This is a Title Slide with Picture slide ideal for including a picture with a brief title, subtitle and presenter information.
To customize this slide with your own picture:
Right-click the slide area and choose Format Background from the pop-up menu. From the Fill menu, click Picture and texture fill. Under Insert from: click File. Locate your new picture and click Insert.
This is a Safe Harbor Front slide, one of two Safe Harbor Statement slides included in this template.
One of the Safe Harbor slides must be used if your presentation covers material affected by Oracle’s Revenue Recognition Policy
To learn more about this policy, e-mail: Revrecemail@example.com
For internal communication, Safe Harbor Statements are not required. However, there is an applicable disclaimer (Exhibit E) that should be used, found in the Oracle Revenue Recognition Policy for Future Product Communications. Copy and paste this link into a web browser, to find out more information.
For all external communications such as press release, roadmaps, PowerPoint presentations, Safe Harbor Statements are required. You can refer to the link mentioned above to find out additional information/disclaimers required depending on your audience.
Hadoop relies on the input format of the job to do three things:1. Validate the input configuration for the job (i.e., checking that the data is there).2. Split the input blocks and files into logical chunks of type InputSplit, each of which is assigned to a map task for processing.3. Create the RecordReader implementation to be used to create key/value pairs from the raw InputSplit. These pairs are sent one by one to their mapper.
A RecordReader uses the data within the boundaries created by the input split to generate key/value pairs. In the context of file-based input, the “start” is the byte position in the file where the RecordReader should start generating key/value pairs. The “end” is where it should stop reading records. These are not hard boundaries as far as the API is concerned—there is nothing stopping a developer from reading the entire file for each map task. While reading the entire file is not advised, reading outside of the boundaries it often necessary to ensure that a complete record is generated
Big Data Management System: Smart SQL Processing Across Hadoop and your Data Warehouse