Kategorie: analytics
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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…
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Hive & Bitcoin: Analytics on Blockchain data with SQL
You can now analyze the Bitcoin Blockchain using Hive and the hadoopcryptoledger library with the new HiveSerde plugin. Basically you can link any data that you loaded in Hive with Bitcoin Blockchain data. For example, you can link Blockchain data with important events in history to determine what causes Bitcoin exchange rates to increase or…
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Using Apache Spark to Analyze the Bitcoin Blockchain
The hadoopcryptoledger library provides now a simple example how you can analyze the Bitcoin Blockchain with Apache Spark. Previously, I described how you can use Hadoop MR or any other Hadoop ecosystem-compatible application to analyze it. Basically, it leverages the HadoopRDD API to read the Hadoop File Format of the hadoopcryptoledger library. Afterwards you can…
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Analyzing the Bitcoin Blockchain using the Hadoop Ecosystem – A first Approach
Bitcoin and other crytocurrencies have drawn a lot of attention of companies, public organizations and individuals. While many use cases exists there is still a long road ahead to make them part of everybody’s life. The recently released first version of the open source hadoopycryptoledger library is a first attempt to make this happen. It…
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Big Data Lab in the Cloud with Hadoop+Spark+R+Python
This is an update of the second big data lab for the cloud. Similar to previous versions, this document described how you can create a Big Data Lab in the cloud on Amazon EMR. Besides some major upgrades to the newest Amazon Hadoop AMI (3.6.0) Spark (1.3.0) and R, it includes now also the possibility…
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Update: Next Generation Big Data Lab V2 in the Cloud
Recently, I presented the first version of the Big Data Lab in the cloud. Now I extended this version and kept most of the features of the previous version. However, I provide upgrades for important software components. It still runs on Amazon EMR, but with the newest Amazon AMI (including Amazon Linux). It now features…