2024 Predictions in AI
Clouderans weigh in on what they think 2024 will mean for AI.
BigQuery integrates with Document AI to help build document analytics and generative AI use cases
With the integration of BigQuery and Document AI, you can extract insights from document data and build new large language model (LLM) applications.
Simplify speech analytics with BigQuery, powered by Vertex AI
Vertex AI transcription models in BigQuery let you transcribe speech files and combine them with structured data to build analytics and AI use cases.
AI and LLMs: How to navigate these technologies to build trusted AI
From customer success and fraud detection to process automation and code completion, Varun Jaitly, Santiago Giraldo, and Robert Hryniewicz discuss the AI and GenAI use cases that separate early enterprise leaders, and the key obstacles businesses across verticals must overcome for successful LLM development and deployment.
Navigating the Fast-Moving Future: Cloud, Data, and Sustainability and AI
Today, businesses are facing some of the toughest digital innovation challenges we’ve ever seen in recent times. The climate crisis, the breakneck speed of technological innovation, and growing cybersecurity threats are just some of the hurdles that must be smartly addressed for organizations to succeed in today’s increasingly data-driven world. This is something we know to be true from recent discussions with our customers.
Accelerate Building Data Apps with Snowflake, Streamlit, and Fivetran: Workday Talent Management
Learn how Fivetran accelerates and automates data movement for Workday HCM data to the Snowflake Data Cloud. Using Fivetran’s fully automated and fully managed data movement service, you can achieve self-service data integration for all Snowflake data workloads quickly and securely and always be 100% automated. Kelly Kohlleffel steps you through creating a Workday to Snowflake connector with Fivetran for both the initial sync and ongoing incremental change data capture while creating a data app-ready dataset in Snowflake that is immediately useable, trusted, organized, and understandable by Streamlit.
Logging and Tracing in Astera
In this video, we will be learning about the Logging and Tracing Functionalities present within the API Component of Astera Data Stack.
10 Tips to Manage Redshift Costs Without Compromising Performance
Effective management of Redshift costs is closely tied to data storage optimization. Choosing the right data types and implementing data compression are pivotal in reducing storage footprints and costs. Redshift’s columnar storage format enhances query performance, which in turn can lead to significant savings. For a more comprehensive approach, integrating tools like Anodot can provide advanced analytics and real-time visibility to further streamline storage efficiency and optimize costs.
Fivetran vs Stitch Data: Deep Comparison
Fivetran and Stitch Data are two of the top contenders in the great ETL tool debate. But both platforms have their own sets of advantages and drawbacks. Choosing the right ETL platform for your business depends on several factors unique to your company, such as the types of data you need to analyze and the business intelligence (BI) you expect to glean from it. Which of these ETL/ELT platforms is the right option to add to your data stack?