Batch Processing 

What is batch processing? 

Batch processing refers to the execution of a series of programs or jobs on a computer without manual intervention. A batch process is a sequence of jobs that runs without user interaction.  

Key characteristics of batch processing 

Some key characteristics of batch processing include: 

• Non-interactive: Batch jobs run without human interaction. There is no continuous user input when batch processing is running. 
• Pre-scheduled: Batch jobs are scheduled to run at a specific time, typically during off-peak hours like overnight or weekends. This allows the jobs to utilize maximum computer resources. 
• Bulk operations: Batch processing is ideal for high volume, repetitive tasks like payroll, billing, report generation etc. Large amounts of similar data can be processed efficiently. 
• Energy-saving resource use: By running batch jobs when the system has excess capacity during low activity periods, computer resources like CPU, memory and I/O can be used optimally. 

Advantages of batch processing 

The main advantages of batch processing include: 

• Efficient use of computer resources: Processing similar jobs together allows the computer to optimize execution. Resources are used most productively. 
• Scheduling flexibility: Jobs can be scheduled to run whenever it is most convenient, cost-effective, and efficient. Off-peak times allow maximum usage. 
• Reduced cost: Batch processing minimizes computing costs by maximizing computing power during off-peak hours when electricity costs are lower. 
• Simplicity: Batch processing simplifies large repetitive tasks. Jobs are automated without manual intervention.  

Examples of batch processing 

Some common examples of batch processing include: 

• Payroll: Employee payroll with large volumes of similar data is often run in overnight batches. 
• Billing: Monthly bills with common data and calculations are generated in batches.
• Report generation: Standardized reports for accounting, management etc. are produced in scheduled batches. 
• File processing: Large data files like medical claims can be processed in batches.
• Data migration: Migrating data from one system to another like ERP upgrades is done in batches. 

Batch processing vs real-time processing 

• The main difference between batch and real-time processing is interactivity. Batch processing runs jobs non-interactively according to a schedule, while real-time processing handles data as it arrives without delay. Real-time is better for work requiring immediate response, while batch is ideal for large repetitive tasks.  

How LexisNexis supports big data analytics 

LexisNexis provides robust solutions to facilitate big data analytics. With Nexis^® Data+ Solutions, users gain access to an extensive repository of over 36,000 licensed sources and 45,000 total resources in more than 37 languages. This wealth of data ensures that organizations can analyze, interpret, and derive meaningful insights from large datasets to inform their strategies and decision-making processes. 

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