Originally Published on Sep 23, 2014
IBM InfoSphere BigInsights, an enterprise-ready distribution of Hadoop, is designed to address the challenges of big data and modern IT by analyzing larger volumes of data more cost-effectively. Deployed on the cloud, it enables rapid deployment of clusters and real-time analytics.
FYI: The value of Hadoop and many more questions will be pondered at this year’s Strata/Hadoop World event in NYC (October 15-17, 2014) and certainly at IBM Insight (October 26-30, 2014).
IBM InfoSphere Data Replication for Big DataIBM Analytics
How do you balance the need for business agility against the real-time availability of essential big data insights – without impacting your mission critical systems? Review this slideshare and learn how InfoSphere Data Replication can help enable your big data environment.
Over the last decade, cloud computing has transformed the market for IT services. But the journey to cloud adoption has not been without its share of twists and turns. This report looks at lessons that can be derived from companies' experiences implementing cloud computing technology.
Better Total Value of Ownership (TVO) for Complex Analytic Workflows with the...ModusOptimum
Customers are looking for ways to streamline analytic decisioning, looking for quicker deployments, faster time to value, lower risks of failure and higher revenues/profits. The IBM & Hortonworks solution delivers on these customer needs.
https://event.on24.com/eventRegistration/EventLobbyServlet?target=reg20.jsp&eventid=1789452&sessionid=1&eventid=1789452&sessionid=1&mode=preview&key=E0F94DE1191C59223B6522A075023215
Accelerate Migration to the Cloud using Data Virtualization (APAC)Denodo
Watch full webinar here: https://bit.ly/2JuD9NC
Organizations are adopting cloud at a fast pace and migration of critical enterprise information resources could be a challenge when dealing with a complex and big data landscape. Building the right data services architecture can help alleviate the pain points, whereby data virtualization comes to the rescue by enabling the companies to gain maximum benefits from cloud initiatives in form of agility, cost savings, and more.
In this webinar, you'll learn:
- How Denodo Platform's multi-location architecture can simplify and accelerate cloud migration.
- Best practices of deploying the Denodo Platform in the cloud.
- Leverage Denodo's virtual data services layer to address and augment cloud solutions such as data warehouse modernization, data science, and data lakes in the cloud.
- Watch a demo showcasing data virtualization and analytics in the cloud.
IBM InfoSphere Data Replication for Big DataIBM Analytics
How do you balance the need for business agility against the real-time availability of essential big data insights – without impacting your mission critical systems? Review this slideshare and learn how InfoSphere Data Replication can help enable your big data environment.
Over the last decade, cloud computing has transformed the market for IT services. But the journey to cloud adoption has not been without its share of twists and turns. This report looks at lessons that can be derived from companies' experiences implementing cloud computing technology.
Better Total Value of Ownership (TVO) for Complex Analytic Workflows with the...ModusOptimum
Customers are looking for ways to streamline analytic decisioning, looking for quicker deployments, faster time to value, lower risks of failure and higher revenues/profits. The IBM & Hortonworks solution delivers on these customer needs.
https://event.on24.com/eventRegistration/EventLobbyServlet?target=reg20.jsp&eventid=1789452&sessionid=1&eventid=1789452&sessionid=1&mode=preview&key=E0F94DE1191C59223B6522A075023215
Accelerate Migration to the Cloud using Data Virtualization (APAC)Denodo
Watch full webinar here: https://bit.ly/2JuD9NC
Organizations are adopting cloud at a fast pace and migration of critical enterprise information resources could be a challenge when dealing with a complex and big data landscape. Building the right data services architecture can help alleviate the pain points, whereby data virtualization comes to the rescue by enabling the companies to gain maximum benefits from cloud initiatives in form of agility, cost savings, and more.
In this webinar, you'll learn:
- How Denodo Platform's multi-location architecture can simplify and accelerate cloud migration.
- Best practices of deploying the Denodo Platform in the cloud.
- Leverage Denodo's virtual data services layer to address and augment cloud solutions such as data warehouse modernization, data science, and data lakes in the cloud.
- Watch a demo showcasing data virtualization and analytics in the cloud.
