Cloudera, Dell and NVIDIA bring AI On-Prem
Leon Taiman, Global Practice Lead at Dell Technologies, discusses the strategic partnership between Dell, Cloudera, and NVIDIA to accelerate the adoption of Private AI on-premises for customers.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Open Lakehouse Meetup (ft. Apache Iceberg): Building Scalable Data Platforms
Discover the future of the Data Lakehouse with this deep dive into Apache Iceberg V3 and V4 from the Bengaluru community meetup. Learn how PyIceberg and DuckDB are revolutionizing Python-native data processing by eliminating the need for Spark clusters for 99% of common query sizes. Explore high-performance ingestion benchmarks from Oleg and the Google Dataproc Lightning Engine, achieving over 500k rows/sec through Apache Arrow and C++ vectorization. This session is a masterclass for data engineers on metadata compaction, Rest Catalogs, and building vendor-agnostic data platforms.
Security considerations when choosing an embedded analytics provider
October 2025, Paris. Thieves dressed as construction workers break into the Louvre and steal eight pieces of the French Crown Jewels valued at approximately €88 million. The robbery took place in broad daylight, and lasted less than eight minutes. As of the time of writing, only one of the jewels was recovered, a crown belonging to Napoleon III's wife Eugénie, which the thieves dropped in the street as they fled.
The Embedded BI Advantage: Why On-Premises Analytics Beats Third-Party BI for Data Security
Corporate concerns about entrusting sensitive data to third-party platforms keep many CTOs awake at night. Every time data leaves your infrastructure for a bolted-on BI tool, you're gambling with control. The stakes? Regulatory compliance, competitive advantage, and customer trust. Deploying a business analytics solution while keeping data safe and compliant often involves choosing between BI solutions that are either “bolted-on” or “embedded”.
BigQuery Migration Service: SQL and data transfer
Following your migration assessment, it is time to execute the transfer of your data and SQL queries into Google Cloud. This video dives into the specific tools and services that simplify migrating workloads from Snowflake, Teradata, Cloudera, and Databricks into BigQuery, Dataproc, and Google Cloud Storage.
Do Identity Intelligence Better with Snowflake and Verato
Healthcare organizations can’t achieve true Patient 360 or power accurate AI and analytics when identity data is fragmented across EHRs, EMRs, CRMs, and countless clinical and operational systems. Check out the full video to see how Verato MDM Cloud delivers industry-leading healthcare identity resolution and master data management (MDM) directly inside Snowflake to unify, enrich, and master patient and provider data with unmatched accuracy.
How to Join Parquet & JSON Files in ThoughtSpot Analyst Studio
Stop manually juggling mismatched data formats! This video demonstrates how to join Parquet and JSON files directly within ThoughtSpot Analyst Studio’s Python Notebook to create a single, enriched dataset. What you will see: This is a must-watch for data professionals looking to unify complex, multi-format data sources and deliver searchable, AI-ready insights in one continuous workflow.
How to become a pro data analyst if you've never done data analysis before
People feel more confident when their decisions are backed by numbers. That’s just human nature. Add a chart or a metric to a conversation, and suddenly an opinion feels more credible. This is one reason companies invest heavily in analytics tools. They’re not just buying dashboards, they’re buying confidence. Confidence that decisions are grounded in reality, not gut feel. But here’s the problem: having data doesn’t automatically make decisions easier.
Ep 54 | Why Data Needs a Digital Birth Certificate with Anu Jain
In this episode of The AI Forecast, Anu Jain, founder and CEO of Nexus Cognitive, joins host Paul Muller to introduce a transformative idea: AI doesn’t have a last mile problem. It has a first mile problem. While AI models and algorithms can scale instantly through the cloud, their success still depends on the quality, provenance, and readiness of the data that feeds them.
Snowflake Predictions 2026
Your AI-accelerated future will include operationalizing AI, rewriting your leadership skill set, and harnessing the next killer app. Set yourself up for success by registering for this year's AI & Data Predictions event featuring forward-looking conversations with Snowflake's talented leaders. See how agentic AI will create a new enterprise and a new worker. Join the AI + Data Predictions 2026 Virtual Event on January 13, 2026 and hear from Snowflake executives and experts discuss the continuing impact of generative AI on organizations.