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5 Emerging Ideas in hadoop Technology which are in Trending

This presentation describes the current trends in Hadoop technology. we offer courses and training for Hadoop. Hadoop training in Chennai is the best center for effective learning

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5 Emerging Ideas in hadoop Technology which are in Trending

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  1. 5 Emerging Ideas in Hadoop Technology which are in Trending Copyright 2008 PresentationFx.com | Redistribution Prohibited | Image © woodsy/sxc.hu | This text section may be deleted for presentation.

  2. 1. WEB NOTEBOOKS Web notebooks are a way to write code within the web browser and have it run against a cluster of servers. Generally, web notebooks can support languages such as Scala and Python, as well as more basic languages such as HTML and Markdown, which allow the creation of a notebook that can be presented more easily Integration of SQL into web notebooks has also become a more popular feature, although the capabilities of web notebooks vary greatly. The only current limitation of these notebooks lies within the realm of security. Currently there is no real security model in these web notebooks, but by putting a web server in front of them, some level of security can be achieved. • • • • • Copyright 2008 PresentationFx.com | Redistribution Prohibited | Image © woodsy/sxc.hu | This text section may be deleted for presentation.

  3. 2. ALGORITHMS FOR MACHINE LEARNING The application of machine-learning algorithms is a hot topic, and there are a number of important reasons for this. The first is that most people can see the potential of leveraging machine-learning algorithms to gain more insights into the data they have. Whether creating a recommendation engine, personalizing a website, identifying anomalies, or detecting fraud, the popularity of this area is strong. A New Look at Anomaly Detection and Practical Machine Learning: Innovations in Recommendation can each be read within a few hours. • • • • Copyright 2008 PresentationFx.com | Redistribution Prohibited | Image © woodsy/sxc.hu | This text section may be deleted for presentation.

  4. 3. SQL ON HADOOP Apache Hive is the SQL-on-Hadoop technology that has been around the longest, and is probably the most widely used. The Hive Metastore can be leveraged by other technologies such as Apache Drill. The benefit in this case is that Drill can read the metadata from Hive and then run the queries itself. Instead of depending upon the Hive MapReduce runtime. This approach is significantly faster and is one of the preferred ways of using Hive. Now that you understand the background of SQL on Hadoop, let’s take a look at two technologies that are gaining the most traction in this space • • • • •

  5. 4. STREAM PROCESSING TECHNOLOGIES “the” framework used. There are so many projects (free and paid) in this space that it can make your head spin: Apache Flink, Spark Streaming, Apache Apex (incubating), Apache Samza, Apache Storm, and Akka Streams, as well as StreamSets Apache Storm was once considered the leader in this technology area. While it is true that the use of Apache Storm is declining. The Storm API will likely live a long time. It has now been adopted by private code bases such as Twitter’s Heron, and it is also supported by Apache Flink. Apache Beam is a rising star when it comes to frameworks for both batch and streaming data-parallel processing pipelines. It runs on both Flink and Spark and is worth keeping an eye on. It seems these days that everyone wants their stream processing framework to be • • • • •

  6. 5. MESSAGING PLATFORMS They can be used to create scalable architectures and are taking off like crazy across many organization The top reason that the messaging platform model is so important is that it can support huge volumes of events. Less than 10 years ago, people would get excited about being able to handle 50,000 to 100,000 message events per second on a server. The cost to scale this platform is very low, which means a properly built application can scale without re-architecting the entire platform. To perform data movement or having to enable development and quality assurance teams to test with production payloads. The value is tremendous. While stream processing engines are hot, messaging platforms are probably hotter. • • • • •

  7. CONVERGED ARCHITECTURAL APPROACH As you can see, there are a lot of technology areas to keep an eye on. Be thoughtful about how you leverage these new technologies. They bring with them the ability to think differently by simplifying business processes, which can enable a business to directly integrate analytics into core business functions. Many of the technologies in the Hadoop ecosystem are considered big data technologies. We provide training for Hadoop technology. Don’t hesitate to contact us:805627677 • • • www.datawaretools.in/chennai/

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