Tag: data warehouse

Feed: All - O'Reilly Media. Author: Jay Kreps. Hopscotch (source: Pixabay) To learn more about cutting-edge data science tools like Apache Kafka, check out the Strata Data Conference in Singapore, Dec. 4-7, 2017—early price ends October 20. Machine learning has become mainstream, and suddenly businesses everywhere are looking to build systems that use it to optimize aspects of their product, processes or customer experience. The cartoon version of machine learning sounds quite easy: you feed in training data made up of examples of good and bad outcomes, and the computer automatically learns from these and spits out a model that ... Read More

Feed: SAS Blogs. Author: Todd Wright. At several conferences I’ve attended lately, it’s been no surprise to find that everyone wants to talk about analytics. From supporting artificial intelligence to customer intelligence, organizations are looking for better ways to get value out of their data. For SAS, this is great news. Because this is what we do and will continue to do – add value to organizations’ data through the use of analytics. But for every successful end there must be a beginning. And for every insight gained from analytics there must be a strong data management foundation. To highlight ... Read More

Feed: All - O'Reilly Media. Author: Greg Rahn. Clouds (source: Pexels) Check out Greg Rahn’s session, “Rethinking data marts in the cloud: Common architectural patterns for analytics” at the Strata Data Conference in Singapore, December 4-7, 2017, to learn how to architect analytic workloads in the cloud and the core elements of data governance. Early price ends October 20. Many of us are all too familiar with the traditional way enterprises operate when it comes to on-premises data warehousing and data marts: the enterprise data warehouse (EDW) is often the center of the universe. Frequently, the EDW is treated a ... Read More

Feed: James Serra's Blog. Author: James Serra. There were so many good presentations at Microsoft Ignite, all of which can be viewed on-demand.  I wanted to list the big data related presentations that I found the most useful.  It’s a lot of stuff to watch and with our busy schedules can be quite challenging to view them all.  What I do is set aside 40 minutes every day to watch half a session (they are 75 minutes).  If may take a few weeks, but if you consistently watch you will be rewarded by a much better understanding of all the ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Bill Schmarzo. This blog is written in collaboration with the witting and insightful Matt Maccaux and his leading edge work around our elastic data platform and data lake.“Our organization is abuzz with the concept of data lakes!” a customer recently told me. And rightfully so, as the data lake holds the potential to help organizations become more effective at leveraging data and analytics to power their business models. That’s exactly what we propose when we talk about the Big Data Business Model Maturity Index, and helping organizations to exploit the power ... Read More

Feed: Databasejournal.com - Feature Database Articles. Author: . Many vendors with data centers and cloud storage now offer database as a service (DBaaS) as part of a set of solutions to customers. The typical business will benefit because the vendor handles the installation and upgrade of database management software, backup and recovery of databases, query performance tuning, capacity planning and database administration staff. Of course, this comes with a cost. Still, the ability to create and roll out applications quickly means that software development is not hampered by the need to acquire database resources, hire and train personnel and manage ... Read More

Feed: All - O'Reilly Media. Author: Neal Ford, Rebecca Parsons, Patrick Kua. Tunnel (source: StockSnap) Registration is now open for the O'Reilly Software Architecture Conference in New York 2018. Sign up now and get the best price. An evolutionary architecture supports guided, incremental change across multiple dimensions. our definition In 2010, Jez Humble and Dave Farley released Continuous Delivery, a collection of practices to enhance the engineering efficiency in software projects. They provided the mechanism for building and releasing software via automation and tools but not the structure of how to design evolvable software. Evolutionary architecture assumes these engineering practices ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: rob-utzschneider; Apache Hadoop infrastructure offers tremendous potential for modernizing the enterprise analytics architecture. In fact, one of the biggest use cases for Hadoop is to optimize the enterprise data warehouse (EDW) architecture, which is part of the enterprise analytics architecture. EDW optimization can involve a number of activities, including offloading both ETL workloads and unused data from the EDW to Hadoop. It can also help enrich EDW analytics and reporting by adding new sources of structured and unstructured data that get stored, processed and analyzed in a low-cost Hadoop ... Read More

Feed: Hortonworks Blog – Hortonworks. Author: Guest Author. Guest author Nagapriya Tiruthani, Offering Manager, IBM Big SQL, IBM Why Big SQL? Enterprise Data Warehousing (EDW) emerged as a logical home for all enterprise data that captures the essence of all enterprise systems. But in recent years, there’s been an explosion of data being captured from social media, sensors, etc. This rapid growth has put tremendous pressure on traditional systems as they run of space quickly.   Due to this new age data explosion, businesses are challenged to handle this rapid growth effectively and efficiently without relinquishing the ability of deriving existing insights, ... Read More

Feed: All - O'Reilly Media. Author: Shannon Cutt. Architecture (source: Pixabay) Register to attend the free O’Reilly webcast, "Closing the Gap Between Data Science and Real-Time Applications," presented by Mike Boyarski, on November 7, 2017. In this podcast episode, I speak with Gary Orenstein, chief marketing officer at MemSQL, a platform for real-time analytics that combines a database, a data warehouse, and streaming workloads into one system. We discuss trends that are driving advancements in data warehousing, how related technologies are changing as machine learning and AI evolve, and example use cases across industries. Here are some highlights from our chat: Data warehousing ... Read More