Hybrid Data Management

Transcription

1 Hybrid Data Management Gain value from your data without limits Chris Reuter North America Data Warehouse Sales IBM Analytics March 2018

2 Agenda 1 Themes of data 2 Data Management Strategy 3 IBM s Vision 4 Recap where have we been?

3 Agenda 1 Themes of data 2 Data Management Strategy 3 IBM s Vision 4 Recap where have we been?

4 Data will see a 30% CAGR through 2025 IDC in Seagate: The Data Age Information courtesy of IDC. Seagate: The Data Age. Available here.

5 Theme #1: Data is growing, and growing fast Real-time data and cognitive/artificial intelligence systems will change the landscape 2025 Projections 30% CAGR through 2025 Average connected person will interact with 4,800 devices/day 163 ZB to be created in 2025 (4 ZB created in past 20 years) A greater share of data will be critical Time 5 Information courtesy of IDC. Seagate: The Data Age. Available here.

6 Investment growth in AI has grown 3x since 2013 McKinsey Artificial Intelligence: The Next Digital Frontier? Link to McKinsey -- Artificial Intelligence: The Next Digital Frontier?

7 Theme #2: Data Science and Machine Learning How can my analytics deployments transition from the simple to the complex? Demand for data scientists will rise by more than 28% between now and 2020 IBM Citizen data analyst has grown 5x that of traditional data scientists Gartner Investment in AI and Machine Learning has grown 3x from McKinsey Only 12% of machine learning use cases have progressed past experimental McKinsey 7 Link to McKinsey -- Artificial Intelligence: The Next Digital Frontier?

8 There is value in all approaches to cloud, whether the strategy is pure cloud or not, depending on the enterprise and end goals. Gartner Cloud Strategy Leadership Gartner Cloud Strategy Leadership

9 Theme #3: Deployment Uncertainty Where is the right place to deploy my data? The deployment spectrum 100% On-prem You re going to be somewhere in here 100% Cloud A TYPICAL CONVERSATION I love the flexibility and scalability of cloud. Plus, it eliminates my need for redundant systems! -Every client ever 5 MINUTES LATER The transition to cloud is risky. I don t want to rewrite my SQL, my ETL or my apps. I don t want to lose control of my own security measures. -Also every client ever 9

10 Agenda 1 Themes of data 2 Data Management Strategy 3 IBM s Vision 4 Recap where have we been?

11 Why you need a data management strategy Data is proliferating, it s stored in different locations and formats. Businesses don t do a good job of accessing all possible data! 15 % 0.5 % 80 % 50 % 10 % of organizations fully leverage data and analytics Forbes of all data is actually analyzed MIT Technology review of all data is stored by corporations Baseline Magazine of large enterprises will have hybrid cloud deployments by the end of 2017 IBM Institute for Business Value increase in data accessibility will result in more than $65 M additional net income Baseline Magazine 11

12 What our customers are trying to solve Innovation Create and own the data management strategy Self-service Remove restrictions and democratize access to data Flexibility Ability to choose deployment and licensing models, workload types, technologies Efficiency Optimize data architecture and life cycle management to reduce cost, increase performance and protect existing investments Enterprise-strong Address data sprawl, workloads and open source technologies that can scale with the business Portability The ability to move data and insights where needed, without the requirement to re-architect applications 12

13 The elements of a good hybrid data management strategy Access your data All sources and all types Democratize access Provide data-driven decisions to everyone Flexibility Support all data types, all workloads, all consumption models Gain value from your data without limits Analytics for all data Easily query all of your data Intelligent analytics Make better decisions, provide smarter capabilities Cloud journey Support your data regardless of location 13

14 Agenda 1 Themes of data 2 Data Management Strategy 3 IBM s Vision 4 Recap where have we been?

15 IBM s strategy is NOT about Cloud OR On-premises It s about Cloud AND On-premises NOT about Traditional Relational OR Open Source It s about Traditional Relational AND Open Source NOT about SQL OR NoSQL It s about SQL AND NoSQL NOT about Structured OR Unstructured Data It s about Structured AND Unstructured Data Hybrid 15

16 The framework for success IBM Hybrid Data Management solutions Anchored by a Common SQL Engine enabling true, highly scalable hybrid data warehousing solutions with portable analytics Managed public Cloud DBaaS Software defined warehouse on-premises or in cloud Dedicated analytics appliance Custom deployable database Open source Hadoop with Hortonworks Db2 on Cloud Db2 warehouse IBM Integrated Analytics System Db2 Big SQL Application compatibility Write once, run anywhere Operational compatibility Reuse operational and housekeeping procedures Licensing Flexible entitlements for business agility and cost-optimization Integration Common Fluid Query capabilities for query federation and data movement Standardized analytics Common programming model for in-db analytics Ecosystem One ISV product certification for all platforms 16

17 Differentiated value More intelligent analytics With embedded machine learning and HTAP Deploy your data where you need it With options for on-premises and cloud IBM Hybrid Data Management Go at the speed of your business With faster analytics through HTAP and BLU Acceleration Write once, run anywhere, from any source With a Common SQL Engine and federation 17

18 Access data from any source Write your applications to pull data from IBM and our solutions can provide transparent access to other data sources. Your applications IBM Hybrid Data Management Other data sources 18

19 More intelligent analytics Drive more value from your data with the ability to run analytics where the data lives using tools already preferred by analytics professionals Jupityr Notebooks built-in Embedded Machine Learning Integration with model building tools Spark built-in Integration with BI and visualization tools 19

20 Deploy your data where you need it Enables a controlled journey to the cloud Offers flexibility in choosing the form factor (combinations) that best suit the business needs Public cloud Accelerates time to value: Start small and move fast Enable course corrections without penalties Bridge data stores for seamless data integration or application movement Write once run anywhere application paradigm On-premises Private cloud 20

21 Agenda 1 Themes of data 2 Data Management Strategy 3 IBM s Vision 4 Recap where have we been?

22 Get started today Learn more Try it out Start your journey Learn more: Visit the IBM marketplace page - Hybrid Data Management Trials and downloads: Available on ibm.com Get started using IBM Cloud services DataFirst Method: Provides the strategy, expertise and roadmap to ensure organizations gain the most value from data and achieve their goals

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