Mjesečna Arhiva: Veljača 2015.

Forrester Predictions 2015: Hadoop

http://resources.idgenterprise.com/original/AST-0138457_Predictions_2015_Hadoop_W_copy.pdf HADOOP ADOPTION IS NOT AN OPTION Forrester believes that Hadoop is a must-have for large enterprises, forming the cornerstone of any fexible future data platform needed in the age of the customer. Hadoop is becoming more than just a … Nastavi čitati

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The Industrial Internet = Big Data analytics + Internet of Things

http://www.accenture.com/us-en/Pages/insight-industrial-internet-competitive-landscape-industries.aspxThe Industrial Internet enables companies to use sensors, software, machine-to-machine learning and other technologies to gather and analyze data from physical objects or other large data streams—and then use those analyses to manage operations and in some cases to offer … Nastavi čitati

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“New Directions for Spark in 2015” – Matei Zaharia (Strata + Hadoop 2015)

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Zero Data Loss in Spark Streaming

https://databricks.com/blog/2015/01/15/improved-driver-fault-tolerance-and-zero-data-loss-in-spark-streaming.html Write Ahead Logs (also known as a journal) are used in database and file systems to ensure the durability of any data operations. The intention of the operation is first written down into a durable log , and then … Nastavi čitati

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SQL-on-Hadoop Sector Roadmap

http://research.gigaom.com/report/sector-roadmap-hadoopdata-warehouse-interoperability/

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Streaming k-means in Spark 1.2

http://databricks.com/blog/2015/01/28/introducing-streaming-k-means-in-spark-1-2.html Many real world data are acquired sequentially over time, whether messages from social media users, time series from wearable sensors, or — in a case we are particularly excited about — the firing of large populations of neurons. In … Nastavi čitati

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