We’re announcing a key capability to help organizations govern their data in Google Cloud. Our new BigQuery table-level access controls (table ACLs) are an important step that enables you to control your data and share it at an even finer granularity. Table ACLs also bring closer compatibility with other data warehouse systems where the base security primitives include tables—allowing migration of security policies more easily.
Banking and financial services organizations are all about customer relationships. By connecting with customers and assisting alongside their financial journeys, these organizations become trusted partners. Building trust and confidence increases the share of wallet and lifetime value. To achieve that on a global scale, you need to leverage big data and predictive analytics. As customers navigate their personal finances, they are looking for a bank they can trust.
Snowflake customer, Merkle Inc., has created a new set of COVID-19 interactive dashboards for businesses to use for free to determine which counties in the U.S. will most likely experience an economic recovery first. As economies reopen, states hit hardest by COVID-19, or states that relax social distancing measures sooner rather than later, will not reveal local market opportunities as they emerge.
In Part 1, we covered the high-level objectives and methods for attacking service accounts. In Part 2 we discuss defense-in-depth mitigations to those methods. By the end of this blog, you will be able to apply secure-by-default mitigations to threats impacting Snowflake service accounts. The following table from Part 1 highlights the objectives and methods we want to mitigate: These secure-by-default mitigations help prevent and constrain credential misuse from theft and guessing attacks.
Clive Humby stated, as far back as 2006, “data is the new oil.” The quote really took off following this 2017 report from The Economist. As a former chemical process engineer, oil immediately makes me think of refining it. Today’s analytics platform for the complete data lifecycle does the same for data as the refinery distillation columns does for crude oil: distilling value.
The world has turned upside down. You don’t need me to tell you that. And, thanks to weeks of working from home, a new way of working may be upon us when we flip back. Many are seeing this period as a pivotal time in changing the way many organisations will function. Business has seen first hand that it can run effectively with many of its people working remotely.
The ingredients of competitive advantage and differentiation tend to evolve over time. Throughout history they have included access to capital, raw materials, labor; they have been based on economies of scale and economies of scope. At IDC, it is our contention that the new basis for differentiation will be economies of intelligence.
It’s only natural to edge forward incrementally. But every once in a while, there is a step-level change that really alters the game. The Data Cloud is exactly that – an opportunity to completely mobilize your data in the service of your business. The Data Cloud is a new type of cloud, so you can avoid bunkering and siloing your data across the infrastructure and application clouds, as well as your on-premise systems.
At Snowflake, we are relentlessly focused on our customers and on creating innovative technology to better serve their needs. Today marks another milestone where we demonstrate such focus. In this blog, I detail the latest innovations to our cloud data platform. These new features make even more powerful all six data workloads enabled by our platform – data warehouse, data lake, data exchange, data applications, data engineering, and data science.