Top 10 ways BigInsights BigIntegrate and BigQuality will improve your lifeIBM Analytics
BigInsights BigIntegrate and BigQuality offer a cost-effective opportunity to fully leverage the scale and promise of Hadoop. Here are 10 ways BigIntegrate and BigQuality are making it easier for organizations to harness the power of their entire data ecosystems. Learn more at ibm.co/datagovernance
Client approaches to successfully navigate through the big data stormIBM Analytics
Hadoop is not a platform for data integration: As a result, some organizations turn to hand coding for integration – or end up deploying solutions that aren’t fully scalable. Review this Slideshare to learn about IBM client best practices for Big Data Integration success.
TierPoint White Paper_When_Virtualization_Meets_Infrastructure_2015sllongo3
In a rapidly changing technology landscape, are your virtualized systems taking full advantage of the cloud? Read about how these solutions can be leveraged for production, development and disaster recovery.
2016 Sept 1st - IBM Consultants & System Integrators Interchange - Big Data -...Anand Haridass
An unprecedented increase in the use of digital devices is causing an explosion in the amount of data generated & captured by businesses. The need to extract economic value from all this "Big Data", that has the potential to transform businesses completely, is immense and drives a whole slew of new workloads. Organizations need to continuously align strategy, business processes and infrastructure investments to derive these insights. This session will talk to how solutions based on POWER deliver this in a cost-effective, open, scalable, high performing and reliable manner.
Stream Computing is an advanced analytic platform that allows user-developed applications to quickly ingest, analyze and correlate information as it arrives from thousands of real-time sources. The solution can handle very high data throughput rates, up to millions of events or messages per second.
Cloud and Software as a Service (SaaS) can make a huge impact on a business. Unfortunately, most start the evaluation of SaaS from an IT perspective and traditional data center advantages (i.e. on-premises costs, staffing and savings). While savings are important, cloud is about agility and speed. For these reasons, line-of-business (LOB) leaders have been more interested in SaaS solutions. Learn how Cognos Business Intelligence on Cloud and IBM dashdb make it simple to get started with collaboration, reporting and analytics.
The world of Machine Learning, Deep Learning and PowerAIDavid Spurway
Drawing on the materials for Power Up Live and delivered to our IBM Business Partner SCC on the 6th of June 2017. This presentation includes a journey from Big Data to AI, Machine Learning, my recent "Buyer's Journey" and demo of a system which identifies the breed of a dog, datasets about fashion, Machine Learning 101 (which was created by Chris Parsons), the MNIST dataset, classification and User Cases, why it is taking off now, the potential scale of opportunity available, PowerAI, who to talk to, brief explanation of the frameworks and IBM Lab Services offerings.
Dynamic Hyper-Converged Future Proof Your Data CenterDataCore Software
IT organizations are continuously striving to reduce the amount of time and effort to deploy new resources for the business. Data center and remote office infrastructures are often complex and rigid to deploy, causing operational delays. As a result, many IT organizations are looking at a hyper-converged infrastructure.
Read this whitepaper to discover that a hyper-converged approach is flexible and easy to deploy and offers:
• Lower CAPEX because of lower up-front prices for infrastructure
• Lower OPEX through reductions in operational expenses and personnel
• Faster time-to-value for new business needs
How the Cloud is Revolutionizing the Retail IndustryRaymark
In this exclusive guide, you will learn about:
The top 5 advantages of cloud for retailers
The economics of cloud computing
Frequently asked questions about the cloud
Postgres Vision 2018: The Changing Role of the DBA in the CloudEDB
Not that long ago, DBAs were the gateway to all things database related for enterprises. With the advent of the cloud, automation and DevOps, the DBAs role and responsibilities are rapidly evolving. In this presentation delivered at Postgres Vision 2018, Ken Rugg, Chief Product & Strategy Officer at EDB, explored the 10 most significant ways the role of the DBA has changed and what new, higher value skills a DBA will need be ready for epic change.
Top 10 ways BigInsights BigIntegrate and BigQuality will improve your lifeIBM Analytics
BigInsights BigIntegrate and BigQuality offer a cost-effective opportunity to fully leverage the scale and promise of Hadoop. Here are 10 ways BigIntegrate and BigQuality are making it easier for organizations to harness the power of their entire data ecosystems. Learn more at ibm.co/datagovernance
Client approaches to successfully navigate through the big data stormIBM Analytics
Hadoop is not a platform for data integration: As a result, some organizations turn to hand coding for integration – or end up deploying solutions that aren’t fully scalable. Review this Slideshare to learn about IBM client best practices for Big Data Integration success.
