The document outlines 7 steps to build an Oracle big data strategy:
1. Develop a business strategy map to align IT initiatives with business goals
2. Align information technology strategies and resources to business needs
3. Identify necessary resources like data skills and analytics tools
4. Build an Oracle big data technology stack including the Oracle Big Data Appliance and Exadata
5. Develop an initial small-scale solution to evaluate the strategy
6. Evaluate results and make corrections to the strategy
7. Update the big data strategy based on lessons learned
This webinar provides a step-by-step approach to getting started with a Big Data solution and what to expect in the first 90 days including:10 Steps to Starting your Big Data Project, 5 critical mistakes and 2 success stories.
The document discusses the global and Indian express delivery markets. In India, the market is growing at 20% annually and is fueled by several sectors. The market is highly fragmented with over 2,500 players, with the organized sector accounting for 45% and the unorganized sector 30%. The major global players like DHL, FedEx, TNT and UPS have a presence in India and focus on different market segments. For TNT to gain market share in India, it needs to establish itself as a dependable delivery provider, promote its key features of safety, security and speed, and connect itself to India by highlighting its reach and delivery capabilities.
Carestream Health Global Product Development using Aras for Enterprise-wide PLMAras
David Sherburne presented on Carestream Health's global new product development transformation. Carestream is a global medical imaging company with 7,300 employees in over 150 countries. To meet business needs, Carestream needed to globalize and upgrade outdated legacy systems. The transformation required a leadership strategy, architectural awareness, integration of applications and data, and process improvements. Carestream selected the Aras Innovator platform to enable ubiquitous access and flexible configuration for global new product development.
The document summarizes a report on social enterprise in Pakistan and an event discussing the report. It provides an overview of the social enterprise landscape in Pakistan, opportunities for social enterprises, and insights from the report about how business schools can help unlock innovation. The event included panels on these topics with speakers from organizations supporting social entrepreneurship.
Carestream Health's Global Product Level Information Deployment with ArasAras
This presentation outlines Carestream Health's implementation of Product Level Information (PLI) using Aras Innovator. Carestream Health is a global leader in medical imaging, healthcare IT, dental imaging, and non-destructive testing with 7,300 employees in over 150 countries. They are implementing PLI to address challenges from globalization including inefficient collaboration and knowledge sharing across sites. The new system will provide integrated product information management to improve processes, compliance, and productivity during new product development.
Analysts predict China will soon surpass India to become the leader in IT outsourcing. Many Fortune 500 companies are attracted to the educated talent pool and competitive cost provided by Chinese service providers. Pactera is the largest China-based offshore IT services provider.
(1) L'Atelier is an independent consulting firm part of BNP Paribas Group with offices in Paris, Shanghai, and San Francisco.
(2) They provide strategic advisory, market studies, and digital strategy consulting to help clients succeed with their digital transformations.
(3) In 2011, they will offer an e-commerce insider report, learning expeditions to China, and advisory on entering the fast-growing Chinese e
PwC discusses how leading enterprises are responding to challenges from trends like social, mobile, analytics and cloud (SMAC) technologies. They are shifting to see information/digital content as the main driver of value, adopting digital operating models, and adjusting architectures to be more open through RESTful APIs. This allows them to better integrate with digital ecosystems. Case studies of companies like FedEx, Streetline and AT&T show how they are tapping new value sources by making more of their data accessible through APIs and digital platforms. PwC advocates that companies develop API strategies, productize their APIs, and create developer programs to optimize value from their digital assets and ecosystems.
This webinar provides a step-by-step approach to getting started with a Big Data solution and what to expect in the first 90 days including:10 Steps to Starting your Big Data Project, 5 critical mistakes and 2 success stories.
The document discusses the global and Indian express delivery markets. In India, the market is growing at 20% annually and is fueled by several sectors. The market is highly fragmented with over 2,500 players, with the organized sector accounting for 45% and the unorganized sector 30%. The major global players like DHL, FedEx, TNT and UPS have a presence in India and focus on different market segments. For TNT to gain market share in India, it needs to establish itself as a dependable delivery provider, promote its key features of safety, security and speed, and connect itself to India by highlighting its reach and delivery capabilities.
Carestream Health Global Product Development using Aras for Enterprise-wide PLMAras
David Sherburne presented on Carestream Health's global new product development transformation. Carestream is a global medical imaging company with 7,300 employees in over 150 countries. To meet business needs, Carestream needed to globalize and upgrade outdated legacy systems. The transformation required a leadership strategy, architectural awareness, integration of applications and data, and process improvements. Carestream selected the Aras Innovator platform to enable ubiquitous access and flexible configuration for global new product development.
The document summarizes a report on social enterprise in Pakistan and an event discussing the report. It provides an overview of the social enterprise landscape in Pakistan, opportunities for social enterprises, and insights from the report about how business schools can help unlock innovation. The event included panels on these topics with speakers from organizations supporting social entrepreneurship.
Carestream Health's Global Product Level Information Deployment with ArasAras
This presentation outlines Carestream Health's implementation of Product Level Information (PLI) using Aras Innovator. Carestream Health is a global leader in medical imaging, healthcare IT, dental imaging, and non-destructive testing with 7,300 employees in over 150 countries. They are implementing PLI to address challenges from globalization including inefficient collaboration and knowledge sharing across sites. The new system will provide integrated product information management to improve processes, compliance, and productivity during new product development.
Analysts predict China will soon surpass India to become the leader in IT outsourcing. Many Fortune 500 companies are attracted to the educated talent pool and competitive cost provided by Chinese service providers. Pactera is the largest China-based offshore IT services provider.
(1) L'Atelier is an independent consulting firm part of BNP Paribas Group with offices in Paris, Shanghai, and San Francisco.
(2) They provide strategic advisory, market studies, and digital strategy consulting to help clients succeed with their digital transformations.
(3) In 2011, they will offer an e-commerce insider report, learning expeditions to China, and advisory on entering the fast-growing Chinese e
PwC discusses how leading enterprises are responding to challenges from trends like social, mobile, analytics and cloud (SMAC) technologies. They are shifting to see information/digital content as the main driver of value, adopting digital operating models, and adjusting architectures to be more open through RESTful APIs. This allows them to better integrate with digital ecosystems. Case studies of companies like FedEx, Streetline and AT&T show how they are tapping new value sources by making more of their data accessible through APIs and digital platforms. PwC advocates that companies develop API strategies, productize their APIs, and create developer programs to optimize value from their digital assets and ecosystems.
