Big Data Shaping Information into real business intelligence with analytics ready infrastructure
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1 Big Data Shaping Information into real business intelligence with analytics ready infrastructure
2 BIG DATA INTRO Out of data we extract information Out of information we gain knowledge Out of knowledge we gain a competitive advantage
3 BIG DATA -BUSINESS INTELLIGENCE 4Business intelligence (BI) is the transformation of raw data into meaningful and useful information (Wikipedia) Howard Dresner (later a Gartner Group analyst) proposed "business intelligence" as an umbrella term to describe "concepts and methods to improve business decision making by using fact-based support systems. 3
4 BIG DATA -IMPORTANTCOMPONENTS = Big Data Infrastructure Technology Components DATA Analytics Support + DATA 4
5 BIG DATA TIME IS MONEY Use case Short time to project Short time to production Enterprise IT Integration 5
6 BIG DATA -CHALLENGE Business Department 4Use Case oriented, creative 4 Function centric view on Big Data Platform 4Often Starts Big Data initiative 4 Has Budget 4Wants/needs agility business driven IT Department 4Reliability, Stability, Governance, Security, Availability - First! 4Enterprise IT centric view on Big Data Platform 4Agility is a challenge 4Need for Analytic Ready Infrastructure (ARI) 4Hardware Architecture + Platform- Consulting 6
7 BIG DATA FUNCTIONALSTACK Big Data Functional Stack Vizualisation, Presentation Data Movement Business Abstraction Layer (Views, Collections, Cubes) Application Functionality(Code) Data (managed and governanced) Platform (Infrastructure) Storage Infrastructure Business Department IT Department 7
8 BIG DATA FUNCTIONALSTACK Big Data Functional Stack Vizualisation, Presentation Data Movement Business Abstraction Layer (Views, Collections, Cubes) Application Functionality(Code) Data (managed and governanced) Platform (Infrastructure) Business Department Analytic Ready Infrastructure (ARI) Storage Infrastructure 8
9 CHALLENGESFORARI Enterprise IT Integration Technology Blueprints / Consulting Reference Architectures Installation / Configuration Expertise 4IT Integration Concepts 4Security Concepts 4Operation procedures 4Best practiceplatform recommendations 4Technology decision and hard-& software selectionbased on use case 4 Platform reference architecures 4HW sizing expertise 4 Standardizedinstallation procedures 4Best practice configurations 9
10 ENTERPRISE IT INTEGRATION CHALLENGE DATALAKE Web & Social Media 4Clickstreams 4Facebook, Twitter 4 Web-Inhalt Transactions 4Master Data 4Transaction Data 4ERP Data Enterprise Content 4 s 4 Documents MachineData 4Sensoren 4Smart Metering 4RFID Data Lake Classification and Ownership Data Secure Data Protection Data Availability Multitenancy
11 DATA -MANAGEMENTAND GOVERNANCE CONCEPT HEADLINES 4Is business sensitive data in the data lake? 4It has to be managed and and governanced in the same way as the original data! 4Classification and Ownership, Data Security, Data Protection! 4Is Multitenancy used in my business? 4Multitenancy might also be a requirement for the Big Data platform 4How business critical is the Big Data Platform? 4Data Availability, Replication?, Mirroring? 4 11
12 ANALYTICREADYINFRASTRUCTURE Enterprise IT Integration 1. Data Availability 2. Data Protection 3. Data Secure 4. Data Classification and Ownership 5. Multitenancy 6. Infrastructure integration Blueprints are available! Technology Blueprints / Consulting Enterprise IT Integration Reference Architectures Installation / Configuration Expertise 12
13 ANALYTICREADYINFRASTRUCTURE Technology Blueprints/ Consulting 1. Create BIG DATA Blueprint 2. Proactive planing of BIG DATA Platform? 3. BIG DATA Platform or dedicated BIG DATA Application? Technology Blueprints / Consulting Enterprise IT Integration Reference Architectures Installation / Configuration Expertise 13
14 ANALYTICREADYINFRASTRUCTURE Reference Architectures 1. Storage/hardware, based on the requirements 2. Installation on Virtual Hardware Platform or direct on Hardware? 3. Use Hardware bundles from Hardware Manufacturers, e.g. Cisco 4. Use scale out architecture Technology Blueprints / Consulting Enterprise IT Integration Reference Architectures Installation / Configuration Expertise 14
15 ANALYTICREADYINFRASTRUCTURE Reference Architectures-Cisco UCS Common Platform Architecture for Big Data 4 Pre-Tested and Pre-Validated Configuration 4 Combined Value of the Partner Ecosystem 4 Broad and Strong Partnerships and Solutions with Cisco Validated Designs 4 Predictable, Massive Scalability scales easily to 1000 s of nodes 4 Lower cost for integrated compute + network infrastructure 4 Best practice configurations Enterprise IT Integration Technology Blueprints / Consulting Reference Architectures Installation / Configuratio n Expertise 15
16 ANALYTICREADYINFRASTRUCTURE Installation / Configuration 1. Standardized installation procedures 2. Best practice configurations Technology Blueprints / Consulting Enterprise IT Integration Reference Architectures Installation / Configuration Expertise 16
17 BIG DATA -ANALYTICREADYINFRASTRUCTURE COVERS IMPORTANTCOMPONENTS = Big Data Infrastructure Technology Components DATA Analytics Support + DATA 17
18 ANALYTICREADYINFRASTRUCTURE Summary Analytic Ready Infrastructure 4Best Parctice to support Technology Component decisions 4Prepare IT Department to ask the right question to Business Department BIG DATA Team 4Build Blueprint for Enterprise Integration 4Best Practise and Consulting for Hardware Selection and Sizing 4Best Practise for Installation and Configuration 1. Accelerate time to value 2. Protect Your Data 3. Focus on Business Technology Blueprints / Consulting Enterprise IT Integration Reference Architectures Installation / Configuration Expertise 18
19 START PLANING BUILDBLUEPRINTNOW! 4Time is money 4Start to build your blueprint for an Analytic Ready Infrastructure now! 19
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