TierPoint White Paper_When_Virtualization_Meets_Infrastructure_2015sllongo3
In a rapidly changing technology landscape, are your virtualized systems taking full advantage of the cloud? Read about how these solutions can be leveraged for production, development and disaster recovery.
2016 Sept 1st - IBM Consultants & System Integrators Interchange - Big Data -...Anand Haridass
An unprecedented increase in the use of digital devices is causing an explosion in the amount of data generated & captured by businesses. The need to extract economic value from all this "Big Data", that has the potential to transform businesses completely, is immense and drives a whole slew of new workloads. Organizations need to continuously align strategy, business processes and infrastructure investments to derive these insights. This session will talk to how solutions based on POWER deliver this in a cost-effective, open, scalable, high performing and reliable manner.
Stream Computing is an advanced analytic platform that allows user-developed applications to quickly ingest, analyze and correlate information as it arrives from thousands of real-time sources. The solution can handle very high data throughput rates, up to millions of events or messages per second.
Cloud and Software as a Service (SaaS) can make a huge impact on a business. Unfortunately, most start the evaluation of SaaS from an IT perspective and traditional data center advantages (i.e. on-premises costs, staffing and savings). While savings are important, cloud is about agility and speed. For these reasons, line-of-business (LOB) leaders have been more interested in SaaS solutions. Learn how Cognos Business Intelligence on Cloud and IBM dashdb make it simple to get started with collaboration, reporting and analytics.
The world of Machine Learning, Deep Learning and PowerAIDavid Spurway
Drawing on the materials for Power Up Live and delivered to our IBM Business Partner SCC on the 6th of June 2017. This presentation includes a journey from Big Data to AI, Machine Learning, my recent "Buyer's Journey" and demo of a system which identifies the breed of a dog, datasets about fashion, Machine Learning 101 (which was created by Chris Parsons), the MNIST dataset, classification and User Cases, why it is taking off now, the potential scale of opportunity available, PowerAI, who to talk to, brief explanation of the frameworks and IBM Lab Services offerings.
Dynamic Hyper-Converged Future Proof Your Data CenterDataCore Software
IT organizations are continuously striving to reduce the amount of time and effort to deploy new resources for the business. Data center and remote office infrastructures are often complex and rigid to deploy, causing operational delays. As a result, many IT organizations are looking at a hyper-converged infrastructure.
Read this whitepaper to discover that a hyper-converged approach is flexible and easy to deploy and offers:
• Lower CAPEX because of lower up-front prices for infrastructure
• Lower OPEX through reductions in operational expenses and personnel
• Faster time-to-value for new business needs
How the Cloud is Revolutionizing the Retail IndustryRaymark
In this exclusive guide, you will learn about:
The top 5 advantages of cloud for retailers
The economics of cloud computing
Frequently asked questions about the cloud
Postgres Vision 2018: The Changing Role of the DBA in the CloudEDB
Not that long ago, DBAs were the gateway to all things database related for enterprises. With the advent of the cloud, automation and DevOps, the DBAs role and responsibilities are rapidly evolving. In this presentation delivered at Postgres Vision 2018, Ken Rugg, Chief Product & Strategy Officer at EDB, explored the 10 most significant ways the role of the DBA has changed and what new, higher value skills a DBA will need be ready for epic change.
Build Your Own PaaS, Just like Red Hat's OpenShift from LinuxCon 2013 New Orl...OpenShift Origin
Learn how to build your platform as a service just like RedHat's OpenShift PaaS - covers all the architecture & internals of OpenShift Origin OpenSource project, how to deploy it & configure it for bare metal, AWS, OpenStack, CloudStack or any IaaS, and the community that's collaborating on the project to deliver the next-generation of secure, scale-able PaaS visit: openshift.com for more information
presented at LinuxCon by Diane Mueller in the CloudOpen track
Hybrid Cloud Point of View - IBM Event, 2015Denny Muktar
My Slide for IBM Cloud Event on November 2015. The slide is talking about disruption, innovation, 4 guiding principles on hybrid cloud, and steps to cloud journey.
Link to IBM Cloud adoption Advisor is at the end of the slide.
Must watch video: Guy Kawasaki - TedX Talk.
The business analytics marketplace is experiencing a challenge as classic BI tools meet up with evolving big data technologies, in particular Hadoop. We explore how IBM works to meet this challenge, providing a big picture perspective of their big data offerings around Hadoop, its open data platform and BigInsights.
