into production environments.

Implement In-Memory or Edge Caching

Avoid triggering rate limits on public feeds by caching response payloads in Redis, Vercel KV, or standard HTTP Cache-Control headers with a 5-to-15 minute TTL.

Zero-Credential Environment Protection

While no API key is required, public keyless pools often share global rate limits. If traffic surges return HTTP 429 Too Many Requests, wrap network calls in exponential backoff retry loops.

CORS Proxy Required for Browser Frontend Calls

This API does not send Access-Control-Allow-Origin response headers. Direct fetch() calls from browser JavaScript will fail due to Same-Origin Policy. Route your calls through a server backend or lightweight edge proxy.

Validate HTTP Status Before Parsing JSON

Always inspect response.ok before executing response.json(). Upstream services returning 4xx or 502 Bad Gateway often serve HTML error pages, which cause syntax errors when parsed as JSON.

Where this listing comes from

Fixed Philippine PCSO draw results and schedules with row-level provenance

No keyCORSHTTPS

Verified today: 100% uptime

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Big Data Explained — common questions

Answered from what our own scheduled checks found, not from the provider's marketing.

Is Big Data Explained free to use?

Big Data Explained is listed in our free catalogue and required no credential when we called it. It needs no authentication at all, so you can send a request without signing up. Free tiers can still carry rate limits or non-commercial terms, so check the provider's own terms before shipping.

Does Big Data Explained need an API key?

No. We called Big Data Explained on 2026-10-24 with no key, no token and no Authorization header, and it responded. That is what puts it in our no-key collection.

Can I call Big Data Explained from browser JavaScript?

Not directly. Big Data Explained did not return CORS headers when we checked, so the browser will block your page from reading the response even though the request itself succeeds. Call it from a server, or put a small proxy in front of it.

Is Big Data Explained still working?

Yes, as of 2026-10-24. Our automated check reached Big Data Explained and recorded a 100% reliability score with a median response time of 1722 ms. We re-check on a schedule, and this page updates with the result.

Is Big Data Explained available over HTTPS?

Yes. Big Data Explained serves over HTTPS, so you can call it from a secure page without triggering a mixed-content block.