Brisk - Unified Big-Data Platform for Low-Latency Applications and Hadoop/Hive AnalyticsBoris Lublinsky
Describes real-life solutions using big data analytics Focuses on LexisNexis’ platform and its solutions to big data Covers wide-ranging applications such as security, fraud, and machine learning Includes supplementary material:sn.pub/extras
Considerations for using Hive on Amazon EMR 4.x Considerations for using Pig on Amazon EMR 4.x emr-4.9.6 emr-4.9.5 emr-4.9.4 emr-4.9.3 emr-4.9.2 emr-4.9.1 emr-4.8.5 emr-4.8.4 emr-4.8.3 emr-4.8.2 emr-4.8.1 emr-4.8.0 emr-4.7.4 emr-4.7.3 emr-4.7.2 emr-4.7.1 emr-4....
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 phases of the value chain of big data, i.e., data generation, data acquisition, data storage, and data ...
Then, they return to the hive and share their information about their findings through a process called waggle dance. Next, the other group, called employed bees, starts finding the flowers based on the information obtained from the scouts in order to exploit the nectar of th...
Finally, in Section 7.7, we discuss the cost and time of profiling applications, showing the advantages of using OSCAR-P and aMLLibrary. The source code, input files, log data, and experimental results are available on Zenodo (Sala and Galimberti, 2024). 7.1. Target applications 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 ...
All the resources are now deployed on AWS and ready for use. Use the application You can start using the application from the Amplify hosted domain. Run the following command to retrieve the application URL: amplify status At first access, the application shows the Amazon Cognito ...
Additionally, distributed parallel computing systems MAPR, e.g., [16], Hadoop and SunwayMR [17–19], emerge for processing data stream. Meanwhile, several systems, e.g., Flume [20], HBase [21], Hive [22], have been built on the top of Hadoop. Show abstract SwMR: A framework for...
The following program excerpt shows how to supply a configuration using the AWS SDK for Java. Application hive =newApplication().withName("Hive"); Map<String,String> hiveProperties =newHashMap<String,String>(); hiveProperties.put("hive.join.emit.interval","1000"); hiveProperties.put("hive....