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Recap of Hadoop News for June 2018

ProjectPro

News on Hadoop - June 2018 RightShip uses big data to find reliable vessels.HoustonChronicle.com,June 15, 2018. The rating system gives one star rating to ships that are likely to experience an incident in the next year and a five star rating to ships which are least likely to do so. Zdnet.com, June 18, 2018.

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Recap of Hadoop News for February 2018

ProjectPro

News on Hadoop - February 2018 Kyvos Insights to Host Webinar on Accelerating Business Intelligence with Native Hadoop BI Platforms. PRNewswire.com, February 1, 2018. ” on February 7, 2018 at 10 AM PST. Source : [link] ) Three ways to prepare your mainframe files in Hadoop.Lemagit.fr, February 6, 2018.

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Cyber Safe Behaviour In Banking Systems

U-Next

As my thoughts started wandering around our Banking systems and Cosmos Bank Cyber-attack 2018. Also, the recovery also gets affected as there is a lag of almost 24 months between fraud and detection. A robust fraud detection and monitoring system is required.

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Recap of Hadoop News for January 2018

ProjectPro

News on Hadoop - Janaury 2018 Apache Hadoop 3.0 goes GA, adds hooks for cloud and GPUs.TechTarget.com, January 3, 2018. Zdnet.com, January 3, 2018 Apache Hadoop was built around the concept of cheap commodity infrastructure a decade ago but the latest release of Hadoop i.e. Hadoop 3.x Globalnewswire.com, January 5, 2018.

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Recap of Hadoop News for September 2018

ProjectPro

Source - [link] ) Master Hadoop Skills by working on interesting Hadoop Projects LinkedIn open-sources a tool to run TensorFlow on Hadoop.Infoworld.com, September 13, 2018. September 24, 2018. SQL server will provide support for big data clusters through Google-incubated Kubernetes container orchestration system. Techcrunch.com.

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Mastering data integration from SAP Systems with prompt engineering

Towards Data Science

The associated data in our scenario is stored in a SAP HCM system which is one of the leading applications for human resource management in enterprise environments. To solve this kind of objective, every data engineer needs to build up a lot of business related knowledge which is strongly interdependent to the underlying data model.

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Timestone: Netflix’s High-Throughput, Low-Latency Priority Queueing System with Built-in Support…

Netflix Tech

Timestone: Netflix’s High-Throughput, Low-Latency Priority Queueing System with Built-in Support for Non-Parallelizable Workloads by Kostas Christidis Introduction Timestone is a high-throughput, low-latency priority queueing system we built in-house to support the needs of Cosmos , our media encoding platform. Over the past 2.5

Systems 87