Apache Pig
Looker
Jupyter
Google BigQuery
Presto DB
Databricks
Rakam
Informatica
Data Analytic System
CoinGecko
CoinMarketCap
Crypto Price Monitor
Cryptoradar
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OpenMarketCap
Data Analytic System (DAS) is an educational crypto-market platform run by Data Analytic Investments Kft. (Budapest, EU).
What it offers: - Live, sourced market-data dashboards for BTC, ETH, XRP, SOL and other major assets, plus equity indices, FX and commodities - A MiCA / CASP authorisation status tracker for EU exchanges, based on ESMA data - Documentary, source-backed market studies and research articles - A free glossary of key terms and 8 free learning modules - Multilingual educational e-books (English, Hungarian, Spanish), including 'RIPPLE - An Unofficial Documentary Study of Ripple and the XRP Ledger', a 22-chapter book in which every factual claim carries a named, verifiable source
Every data panel names its source. The content is produced with a documented human+AI verification workflow (Uncle Sunny Academy).
Social: https://www.youtube.com/@dataanalyticsystem - https://www.instagram.com/dataanalyticsystem/ - https://www.tiktok.com/@dataanalyticsystem.com - https://www.facebook.com/dataanalyticsystem - https://x.com/dataanalyticsys
Educational content only - not investment advice. Independent publication, not affiliated with Ripple Labs Inc.
Data Analytic SystemApache Pig is recommended for data engineers and analysts who are working in Apache Hadoop environments and need to perform ETL (Extract, Transform, Load) operations on large datasets. It is also suitable for teams looking to leverage existing Hadoop infrastructures without delving into complex Java MapReduce programming or when migrating legacy processing scripts based on Pig Latin.
Data Analytic System's answer:
Price trackers like CoinGecko or CoinMarketCap show numbers; Data Analytic System shows the numbers together with their source, date and context, and adds what trackers do not: an ESMA-based MiCA/CASP status list for EU exchanges, sourced documentary studies, a free glossary and learning modules, and multilingual e-books (EN, HU, ES). The free tier has no delay and the same data as the paid tier. We do not sell trading calls or recommendations of any kind.
Data Analytic System's answer:
Every data panel and every article names its source and date. The platform is run by a small Budapest-based publisher (Data Analytic Investments Kft.) and combines live market data for crypto, equity indices, FX and commodities with an EU MiCA/CASP authorisation tracker, a free glossary and learning modules, and documentary studies such as the RIPPLE book, in which every factual claim carries a verifiable reference. Content is produced with a documented human+AI verification workflow (Uncle Sunny method): a human editor closes every item. Educational content only, not investment advice.
Data Analytic System's answer:
People who want to understand crypto and macro markets rather than be told what to do: self-directed readers, students, journalists and compliance-minded professionals in the EU, plus Hungarian- and Spanish-speaking readers who lack sourced material in their language. Typical use: checking a data point with its source, reading the MiCA status of an exchange, or working through a learning module.
Data Analytic System's answer:
Data Analytic Investments Kft. was founded in Budapest in 2026 by Janos Szabo. The starting point was frustration with crypto content that mixes facts, opinion and promotion without references. The answer was a publishing method (Uncle Sunny) in which nothing is published before it is challenged and sourced, and a site built around that rule. The first flagship product was the RIPPLE documentary study (ISBN 978-615-83207 series, HU/EN/ES); the market-data dashboards, the MiCA tracker and the learning sections followed.
Data Analytic System's answer:
A TypeScript/React web application with server-side rendering, a MySQL database, and Stripe for payments. Market data comes from public exchange and data-provider APIs; regulatory data from ESMA registers. The editorial workflow uses several AI systems under human review, with every published claim tied to a named source.
Based on our record, Apache Pig seems to be more popular. It has been mentiond 2 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.
Pig, a platform/programming language for authoring parallelizable jobs. - Source: dev.to / almost 4 years ago
In the early days of the Big Data era when K8s hasn't even been born yet, the common open source go-to solution was the Hadoop stack. We have written several old-fashioned Map-Reduce jobs, scripts using Pig until we came across Spark. Since then Spark has became one of the most popular data processing engines. It is very easy to start using Lighter on YARN deployments. Just run a docker with proper configuration... - Source: dev.to / almost 5 years ago
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CoinGecko - CoinGecko is a free to use web-based and mobile application that provides financial market data for more than 2000 digital currencies.
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.
CoinMarketCap - Crypto-currency market capitalizations.
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
Crypto Price Monitor - Track crypto prices and get email alerts for Bitcoin, Ethereum, Solana, and more.
