Hadoop PREDICTIVE ANALYTICS REPORT

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ANALYSIS

What You Need to Know

  • Breakouts in the Hadoop predictive analytics are Lambda architecture, Apache Samza, Apache Calcite. Seriously consider these technologies to gain a strategic advantage.
  • The technologies who are at the peak of their interest are Sqoop, BigQuery, MapR.
  • By far most employment needs are found in the Big data, Resource management, Web application technologies.
  • These 3 fields have the most active practitioners who have the specific skill set or experience: Resource management, Software developer, Big data.
  • Big data, Microsoft Office 365, Machine learning lead in searches for information online.
  • These three technologies are receiving the highest investments to gain clients: Big data, Apache Mahout, Sqoop.
  • These three technologies have the most active advertisers: Software developer, Big data, Machine learning.
  • In patents, these three technologies have the most coverage Resource management, Web application, Machine learning.
  • The most publications are available for Resource management, Machine learning, Web application.
  • Instruction and courseware availability is highest in these technologies: Big data, Machine learning, Resource management.

In this stunning new report, Gerard Blokdijk takes us on an intellectual journey through the world of Hadoop–the best and the brightest, the most famous and the most successful. He asks the question: what makes high-Hadoop achievers different?

His answer is that we pay too much attention to what successful people are doing, and too little attention to where they are going: that is, which insights they have, which information, and the experiences they are studying. Along the way he unfolds the secrets of Hadoop success, and what it takes to be a great Hadoop player.

Brilliant and entertaining, The Hadoop Predictive Analytics Report is a landmark work that will simultaneously delight and illuminate.

Download Hadoop Report and Get Started

Download Hadoop Report and Get Started


The Hadoop report evaluates technologies and applications in terms of their business impact, adoption rate and maturity level to help users decide where and when to invest.

Hadoop is a free, Java-based programming framework that supports the processing of large data sets in a distributed computing environment. It is part of the Apache project sponsored by the Apache Software Foundation.

The Predictive Analytics Scores below – ordered on Forecasted Future Needs and Demand from High to Low – shows you Hadoop’s Predictive Analysis. The link takes you to a corresponding product in The Art of Service’s store to get started.

The Art of Service’s predictive model results enable businesses to discover and apply the most profitable technologies and applications, attracting the most profitable customers, and therefore helping maximize value from their investments. The Predictive Analytics algorithm evaluates and scores technologies and applications.

The platform monitors over ten thousand technologies and applications for months, looking for interest swings in a topic, concept, technology or application, not just a count of mentions. It then makes forecasts about the velocity of the interest over time, with peaks representing it breaking into the mainstream. Data sources include trend data, employment data, employee skills data, and signals like advertising spent, advertisers, search-counts, Instruction and courseware available activity, patents, and books published.

Predictive Analytics Scores:

000930 – Lambda architecture
000899 – Apache Samza
000683 – Apache Calcite
000681 – BigQuery
000679 – HDFS
000617 – HBase
000605 – MapR
000540 – Google Cloud Dataproc
000470 – Hortonworks
000470 – HDInsight
000464 – Google Cloud Platform
000453 – Petabyte
000442 – Sqoop
000412 – Oozie
000405 – Cloudera
000389 – Apache Flink
000367 – Microsoft Azure
000366 – Apache Avro
000340 – Big data
000338 – MapReduce
000242 – Microsoft Office 365
000232 – Machine learning
000220 – Apache Camel
000216 – Apache Storm
000197 – Apache Cassandra
000196 – Apache Kafka
000191 – Apache Flume
000186 – OpenNLP
000181 – Apache Hadoop
000158 – Java (programming language)
000157 – Apache Hive
000156 – Apache Spark
000151 – Apache HBase
000150 – Apache CXF
000148 – Apache Drill
000146 – Apache Karaf
000141 – Google Storage
000138 – Apache Beam
000132 – Apache Mahout
000111 – Apache Solr
000103 – CouchDB
000101 – Apache Commons
000092 – Apache Maven
000088 – Apache Sqoop
000088 – Apache Phoenix
000080 – Web application
000066 – Apache ActiveMQ
000064 – Cloudera Impala
000059 – Software developer
000051 – CTAKES
000050 – Apache Thrift
000047 – Wunderlist
000044 – Computer application
000044 – Apache Shiro
000043 – Apache Kylin
000042 – Apache ZooKeeper
000040 – Apache Cordova
000039 – Apache POI
000037 – Apache Nutch
000036 – Kounta
000035 – Resource management
000033 – Apache Ambari
000031 – Apache JMeter
000027 – Apache Tika
000006 – Marketwired
000000 – X Consortium
000000 – Revel Systems POS
000000 – Orderhive
000000 – Commons Daemon
000000 – Apache Singa
000000 – Apache PDFBox
000000 – Apache OpenOffice
000000 – Apache OFBiz
000000 – Apache Marmotta
000000 – Apache License

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