#Tweetadder 3.0 plus#
A big plus of this tool, compared to the other two mentioned above, is that it queries natively Kafka via a dedicated connector. One of the tools that fits in this category is Presto, a distributed query engine belonging to the same family of Impala and Drill commonly referred as sql-on-Hadoop. It opened a whole bundle of opportunities to query tools not officially supported by DVD but that expose those type of connectors. The enhancement, amongst others, that made my day was the support for JDBC and ODBC drivers. This year it was Oracle Data Visualization Desktop 12.2.3.0.0 with a bunch of new features covered in my previous blog post. We wrote at the beginning of the year a blog post about doing it with Spark Streaming and Python however that setup was more data-scientist oriented and didn't provide a simple ANSI SQL familiar to the beloved end-users.Īs usual, Oracle annouced a new release during Kscope. However the "parking to data-store" step can sometimes be omitted with analytical tools querying directly Kafka for real-time analytics. One of the key points of all Kafka-related discussions at Kscope was that Kafka is widely used to take data from providers and push it to specific data-stores (like HDFS) that are then queried by analytical tools. I wont go in detail on what's the specific role of Kafka and how it accomplishes, You can grab the idea from two slides taken from a recent presentation by Confluent. Two weeks ago I was at Kscope17 and one of the common themes, which reflected where the industry is going, was the usage of Kafka as central hub for all data pipelines. I deliberately excluded Andy Murray from the list above since he kicked out my favourite player: Dustin Brown.
Last week there was Wimbledon, if you are a fan of Federer, Nadal or Djokovic then it was one of the events not to be missed.
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