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For Existing Clients: ETL Related

Vena ETL Performance Enhancement/Speedup

Reduce refresh times, eliminate ETL bottlenecks, and optimize data flow for faster reporting and decision-making.

Slow ETL processing is a productivity killer for finance teams relying on timely data updates. 

Traditionally, OLAP cubes have lengthy refresh cycles; DSCIM’s ETL enhancements expedite the process, delivering faster data availability and enabling multiple updates per day.

Key challenges in Vena ETL Performance

Vena cube updates can take hours, leaving teams waiting for overnight jobs to complete.

Large datasets and inefficient data processing slow down refresh speeds.

If a refresh fails overnight, teams lose an entire day waiting for reprocessing.

Our solution: high-performance ETL for faster data updates

Incremental refresh approach

  • Updates only recent data instead of reloading the entire dataset.
  • Processes data in smaller chunks, reducing ETL execution time.

  • In contrast to refreshing the entire Vena Data Mart, a comprehensive data warehouse, DSCIM updates only the most recent two months of transactions, optimizing the refresh process for Vena files.

 

 

Data volume analysis & bottleneck resolution

  • Analyzes large data tables to detect slow-performing queries.
  • Optimizes table structures to minimize redundant data processing.

  • Applies parallel processing techniques to enhance ETL data processing speed for Vena extractions.

 

 

 

 

Custom ETL process for maximum speed & efficiency

  • Leverages advanced ETL techniques such as data partitioning and indexing.
  • Optimizes file transfer speeds, reducing lag in data loading.

 

 

 

 

 

Automated performance monitoring & notifications

  • Continuously monitors ETL performance to detect and resolve issues before they impact reporting.
  • Instant notifications to users when refreshes are completed or if failures occur.
     

 

 

 

 

How DSCIM’s approach makes a difference

  • Shortens Vena update times to a matter of minutes through an incremental refresh approach.

  • Eliminates productivity delays: no more waiting overnight for refreshes to complete.
  • Multiple refreshes per day: allows on-demand updates, giving finance teams real-time access to fresh data.
  • Optimized for large-scale data processing: handles high transaction volumes efficiently, improving system stability.

Spend less time fixing sheets, more time on the real work

Eliminate ETL bottlenecks ensuring data updates happen in real-time.

Enable fast, multiple refreshes per day, eliminating long waits for reporting.

Gain deeper insights with optimized data processing leading to better decision-making.