“Werken aan de mooiste projecten op het gebied van fact-based decision making”, dat is wat we doen bij de BI & Advanced Analytics unit! Onlangs is onze collega Hubert Ilčík aan een nieuwe opdracht begonnen. Benieuwd naar wat hij doet en wat hij ervan vindt? Lees dan hieronder verder.

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It is already a long time ago that I wrote a blog about streaming data with the ELK stack. Today you see a lot of the so called “no code” solutions. You need only some configurations and that’s it! In this blog I use Microsoft Flow and Microsoft Power BI with the focus on streaming data.

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When work gets done during business days, that’s what this blog post is about. Moreover, when also the amount of business days is known upfront.

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The Rise of Data Science Notebooks

Apache Zeppelin is a web-based notebook that enables interactive data analytics. You can make beautiful data-driven, interactive and collaborative documents with SQL, Scala or Python and more. However Apache Zeppelin is still an incubator project, I expect a serious boost of notebooks like Apache Zeppelin on top of data processing (like Apache Spark) and data storage (like HDFS, NoSQL and also RDBMS) solutions. Read more on my previous post.

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Apache Zeppelin is a web-based notebook that enables interactive data analytics. You can make beautiful data-driven, interactive and collaborative documents with SQL, Scala or Python and more. However Apache Zeppelin is still an incubator project, I expect a serious boost of notebooks like Apache Zeppelin on top of data processing (like Apache Spark) and data storage (like HDFS, NoSQL and also RDBMS) solutions.

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There are a lot of possibilities with Big Data tools on the today’s market. For example if we want to stream and analyse some tweets there are several ways to do this. For example:

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First install CentOS 7 (minimal) (CentOS-7.0-1406-x86_64-DVD.iso)

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Suppose we want store al our “mongodb” tweets in a MongoDB database.

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Suppose we will fetch some Amazon AWS news into a MongoDB database. These few lines made it possible with the use of Groovy and the Gmongo module:

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After we find out how replication works with MySQL lets look at mongoDB

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For a project we need a second MySQL database for reporting, so whe can split the day to day business (forms) and the analytic reporting. Another thing is that the data must be very actual, so a nightly backup is not really an option.

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In my latest post about Amazon Beanstalk I explained how to deploy to Amazon Beanstalk in 3 simple steps. Of  course this a manual activity. We often deploy new versions of apps to Amazon Beanstalk, so it is a ‘must have’ to automate this proces.

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