Why change? Why Open Source? Why Red Hat? Why now?Eric D. Schabell
The document discusses how digital transformation is driving businesses to become more agile and innovative with technology. It notes that over 90% of CEOs are changing how they use technology to meet stakeholder expectations. Open source is presented as a key ingredient for businesses to optimize existing IT, integrate applications and data, add cloud infrastructure, and build more modern applications. Red Hat is described as making open source enterprise-ready through its support, tools, and services across infrastructure, middleware, management, and more. Customer stories show how Red Hat helps organizations in industries like financial services, telecom, government, and healthcare improve IT flexibility, efficiency and transform their businesses.
The annual review summarizes Logicalis' financial highlights and growing global presence in 2010. Sales were $841 million with EBITDA of $42 million. Net cash was up 87% to $76.4 million and annuity revenues grew 17% to $117.5 million. Logicalis expanded its global footprint through offices across Europe, North America, South America, Asia Pacific, and strategic acquisitions. It provides integrated solutions and services working with leading partners like Cisco, HP, IBM, and Microsoft.
This document provides an overview of a breakfast briefing on wireless broadband and maximizing current investments through new services. The briefing covered several topics:
1) Mobile WiMAX certification is being updated, with the first Wave 2 products certified at 2.5GHz. Over 100 Mobile WiMAX products are expected to be certified by the end of 2008.
2) Challenges for Mobile WiMAX adoption include MIMO antenna size/weight, intellectual property issues, delays in spectrum auctions, and short battery life of client devices.
3) Next steps discussed generating unique applications to drive adoption, using Mobile WiMAX for both fixed and mobile services, and improving the user experience to differentiate it from other wireless alternatives.
Building The Next Generation of Connected Smart ContractsArthur Micoulet
PALO IT is an international consultancy specialized in human-centered design, agile software development, and transforming forward-thinking companies. It has over 350 experts across various nationalities, with offices in several countries including France, Hong Kong, Singapore, Australia, Mexico, and Thailand. PALO IT provides end-to-end services including innovating new products and business models, building prototypes, and scaling organizations through technical capabilities and business agility. The company aims to harness technology for good and help leaders reinvent themselves in a changing future.
The annual review summarizes Logicalis' financial and operational highlights for 2010. Key points include:
- Sales increased 8% to $841.5 million and EBITDA rose 17% to $42 million.
- The company expanded its global presence through acquisitions and now has nearly 2,000 employees across four regions.
- Logicalis provides integrated solutions and services across communications, data centers, and professional/managed services working with vendors like Cisco, HP, IBM, and Microsoft.
As businesses strive to innovate while aiming to reduce risk, IT has become more critical to the success of the business than ever before. In this session, Nick Barcet, Senior Director of Product Management for OpenStack at Red Hat, explains the importance of an IT evolution to modernize data center infrastructure through a culture, process, and technology transformation. Learn what’s driving customer success around OpenStack and how Red Hat is collaborating within the community to provide businesses with the modernized infrastructure they need
ICA is a consulting firm that provides services related to foreign direct investment (FDI) including location selection and optimization. It has developed LocationSelector, a software tool with four modules that allows users to benchmark and analyze the competitiveness of over 200 countries and 350 cities based on over 400 factors. LocationSelector provides visualizations and rankings to help multinational companies and governments evaluate potential locations for investment projects.
ICA is a consulting firm that provides services related to foreign direct investment (FDI) including location selection and optimization. It has developed LocationSelector, a software tool with four modules that allows users to benchmark and analyze the competitiveness of over 200 countries and 350 cities based on over 400 factors. LocationSelector provides visualizations and rankings to help multinational companies and governments evaluate potential locations for investment projects and portsfolios.
Relationships at Scale discusses how businesses need to move beyond transactions and e-commerce to focus on digital relationships with consumers. Technologies like mobile, social media, and analytics now allow companies to learn more about consumers and customize every interaction. To truly capitalize on this opportunity, companies must shift their mindset from transactions to building relationships with consumers at scale through mass personalization across all channels. This will involve using insights from digital interactions to improve engagement and loyalty.
Accenture technology vision_2013_feb_18[1]Lars Kamp
Relationships at Scale discusses how businesses need to move beyond transactions and e-commerce to focus on digital relationships with consumers. Technologies like mobile, social media, and analytics now allow companies to learn more about consumers and customize every interaction. This enables mass personalization and managing relationships with consumers at a large scale. To truly transform, companies must shift their mindset from transactions to ongoing relationships and interactions through integrated digital channels.
This document discusses the trend of Relationships at Scale, where businesses are moving beyond simple transactions to develop digital relationships with consumers. While new technologies have increased connections, most companies still focus only on transactions and consumer attributes rather than developing true relationships. To succeed, companies must leverage big data analytics to gain insights into consumer needs and behaviors over time in order to deliver personalized, context-aware experiences across all digital touchpoints. This will allow businesses to develop one-to-one relationships at a massive scale and transform themselves into digital organizations.
Driving change, leading with the SAP®ecosystemaccenture
Five key technology trends will change the way business is done in the post-pandemic world: stacked strategically, mirrored world, I technologist, anywhere everywhere, and from me to we. SAP solutions like SAP Business Technology Platform, SAP S/4HANA, and SAP Analytics Cloud can help enterprises adapt to these trends and support greater flexibility, agility, and speed. Examples include using digital twins for supply chain visibility, empowering citizen developers, enabling virtualized work, and coordinating with partners through multiparty systems.
Five key technology trends will change the way business is done in the post-pandemic world: stacked strategically, mirrored world, I technologist, anywhere everywhere, and from me to we. SAP solutions like SAP Business Technology Platform, SAP S/4HANA, and SAP Analytics Cloud can help enterprises adapt to these trends and support greater flexibility, agility, and speed. Examples include using SAP BTP for a flexible multi-cloud architecture, gaining supply chain visibility with SAP Logistics Business Network, and empowering citizen developers with low-code tools like SAP Ruum and SAP AppGyver.
