State and local government agencies in the US are facing heightened demand to address a long-avoided issue: outdated technology. The existing solutions these government organizations rely on are not user friendly, limit collaboration by siloing essential data, and make processes longer and more cumbersome than they need to be. Yet, despite the limitations that result from outdated solutions, it should come as no surprise that only 60% of states have a digital strategy.
We’re excited to announce that we’ve teamed up with Rivery to offer our data pipeline and monitoring solutions in one. Our one-click Data Kits streamline the analytics process, saving teams valuable time so they can act on business incidents fast. To kick things off, we’re releasing the Anodot Marketing Analytics Monitoring Kit. Now you can start tracking your marketing campaigns instantly, and make the moves that will make the most of your ad spend.
Would you like to learn to code and build popular websites or apps? Do you know the necessary steps to achieve this goal? Most people start by reading popular programming books or subscribing to online courses and tutorials that teach coding. While this approach may seem enjoyable at first, you’re likely to encounter confusing concepts and inadequate assistance quickly frustrates most newbie programmers.
With the general availability of Cloudera DataFlow for the Public Cloud (CDF-PC), our customers can now self-serve deployments of Apache NiFi data flows on Kubernetes clusters in a cost effective way providing auto scaling, resource isolation and monitoring with KPI-based alerting. You can find more information in this release announcement blog post and in this technical deep dive blog post. Any customer willing to run NiFi flows efficiently at scale should now consider adopting CDF-PC.
At Snowday 2021, Snowflake announced exciting new product capabilities that expand what is possible in the Data Cloud. In addition to announcing Python support in Snowpark (currently in private preview), these latest innovations make it easier for organizations to maintain business continuity across clouds and regions; help data engineers and data scientists build pipelines, ML workflows, and data applications faster; and remove the complexity of getting the right data into the hands of customers.