…and it’s looking Kafka-esque. So to speak.
Today SnapLogic announced our Spring 2016 platform and Snap release. Overall, we believe this release will help our customers focus on data insights, not data engineering. It takes a lot of the repetitive, time-consuming activities around data ingest-preparation-delivery and makes them reusable and simple. We also believe that this release will help our customers continue to stay abreast of the ever-changing big data technology ecosystem, and choose the right tools and frameworks for each job. Continue reading “SnapLogic’s Latest Release: Spring 2016 has Sprung…”
This article originally appeared as a slide slow on ITBusinessEdge: Data Lakes – 8 Data Management Requirements.
2016 is the year of the data lake. It will surround, and in some cases drown the data warehouse and we’ll see significant technology innovations, methodologies and reference architectures that turn the promise of broader data access and big data insights into a reality. But big data solutions must mature and go beyond the role of being primarily developer tools for highly skilled programmers. The enterprise data lake will allow organizations to track, manage and leverage data they’ve never had access to in the past. New enterprise data management strategies are already leading to more predictive and prescriptive analytics that are driving improved customer service experiences, cost savings and an overall competitive advantage when there is the right alignment with key business initiatives. Continue reading “Eight Data Management Requirements for the Enterprise Data Lake”