Naveen Singh

6 posts

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Naveen Singh

Naveen Singh

@naveensinghfgc

Data Architect

Katılım Ocak 2026
8 Takip Edilen0 Takipçiler
Naveen Singh
Naveen Singh@naveensinghfgc·
@java Once a java developer, Always a learner -> Engineering says every machine has its own limit and it will break on it even human too has its limit but when pursuing java machine , Come into the picture with its next level even when AI is on its peak.
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Java
Java@java·
Watch this course to learn all about using the String class and the methods contained in the String class. 🎓🍎 Analyzing String objects is often essential when doing data analysis. These methods can help! social.ora.cl/6014BDGr0e
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Naveen Singh
Naveen Singh@naveensinghfgc·
Ignore auto correct it’s piece not peace
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Naveen Singh
Naveen Singh@naveensinghfgc·
@BritanniaIndLtd Dear Britannia I just open ur 1 of product which I used 2 use & what I find d packet has 1 of its peace defective not damage due to package cary. It’s seems to be there is any bug in production system as fatal error in its mechanism or someone tampering, debug it
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Naveen Singh
Naveen Singh@naveensinghfgc·
@databricks AI configurations is very perfect I personally feel it with real time cut to cut scenario and cases it’s just perfect data bricks is and will be next engine Fule and life line for current engineers.
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Databricks
Databricks@databricks·
Data engineers said “make it faster.” So we did. - UC governed queries up to 10x faster - Geospatial analytics up to 17x faster - AI Functions up to 85x faster In 2025, average performance across production analytics workloads improved by up to 40%, with no tuning or query rewrites. databricks.com/blog/2025-revi…
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Amul Sanskrit
Amul Sanskrit@amulsanskrit·
यद् आदत्ते दोषाद् गुणम् अखिलम् अद्भ्यः पय इव ॥ Like water drawing purity even from flaws.
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Databricks
Databricks@databricks·
Apache Spark™ 4.0’s transformWithStateInPandas lets stateful streaming pipelines handle schema changes like new fields and type widening while preserving state and avoiding service interruptions. See how teams can evolve real-time analytics and ship updates without resets or reprocessing. databricks.com/blog/events-in…
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