Top all-time · #3121
mapr.com
Company blog · mapr.com/blogdataprogramming
mapr.com is the company blog at mapr.com, writing about data and programming. Since 2011, 25 different Hacker News readers have linked it 56 times, most often “How to Guide: Getting Started with Apache Drill”. No feed was found, so read it on the site itself.
Too few sampled comments (13) to say how often HN recommends it.?
Why HN links it
HN commenters mostly link MapR blog posts, product pages and datasheets while discussing Hadoop, Spark, HBase and streaming systems. The comments do not evaluate the writing itself.
Summarised by Claude from a sample of 13 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.
Most-linked posts?
- How to Guide: Getting Started with Apache Drill2 people · 2 mentions · first linked 2016-09-20
What Hacker News says?
Kafka has come a long way. Kudos to confluent team. I came across some projects which claim to be full or partial alternative to Kafka with better scalability and less operational overhead. Jocko - https://github.com/travisjeffery/jocko SMF - https://senior7515.github.io/smf/ MapR-ES - https://mapr.com/blog/kafka-vs-mapr-streams-why-mapr/ Has anyone tried it in their project ?
Comment linking /blog/kafka-vs-mapr-streams-why-mapr/
on “Apache Kafka Goes 1.0”Submitted An Update from MapR as a story · 21 points
HN discussionTrade Hadoop for Spark ( http://spark.incubator.apache.org/ ). HBase for MapR M7 Tables: * M7 Overview: http://www.mapr.com/products/mapr-editions/m7-edition * Datasheet: http://www.mapr.com/Download-document/21-MapR-M7-Datasheet * Benchmark: http://www.mapr.com/Download-document/52-MapR-M7-Performance... * Docs: http://doc.mapr.com/display/MapR/M7+-+Native+Storage+for+Map... * AWS Service: http://aws.amazon.com/ela…
Comment linking /Download-document/52-MapR-M7-Performance-Benchmark
on “Clojure: The JFDI language”Submitted What is the Internet of Things and Why Does it Matter to Big Data? as a story · 5 points
HN discussionThis is exactly what Hive is. https://mapr.com/products/apache-hive/ It provides a full SQL query engine on top of unstructured data so you can assemble results. Personally I would never expose the raw DB in any capacity to the front end systems for security and sanity reasons. DB schemas need to be free to change all the time and you wouldn't want to break entire services from a column type change.
Comment linking /products/apache-hive/
on “Why Graphiti?”Submitted Big Data Opportunities for Telecommunications as a story · 4 points
HN discussionIIRC, earlier in the project, a differentiator for Drill was to be the ability to run drillbit processes across servers, and run distributed queries from one of them with Zookeeper as a coordinator. This would have been a simple approach to distributed queries where secondary extract and loading into a distributed filesystem or Parquet file was not desired [1] Unfortunately to date, distributed queries will fail if…
Comment linking /blog/drill-your-big-data-today-apache-drill/
on “Apache Drill's Future”Submitted Mapr: How to Speed Up Ad-Hoc Analytics with SparkSQL, Parquet, and Alluxio as a story · 3 points
HN discussionI've been using Hadoop in production for about 3 years on a small 48 node cluster. I've seen many issues, but none of the ones mentioned in the blog post. My general theory is that if its an important tool for your business, you need at least 1 person to be an expert on it. The alternative is to pay Cloudera a significant amount per node for support. Another possible alternative is to use http://www.MapR.com/ , they…
Comment linking /
on “The Dark Side of Hadoop”Submitted Apache Spark Machine Learning Tutorial as a story · 3 points
HN discussion- nl · 2017-02-02
Rule mining[1] is a thing. It's very useful. But it has a weakness - it doesn't always understand causality. As you note, much of the time this doesn't matter. A good counterexample is the story of scurvy prevention[2]. Back in 1747, the British Royal Navy proved that scurvy could be prevented by eating citrus. The Navy started serving all sailors lime juice, and sure enough scurvy stopped occurring. Fast forward to…
Comment linking /blog/association-rule-mining-not-your-typical-data-science-algorithm
on “Causality in machine learning” Submitted Julia – A Fresh Approach to Numerical Computing and Data Science as a story · 3 points
HN discussionAs many others pointed out, these product vendors are getting killed by the cloud (I am not saying whether it is good or bad). On-demand compute and storage scalability of cloud makes perfect sense for Big data infrastructure. These companies are failing because they can't establish a use case of running their product on cloud. It is ironic because when AWS started EMR, MapR was one of the distributions they offered…
Comment linking /partners/partner/amazon-elastic-mapreduce-and-mapr/
on “MapR may shut down as investor pulls out after ‘extremely poor results’”Submitted Google Compute Engine, MapR run TeraSort in fastest and cheapest deployment ever as a story · 3 points
HN discussionThe differences are mainly around batch-centric vs. streaming-centric model and executions. Here is for example a video walkthrough by MapR: https://www.mapr.com/blog/apache-spark-vs-apache-flink-white...