Make from your it department a competitive differentiator for your businessMarcos Quezada
IBM Systems, combining the strengths of IBM middleware and IBM hardware to create a resilient, modern enterprise infrastructure to make from your IT department a competitive differentiator for your business. Infrastructure Matters #ITMatters
With the rapid growth in data and move towards data commercialisation there are multiple aspects to focus on and prioritize the steps being taken across an enterprise. Enterprises face many challenges when it comes to truly becoming a data driven organization and realize the full potential of data. Some of those challenges include data availability, capacity to process, store and analyze this data, sharing the models and data artefacts across different teams etc. Most of these challenges could be handled through a platform which is Cloud based, scalable, and offers different capabilities for Governance, security, reusability and their likes. In this talk, I will talk about how IBM Cloud Pak serves as a framework for implementing your AI Strategy and how it could be used to build different artefacts while adhering to above listed requirements and being future ready. We will further illustrate how Cloud Pak for Data fastens and shortens the route to data commercialisation?
SendGrid Improves Email Delivery with Hybrid Data WarehousingAmazon Web Services
When you received your Uber ‘Tuesday Evening Ride Receipt’ or Spotify’s ‘This Week’s New Music’ email, did you think about how they got there?
SendGrid’s reliable email platform delivers each month over 20 Billion transactional and marketing emails on behalf of many of your favorite brands, including Uber, Airbnb, Spotify, Foursquare and NextDoor.
SendGrid was looking to evolve its data warehouse architecture in order to improve decision making and optimize customer experience. They needed a scalable and reliable architecture that would allow them to move nimbly and efficiently with a relatively small IT organization, while supporting the needs of both business and technical users at SendGrid.
SendGrid’s Director of Enterprise Data Operations will be joining architects from Amazon Web Services (AWS) and Informatica to discuss SendGrid’s journey to a hybrid cloud architecture and how a hybrid data warehousing solution is optimized to support SendGrid’s analytics initiative. Speakers will also review common technologies and use cases being deployed in hybrid cloud today, common data management challenges in hybrid cloud and best practices for addressing these challenges.
Join us to learn:
• How to evolve to a hybrid data warehouse with Amazon Redshift for scalability, agility and cost efficiency with minimal IT resources
• Hybrid cloud data management use cases
• Best practices for addressing hybrid cloud data management challenges
The emergence of social, mobile, cloud, big data and analytics are fundamentally changing how we live, work and interact.
Mobile devices are ubiquitous. Changing consumer behaviors, supplanting PCs, generating massive amounts of data and putting new demands on the enterprise to not only support these devices but to adjust the way they do business.
Social technologies are changing the way we interact, communicate and share information – equally generating vast amounts of data and impacting business as they try to unlock the full potential social has to offer.
Cloud technologies bring new scale and efficiency to service delivery and enable more agile ways of doing business and drive business model innovation. For companies, It also brings information and applications to people at the right time and place.
All of these trends are fueling an explosion of data. Not only do enterprises need to store, manage and secure this data, they also need to derive meaningful insight from these vast amounts of data. Data is the basis of significant opportunity and a source of competitive advantage for all organizations. Data is a new economic asset, the next natural resource.
These trends are spawning new workloads, business processes and technology deployments that are putting unprecedented demands on our IT environments.
Learn about IBM's Hadoop offering called BigInsights. We will look at the new features in version 4 (including a discussion on the Open Data Platform), review a couple of customer examples, talk about the overall offering and differentiators, and then provide a brief demonstration on how to get started quickly by creating a new cloud instance, uploading data, and generating a visualization using the built-in spreadsheet tooling called BigSheets.
The question of whether to transition enterprise applications to the cloud is a valid question in most organizations. Determining which applications should go and how to maintain control once they are there, however, is slowing down the journey to the cloud.
These slides - based on the webinar hosted by leading IT analyst firm Enterprise Management Associates (EMA) - cover how you can avoid the common mistakes and reduce risk in the transformation to cloud.
Building Confidence in Big Data - IBM Smarter Business 2013 IBM Sverige
Success with big data comes down to confidence. Without confidence in the underlying data, decision makers may not trust and act on analytic insight. You need confidence in your data – that it’s correct, trusted, and protected through automated integration, visual context, and agile governance. You need confidence in your ability to accelerate time to value, with fast deployments of big data appliances. Learn how clients have succeeded with big data by building confidence in their data, ability to deploy, and skills. Presenter: David Corrigan, Big Data specialist, IBM. Mer från dagen på http://bit.ly/sb13se
An introduction to IBM Data Lake by Mandy Chessell CBE FREng CEng FBCS, Distinguished Engineer & Master Inventor.
