Snow Report: What's Happening At Snowflake In March
This month's edition of the Snowflake Snow Report provides information on Snowflake's Data for Breakfast events and the Accelerate 2025 virtual event series. It also provides details on Snowflake Cortex Agents, now in public preview, pandas on Snowflake, Snowflake ML, and much more.
Cost Aware Data Engineering: Designing Snowflake ETL Pipelines for Maximum Efficiency
Are your Snowflake ETL pipelines silently draining your budget? With 80% of data management experts struggling to accurately forecast cloud costs (Forrester), the efficiency of your ETL processes is more crucial than ever. Join us for this session in our Weekly Walkthrough drop-in series, "Controlling Cloud Costs," where we'll explore how to optimize your Snowflake ETL pipelines for cost and performance.
Data Contracts: The Secret to Streaming Governance
Data contracts aren't just a buzzword—David Araujo, Director of Product Management at Confluent, explains they’ve been hiding in Apache Kafka all along.
Data Engineering Best Practices for Data Integration
Data integration is a critical component of modern data engineering processes. A robust, scalable, and secure data pipeline enables organizations to extract actionable insights from disparate data sources. The following best practices outline a technically sound approach to data integration.
Modern Data Platforms (MDPs) for Business Agility
Modern data platforms are the backbone of today’s data-driven enterprises. Organizations can unlock insights faster, enhance decision-making, and maintain a competitive edge by seamlessly integrating data from diverse sources—ranging from on-premises systems to cloud services and real-time streams.
Salesforce Nonprofit Connector for Empowering Nonprofits
In today’s data-driven world, nonprofits need efficient ways to manage donor information and streamline their fundraising processes. Integrate.io’s latest feature enables organizations to extract, transform, and load data directly into the Salesforce Nonprofit Connector—specifically supporting key objects like Gift records. This advancement brings automation, accuracy, and scalability to nonprofit data operations.
Scale Unstructured Text Analytics with Efficient Batch LLM Inference
Unstructured text is everywhere in business: customer reviews, support tickets, call transcripts, documents. Large language models (LLMs) are transforming how we extract value from this data by running tasks from categorization to summarization and more. While AI has proved that real-time conversations in natural language are possible with LLMs, extracting insights from millions of unstructured data records using these LLMs can be a game changer. This is where batch LLM inference becomes essential.
Bridging the skills gap and driving diversity in data and AI
With technological innovation accelerating at an unprecedented pace, businesses are challenged to rethink their approach and empower employees to stay competitive. Sadie St. Lawrence, Founder & CEO of the Human Machine Collaboration Institute, joins us to explore how organizations can navigate the transformative power of AI.
Kong Konnect Advanced Analytics: Running Faster Than StatsD
Earlier this year the Kong Konnect Analytics team was looking to leverage the stability and flexibility of our own Kong Gateway to handle the entire load of our Analytics ingest firehose. Almost all Konnect API traffic flows through a Kong Gateway and most of it has from the very beginning. For some legacy and differing protocol reasons, our Analytics ingest service was not included in our initial Kong Gateway configuration.