zdata data lake solutions and the internet of things
DESCRIPTION
The recent advancements to the Internet Revolution: intelligent devices, intelligent networks and intelligent decisions are driving the need to re-think the traditional EDW. Commonly referred to as the Internet of Things, this new reality is driving concepts like the Unified Data Hub and Business Data Lake. Many CTO's are feeling the pressure to invest in the approach but struggle with up front investment and simply don't have the time for a multi-year implementation. zData provides the necessary Big Data-as-a-Service, targeted at utilizing open source technologies in the cloud to help ease the migration into enterprise class solutions like PivotalHD and Cloudera. These easily consumable service offerings provide a clear path to utilize Hadoop driven methods designed to address enterprise concepts like the Business Data Lake. In many ways these services are not unlike the operational data store seen between transactional systems and the data warehouse. In the new world any file can be “dumped” in the lake with no attention to data integration or transformation and at the same time retaining the artifacts of its origin for reporting and analytics. zData’s focus on the Data Lake architecture introduces innovative ways for companies like GE and Intel to quickly store and derive value from data being generated by their device eco-system.TRANSCRIPT
Data Lake Solutions The Data Lake & The Internet of Things
Solutions Big Data-‐as-‐a-‐Service
Standard Offerings Reference Software And Architecture
Standard Offerings – Growth & Migration Path
ZD50 Package Includes: -‐ Fundamentals Training -‐ 1 Day -‐ Cloud Managed Hosting -‐ Data Storage -‐ Open Source Environment
Analytics and BI
ZD100 Package Includes: -‐ Quickstart Training – 3 Day -‐ Cloud Managed Hosting -‐ Data Storage -‐ Analytics and BI Environment
ZD1000 Package Includes: -‐ Advanced Training -‐ 5 Day -‐ On Prem Hosting -‐ Data Storage -‐ Analytics and BI Environment
The ZD50, ZD100, ZD1000 can be implemented with the Business Data Lake solu<ons
Turnkey migration path
Reference Software and Architecture
-‐ Open Source Technologies – Data Storage,
BI and Analy;cs Tools
-‐ Managed Cloud Hos;ng
-‐ Tes;ng and Exploratory Phase
-‐ Cost Effec;ve Entry Point
-‐ Enterprise SoDware and Hardware Solu;ons
-‐ Managed Services from Cloud to On Prem Hos;ng
-‐ Agile, Full-‐Stack Offering
Solutions Data Lake
Business Data Lake (Data Hub)
Industrial Data Lake
Standard Offerings
Business Data Lake / Enterprise Data Hub
-‐ Store unlimited amounts of data in any format, schema and type -‐ Explore, extract, and analyze data more efficiently
Industrial Data Lake -‐ Internet of Things
- Inter-‐connect and leverage machines embedded with sensors and software - Collection and aggregation of data - Real Time Process Optimization
Data Lake Quickstarts
– 2 Days Tools Training – 2 Day Architecture – 1 Day Analytics Demo – 2 Days Collaboration – 2 Days Exploration
– 3 Days Tools Training – 2 Day Architecture – 3 Week Mini-‐Project – 2 Week Discovery Review
– 5 Days Training – Analytics Roadmap – Test Model Deployment – Multiple Iterations
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