Under the Hood: Cloud Analytics. CLD105 May 25 th Wednesday

Transcription

1 Under the Hood: Cloud Analytics CLD105 May 25 th Wednesday

2 Session Agenda Introduction RedHat Informatica Demo Q&A

3 Today s Presenters Ian Firman Abhisek Sinha Analytics Architect, Red Hat Inc. Principal Product Manager, Informatica Anwesa Chatterjee Director, Product Marketing, Informatica

4 About Red Hat The world's leading provider of open source solutions We help more than 90% of Fortune 500 companies solve business challenges, align their IT and business strategies, and prepare for the future of technology. We do this by providing secure solutions through an open business model and an affordable, predictable subscription model. 35 Countries, 80+ Offices, 8,000+ people Cloud relevant products include: OpenShift Enterprise Linux JBoss Data Virtualization RHEV Advanced Storage Software

5 Red Hat Business Challenges Speed Implementation of internal projects (months is too long) Acquiring new data sources (months is too long) Processing time for data refreshes (6 hours is too long) Missing Capabilities Enterprise analytics with advanced visualizations A mobile platform Time series analysis due to lacking historical data

6 Red Hat Specific Use Cases Sales Marketing Needed a customer centric view combining opportunity, sales and support data with both current state and historical trending Better understand the customer lifecycle from leads, campaigns and support data Engineering Optimize internal engineering resources based on customer deployments of products, versions and options. Predict future product adoption rates for capacity planning of support personnel and compute resources

7 Red Hat Legacy BI Architecture SAAS On Premise Reprocess (cleanse, aggregate) Data Warehouse Operational Reports Transactional Relational DBs

8 Solution Considerations Private Cloud vs Public Cloud Time to deploy/implement SAAS vs Cloud components vs Full install/maintain Required skills and availability Open Source vs Commercial Feature sets and roadmaps Hybrid Private & Public Cloud Best of Breed DBAAS (Redshift) Cloud components (Informatica Cloud, AWS S3 & EC2) Full install/maintain (SAS Visual Analytics) Methodology change to Agile

9 Red Hat Current Analytics Architecture SAAS Public Cloud Private Cloud Analytics Mobile Redshift Operational Reports S3 Various Sources

10 Outcome of New Solutions ETL development dropped from days to hours Data Mart development/enhancements dropped from weeks to days Nightly Data Warehouse loads take less than 3 hours Automatic patches/upgrades to Cloud components monthly/quarterly Easy and fast to add new IC Connectors in minutes Easy and fast to scale

11 Lessons Learned and Recommendations Identify and prioritize needs where Cloud could be leveraged Consider exiting/changing Cloud components/providers Validate interoperability of Clouds or hybrid-cloud Review legal obligations Protect your data in-flight (network) and at rest (disk) Experiment and prove value before locking in Reevaluate options on regular basis

12 Informatica

13 3 Key Changes in How Businesses Are Using Data New kinds of data to run your business Data that you need is beyond your computer Empower every user with the right data

14 Traditional Analytics Solutions Are Not Enough Before Now Traditional Analytics is not enough Costly & complex to handle increasing data volumes Designed primarily for on-premise data sources Designed for BI experts with long turnaround times Traditional Analytics Cloud Analytics Cloud Analytics can augment traditional analytics Unlimited scaling, on-demand flexibility, pay for what you use Designed for Cloud and on-premise data sources Simplified user experience and dashboards designed for business users

15 What is cloud analytics made up of? Performance Management and Analytic Applications (e.g. Workday, NetSuite) Business Intelligence & Analytics Tools (e.g. Wave, Tableau) End user facing Data Preparation Tools & Connectors (Informatica) Data Warehouse (Cloud and/or on-premise) (AWS Redshift, Azure SQL DW etc.) Analytical Infrastructure Data Integration and Governance (Informatica) RDBMS Big Data Non-relational Datasources

16 Typical Cloud Analytics Use Cases New kinds of data to run your business Data that you need is beyond your computer Empower every user with the right data Cloud Data Warehouse Hybrid Data Warehouse Self Service Business Intelligence

17 Informatica for Cloud Datawarehouse Social Media IoT Logs Salesforce Wave Cloud applications & databases Cloud Data Warehouse (e.g. Redshift, SQL DW) Microsoft PowerBI ERP, On-Premise Apps Legacy RDBMS Traditional Data Warehouse , Files (Terradata, MS, Oracle etc.) Tableau

18 Informatica for Hybrid Datawarehouse Social Media IoT Logs Salesforce Wave Cloud applications & databases Cloud Data Warehouse (e.g. Redshift, SQL DW) Microsoft PowerBI ERP, On-Premise Apps Legacy RDBMS , Files On-premise Data Warehouse (Terradata, MS, Oracle etc.) Tableau

19 Informatica for Self Service Business Intelligence Salesforce Wave Microsoft PowerBI Tableau

20 Informatica Ecosystem Bundles for Cloud Analytics Redshift SQL Data Warehouse

21 DEMO Informatica Solutions for Cloud Analytics

22 Informatica Cloud Summer 2016 Release Webinar June 2 Register NOW at the Informatica.com Events Page Informatica. Proprietary 2

23 Must See Cloud Sessions Session # Session Title Date CLD113 ILM: The Cloud-based Factory Model Wed, 8:00-9:00 CLD104 Hybrid Cloud Integration: Using PowerCenter and Informatica Cloud Wed, 9:15-10:15 CLD106 Next Generation Cloud Data Warehousing with Informatica PowerCenter and Wed, 10:30- Microsoft Azure 11:30 CLD107 Best Practices for Hybrid Integration Across Salesforce.com Clouds Wed, 1:45-2:45 CLD110 Securing Salesforce.com Data in a Hybrid Environment Wed, 1:45-2:45 CLD108 Powerful Integration Patterns for Unified Batch and Real-Time App Integration Wed, 3:00-4:00

24 1 2 3 Register for a 30 day trial Get smart! Learn more at the Informatica Solutions Expo. Tell us what you think. Click on Evaluations in the IW16 Mobile App.

25