This document summarizes Accenture's Technology Vision for 2013, which is titled "Every Business is a Digital Business".
The first trend discussed is "Relationships at Scale", which argues that businesses need to move beyond online transactions and marketing to develop digital relationships with consumers. While new technologies have increased digital connections, most companies only use this for more detailed consumer data and transactions. To truly transform, companies need to integrate digital relationships into all aspects of their operations and strategies.
The document discusses cloud adoption maturity stages from reactive development to business value. It presents Enfo's cloud assessment model and provides recommendations for organizations to achieve the next level of cloud maturity. This includes developing cloud governance, transforming organizational structure and IT operations, and prioritizing architecture and partner management to drive business scalability through cloud.
I have earned several achievements and badges from SAP related to implementing SAP HANA, developing applications on SAP Cloud Platform, using design-led processes to solve business challenges, and modeling programs in Java. These achievements demonstrate my skills in scaling SAP HANA systems, developing on an enterprise platform-as-a-service, identifying solutions through human-centered design, and applying object-oriented programming principles.
This document discusses how new SAP solutions and technologies can help businesses become intelligent enterprises. It outlines 5 key technology trends - Citizen AI, Extended Reality, Data Veracity, Frictionless Business, and Internet of Thinking - and provides examples of how Accenture is developing applications using SAP technologies like SAP Leonardo, SAP Cloud Platform, and SAP HANA to help clients leverage these trends and transform their businesses. The goal is to infuse intelligence everywhere by applying new SAP solutions to power real-time systems, improve customer experiences, and unleash the potential of new technologies like AI, analytics, IoT, and more.
TYNAX operates a global online platform that connects buyers and sellers of patents and technologies. It helps buyers find IP assets to purchase or license, and helps sellers find licensing or acquisition prospects. The platform allows participants around the world to connect and transact business, overcoming previous geographical and industry barriers. TYNAX reaches customers through listings on its exchange, partner websites, newsfeeds, and alerts to those tracking relevant topics. It facilitates the patent sale and technology transfer process through managing communications between buyers and sellers.
How to Achieve Measurable Benefits Through Project and Organizational ChangePactera_US
The document discusses how to achieve measurable benefits through organizational change projects. It provides an agenda that will validate the importance of achieving project objectives and benefits, discuss how to make benefits more tangible, consider people-side benefits, and discuss the role of change management in achieving benefits. The document then provides two examples of how a consulting firm helped clients achieve benefits through implementing change management strategies during large IT project implementations.
Unlock Big Data's Potential in Financial Services with Hortonworks Pactera_US
Pactera and Hortonworks introduce their partnership and Hortonworks' approach to enterprise Hadoop. They discuss how financial institutions can use big data and a polyglot approach to gain insights from various data types for applications like fraud detection, gaining a 360 degree view of customers, and risk analysis. Specific use cases discussed include using big data for insurance underwriting, website optimization, and getting a holistic view of customer interactions. Pactera then outlines its big data capabilities and how it can help clients through workshops, proofs of concept, and implementation.
Why change? Why Open Source? Why Red Hat? Why now?Eric D. Schabell
The document discusses how digital transformation is driving businesses to become more agile and innovative with technology. It notes that over 90% of CEOs are changing how they use technology to meet stakeholder expectations. Open source is presented as a key ingredient for businesses to optimize existing IT, integrate applications and data, add cloud infrastructure, and build more modern applications. Red Hat is described as making open source enterprise-ready through its support, tools, and services across infrastructure, middleware, management, and more. Customer stories show how Red Hat helps organizations in industries like financial services, telecom, government, and healthcare improve IT flexibility, efficiency and transform their businesses.
The annual review summarizes Logicalis' financial highlights and growing global presence in 2010. Sales were $841 million with EBITDA of $42 million. Net cash was up 87% to $76.4 million and annuity revenues grew 17% to $117.5 million. Logicalis expanded its global footprint through offices across Europe, North America, South America, Asia Pacific, and strategic acquisitions. It provides integrated solutions and services working with leading partners like Cisco, HP, IBM, and Microsoft.
This document provides an overview of a breakfast briefing on wireless broadband and maximizing current investments through new services. The briefing covered several topics:
1) Mobile WiMAX certification is being updated, with the first Wave 2 products certified at 2.5GHz. Over 100 Mobile WiMAX products are expected to be certified by the end of 2008.
2) Challenges for Mobile WiMAX adoption include MIMO antenna size/weight, intellectual property issues, delays in spectrum auctions, and short battery life of client devices.
3) Next steps discussed generating unique applications to drive adoption, using Mobile WiMAX for both fixed and mobile services, and improving the user experience to differentiate it from other wireless alternatives.
Building The Next Generation of Connected Smart ContractsArthur Micoulet
PALO IT is an international consultancy specialized in human-centered design, agile software development, and transforming forward-thinking companies. It has over 350 experts across various nationalities, with offices in several countries including France, Hong Kong, Singapore, Australia, Mexico, and Thailand. PALO IT provides end-to-end services including innovating new products and business models, building prototypes, and scaling organizations through technical capabilities and business agility. The company aims to harness technology for good and help leaders reinvent themselves in a changing future.
The annual review summarizes Logicalis' financial and operational highlights for 2010. Key points include:
- Sales increased 8% to $841.5 million and EBITDA rose 17% to $42 million.
- The company expanded its global presence through acquisitions and now has nearly 2,000 employees across four regions.
- Logicalis provides integrated solutions and services across communications, data centers, and professional/managed services working with vendors like Cisco, HP, IBM, and Microsoft.
As businesses strive to innovate while aiming to reduce risk, IT has become more critical to the success of the business than ever before. In this session, Nick Barcet, Senior Director of Product Management for OpenStack at Red Hat, explains the importance of an IT evolution to modernize data center infrastructure through a culture, process, and technology transformation. Learn what’s driving customer success around OpenStack and how Red Hat is collaborating within the community to provide businesses with the modernized infrastructure they need
ICA is a consulting firm that provides services related to foreign direct investment (FDI) including location selection and optimization. It has developed LocationSelector, a software tool with four modules that allows users to benchmark and analyze the competitiveness of over 200 countries and 350 cities based on over 400 factors. LocationSelector provides visualizations and rankings to help multinational companies and governments evaluate potential locations for investment projects.
