Snowflake Native Apps Overview
Leverage the Snowflake Native App Framework to build, market, monetize, and distribute an app to customers across the Data Cloud seamlessly and securely. Public Preview on AWS. Private Preview on GCP and Azure.
Real-time Fraud Detection - Use Case Implementation
When it comes to fraud detection in financial services, streaming data with Confluent enables you to build the right intelligence-as early as possible-for precise and predictive responses. Learn how Confluent's event-driven architecture and streaming pipelines deliver a continuous flow of data, aggregated from wherever it resides in your enterprise, to whichever application or team needs to see it. Enrich each interaction, each transaction, and each anomaly with real-time context so your fraud detection systems have the intelligence to get ahead.
Designing Event-Driven Systems
Many forces affect software today: larger datasets, geographical disparities, complex company structures, and the growing need to be fast and nimble in the face of change. Proven approaches such as service-oriented (SOA) and event-driven architectures (EDA) are joined by newer techniques such as microservices, reactive architectures, DevOps, and stream processing. Many of these patterns are successful by themselves, but as this practical ebook demonstrates, they provide a more holistic and compelling approach when applied together.
Data Lake vs Data Warehouse
Data warehouses and data lakes represent two of the leading solutions for enterprise data management in 2023. While data warehouses and data lakes may share some overlapping features and use cases, there are fundamental differences in the data management philosophies, design characteristics, and ideal use conditions for each of these technologies.
Announcing BigQuery Studio - a collaborative analytics workspace to accelerate data-to-AI workflows
BigQuery Studio lets analytics practitioners use SQL, Python, Spark or natural language directly within BigQuery, to streamline analytics workflows.
Harnessing the power of PaLM in BigQuery
By integrating Vertex AI foundation models in BigQuery, you can analyze unstructured data from right inside BigQuery.
Active Data Warehouses vs. Traditional Data Warehouses
In the digital age, data is the lifeblood of any organization. The way you store and analyze your data can significantly impact your success. This is where data warehouses come into the picture. Data warehouses are essential for businesses of all sizes, as they provide a central repository for data from a variety of sources, which can then be used for analysis and reporting. This data can be used to make better business decisions, improve operational efficiency, and identify new opportunities.
ThoughtSpot for the Connected Google Workspace
I’m calling it now. The next battleground for analytics adoption among business users will be the productivity suite. Let’s unpack that statement by considering these two examples: Traditional BI has always forced you down a one-way street for answers—drop what you are doing, login to the BI tool, and pray to the data deities that you can find the answer you’re looking for.
10 Best Data Ingestion Tools for Data Teams in 2023
Tired of manually correcting broken data ingestion pipelines? We’ve got 10 tools that can help you save data engineering hours and automate data ingestion end-to-end. Of course, since you’ve landed on the Keboola blog, it's no surprise that we've got Keboola on the list. We’re playing favorites, but hear us out: Keboola is the only tool we know inside out and can vouch for it without a doubt.
Advanced Marketing Analytics: Examples, Tools & Courses
Advanced marketing analytics help you simplify multitouch attribution, create tailored marketing campaigns, and maximize return on investment (ROI) across channels. It helps you seek patterns and insights to improve marketing performance. These days, you can’t do online marketing without advanced analytics. Moreover, you need the right tools and skills to make sense of data scattered across multiple apps.