Systems | Development | Analytics | API | Testing

Every company collects, analyses, and shares massive amounts of data internally or with business partners. But they typically rely on outdated sharing methods such as FTP and cloud buckets, which means rising data transformation costs, security holes, and stale data. Data analytics and science teams are looking for better ways to source and share data without having to create copies, improving data governance, and having access to the most up-to-date datasets in an analytics-ready format.

As a Snowflake customer, our priority is helping you become successful on your journey to being data-driven. From our fundamentals training to our role-based workshops, we have the training to meet your needs and enable your success with Snowflake Cloud Data Platform. Join the webinar to learn: Senior Director, Educational Services Snowflake Director, Instructor-Led Training Snowflake

Find out how to process critical data and generate reports much faster by using Snowflake as your data lake.

Being Amazon experts, Acorn Intelligence (Acorn-I) identified an opportunity to provide deep analytics and insights to their customers about their Amazon ecommerce investment and sales. To do this, Acorn-I built a new solution called Ignite, underpinned by the Snowflake Data Cloud. Ignite pulls in data from a wide range of platforms (Amazon Seller Central, Amazon Advertising, Shopify, WooCommerce, Facebook), and via its UI, it provides unique insights and optimisation opportunities for Acorn-I clients.

As organisations evolve to the cloud, so too do their requirements for security and governance. New forms of collaborating and analysing data in the cloud present new challenges that require a modern approach to ensure data is being used appropriately and compliance problems don't emerge. In this session, we'll discuss best practices for securing and governing data in the cloud to make your journey successful.

The way the world works has changed. While we continue social distancing and working from home, businesses need to transform - quickly, efficiently and in a cost-effective manner. While teams have begun working remotely at an unprecedented scale, are you facing challenges on business continuity: Well, if yes, Hitachi Vantara remote office solution experts are here to equip you address all these at a cost-effective, pay-per-use flexible consumption model.

Enterprises are falling behind on data privacy compliance and regulatory requirements (GDPR, CCPA etc.) to protect sensitive data. They use obsolete tools and manual processes that are inaccurate and error prone, delaying data consumption by months. Join us to learn how to bring Artificial Intelligence (AI) and Automation to effectively identify and protect ALL standard and firm-specific sensitive data.

Worker health and safety is more important than ever, especially with the rise of COVID19 and the need to ensure workers are safe, reduce risk of outbreaks, and provide transparency into how incidents, accidents, and security threats are being mitigated and managed. Join Hitachi in an interactive discussion to help employers get up to speed on the latest technologies to assist in worker safety and incident management, as well as lessons from the field and potential best practices enabled by innovative technologies.

Join our 30-minute live webinar and our technical product experts will show you how to start centralizing your data with Fivetran ready-to-use connectors. We'll also give you an overview of the data landscape and show you how leading companies are leveraging Fivetran as part of their modern data stack.

Be hands-on from the comfort of your own home! Immerse yourself in an interactive workshop where you will learn how to activate your modern data stack and elevate your data insights with Fivetran and Intricity. Visualization & learning to see how the modern data stack functions How Fivetran & Intricity elevate the modern data stack How to connect your data warehouse & BI tool Ways in which to leverage current data usage & insights