SPL understanding
- esProc SPL, a data analysis engine reducing application cost by N times
- A programming language coding in a grid
- Understand SPL in three aspects
Big Data
- Data warehouse running on file system
- Lightweight big data processing technology
- Data warehouse without using SQL
- Hadoop/Spark is too heavy, esProc SPL is light
- Why Big Data Platforms Return to SQL？
- Is distributed technology the panacea for big data processing?
- The performance problems of data warehouse and solutions
- How the performance improvement by orders of magnitude happened
- Why batch jobs are so difficult?
- Data warehouse with “no house” performs better than the one with “the house”
- How to solve TP database overload problem? Using AP database is not as good as using SPL
- With lightweight SPL available, how necessary is MPP?
- Does stream computing need a framework? SPL may be a better choice
- How to implement an efficient logical data warehouse? Try SPL!
- HTAP database cannot handle HTAP requirements
- The current Lakehouse is like a false proposition
- The Data Lake’s Impossible Triangle
Middleware
- Open-source SPL Makes Microservices More “Micro”
- SPL: The Sharpest Tool for Handling Post-SQL Computations
- Open-source SPL that can execute SQL without RDB
- Which Tool Is Ideal for Diverse Source Mixed Computations
- Computing engine on open-format files
- Handling Excel Files in Java: From POI to SPL
- Computing engine on WEB
- From JSONPath and XPath to SPL
- The Open-source SPL Boosts MongoDB Computing Ability
- What to use for data preparation in report, query or analysis business?
- The Open-source SPL Optimizes Report Application and Handles Endless Report Development Needs
- Create Easy and Efficient T+0 Queries with Open-source SPL
- The significance of open computing ability from the perspective of SPL
- Open-source SPL： The Breaker of Closed Database Computing System
- Data storing using file or database, which is more suitable?
- Why ETL Becomes ELT or Even LET?
- Open-source SPL Eliminates Tens of Thousands of Intermediate Tables from Databases
- Routable computing engine implements front-end database
Cloud Computing
Language Comparison
- SPL: a database language featuring easy writing and fast running
- Why a SQL Statement Often Consists of Hundreds of Lines, Measured by KBs？
- What can we do while facing the huge difficulty of writing too long, multiple-level nested SQL codes?
- The impasse of SQL performance optimizing
- What should we do when SQL (and stored procedure) runs too slowly?
- SQL is consuming the lives of data scientists
- Is SPL more difficult or easier than SQL?
- Can SPL and SQL be integrated?
- Competition of data processing languages on JVM: Kotlin, Scala and SPL
- Java or SQL, which is faster for data operation?
- Using Java/Python in place of stored procedure for batch jobs?
- Two major shortcomings of Python in enterprise applications
- Data Preparation Script: Python Pandas OR esProc SPL?
- Comparison between SPL and Python in processing structured data
