| | | GRAPH ANALYTICS FOR DATA SCIENTISTS | | Analyzing data using conventional statistical methods involves looking at tabular data where data points are independent of each other, e.g. a person’s age is independent of any other person’s age.These approaches limit the insight that can be gained as there’s often knowledge hidd... | | |
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| | | DATABASE MANAGEMENT TODAY: NEW STRATEGIES AND TECHNOLOGIES | | From machine learning and automation, to hybrid and multicloud environments, technology trends continue to reshape the practice of database management. As a result, database professionals face new challenges and opportunities. Today, the average database team is tasked with managing more databases, ... | | |
| | | BUILDING A MODERN DATA PLATFORM WEBINAR SERIES | | Join us as we kick off a new webinar series featuring some of the most impactful tools needed to create a modern data platform — a collection of tools and capabilities that, when brought together, allow organizations to achieve a fundamentally data-driven organization.The webinar series will f... | | |
| | | CONSIDERATIONS FOR A SUCCESSFUL DATA PLATFORM | | All effective organisations – regardless of sector or size – want to use their data to drive their products, services and business performance forward. A pillar of any good data strategy is the technology and architecture used to underpin that capability. | | |
| | | FUTURE OF ARTIFICIAL INTELLIGENCE & ANALYTICS FOR FI WEBINAR | | Group Futurista presents the Future of Artificial Intelligence and Analytics in Banking, a webinar with revolutionary keynotes, case studies, and panel discussions. It brings together experts from the fields of Banking, and various Financial Institutions to discuss how AI and Deep Learning are impac... | | |
| | | INCREASE AGILITY WITH DATAOPS | | DataOps is starting to show up on the radar of many IT leaders.It helps organisations rapidly produce insight, turn that insight into operational tools, and continuously improve analytic operations and performance.The principles of Agile, DevOps and Lean Manufacturing come together; as concept desig... | | |
| | | UNLOCKING THE POWER OF DATAOPS | | DataOps is on the rise at enterprises looking to bring improved quality and reduced cycle times to data analytics. Borrowing from Agile Development, DevOps and statistical process control, this new methodology is poised to revolutionize data analytics with its eye on the entire data lifecycle. Howev... | | |
| | | EXPANDING YOUR DATA SCIENCE AND MACHINE LEARNING CAPABILITIES | | Surviving and thriving with data science and machine learning means not only having the right platforms, tools and skills, but identifying use cases and implementing processes that can deliver repeatable, scalable business value. The challenges are numerous, from selecting data sets and data platfor... | | |
| | | BRIDGING THE GAP BETWEEN DATA MANAGEMENT AND DEVOPS | | Even the best DevOps initiatives can fall victim to data bottlenecks, from challenges provisioning data quickly, to synchronizing application and database changes and, in many cases, a serious lack of cooperation between developers and database administrators. The speed and flexibility requirements ... | | |
| | | TAKING YOUR DATA AND ANALYTICS TO THE CLOUD | | From data lakes and data warehouses, to hybrid and multicloud environments, the world of analytics continues to evolve to meet the demand for fast, easy and wide-ranging data access. In a recent survey of DBTA subscribers, 72% indicated they were undertaking digital transformation projects focused o... | | |
| | | SUPPORTING MODERN APPLICATIONS: DATA MANAGEMENT FOR SPEED & SCALE | | As applications continue to grow in scale and complexity, so does the challenge of supporting them. From geo-distribution, to high-volume transactions and the processing of new data types, modern apps require speed, scalability and flexibility. Modern apps also need to be able to take advantage of t... | | |