Svg Vector Icons : http://www.onlinewebfonts.com/icon More Trending Articles

Analyze Big Data More Efficiently

Data Cloud for Dummies Cloud Data Lake for Dummies

Big Data is revealing business insights in many industries. Decision makers in finance, healthcare, retail, education and other verticals rely on the accurate processing and analyzing of data to direct corporate strategy.

The need to analyze Big Data more efficiently becomes increasingly more significant as the volume of data grows. Additionally, multiple data sources and users create data storage challenges.

Proper analysis requires the right data ingestion tools, software, architecture and accuracy.

HOW TO GET THERE

A key first step to analyzing big data more efficiently is centralizing your data. Data sources increase, and so can opportunities for incomplete migrations and lost data.

A centralized data platform provides peace of mind that data loading, storage and querying will occur around a single source.

Scalable infrastructure also ensures that you will not outgrow your data platform or data warehousing architecture. Securing flexibility today eliminates the growing pains of tomorrow.

Of course, data management costs are a factor. A no-maintenance environment improves your company's bottom line and keeps the focus on the data.

ACTING UPON BIG DATA

With confidence in your data quality, business intelligence solutions can be delivered in real time.

Traditional data warehouse and NoSQL systems create problems for organizations attempting to deliver meaningful insights quickly and at scale. In a cloud-based system built to handle growth and concurrency, the application of analytics in real-time is not just a possibility, it's a reality.

Financial service organizations are faced with security challenges constantly. Snowflake's data warehouse built for the cloud provides banks, brokerages and FinTech startups the platform they need to perform financial data analytics.

Disparate data types often create obstacles for traditional databases. Snowflake's unique architecture natively supports semi-structured data. Whereas most warehouses can only support one format, Snowflake users can process semi-structured data like Avro, JSON and XML alongside relational data.

Virtual Hands-on Lab

This hands-on workshop focuses on increasing your efficiency, scaling to your needs and analyzing your data thoroughly. Learn how to set up a data warehouse and generate the insights your business needs.

Find a workshop online.

SNOWFLAKE WEEKLY LIVE DEMO

Learn how the Snowflake AI Data Cloud has changed the landscape for cloud analytics. Our weekly 30-minute demos feature product experts introducing key Snowflake features, explaining Snowflake's unique architecture and answering live questions.