ICA is a consulting firm that provides services related to foreign direct investment (FDI) including location selection and optimization. It has developed LocationSelector, a software tool with four modules that allows users to benchmark and analyze the competitiveness of over 200 countries and 350 cities based on over 400 factors. LocationSelector provides visualizations and rankings to help multinational companies and governments evaluate potential locations for investment projects and portsfolios.
Relationships at Scale discusses how businesses need to move beyond transactions and e-commerce to focus on digital relationships with consumers. Technologies like mobile, social media, and analytics now allow companies to learn more about consumers and customize every interaction. To truly capitalize on this opportunity, companies must shift their mindset from transactions to building relationships with consumers at scale through mass personalization across all channels. This will involve using insights from digital interactions to improve engagement and loyalty.
Accenture technology vision_2013_feb_18[1]Lars Kamp
Relationships at Scale discusses how businesses need to move beyond transactions and e-commerce to focus on digital relationships with consumers. Technologies like mobile, social media, and analytics now allow companies to learn more about consumers and customize every interaction. This enables mass personalization and managing relationships with consumers at a large scale. To truly transform, companies must shift their mindset from transactions to ongoing relationships and interactions through integrated digital channels.
This document discusses the trend of Relationships at Scale, where businesses are moving beyond simple transactions to develop digital relationships with consumers. While new technologies have increased connections, most companies still focus only on transactions and consumer attributes rather than developing true relationships. To succeed, companies must leverage big data analytics to gain insights into consumer needs and behaviors over time in order to deliver personalized, context-aware experiences across all digital touchpoints. This will allow businesses to develop one-to-one relationships at a massive scale and transform themselves into digital organizations.
Driving change, leading with the SAP®ecosystemaccenture
Five key technology trends will change the way business is done in the post-pandemic world: stacked strategically, mirrored world, I technologist, anywhere everywhere, and from me to we. SAP solutions like SAP Business Technology Platform, SAP S/4HANA, and SAP Analytics Cloud can help enterprises adapt to these trends and support greater flexibility, agility, and speed. Examples include using digital twins for supply chain visibility, empowering citizen developers, enabling virtualized work, and coordinating with partners through multiparty systems.
Five key technology trends will change the way business is done in the post-pandemic world: stacked strategically, mirrored world, I technologist, anywhere everywhere, and from me to we. SAP solutions like SAP Business Technology Platform, SAP S/4HANA, and SAP Analytics Cloud can help enterprises adapt to these trends and support greater flexibility, agility, and speed. Examples include using SAP BTP for a flexible multi-cloud architecture, gaining supply chain visibility with SAP Logistics Business Network, and empowering citizen developers with low-code tools like SAP Ruum and SAP AppGyver.
This document summarizes Accenture's Technology Vision for 2013, which is titled "Every Business is a Digital Business".
The first trend discussed is "Relationships at Scale", which argues that businesses need to move beyond online transactions and marketing to develop digital relationships with consumers. While new technologies have increased digital connections, most companies only use this for more detailed consumer data and transactions. To truly transform, companies need to integrate digital relationships into all aspects of their operations and strategies.
The document discusses cloud adoption maturity stages from reactive development to business value. It presents Enfo's cloud assessment model and provides recommendations for organizations to achieve the next level of cloud maturity. This includes developing cloud governance, transforming organizational structure and IT operations, and prioritizing architecture and partner management to drive business scalability through cloud.
I have earned several achievements and badges from SAP related to implementing SAP HANA, developing applications on SAP Cloud Platform, using design-led processes to solve business challenges, and modeling programs in Java. These achievements demonstrate my skills in scaling SAP HANA systems, developing on an enterprise platform-as-a-service, identifying solutions through human-centered design, and applying object-oriented programming principles.
This document discusses how new SAP solutions and technologies can help businesses become intelligent enterprises. It outlines 5 key technology trends - Citizen AI, Extended Reality, Data Veracity, Frictionless Business, and Internet of Thinking - and provides examples of how Accenture is developing applications using SAP technologies like SAP Leonardo, SAP Cloud Platform, and SAP HANA to help clients leverage these trends and transform their businesses. The goal is to infuse intelligence everywhere by applying new SAP solutions to power real-time systems, improve customer experiences, and unleash the potential of new technologies like AI, analytics, IoT, and more.
TYNAX operates a global online platform that connects buyers and sellers of patents and technologies. It helps buyers find IP assets to purchase or license, and helps sellers find licensing or acquisition prospects. The platform allows participants around the world to connect and transact business, overcoming previous geographical and industry barriers. TYNAX reaches customers through listings on its exchange, partner websites, newsfeeds, and alerts to those tracking relevant topics. It facilitates the patent sale and technology transfer process through managing communications between buyers and sellers.
How to Achieve Measurable Benefits Through Project and Organizational ChangePactera_US
The document discusses how to achieve measurable benefits through organizational change projects. It provides an agenda that will validate the importance of achieving project objectives and benefits, discuss how to make benefits more tangible, consider people-side benefits, and discuss the role of change management in achieving benefits. The document then provides two examples of how a consulting firm helped clients achieve benefits through implementing change management strategies during large IT project implementations.
Unlock Big Data's Potential in Financial Services with Hortonworks Pactera_US
Pactera and Hortonworks introduce their partnership and Hortonworks' approach to enterprise Hadoop. They discuss how financial institutions can use big data and a polyglot approach to gain insights from various data types for applications like fraud detection, gaining a 360 degree view of customers, and risk analysis. Specific use cases discussed include using big data for insurance underwriting, website optimization, and getting a holistic view of customer interactions. Pactera then outlines its big data capabilities and how it can help clients through workshops, proofs of concept, and implementation.
Using Visualization to Succeed with Big Data Pactera_US
The document summarizes a webinar on big data visualization. It discusses drivers for the big data visualization market and new tools emerging. It then profiles several major vendors that offer big data visualization solutions, including Microsoft, QlikView, TIBCO, Tableau, Platfora, Datameer, Splunk, Jaspersoft, and Alpine Data. It concludes with an overview of how Pactera can help clients build advanced analytics solutions.
