Automated Machine Learning (AutoML) and Big Data Platforms

Although machine learning exists already since decades, the typical data scientist – as you would call it today – would still have to go through a manual labor-intensive process of extracting the data, cleaning, feature extraction, regularization, training, finding the right model, testing, selecting and deploying it. Furthermore, for most machine learning scenarios you do… Automated Machine Learning (AutoML) and Big Data Platforms weiterlesen

Big Data Analytics on Excel files using Hadoop/Hive/Flink/Spark

Today we have released HadoopOffice v1.1.0 with major enhancements: Based on the latest Apache POI 3.17 Apache Hive: Query Excel files and write tables to Excel files using the Hive Serde Apache Flink support for Flink Table API and Flink DataSource/DataSink Signing and verification of signatures of Excel files Example to use the HadoopOffice library… Big Data Analytics on Excel files using Hadoop/Hive/Flink/Spark weiterlesen

HadoopOffice – A Vision for the coming Years

HadoopOffice is already since more than a year available (first commit: 16.10.2016). Currently it supports Excel formats based on the Apache POI parsers/writers. Meanwhile a lot of functionality has been added, such as: Support for .xlsx and .xls formats – reading and writing Encryption/Decryption Support Support for Hadoop mapred.* and mapreduce.* APIs Support for Spark… HadoopOffice – A Vision for the coming Years weiterlesen

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… Ethereum & Analytics: Explore the blockchain using Hadoop, Hive, Flink and Spark weiterlesen

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… Big Data Analytics on Bitcoin‘s first Altcoin: NameCoin weiterlesen

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… Templates, low footprint mode, improved integration with Spark for the HadoopOffice library for reading/writing Excel files on Big data platforms weiterlesen

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:… Reading/Writing Excel documents with the HadoopOffice library on Hadoop and Spark – First release weiterlesen

Lambda, Kappa, Microservice and Enterprise Architecture for Big Data

A few years after the emergence of the Lambda-Architecture several new architectures for Big Data have emerged. I will present and illustrate their use case scenarios. These architectures describe IT architectures, but I will describe towards the end of this blog the corresponding Enterprise Architecture artefacts, which are sometimes referred to as Zeta architecture. Lambda… Lambda, Kappa, Microservice and Enterprise Architecture for Big Data weiterlesen

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… Sneak Preview – HadoopOffice: Processing Office documents using the Hadoop Ecosystem – The example of Excel files weiterlesen

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… Spark+Scala+Graphx: Analyzing the Bitcoin Transaction Graph weiterlesen