Autor: Jörn Franke
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Ethereum & Analytics: Explore the blockchain using Hadoop, Hive, Flink and Spark
HadoopCryptoLedger release 1.1.0 added support for another well-known cryptocurrency: Ethereum and its Altcoins. Of course similar to its Bitcoin & Altcoin support you can use the library with many different frameworks in the Hadoop ecosystem: Hadoop MR Apache Hive Apache Flink Apache Spark and Apache Spark Datasource API Furthermore, you can use it with various…
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Mapred vs MapReduce – The API question of Hadoop and impact on the Ecosystem
I will describe in this blog post the difference between the mapred.* and mapreduce.* API in Hadoop with respect to the custom InputFormats and OutputFormats. Additionally I will write on the impact of having both APIs on the Hadoop Ecosystem and related Big Data platforms, such as Apache Flink, Apache Hive and Apache Spark. Finally,…
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Big Data Analytics on Bitcoin‘s first Altcoin: NameCoin
This blog post is about analyzing the Namecoin Blockchain using different Big Data technologies based on the HadoopCryptoLedger library. Currently, this library enables you to analyze the Bitcoin blockchain and Altcoins based on Bitcoin (incl. segregated witness), such as Namecoin, Litecoin, Zcash etc., on Big Data platforms, such as Hadoop, Hive, Flink and Spark. A…
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Spending Time on Quality in Your Big Data Open Source Projects
Open source libraries are nowadays a critical part of the economy. They are used in commercial and non-commercial applications directly or indirectly affecting virtually any human being. Ensuring quality should be at the heart of each open source project. Verifying that an open source project ensures quality is mandatory for each stakeholder of this project,…
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Templates, low footprint mode, improved integration with Spark for the HadoopOffice library for reading/writing Excel files on Big data platforms
Although it seems to be that it was only a small improvement, version 1.0.4 of the HadoopOffice library has a lot of new features for reading/writing Excel files: Templates, so you can define complex documents with diagrams or other features in MSExcel and fill it with data or formulas from your Big Data platform in…
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Leverage the Power of Apache Flink to analyze the Bitcoin Blockchain
The hadoopcryptoledger library has been enhanced with a datasource for Apache Flink. This means you can use the Big Data processing framework Apache Flink to analyze the Bitcoin Blockchain. It also includes an example that counts the total number of transactions in the Bitcoin blockchain. Of course given the power of Apache Flink you can think…
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Reading/Writing Excel documents with the HadoopOffice library on Hadoop and Spark – First release
Reading/Writing office documents, such as Excel, has been always challenging on Big data platforms. Although many libraries exist for reading/writing office documents, they have never been really integrated in Hadoop or Spark and thus lead to a lot of development efforts. There are several use cases for using office documents jointly with Big data technologies:…
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Sneak Preview – HadoopOffice: Processing Office documents using the Hadoop Ecosystem – The example of Excel files
I present in this blog post the sneak preview of the hadoopoffice library that will enable you to process Office files, such as MS Excel, using the Hadoop Ecosystem including Hive/Spark. It currently contains only an ExcelInputFormat, which is based on Apache POI. Additionally, it contains an example that demonstrates how an Excel input file…
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Spark+Scala+Graphx: Analyzing the Bitcoin Transaction Graph
The hadoopcryptoledger library provides now an example how you can generate a Bitcoin Transaction Graph using the Big Data graph analysis technologies Spark+Scala+Graphx. Basically it demonstrates how to read the Bitcoin Blockchain from HDFS, transform it into a graph with Bitcoin addresses as vertices and transactions between them as edges. The example returns the 5…