The currently supported data sources are a Web URL using HTTP, Hadoop using HiveQL, Azure Blob or Table storage, Azure SQL Database or SQL Server on Azure Virtual Machine, on-premises SQL Server database, and any OData feed. From another Azure Machine Learni...
The objective of this book is to introduce the basic concepts of big data computing and then to describe the total solution of big data problems using HPCC, an open-source computing platform. The book comprises 15 chapters broken into three parts. The first part,Big Data Technologies, includes...
In mathematical programming, an easy or tractable problem is a problem that can be solved using a computer algorithm, with a reasonable solution time, as a polynomial function of problem size n. An algorithm is referred to as a P-problem, or a polynomial-time problem, when...
Brisk - Unified Big-Data Platform for Low-Latency Applications and Hadoop/Hive AnalyticsBoris Lublinsky
Big Data: A Survey Abstract In this paper, we review the background and state-of-the-art of big data. We first introduce the general background of big data and review related technologies, such as could computing, Internet of Things, data centers, and Hadoop. We then focus on the four...
SQL Server, MySQL, PostgreSQL etc., Big Data sources like Hive, Spark etc., SaaS sources like Salesforce, Eloqua, Oracle Sales Cloud etc., and NoSQL Data sources like MongoDB. Feel free to try any of our drivers with your Node.js apps for connecting to your datasource of your ...
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Hive Ruche ✓ Hive Streaming Hive Streaming AB ✓ Howspace Howspace ✓ HPCBOX Drizti Inc. ✓ Agent de support virtuel HPE Hewlett-Packard Galway Ltd ✓ HROne Solutions Unecops Workplace ✓ Hubpoint by Sagra Sagra Technology Sp. z o.o. ✓ HubSite 365 NetForce 365 ...
In recent years, there has been a surge in the use of deep learning systems for e-healthcare applications. While these systems can provide significant benefits regarding improved diagnosis and treatment, they also pose substantial privacy risks to patients' sensitive data. Privacy is a crucial issu...
The algorithm divided the plain image into four sub-parts using quaternary coding, which could be coded separately. The key space was big enough to resist exhaustive attacks due to the use of a 1D quadratic chaotic system. Experimental results showed that the algorithm had high security and a ...