Transform Your Business with Big Data and Hortonworks Pactera_US
Customer insight and marketplace predictions are a few of the profitable benefits found in big data technology. Leading companies are using the advanced analytics solution to find new revenue streams, increase customer satisfaction and optimize the supply chain.
Predicting Customer Behavior With Big Data Pactera_US
Pactera is a global consulting firm focused on driving innovation through big data, analytics, mobility and cloud solutions. They have over 24,000 employees in 35 offices globally. The presentation discusses how retailers can utilize big data to better understand customer behavior and provide more personalized experiences. It also outlines Pactera's predictive analytics services and how they can help clients develop successful predictive strategies and data-driven solutions.
1. Big data has the potential to significantly increase operating margins and productivity for retailers.
2. Retailers are investing in big data to improve merchandising, marketing, e-commerce, supply chain operations, and store operations.
3. Getting started with big data requires determining current maturity, identifying high-value use cases, assessing data and analytics capabilities, establishing data management processes, and anticipating business changes.
Many companies are looking to move their CRM application from an on-premise to an on-demand environment. This webinar discusses the benefits and best practices of migrating from Siebel to Salesforce.com.
Business Process Management - Enabling The Business DriversPactera_US
A challenge for many executives is finding out exactly why the business is not aligned to, or achieving the intended vision and strategies. Culture, resource limitations and broken processes are among the reasons. Business Process Management initiatives give executives a transparent and objective view into business drivers and prioritize them to ensure time and money is being spent on the most valuable efforts. This Power Point demonstrates how meaningful change is possible through objective perspectives.
How do you monitor your Basel III compliance? Pactera_US
This document discusses Basel III compliance and operational risk measurement and reporting requirements for banks. It summarizes the key principles for effective risk data aggregation and reporting established by the Basel Committee on Banking Supervision. These include governance, data accuracy and integrity, completeness, timeliness, and adaptability of risk reporting. The document also provides examples of operational risk activity and business reporting, highlighting the largest losses come from retail banking and external fraud. It concludes with best practices for a pragmatic approach to risk detection and transparent, understandable reporting to improve risk management.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Building RAG with self-deployed Milvus vector database and Snowpark Container...Zilliz
This talk will give hands-on advice on building RAG applications with an open-source Milvus database deployed as a docker container. We will also introduce the integration of Milvus with Snowpark Container Services.
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentations
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
Kurt Lueckhas over 20 years of experience within the Business Intelligence and Analytics field. During his consulting career he has worked with over 40 different organizations in multiple industries on a variety of technologies. In his current role, Mr. Lueck manages the BI & Analytics practice for Pactera.
Good Afternoon and Good Morning on the west Coast.I appreciate everyone’s attendance and sincerely hope that you gather some very valuable information and insights from our presentation today. This is a very exciting topic.As promised, we have our 10 steps, 5 critical mistakes, and 2 success stories but I also wanted to start with some quick definitions, drivers, and key predictions .This presentation was built as a primer and we will be having several follow-up presentations in the coming weeks and months that dive deeper into industry (Financial services and Retail for example) and particular vendor solutions (for example: What is Oracle’s Big Data Solution).Lets get started.
Ok, I feel obligated to start with the 4 V’s. The definition of Big Data has been a work in progress over the past few years. The established definition at this point always has the 3V’s somewhere in the mix. Most recently I have seen another V mentioned but first the traditional 3 V’s.Volume – This is probably the most mentioned. The shear volume of data has been the biggest driver. Velocity – As the saying goes Speed Kills. Social Media put the bullet in most traditional attempts for retail organizations. Other industries such as our Energy client are getting overwhelmed by Smart Grid initiatives. Each industry has their own issues from some new technology.Variety – If it was just traditional data then there probably would not be a neccesity for any of this discussion. However, the fact is we have all different type of data that are simply not handled correctly in the traditional Oracle/DB2/SQL databases. Sure they can store them but they cannot do anything with them very efficiently.What is the fourth V? Value
There is a general consensus that there are 3 drivers of Big Data. The first is something called Dark Data – This is the data that we stored because we had to or wanted to store the data but never used. The thought was we better store it and at some point we might get some value out of it. We never did. This data volume has increased and increased.
I am always doing research and thought these Predictions seem very relevant to our presentation today. These are straight from GartnerI won’t read all of these predictions but the bottom line is the BIG Data IS in a hype cycle….but it IS here to stay. I was recently at the TDWI Conference on BIG DATA and the group was reminded that there have been a number of terms and products that in the beginning were USED in front of every product…. WEB-ENABLED. This is the assumption today. BIG DATA is here to stay for a number of reasons.Enterprise clients MUST engage BIG DATA as a competitive advantage today and later as an equalizer.The last point that I want to drive home is the amount of jobs that will go unfullfilled in the big data arena. If you have any college age kids this is where you should push them. However, I believe it takes a very science oriented mind to really engage this profession.
Most It departments are simply feeling overwhelmed with the amount of data and the amount of pressure from the business to combine data to provide business insight. This can be an incredibly exciting opportunity for IT and business to work together.IF you can gain an understanding of What a Big Data solutions look like then and only then will you be able to determine how Big data can actually help.The chart on this page show IN general which areas are most positively impacted by Big data. Financial Services as usual is right up front on the overall volume of data, velocity of data. Media Services however has a highvariety of data.As an interesting side note, Pactera has worked with Microsoft to develop solutions that will read in videos and decipher them into textual …hence searchable output. This is just one of many example where EVERYTHING is becoming searchable. Pictures, Videos, blogs, and the traditional data Action Item: Look around your enterprise, and identify scenarios where combining and analyzingdiverse datasets will generate substantial business value.
Most It departments are simply feeling overwhelmed with the amount of data and the amount of pressure from the business to combine data to provide business insight. This can be an incredibly exciting opportunity for IT and business to work together.IF you can gain an understanding of What a Big Data solutions look like then and only then will you be able to determine how Big data can actually help.The chart on this page show IN general which areas are most positively impacted by Big data. Financial Services as usual is right up front on the overall volume of data, velocity of data. Media Services however has a highvariety of data.As an interesting side note, Pactera has worked with Microsoft to develop solutions that will read in videos and decipher them into textual …hence searchable output. This is just one of many example where EVERYTHING is becoming searchable. Pictures, Videos, blogs, and the traditional data Action Item: Look around your enterprise, and identify scenarios where combining and analyzingdiverse datasets will generate substantial business value.
