A JVM-based programming language designed for structured data computation, serving as both a data analysis tool and an embedded computing engine.
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Python offers multiple ways to filter and sort data, including list comprehensions and Pandas methods. Let’s compare these with SPL’s approach.
https://t.co/PQhdSUE0SV
Moving from Python to esProc SPL? In the last article, I covered setup and loading your first datasets. Now we’re diving into what makes SPL great for data analysis: core syntax, the table data structure, and common data operations. https://t.co/6KGBEWenHk
SPL Power: Solve trillion-scale spatiotemporal collision calculations in just 3 mins!
Tackled a tough data problem
SQL/Java/Python took >2h on 40C128G—SPL finished in 161s on a single 8C64G server!😍😀
https://t.co/WBFY6iXhu2
SPL Power: Solve trillion-scale spatiotemporal collision calculations in just 3 mins!
Tackled a tough data problem
SQL/Java/Python took >2h on 40C128G—SPL finished in 161s on a single 8C64G server!😀🫶
https://t.co/WBFY6iXhu2
SPL Power: Solve trillion-scale spatiotemporal collision calculations in just 3 mins!
Tackled a tough data problem
SQL/Java/Python took >2h on 40C128G—SPL finished in 161s on a single 8C64G server!😍🫶
https://t.co/WBFY6iXhu2
SPL Power: Solve trillion-scale spatiotemporal collision calculations in just 3 mins!
Tackled a tough data problem
SQL/Java/Python took >2h on 40C128G—SPL finished in 161s on a single 8C64G server!😍😀🫶
https://t.co/WBFY6iXhu2
@Cilantro_ai@akshay_pachaar Yes, new technologies always encounter various kinds of doubts, so innovation is difficult. However, there are always people doing it. The world needs innovation.
Tired of bloated DBs clogged with thousands of intermediate tables? 🗑️ Open-source SPL lets you store data in files & compute outside the database—faster, cheaper, and way more flexible. Say goodbye to costly storage & performance drag!😀🙃
https://t.co/kgvsbdNa1Q
Tired of bloated DBs clogged with thousands of intermediate tables? 🗑️ Open-source SPL lets you store data in files & compute outside the database—faster, cheaper, and way more flexible. Say goodbye to costly storage & performance drag!🫶
https://t.co/kgvsbdNa1Q
Tired of bloated DBs clogged with thousands of intermediate tables? 🗑️ Open-source SPL lets you store data in files & compute outside the database—faster, cheaper, and way more flexible. Say goodbye to costly storage & performance drag!😀
https://t.co/kgvsbdNa1Q
Tired of bloated DBs clogged with thousands of intermediate tables? 🗑️ Open-source SPL lets you store data in files & compute outside the database—faster, cheaper, and way more flexible. Say goodbye to costly storage & performance drag!😀🫶
https://t.co/kgvsbdNa1Q
Tired of data lakes choosing between high-fidelity raw data, robust computing power, or cost-efficiency? The "Impossible Triangle" just met its match—SPL! 🚀😀🥰
https://t.co/rLczIcszaG
#DataLake#OpenSource#DataEngineering#SPL#TechInnovation#spl
Tired of data lakes choosing between high-fidelity raw data, robust computing power, or cost-efficiency? The "Impossible Triangle" just met its match—SPL! 😀
https://t.co/rLczIcszaG
#DataLake#OpenSource#DataEngineering#SPL#TechInnovation#spl
Tired of data lakes choosing between high-fidelity raw data, robust computing power, or cost-efficiency? The "Impossible Triangle" just met its match—SPL! 🚀https://t.co/rLczIcszaG
#DataLake#OpenSource#DataEngineering#SPL#TechInnovation#spl
Tired of data lakes choosing between high-fidelity raw data, robust computing power, or cost-efficiency? The "Impossible Triangle" just met its match—SPL! 🚀😀
https://t.co/rLczIcszaG
#DataLake#OpenSource#DataEngineering#SPL#TechInnovation#spl
Most “Lakehouses” are just glued-together lakes & warehouses with slow, rigid SQL engines. Real unification needs open, schema-free compute that works directly on raw data — like @esProc SPL.🧐
https://t.co/p3WIIGGO4k
Most “Lakehouses” are just glued-together lakes & warehouses with slow, rigid SQL engines. Real unification needs open, schema-free compute that works directly on raw data — like @esProc SPL.😇
https://t.co/p3WIIGGO4k
Most “Lakehouses” are just glued-together lakes & warehouses with slow, rigid SQL engines. Real unification needs open, schema-free compute that works directly on raw data — like @esProc SPL.😋
https://t.co/p3WIIGGO4k
Most “Lakehouses” are just glued-together lakes & warehouses with slow, rigid SQL engines. Real unification needs open, schema-free compute that works directly on raw data — like @esProc SPL.😀
https://t.co/p3WIIGGO4k
According to the test result,The performance of SPL’s wide table is higher than joins performed in the two SQL databases (3-9 times faster), and even surpasses the wide table .It not only avoids wide table defects but increases performance by N times.🤓
https://t.co/f7I5Z9n7X6