Learn more about IBM Data Lake: https://ibm.biz/Bdswi9
10 WealthTech podcasts every wealth advisor should listen toIBM Analytics
Listen to this “Finance in Focus” podcast series to hear a cast of interesting experts discuss how the wealth management industry is adapting to new and emerging technologies that include robo-advisors, blockchain, analytics, and cognitive. Over the course of 10 episodes, hosts Rob Stanich and Alex Baghdjian are joined by wealth management experts to discuss behavior financing, DOL fiduciary rule, social media marketing, account aggregation, millennials, surveillance, and regulations.
Advantages of an integrated governance, risk and compliance environmentIBM Analytics
Risk management is increasingly becoming a strategic, executive-sponsored solution that many organizations view as providing a competitive advantage. When companies have an aggregated view of all the different kinds of risk and compliance data, they can start to generate insights about how to run the business better. In this presentation, learn why and how to empower business leaders to make more risk-aware decisions with visibility across controls and associated issues and actions throughout the organization.
The banking industry will benefit from adopting the latest technology advancements that include artificial intelligence and cognitive computing. These technologies provide the opportunity to mine the massive amounts of transactional data that banks have collected over the past decades to better serve their customers, automate time-consuming mundane tasks and to integrate the act of banking into the lives of consumers.
Learn how: http://ibm.co/bankinganalytics
Sales performance management and C-level goalsIBM Analytics
Before diving into planning for sales compensation, get a fix on the company’s business goals and strategy. See why having a framework in place is critical when designing a sales strategy and compensation program.
Learn more: http://www.ibm.com/analytics/us/en/business/sales-performance-management/
The science of client insight: Increase revenue through improved engagementIBM Analytics
As they compete in the modern business environment, companies are increasingly looking to sophisticated analytics and cognitive capabilities to help them gain a deep understanding of what matters to their clients. By knowing their customers well, organizations can provide targeted, personalized service that adds value and heightens customer loyalty. When they do, they can avoid churn while generating additional revenue models by creating meaningful cross-selling opportunities in a customer-centric world. Explore this ebook to discover a wide array of uses for client insights in banking and wealth management.
Expert opinion on managing data breachesIBM Analytics
For the first time, cybersecurity strategy is an integral part of the platforms for the US presidential candidates. Today, data breaches and cyber attacks are no longer just one offs but seemingly happen daily and impact both the private sector and government. What are we doing to minimize these data breaches and counter cyber attacks? What’s the role of government in fighting cyber crime? Where does the public sector fit in the cyber-crime puzzle? Cybersecurity experts Dan Lohrmann, Scott Schober, Shahid Shah, Eric Vanderburg and Morgan Wright address these questions.
Top industry use cases for streaming analyticsIBM Analytics
Organizations need to get high value from streaming data to gain new clients and capitalize on market opportunities. Discover how IBM Streams is best suited for use cases that has the need for high speed and low latency.
The key to the cognitive business is putting data to work. What is needed is a platform, an ecosystem, and a method.
Learn more about http://ibm.co/dataworks
IBM CDO Fall Summit 2016 Keynote: Driving innovation in the cognitive eraIBM Analytics
What does it take to drive Innovation in the Cognitive Era? Bob Picciano, Senior Vice President IBM Analytics and Inderpal Bhandari, Global Chief Data Officer, IBM gave this presentation to the CDOs and data professionals in attendance at the IBM Chief Data Officer Strategy Summit in Fall of 2016.
Learn more about the role of CDO: http://ibm.co/2cXasXy
4 common headaches with sales compensation managementIBM Analytics
Gain insights and solutions to four highly common headaches that companies face in their sales performance management processes. Learn more: http://ibm.com/spm
IBM Virtual Finance Forum 2016: Top 10 reasons to attendIBM Analytics
Explore the top 10 reasons to attend IBM's Virtual Finance Forum 2016 for insights and best practices on performance management in the cognitive era. Attend your choice of three broadcasts of IBM's Virtual Finance Forum 2016: http://bit.ly/oct5am, http://bit.ly/Oct512Noon or http://bit.ly/oct5eve.
