Synapse Rapid Assessment 2-Day Workshop SOFTSERVE by the NUMBERS

FREE Migration to Synapse Rapid Assessment 2-Day Workshop SOFTSERVE BY THE NUMBERS

10,000+ 38 12 77

Associates Offices Countries NPS score around the globe With SoftServe Clients (Q3 2020)

10,000+ 6,500+ 1,200+ 92%

Projects Software Engineers Cloud experts Client Return % For Customers GLOBAL NETWORK

OSLO BIALYSTOK

WARSAW KHARKIV WROCLAW RIVNE DNIPRO TORONTO BERLIN LONDON AMSTERDAM SOUTH KOREA SAN FRANCISCO GLIWICE FRANKFURT KYIV LVIV SALT LAKE CITY BOSTON CHERNIVTSI IVANO- FRANKIVSK NEW YORK SOFIA BARCELONA LOS ANGELES ATLANTA JAPAN AUSTIN

FORT MYERS

SINGAPORE

DEVELOPMENT CENTERS Ukraine

Poland AUSTRALIA Bulgaria USA

NEW ZEALAND FEATURED CUSTOMERS SOFTSERVE MICROSOFT PARTNERSHIP

MICROSOFT GOLD PARTNER GOLD COMPETENCIES ● Partner since 2004 ● Application Development ● Application Integration MICROSOFT PRACTICE ● Collaboration and Content ● 500+ Satisfied Customers ● Cloud Platform ● 1,000+ Delivered Projects ● Cloud Productivity ● 1,000+ Microsoft certifications ● 120+ Azure Certified Professionals ● Data Analytics ● 3 Microsoft MVPs ● Datacenter ● DevOps PROGRAM PARTICIPATION ● PIE / ECIF / Planning Services SILVER COMPETENCIES ● Messaging ● Windows and Devices SOFTSERVE CTO ORG CENTERS OF EXCELLENCE

RESEARCH & EXPERIENCE SOLUTIONS INTELLIGENT PLATFORMS CRITICAL INNOVATION DEVELOPMENT DESIGN ENTERPRISE SERVICES

• R&D Innovation • Design Thinking • Digital Strategy • Big Data • Salesforce • Cloud/DevOps • Innovation • Feasibility Study • Design Research • Business Analysis • Data Science, • Sitecore • Security & Strategy • R&D as a Service • Design Strategy • Product AI/ML, MLOps • MS Dynamics Governance • Innovation • Deep Tech Research • Product Design Management • IoT • AEM • Operations Platform • Advanced AI • Service Design • Architecture • Robotics • EPiServer Support • • Design Ops • Performance • Extended Reality • MuleSoft Application Support Testing (AR / VR / MR) • Magento • GDPR • Dell Boomi • Blockchain • Shopify • Technical Due • Drupal Diligence BIG DATA AND AZURE EXPERTISE

390+ 200+ 25+ 1 Big Data, AI, ML, BI, IoT Big Data Experts with Big Data Architects Data Platform Microsoft Experts Microsoft Background Valuable Professional (MVP) 200+ 30+ 120+ Data Scientists, Big Data Azure data projects Experts with Azure cloud certifications Architects, Data Engineers and Data Analysts

The balance between strategic planning and educational aspects will be defined prior to workshop because its solely depends on the readiness of your organization to the change. The ultimate goal of the workshop is to trade-off different migration scenarios and select the best approach based on rapid assessment of your current state and business objectives. Let’s concentrate on the most critical areas to achieve this goal in the short term.

During the workshop we will discover complexity of your existing system and migration scope, explain possible scenarios, select the best solution-candidate and define next steps: in-depth assessment and migration planning, proof of technology or MVP. AGENDA & DELIVERABLES

AGENDA DELIVERABLES

• A bespoke introduction to Azure Synapse • Assessment report – identified key drivers, constraints Analytics as an extensible unified data and risks platform • Solution vision • Migration scenarios overview • High-level scope for the subsequent PoT/MVP or in- • Define key business drivers, priorities, depth assessment and migration planning scope, identify risks • Benefits of migration to Synapse • Conduct an initial assessment (existing data eco-system, data sources and data flows, • Estimated budget for the next step data consumption scenarios, use cases)

• Trad-off analysis of migration scenarios, select solution candidate

• TCO – optimization, up to 30-55% with cloud-native Data Warehouse services

• Performance, scalability, elasticity – provide ample resources to be provisioned on a timely manner

• Accelerate time-to-market with simplified path to onboarding new technologies

• Leverage the power of cloud ML capabilities to enable data-driven decision making KEY DECISION DESIGN

INFRASTRUCTURE INFRASTRUCTURE INFRASTRUCTURE BIG PHASED PARALLEL REHOSTING REPLATFORMING RE-ARCHITECTURE BANG INTRODUCTION SYSTEMS (lift & shift) (lift & reshape)

TYPICAL SCENARIOS TARGET ARCHITECTURE AND TECHNOLOGIES SELECTION High Data Mining, OPTION A OPTION B OPTION C Data Marts Historical Aggregation PERFORMANCE HIGH MODERATE MODERATE

SECURITY MODERATE STRONG STRONG Durability SCALABILITY HIGH MODERATE LOW Operational Analytics Real-time Aggregation Low Low

Low Volumes High MIGRATION CHALLENGES

• Reverse engineering and re-architecture of existing Enterprise

Data Platform

• User experience continuity

• Integration with an existing ecosystem

• Re-implement security and compliance requirements

• Optimizing migration of complex workloads

• Accelerating overall migration timeline INFRASTRUCTURE INFRASTRUCTURE INFRASTRUCTURE

REHOSTING REPLATFORMING RE-ARCHITECTURE (lift & shift) (lift & reshape) Typical case: Typical case: Typical case: § Existing DWH is not sufficient to on- Infrastructure virtualization: Existing Data Warehouse satisfies board new business requirements (new migration from bare-metal to business requirements, however, there use cases, reports, analytics needs) Infrastructure-as-a-Service solutions in is a need to improve performance and § There is a movement to Cloud, but a Cloud, without any cloud scalability major technology does not cover all optimizations Advantages: § existing use cases Advantages: Accelerated time-to- Advantages: Immediate infrastructure cost market for migration § § Simplified path to onboarding new use optimization, up to 20% Immediate maintenance cost cases Migration scope & tactique: optimization, up to 20-30% § Flexible and cost-effective final solution § Data model: no changes § Improved scalability and elasticity, due to § Data processing logic: no changes ability to increase performance maximized cloud capabilities utilization § Upstream & downstream systems: instantly without refactoring § Redundancies in the current workload repoint to new system Migration scope & tactique: § can be removed § Data access model: no changes Data model: no changes or with Migration scope & tactique: Examples minimal adaptation § § Data model: no changes § Hadoop migration from bare-metal to Data processing logic: to the same or § Data processing logic: no changes HDInsight instances compatible technology § Upstream & downstream systems: § RDBMS migration from base-metal to § Upstream & downstream systems: repoint to new system virtual instances in a Cloud repoint to new DWH in the Cloud § § Data access model: no changes § Application migration to virtual Data access model: no changes or with minimal adaptation Examples instances § Examples EDWH migration to Synapse and data § Teradata migration to Synapse processing logic conversion to Synapse Spark pool jobs and Synapse pipelines