The main items that I am worried about for companies is this role called a data scientist. I believe most organizations simply do not have any or enough.What are the key roles of a data scientist?To make a big data project or any analytics project succeed, you actually need a lot of skills. I think of it as a combination of functional skills and technical skills … Most people when they think of data scientists, they think of the technical side. And their minds immediately go to analytics, which is important, but it’s not the whole part of the story. To me it’s 2 Sides:Analytics & DesignSo on the analytics, it’s the things around statistics, operations research, computer science, machine learning in particular is important for data science … But then there’s technology in the sense of being able to understand systems, particularly large systems, because you need to store data all over the place in distributed form, and the ability to program -- to write code that acts as a glue to put all these pieces together. The second functional area is around Design:There’s also the design side of things, which is basically being able to create an interface to the data so people will find it usable, and there's the data side, which is data manipulation, data modeling, data cleansing. So if I got the numbers right, there should be kind of two functional skill sets and four technical skill sets. And all of those need to be combined to make a good data science project work. This is a LOT to ask of ONE person. I believe this set of skills comes from teams of individuals who work on projects together and use each others strengths.
Stage 1 -- Initial At this stage, organizations have sporadic, inconsistent and uncoordinated activities of information management. The main characteristics are: The organization makes decisions based inaccurate and incomplete information aggregated by various departments/LOBs through inconsistent processes. Information is fragmented and inconsistent across many different applications and data stores under different LOBs. Business and IT organizations view information as by product of applications, and usually handled on a project-by-project and department-by-department basis. There is no concept of information ownership and stewardship regarding governance, security or accountability of key information assets. Stage 2 – Manage At this stage, organizations perceive the enterprise information management as necessary to be more effective and efficient for multiple business processes across LOBs. They are taking actions to improve information management but mostly focus on immediate needs, reactively and inconsistently. The main characteristics are: Stage 3 – Advance At this stage, organizations identify information-driven as critical activities for business growth and cost reductions. Therefore, organizations formally establish enterprise information management with support by executive management and actively build these capabilities. The main characteristics are: Stage 4 – Optimize At this stage, organizations complete significant portions of Information Architecture Domain components. The enterprise information becomes pervasive, and part of foundation of business processes to drive profitability and organizational effectiveness. The main characteristics are: Stage 5 – Innovate At this stage, Organizations extend the boundary of entire information ecosystems to external sources and channels to provide innovations in organization growth and drive the market. Information Architecture becomes part of the culture of organizations. The main characteristics are:
Oracle offers a broad portfolio of products to help enterprises acquire, manage, and integrate big data with existing information, with the goal of achieving a complete view of business in the fastest, most reliable, and cost effective way.The Oracle Big Data Appliance is an engineered system of hardware and software designed to help enterprises derive maximum value from their big data strategies. It combines optimized hardware with a comprehensive software stack featuring specialized solutions developed by Oracle to deliver a complete, easy-to-deploy offering for acquiring, organizing and analyzing big data, with enterprise-class performance, availability, supportability, and security. The Oracle Big Data Appliance incorporates Cloudera’s Distribution, including Apache Hadoop with Cloudera Manager, plus an open source distribution of R, all running on Oracle Linux. The Oracle Big Data Appliance comes in a full rack configuration of 18 Oracle Sun servers and scales by connecting multiple racks together via an InfiniBand network, enabling it to acquire, organize, and analyze extreme data volumes. The Oracle Big Data Appliance offers the following benefits:8 Rapid provisioning of a highly-available and scalable system for managing massive amounts of data8 A high-performance platform for acquiring, organizing, and analyzing big data in Hadoop and using R on raw-data sources8 Control of IT costs by pre-integrating all hardware and software components into a single big data solution that complements enterprise data warehousesOracle Big Data Connectors is an optimized software suite to help enterprises integrate data stored in Hadoop or Oracle NoSQL Databases with Oracle Database 11g. It enables very fast data movements between these two environments using Oracle Loader for Hadoop and Oracle Direct Connector for Hadoop Distributed File System (HDFS), while Oracle Data Integrator Application Adapter for Hadoop and Oracle R Connector for Hadoop provide non-Hadoop experts with easier access to HDFS data and MapReduce functionality.
Oracle Big Data Appliance includes a combination of open source software and specialized software developed by Oracle to address enterprise big data requirements. The Oracle Big Data Appliance integrated software includes: Full distribution of Cloudera’s Distribution including Apache Hadoop (CDH) Cloudera Manager to administer all aspects of Cloudera CDH Open source distribution of the statistical package R for analysis of unfiltered data on Oracle Big Data Appliance Oracle NoSQL Database Community Edition3 And Oracle Enterprise Linux operating system and Oracle Java VM The Oracle Big Data Appliance incorporates Cloudera’s Distribution, including Apache Hadoop with Cloudera Manager, plus an open source distribution of R, all running on Oracle Linux. The Oracle Big Data Appliance comes in a full rack configuration of 18 Oracle Sun servers and scales by connecting multiple racks together via an InfiniBand network, enabling it to acquire, organize, and analyze extreme data volumes. The Oracle Big Data Appliance offers the following benefits:- Rapid provisioning of a highly-available and scalable system for managing massive amounts of dataA high-performance platform for acquiring, organizing, and analyzing big data in Hadoop and using R on raw-data sourcesControl of IT costs by pre-integrating all hardware and software components into a single big data solution that complements enterprise data warehousesIf you are looking for an ORACLE version of Big data literally in a box then this is it!
While Hadoop offers many advantages for organizations, Hadoop is not a wholesale replacement for the traditional relational system and other storage and analysis solutions. Rather, Hadoop is a strong complement to many existing systems. The combination of these technologies offers enterprises tremendous opportunities to maximize IT investments and expand business capabilities by aligning IT workloads to the strengths of each system.