In the domain of data science, solving problems and answering questions through data analysis is standard practice. Data scientists experiment continuously by constructing models to predict outcomes or discover underlying patterns, with the goal of gaining new insights. Organizations can then use these insights to strengthen customer relationships, improve service delivery and drive new opportunities. To help guide the processes and activities within a given domain, data scientists and engineers need a foundational methodology that provides a framework for how to proceed with whichever methods or tools they will use to obtain answers and deliver results. In this presentation, we will share data science tips for data engineers.
Join the Data Science Experience: http://ibm.co/data-science
How secure is your enterprise from threats? IBM Analytics
Modern enterprises are vulnerable to a wide range of threats that can put customers, employees and even the organization’s brand at serious risk. Staying ahead of diverse threats as they evolve requires not only continuous monitoring and analysis of disparate data sets but also the fusing of the resulting insights into a single intelligence picture. This allows organizations to gain a comprehensive understanding of the diverse threats and vulnerabilities that can put the entire enterprise at risk.
Noting that defense and national security agencies have employed this ongoing analysis and fusion approach for years, commercial organizations and civilian government agencies have begun adopting similar processes when setting up security operations centers and fusion centers. Whether you have a fusion center or are simply seeking to understand and mitigate your threats, IBM i2 Enterprise Insight Analysis can help you develop a comprehensive approach to enterprise intelligence with which you can neutralize the threats that menace your enterprise.
Collaboration is crucial to today’s workforce. Whether you are in a traditional office setting, work from home or travel extensively, there are tools needed to achieve successful content collaboration.
Whether your mission is to improve external collaboration, increase scalability or focus on security and compliance, find out how content collaboration with Box can improve your ROI.
To find out more on how to improve your content journey, visit IBM ECM and Box: http://ibm.co/ibm-box-partnership
The digital transformation of the French OpenIBM Analytics
For decades, IBM and the Fédération Francaise de Tennis have been tennis partners, using real-time analytics as their winning serve to create a cross-platform fan experience. Learn about IBM’s game-changing site redesign for The French Open and platform innovations to enhance the tournament experience for both attendees and virtual fans.
Bridging to a hybrid cloud data services architectureIBM Analytics
Enterprises are increasingly evolving their data infrastructures into entire cloud-facing environments. Interfacing private and public cloud data assets is a hallmark of initiatives such as logical data warehouses, data lakes and online transactional data hubs. These projects may involve deploying two or more of the following cloud-based data platforms into a hybrid architecture: Apache Hadoop, data warehouses, graph databases, NoSQL databases, multiworkload SQL databases, open source databases, data refineries and predictive analytics.
Data application developers, data scientists and analytics professionals are driving their organizations’ efforts to bridge their data to the cloud. Several questions are of keen interest to those who are driving an organization’s evolution of its data and analytics initiatives into more holistic cloud-facing environments:
• What is a hybrid cloud data services architecture?
• What are the chief applications and benefits of a hybrid cloud data services architecture?
• What are the best practices for bridging a logical data warehouse to the cloud?
• What are the best practices for bridging advanced analytics and data lakes to the cloud?
• What are the best practices for bridging an enterprise database hub to the cloud?
• What are the first steps to take for bridging private data assets to the cloud?
• How can you measure ROI from bridging private data to public cloud data services?
• Which case studies illustrate the value of bridging private data to the cloud?
Sign up now for a free 3-month trial of IBM Analytics for Apache Spark and IBM Cloudant, IBM dashDB or IBM DB2 on Cloud.
http://ibm.co/ibm-cloudant-trial
http://ibm.co/ibm-dashdb-trial
http://ibm.co/ibm-db2-trial
http://ibm.co/ibm-spark-trial
What does data tell you about the customer journey?IBM Analytics
In this omnichannel world, consumers leave clues about their purchasing decisions at every touch point. What data analytics can you leverage to optimize your marketing message and merchandising? Well, it turns out, a lot.
What CEOs want from CDOs and how to deliver on itIBM Analytics
Cortnie Abercrombie, Emerging Roles Leader, IBM gave this presentation on what Chief Executive Officers want from Chief Data Officers and how to deliver on it at CDOvision 2016.