Comment linking /blog/apache-spark-vs-apache-flink-whiteboard-walkthrough
on “Announcing Apache Flink 1.0.0”Submitted Data Science, Climate Change, Open Source, and You as a story · 2 points
HN discussionMapR M7 Tables removes much of the complexity and layers of HBase ( http://www.mapr.com/products/m7 ).
Comment linking /products/m7
on “Cassandra Hits One Million Writes Per Second on Google Compute Engine”Submitted Getting Started with Druid and MapR Streams as a story · 2 points
HN discussionIt's cool to see graph DBs like Titan and Neo4j moving up the ranks. There are some major advancements coming down the pipe in the world of open-source graph computing that will make working with big graph data accessible to anyone, not just the Googles, Facebooks, and Twitters of the world. Here are some of the things coming down the pipe: Titan 0.4 was just released https://github.com/thinkaurelius/titan ), and th…
Comment linking /products/google-cloud-platform
on “DB-Engines Ranking ranks database management systems according to popularity”Submitted How to Guide: Getting Started with Apache Drill as a story · 2 points
HN discussionJim Scott from MapR compares Apache Mesos vs. Hadoop YARN https://www.mapr.com/blog/apache-mesos-vs-hadoop-yarn-whiteb...
Comment linking /blog/apache-mesos-vs-hadoop-yarn-whiteboard-walkthrough
on “YARN on Mesos Will Bridge the World of Mesos and Big Data”Submitted Happy 6-Month Birthday to the Converge Community as a story · 2 points
HN discussionThere's also Presto from fb, and Apache Drill. Phoenix seems to be on top of Hbase, which is more funkier that plain HDFS + SQL engine. Besides, right now there's a huge need for analytical engines on top of HDFS (data lake or whatever you call it) - that's why there are all of these: (shamelessly stolen from an email from drill users): - Apache Hive < https://hive.apache.org> (SQL-like, with interactive SQL thanks…
Comment linking /products/hadoop-download>
on “Impala: a modern, open-source SQL engine for Hadoop”Submitted Mapr: A Functional Approach to Logging in Apache Spark as a story · 2 points
HN discussionMapR is the best example I know of where a closed-source solution is beating open-source. For example, MapR's Hadoop distribution outperforms its open-source counterparts: * MapR breaks the Hadoop TeraSort world record using Google Compute Engine ( https://plus.google.com/+GoogleDevelopers/posts/NURRXZ985XV ) * Video: https://www.youtube.com/watch?v=9iQzMoy41_k Also MapR-FS and its new M7 Tables are HDFS and HBase r…
Comment linking /Download-document/52-MapR-M7-Performance..
on “Ask HN: Do companies have better code than the open source community?”Submitted Mapr: How to Invest in a Big Data Platform as a story · 2 points
HN discussionSubmitted Mapr: Real-Time Message-Driven Service Oriented Architecture: Bringing the Boom as a story · 2 points
HN discussionSubmitted Mapr: Lessons Learned from Apache Drill Production Deployments as a story · 2 points
HN discussionSubmitted Distributed Deep Learning with Caffe Using a MapR Cluster as a story · 2 points
HN discussionSubmitted Stream Processing Everywhere – What to Use? as a story · 2 points
HN discussion