The Oracle Big Data Appliance incorporates Cloudera’s Distribution, including Apache Hadoop with Cloudera Manager, plus an open source distribution of R, all running on Oracle Linux. The Oracle Big Data Appliance comes in a full rack configuration of 18 Oracle Sun servers and scales by connecting multiple racks together via an InfiniBand network, enabling it to acquire, organize, and analyze extreme data volumes. The Oracle Big Data Appliance offers the following benefits:8 Rapid provisioning of a highly-available and scalable system for managing massive amounts of data8 A high-performance platform for acquiring, organizing, and analyzing big data in Hadoop and using R on raw-data sources8 Control of IT costs by pre-integrating all hardware and software components into a single big data solution that complements enterprise data warehouses
Oracle Exalytics In-Memory Machine is purpose-built to deliver the fastest performance for business intelligence (BI) and planning applications. It is designed to provide real-time, speed-of-thought visual analysis, and enable new types of analytic applications so organizations can make decisions faster in the context of rapidly shifting business conditions, while broadening user adoption of BI though introduction of interactive visualization capabilities. Organizations can extend BI initiatives beyond reporting and dashboards to modeling, planning, forecasting, and predictive analytics. The Oracle Exalytics In-Memory Machine is the industry‟s first engineered in-memory analytics machine that delivers extreme performance for Business Intelligence and Enterprise Performance Management applications. The Oracle Exalytics In-Memory Machine hardware is a single server that is optimally configured for in-memory analytics for business intelligence workloads and includes powerful compute capacity, abundant memory, and fast networking options. The Oracle Exalytics In-Memory Machine features an optimized Oracle BI Foundation Suite (Oracle BI Foundation) and Oracle TimesTen In-Memory Database for Exalytics. Business Intelligence Foundation takes advantage of large memory, processors, concurrency, storage, networking, operating system, kernel, and system configuration of the Oracle Exalytics hardware. This optimization results in better query responsiveness, higher user scalability and markedly lower TCO compared to standalone software. The TimesTen In-Memory Database for Exalytics is an optimized in-memory analytic database, with features exclusively available on Oracle Exalytics platform. How does Exalytics and Exadata go together? InfiniBand: Two quad-data rate (QDR) 40 GB/s InfiniBand ports are available with each machine expressly for Oracle Exadata . When connected to Oracle Exadata, Oracle Exalytics becomes an integral part of the Oracle Exadata private InfiniBand network and has high-speed, low latency access to the database servers. When multiple Oracle Exalytics machines are clustered together, the InfiniBand fabric also serves as the high-speed cluster interconnect.
Alright this slide puts it all together.If you are an Oracle shop you have a lot of choices in designing and implementing your big data architecture. Please here me that the Oracle Big Data architecture should be aligned with your BI Strategy and ultimately your business.Big Data is not a standalone concept. Big Data should fit within your existing BI strategy.At the ground level you can start with
The point of this slide is begin to show the nuances and decisions that will have to be made when you design and purchase your Oracle Big Data strategy. At one extreme you can go completely open-source. On the other end, you can go completely Oracle Big Data.Here is a brief outline of Big Data capabilities and their primary technologies: Storage and Management Capability Hadoop Distributed File System (HDFS): An Apache open source distributed file system, http://hadoop.apache.org Expected to run on high-performance commodity hardware Known for highly scalable storage and automatic data replication across three nodes for fault tolerance Automatic data replication across three nodes eliminates need for backup Write once, read many times Cloudera Manager: Cloudera Manager is an end-to-end management application for Cloudera’s Distribution of Apache Hadoop, http://www.cloudera.com Cloudera Manager gives a cluster-wide, real-time view of nodes and services running; provides a single, central place to enact configuration changes across the cluster; and incorporates a full range of reporting and diagnostic tools to help optimize cluster performance and utilization. An Oracle White Paper in Enterprise Architecture—Information Architecture: An Architect’s Guide to Big Data 8 Database Capability Oracle NoSQL: (Click for more information) Dynamic and flexible schema design. High performance key value pair database. Key value pair is an alternative to a pre-defined schema. Used for non-predictive and dynamic data. Able to efficiently process data without a row and column structure. Major + Minor key paradigm allows multiple record reads in a single API call Highly scalable multi-node, multiple data center, fault tolerant, ACID operations Simple programming model, random index reads and writes Not Only SQL. Simple pattern queries and custom-developed solutions to access data such as Java APIs. Apache HBase: (Click for more information) Allows random, real time read/write access Strictly consistent reads and writes Automatic and configurable sharding of tables Automatic failover support between Region Servers Apache Cassandra: (Click for more information) Data model offers column indexes with the performance of log-structured updates, materialized views, and built-in caching Fault tolerance capability is designed for every node, replicating across multiple datacenters Can choose between synchronous or asynchronous replication for each update Apache Hive: (Click for more information) Tools to enable easy data extract/transform/load (ETL) from files stored either directly in Apache HDFS or in other data storage systems such as Apache HBase Uses a simple SQL-like query language called HiveQL Query execution via MapReduceAn Oracle White Paper in Enterprise Architecture—Information Architecture: An Architect’s Guide to Big Data 9 Processing Capability MapReduce: Defined by Google in 2004. (Click here for original paper) Break problem up into smaller sub-problems Able to distribute data workloads across thousands of nodes Can be exposed via SQL and in SQL-based BI tools Apache Hadoop: Leading MapReduce implementation Highly scalable parallel batch processing Highly customizable infrastructure Writes multiple copies across cluster for fault tolerance Data Integration Capability Oracle Big Data Connectors, Oracle Loader for Hadoop, Oracle Data Integrator: (Click here for Oracle Data Integration and Big Data) Exports MapReduce results to RDBMS, Hadoop, and other targets Connects Hadoop to relational databases for SQL processing Includes a graphical user interface integration designer that generates Hive scripts to move and transform MapReduce results Optimized processing with parallel data import/export Can be installed on Oracle Big Data Appliance or on a generic Hadoop cluster Statistical Analysis Capability Open Source Project R and Oracle R Enterprise: Programming language for statistical analysis (Click here for Project R) Introduced into Oracle Database as a SQL extension to perform high performance in-database statistical analysis (Click here for Oracle R Enterprise) Oracle R Enterprise allows reuse of pre-existing R scripts with no modification
This slide discussed the 5 Most Common mistakes that we are seeing within the marketplace.In no particular order:Lack of Expertise – I am actually not referring to the Hadoop or Java expertise that is required. If that was the case most projects never even get started. I am referring more to data scientist type of resources. There are projections from various “critical thinking” organizations such as Gartner who project a significant short-fall of data scientist. The truth is you may have to develop this internally. I would suggest you do that now. I also suggest looking at your universities and hiring graduates from Analytic programs.BIG Data projects without a problem. We are certainly in a hype cycle around Big Data. This is natural with any technology that can be a game changer. More than likely your company does have business problems that can be assisted with BIG Data solutions. The alignment between Savvy business users and technology enabled IT departments is still in the works. Lack of technology alignment – By this I am referring to the fact that it is very easy to begin purchasing point Big Data Solutions for one specific problem. Watch out. This same problem has been happenning for years with out HYPE cycles. Lets get a bit smarter on this CYCLE.This flows directly into my next CAUTION – Develop a longer-term roadmap. If you are going to start a BIG DATA project that means you will be purchase software and may be hiring resources. Before you start, it may be time for a short Big Data strategy. Understand what happens after the first project. I am absolutely in favor of starting with a POC and starting small. However, before large investments think through the 2yr plan. PACTERA’s Big Data Strategy is a quick engagement to review each major business group in an organization and look for detailed problems that may be solved by BIG DATA solutions. It’s a great engagement that has the outcome of a 1-2year plan for implementing BIG DATA>5) Lack of Critical Evaluation – I feel like this has been missing in most IT projects. At the end of the project, did we achieve the expected business goals. If the answer is no then lets figure out why and make improvements.
