Monat: Oktober 2017
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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,…