Data scientists – the analytical professionals who straddle the line between statistician and software engineer – are in demand like never before. Due to the scarcity of data science talent, it has become increasingly important for data scientists to spend less time answering one-off questions and more time building analytical …
Everyone knows that big data is here to stay, and one of the best NoSQL solutions out there is Hadoop. MySQL DBAs will need to know when to adjust and leverage Hadoop within their environment and even start using and administering Hadoop clusters.
The MapReduce programming model enables developers without experience with parallel or distributed systems to use the resources of a large system and process big data. Apache Hadoop implements the MapReduce model. The combination of the RDBMS and MapReduce is being researched.
This talk explores the Netflix Data Science & Engineering architecture. Not just the what, but also the why. Some key topics include the big data technologies we leverage (Cassandra, Hadoop, Pig + Python, and Hive), our use of Amazon S3 as our central data hub, our use of multiple persistent …
This talk discusses real world production use cases of Hadoop, HBase and Hive. The characteristics of each system are explained in the context of how they can be used together to build large scale data infrastructure that blurs the line between realtime applications and data warehouses.
Adobe has been working with Hadoop and HBase since 2008. This presentation goes through different uses cases of computational problems, such as analytics, business intelligence, machine learning on large volumes of data including logs, Flash, image and video metadata, etc. describing some of the most interesting aspects in each case …