I now want to present two business cases from real-life projects. The first project is for one of the largest on-line travel organizations in the world. Lets call them Acme OnLine Travel (AOL).Pactera has had a relationship with AOL for over 6years. We built the datawarehouse. We understand the business very well and frankly we understand the weaknesses of the BI solution. The volumes of data were so high and the cost to maintain was growing.The data sources for this client were everything from traditional ERP systems, Click Stream Data to Social Media such as Facebook. It’s not hard to see why the volumes were high. Petabytes is the norm.Part of the main driver for this project was to Reduce cost per TB from which was running at ten thousand USD. So a few years ago we suggested to AOL that we think a BIG Data solution is most likely necessary if we want to continue to be competitive in this industry. It started with some POC’s and then moved into BUILDING ONTO the current BI system at first. We are now beginning to see the natural death of some portions of the traditional BI system. I say natural death because our business users are simply not using some of the old methods. The most interesting and hard-hitting is the Preditive analytic functions that are being built on top of the base hadoop file system.One of the most recent changes is our moving to near REAL-TIME with a newer BIG Data product called Impala. Our team has been working with Impala for the past year or so even before it was officially released. This addresses one of the CRITICAL issues with Big Data and that is the lack of real-time capabilities.
Lets talk about IMPALA for a moment. This graph show our own testing at this client with Petabytes of data. As you can see the performance is quite stark between Hive and Impala. If you know anything about traditional What is also interesting that I wanted to draw out is that DESPITE our success with BIG DATA at this client is that large number of people use HADOOP only to get data so that they can process in a traditional RDBMS. A lot of this is simply because people are more comfortable and end-user tools are more user-friendly on relational/traditional databases. Please keep in mind that when it says FASTER on that 3rd line it is referring to much smaller sets of data that we are placing into RDBMS.In conclusion, the solution provided FASTER , more intelligence insights and the cost is down toless than 2 thousand per TB in Hadoop from 10kUSD.
The final case study that I want to present is around Retail. The picture that you are seeing is the goal of most major Retailers. The goal to drive a marketing and eventual sale down so personalized that it felt like they knew the customer on a one on one basis. Oh and by the way, not to cross the “Creep Factor” line. That is the line where the customer feels violated. This was the case with our client. Our client had a mix of the following types of data:Store POSWeb ClickStreamSocial MediaFinancialA BUNCH of spreadsheetsCustomer Satisfaction dataCall Center DataJust as in the last case study the volume of data was growing and the cost to manage it was growing even faster.The project started with a POC and has now reached into several departments. Examples of business problems / projects include:Customer buying behaviourPrice Optimization – as in changing prices on the web based on behaviourAnd Space planningAll of these projects were accomplished with a Theory, a Model, and A lot of testing. Eventually when good models were built and TESTED significantly then the models were embedded into the clients operational systems. What I have walked away from with these projects and research is how much phycology is required to be successful.This particular client is actually using BIG DATA solutions combined with SAS and several other traditional BI tools.
The key components in this architecture: Oracle Big Data Appliance (or other Hadoop Solutions): o Powered by the full distribution of Cloudera’s Distribution including Apache Hadoop (CDH) to store logs, reviews, and other related big data Oracle Big Data Connectors: o Create optimized data sets for efficient loading and analysis in Oracle Database 11g and Oracle Enterprise R Oracle Database 11g: o External Table: A feature in Oracle database to present data stored in a file system in a table format and can be used in SQL queries transparently. Traditional SQL Tools: o Oracle SQL Developer: Development tool with graphic user-interface that allows users to access data stored in a relational database using SQL.
The third use case is to continue our discussion of the insurance company mentioned in the earlier section of this paper. In a nutshell, the insurance giant has a need to capture the large amount of sensor data that track their customers’ driving habits, store them in a cost effective manner, process this data to determine trends and identify patterns, and to integrate end results with existing transactional, master, and reference data they are already capturing. The large amount of sensor data needs to be transferred to and stored at the centralized environment that provides flexible data structure, fast processing, as well as scalability and parallelism. MapReduce functions are needed to process the low-density data to identify patterns and trending insights. The end results need to be integrated into the database management system with structured data.
BIG data is not the solution. The solution is some type of use of technology that enables business answers. The four bullets on here represent the 4 focus areas of our BI&Analytic practice in 2013. I believe BIG DATA is the foundation that many of these other solutions.
I love this story because it is so hard hitting ….especially if you have daughters like I do.Most of you have heard the story so I won’t go into all of the details. The basic gist goes something like this.Target started a predictive analytics project that was so successful and accurate that it actually predicted that a Fathers daughter was pregnant before the father knew. Google the story to find the full story if you have not heard it.I wanted to end on this because we all have a corporate responsibility to use our technology without crossing the privacy line with our customers.