Learn more about the various roles of CDOs: http://ibm.co/cdolookbook
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
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.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
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Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
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This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
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Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Hadoop in the Cloud
1. IBM Software
Hadoop in the cloud
Leverage big data analytics easily and cost-effectively
with IBM InfoSphere BigInsights
2. Hadoop in the cloud
1 2 3 4 5Introduction Cloud and
analytics: The new
growth engine
for business
Enhancing
Hadoop in the
cloud with
InfoSphere
BigInsights
IBM Watson
Foundations:
Complete cloud
analytics
capabilities
Resources
3. Hadoop in the cloud
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1 Introduction 2 Cloud and analytics:
The new growth engine
for business
3 Enhancing Hadoop in the
cloud with InfoSphere
BigInsights
4 IBM Watson Foundations:
Complete cloud analytics
capabilities
5 Resources
Introduction
One of the hottest technologies in the big
data space is Apache Hadoop, an open
source software framework used to reliably
manage large volumes of data. Designed to
scale from a single server to thousands of
machines with a high degree of fault
tolerance, Hadoop enables organizations to
extract valuable insight from large volumes
of structured, unstructured and semi-
structured data.
The need for large upfront investments and
concerns about flexibility, coupled with
special challenges involved in evaluating the
technology and developing Hadoop skills,
often prevent organizations from adopting
and deploying Hadoop across the
enterprise. It also becomes impractical to
use Hadoop on an occasional basis for
high-impact projects that do not have a
need for continuous processing.
1 Introduction
4. Hadoop in the cloud
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1 Introduction 2 Cloud and analytics:
The new growth engine
for business
3 Enhancing Hadoop in the
cloud with InfoSphere
BigInsights
4 IBM Watson Foundations:
Complete cloud analytics
capabilities
5 Resources
There is good news, though—you can
overcome these capital requirements
barriers through cloud computing. The
cloud model of paying only for the
resources that you need—and only when
you need them—supports experimentation
and evaluation and is ideal for building
up skills. It is also a great solution for
short-term or occasional-use projects
where an investment in a dedicated cluster
is cost prohibitive.
1 Introduction
What’s so cool about cloud?
Cloud computing is gaining momentum for good reason. Some consider it for overall
IT cost savings. Others are drawn to the promise of reduced capital expense. Still
others are looking to solve pressing issues such as a chronic shortage of data center
space or overly long cycles for provisioning resources (see Figure 1).
Cloud computing is the delivery of on-demand computing resources—everything
from applications to data centers—over the Internet as a service. At its root, this
“as-a-service” concept is simple: users can focus on their business needs and not
have to worry about maintaining, improving and caring for a complex IT system.
Mutually beneficial for business and IT, the cloud delivers:
• Elastic resources for quickly scaling up or down to meet spikes and lulls in demand
• Multiple payment options, from pay-as-you-go to hourly or monthly licenses
• Self-service access to technology resources
5. Hadoop in the cloud
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1 Introduction 2 Cloud and analytics:
The new growth engine
for business
3 Enhancing Hadoop in the
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4 IBM Watson Foundations:
Complete cloud analytics
capabilities
5 Resources
We need more space in
the data center
We need to free up
highly skilled resources
We need to reduce
our CAPEX
We need to deliver
better resiliency
We need to integrate
web-based data
We need to improve
business agility
We need to support
remote teams
We need to reduce
IT costs
Figure 1: Drivers of cloud adoption
This e-book explores how you can use
IBM-enhanced Hadoop capabilities in
the cloud to cost-effectively deploy
deep analytics for all users in your
organization—opening up the benefits
of big data to everyone.
1 Introduction
6. Hadoop in the cloud
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1 Introduction 2 Cloud and analytics:
The new growth engine
for business
3 Enhancing Hadoop in the
cloud with InfoSphere
BigInsights
4 IBM Watson Foundations:
Complete cloud analytics
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5 Resources2 Cloud and analytics:
The new growth engine
for business
In the view of IBM, cloud is more than just a
way to manage costs or get services
faster—it is a critical path to business
growth. Cloud and big data analytics offer
the potential to place information, insights
and decision making at people’s fingertips,
at the right time and place.
Because cloud computing offers access to
unlimited computing power and easier ways
to process large amounts of data, it’s an ideal
deployment model for big data analytics.
IBM has combined cloud computing and
big data analytics in a wide range of
industries, resulting in benefits such as:
• The discovery of life-changing medicines
• More accurate prediction of weather patterns
Cloud and analytics:
The new growth engine for business
• Innovative energy-saving techniques
• Insight into security anomalies
• More efficient ways to use and conserve water
• Deeper insight into customer preferences
and trends
• Real-time feedback on marketing
campaigns
The shift toward cloud computing is also a
response to the realization that big data
and analytics must take a more central role
in today’s business world, becoming an
engine that helps drive the business
forward. Organizations need to
transition from passive, siloed
“systems of record” designed around
discrete pieces of information to
“systems of engagement,” which are
more decentralized, incorporate
technologies that encourage peer
interactions and often leverage cloud
technologies to enable those interactions.
