We\u2019re coming to the tipping point for public cloud adoption, and it\u2019s going to have big consequences for data warehousing, BI, and analytics. It\u2019s no longer a question of if we\u2019ll move analytics to the cloud, but rather of when. \u00a0There\u2019s also a big question of what enterprise class data integration will look like in a hybrid cloud.\nIn terms of the Innovation Curve, we\u2019ve moved from \u201cearly adopters\u201d to the \u201cearly majority.\u201d\u00a0 According to a recent Gartner survey, this year saw a 50 percent jump in the portion of respondents who said they plan to run mission critical applications on the cloud, from about 30 percent in each of the previous four years to 45 percent this year. \u00a0Many companies \u2013 even Fortune 1000\u00a0\u2013 are mandating that all new infrastructure will be in the cloud.\nCloud benefits\nHere\u2019s a quick recap of cloud benefits. First, speed to market of solutions: cloud infrastructure can be provisioned in days rather than months and provides unlimited scalability to speed up jobs or handle volume increases. Gone are the multi-month projects that involve adding servers, disks, cages, racks, cores, routers, switches, cables, etc. \u00a0Also gone are the time and hassle of adopting new best-of-breed infrastructure technology. Second; renting can cost a lot less owning: with public cloud solutions you pay only for the resources you need when you need them. Price wars between cloud service partners (CSPs) are bringing down prices, and competition for enterprise business combined with economies of scale will continue for years. Third; data and analytics innovators are targeting products for cloud. Lastly, CSPs provide uniform coverage globally and across time zones. The most common objection to cloud adoption is data security, but the evolving conventional wisdom is that cloud data is already safer than many, if not most, data centers.\nStarter projects for enterprise analytics in the cloud\nCSP analytics tool stack is reasonably complete and growing. In fact, major CSPs support big data tools Hadoop and Map Reduce, SQL database management systems, and a variety of data visualization and dashboarding tools. Additionally, cloud solution partners are creating new methods to long time problems such as parallelizing statistical processing and automating common data integration tasks (e.g., adapters for SAP).\nFor companies with an on premise Enterprise Data Warehouse (EDW) looking to start taking advantage of the cloud, here are a few project profiles that could be a good way to get started.\u00a0\n\nOne-time big data projects. Gigabytes to petabytes can be provisioned quickly and brought down when the project is complete whether it\u2019s weeks, months, or indefinitely until the job is done.\nAnything where you might be considering a massively parallel processing (MPP) appliance. Projects that require terabytes and up - and target tens to hundreds of users rather than thousands - could be a great place to start. Sophisticated appliance IT managers will be delighted by the cloud\u2019s flexibility. You won\u2019t need to pre-pay for capacity, and adding resources is done on a config screen versus buying a new rack.\nMachine learning projects. Hadoop\u2019s architecture suits this class of solution, and leading CPSs offer robust Hadoop distributions and machine learning analytic software.\nDepartmental dashboard projects. These are ideal for getting acquainted with a CSP\u2019s solution stack and development nuances. In fact, many of these are already up and running.\nIoT Data Lakes. These include both structured and semi-structured data, with volumes that can be enormous. Data lake projects are often constrained by Hadoop clusters being out of the box for on premise data centers. This isn\u2019t an obstacle for CSPs, whose offerings decouple storage and compute resources in order to economize on storage of less often used data.\n\nAnalytic data integration on the hybrid cloud\nA modern enterprise most likely includes on premise data centers, public cloud, and core SaaS applications to run the business including Salesforce, Workday, Marketo, LinkedIn, Google, IoT, Concur, and dozens more \u00a0are yet \u00a0to come. This is the hybrid cloud. The EDW is the de facto solution for analytic data integration (versus ESB\/EAI for operations applications). So what does the EDW look like in the hybrid cloud environment?\nAs we move into the era of self service analytics, a number of vendors envision a future of self-service data integration. For example, here\u2019s a quote from SnapLogic\u2019s web site: \u201cToday\u2019s \u2018citizen integrators\u2019 range from members of your enterprise IT organization, to people in sales operations, marketing, finance and HR, to analysts and administrators of SaaS applications \u2026 \u00a0These people are increasingly finding themselves in need of a fast, multi-point and modern cloud integration platform.\u201d\nBut what does this \u201cmulti-point and modern cloud integration\u201d platform look like?\u00a0 It may include a number of things but at a minimum it better include data management practices that create a single version of the truth, minimize re-work, document meta data, trace changes, ensure recoverability, and consolidate and certify heady data integration tasks; i.e., the unsung achievements of the EDW. It\u2019s going to be an interesting journey and we look forward to the ride.\nWe\u2019re coming to the tipping point for public cloud adoption, and it\u2019s going to have big consequences for data warehousing, BI, and analytics. It\u2019s no longer a question of if we\u2019ll move analytics to the cloud, but rather of when. \u00a0There\u2019s also a big question of what enterprise class data integration will look like in a hybrid cloud.\nIn terms of the Innovation Curve, we\u2019ve moved from \u201cearly adopters\u201d to the \u201cearly majority\u201d. \u00a0According to a recent Gartner survey, this year saw a 50% jump in the portion of respondents who said they plan to run mission critical applications on the cloud, from about 30 percent in each of the previous four years to 45 percent this year. \u00a0Many companies \u2013 even Fortune 1000 - are mandating that all new infrastructure will be in the cloud.