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This Blog covers topics on Big Data Tools, Internet of Things (IoT), Industrial Internet of Things (IIoT), Artificial intelligence (AI), Machine learning, Deep Learning, Business Intelligence (BI) for Data Analysts, Data Scientists, Big Data Developers and Big Data Administrators.

Architecture & Administration

Big Data Architect and Administrator need the skills to install, configure, and manage the Big Data platform and its associated ecosystem to build a Solution that satisfies the business requirements. First need to understand difference Read More…

Big Data Developer

Big Data Developer need to possess a proven comprehension of big data applications. A good knowledge of SQL, NoSQL, Java, Python, JS, and other similar scripting languages with more related tools that are used in Data Read More…

Big Data Analyst or Scientist

big data analytics can point the way to various business benefits, including new revenue opportunities, more effective marketing, better customer service, improved operational efficiency and competitive advantages over rivals Read more…

Want to see more Tools about the Big Data Landscape 2018 - 2019 !

ANALYTICAL TOOLS

R Programming, Tableau, Python, SAS, Apache Spark, Excel, RapidMiner, KNIME, QlikView, Splunk, Julia, Weka, AzureML

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ARTIFICIAL INTELLIGENCE

Neural Network and Deep learning, Reinforcement learning, machine learning, Deep learning, Keras,
Microsoft Cognitive Toolkit, tensorflow, Theano

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BIG DATA DATABASES

NoSQL databases, Cassandra, HBase, MongoDB, MySQL,
Neo4j, CouchDB, OrientDB, Terrastore, FlockDB,
Hive, InfoBright, Infinispan, Redis, MemcacheDB, HBase

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