4. SPSS can directly use BigR syntax such as bigr.list
Correct Answer : Get Lastest Questions and Answer : Explanation: Combining SPSS software and R truly gives you the best of both worlds. Still not convinced? Here are seven really good reasons why you should use SPSS and R together:
Simple interface. The SPSS graphical user interface supports a variety of data preparation, statistical analysis and predictive modeling algorithms.
puzzle pieces.jpgAlmost no learning curve. SPSS software can handle data, statistical analysis and modeling so you dont have to.
Easier data preparation. SPSS software can read text input, spreadsheets, SAS files and more. Wizards with prebuilt connectors access data so extracting, manipulating and transforming it takes less time.
More output options. One click accesses to SPSS presentation-ready charts and graphs. You can publish results to PDF, Word, PowerPoint, Excel and other formats and view those outputs on most device platforms.
Superior performance. IBM SPSS analytics scales R in database for environments such as SAP Hana, Netezza and Oracle. SPSS can also scale R in-Hadoop with IBM SPSS Analytic Server.
Collaboration. When you use SPSS software and R together, you lose the lone wolf aspect of R. With custom dialogs, you can create new functions that anyone can use.
Security. SPSS software provides a framework for centralizing, securing and automating your analytical assets so you can rest assured that your environment is not at risk.
Question : You have downloaded last months data from social network. To analyze this data for a month , it will take around days. Now, you want to use better solution to this problem. So that data can be analyzed in just hours. Which solution is best fit for your requiremnt 1. IBM Infosphere
Correct Answer : Get Lastest Questions and Answer : Explanation: BigInsights is a software platform for discovering, analyzing, and visualizing data from disparate sources. You use this software to help process and analyze the volume, variety, and velocity of data that continually enters your organization every day. BigInsights helps your organization to understand and analyze massive volumes of unstructured information as easily as smaller volumes of information. The flexible platform is built on an Apache Hadoop open source framework that runs in parallel on commonly available, low-cost hardware. You can easily scale the platform to analyze hundreds of terabytes, petabytes, or more of raw data that is derived from various sources. As information grows, you add more hardware to support the influx of data. BigInsights helps application developers, data scientists, and administrators in your organization quickly build and deploy custom analytics to capture insight from data. This data is often integrated into existing databases, data warehouses, and business intelligence infrastructure. By using BigInsights, users can extract new insights from this data to enhance knowledge of your business. For more information about the IBM Open Source Platform, see Installing IBM Open Source Platorm for Apache Hadoop. BigInsights incorporates tooling and value-add services for numerous users, speeding time to value and simplifying development and maintenance: Software developers can use the value-add services that are provided to develop custom text analytic functions to analyze loosely structured or largely unstructured text data. Data scientists and business analysts can use the data analysis tools within the value-add services to explore and work with unstructured data in a familiar spreadsheet-like environment.