The differences between the two systems—
and the ramifications of those differences—
are significant. For example, in order to
integrate systems and support enhanced
collaboration (a central tenet of systems of
engagement), a company needs to deploy
appropriate platform technologies. Formats
include Software as a Service (SaaS),
Platform as a Service (PaaS) or
Infrastructure as a Service (IaaS) offerings,
and can be deployed on the public cloud, a
private cloud or a hybrid model.
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The new growth engine
for business
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Complete cloud analytics
capabilities
5 Resources
Cloud computing enables you to overcome
the capital requirements of Hadoop. But
open source Hadoop lacks enterprise-grade
management technology and performance
and may require organizations to learn or
acquire new skills. Organizations can
overcome these barriers by using IBM®
InfoSphere® BigInsights™, an enterprise-
ready distribution of Hadoop. In addition to
the Hadoop technology, InfoSphere
BigInsights delivers unique value that is
designed to address the challenges of
modern enterprise IT:
• Extended Hadoop: InfoSphere BigInsights
is based on 100 percent open source
Hadoop. It extends Hadoop with enterprise-
grade technology including administration
3 Enhancing Hadoop in the
cloud with InfoSphere
BigInsights
Enhancing Hadoop in the cloud
with IBM InfoSphere BigInsights
and integration capabilities, visualization and
discovery tools as well as security, audit
history and performance management.
• Increased performance: An average
4 times performance gain over open
source Hadoop.1
• Usability: InfoSphere BigInsights is
optimized for a wide range of roles,
including integration developers,
administrators, data scientists, analysts
and line-of-business contacts.
• Integrated with IBM Watson™
Foundations big data platform:
InfoSphere BigInsights comes bundled with
search and streaming analytics capabilities.
• Analytics: Built-in Hadoop analytics
capabilities for machine data, social data,
text and Big R enable you to locate
actionable insights from data in the
Hadoop cluster rather than having to
move the data around.
This combination—open source Hadoop
and the value-add enterprise features from
IBM—can be deployed on the cloud. IBM
provides pre-built images and/or templates
for rapid deployment of Hadoop clusters in
the cloud, and multi-cloud templates for
InfoSphere BigInsights are also available
through RightScale. Deploying an
InfoSphere BigInsights cluster on the cloud
also frees users from sourcing (and paying
for) extra equipment and racks.
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capabilities
5 Resources3 Enhancing Hadoop in the
cloud with InfoSphere
BigInsights
The many roles of analytics
in the cloud
The IaaS and PaaS options will be used by
developers, but business leaders will see a
significant impact too. For example, clients
deploying InfoSphere BigInsights on the
cloud have reduced hardware and software
costs, avoided future expansion costs,
simplified development and management
processes, and realized dramatic
performance improvement. Check out the
table for more examples of how cloud
analytics are delivering real-world benefits.
Industry Cloud analytics use case Benefits
Retail Support growing data volumes and analyze
customer data in more efficient ways to
acquire deeper, more valuable insights.
Reduced costs and improved
marketing effectiveness.
Healthcare Analyze millions of patient records and
perform statistically guided decision support
to lower diagnostic errors and improve the
quality of care.
Improved outcomes and better
insights into treatment trends
and relationships
Energy and
utilities
Implement proactive resource optimization and
allocation, perform asset management and
maintenance optimization.
More efficient resource utilization
and potentially less downtime or
capacity shortfalls
Banking Identify customer patterns from log data to
improve customer insight and provide
better-targeted offers and services. Create
a one-stop shop for data discovery.
Increased up-sell and cross-sell
opportunities; more granular
customer demographic segmentation
9. Hadoop in the cloud
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1 Introduction 2 Cloud and analytics:
The new growth engine
for business
3 Enhancing Hadoop in the
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4 IBM Watson Foundations:
Complete cloud analytics
capabilities
5 Resources
InfoSphere Big Insights draws additional
strength from its lineage as part of the IBM
Watson Foundations big data portfolio.
IBM Watson Foundations delivers a full
range of capabilities to help you meet your
big data and analytics goals:
• Real-time analytics: Dynamically update
business rules and processes based on
what’s happening right now. Analyze data
in motion for real-time insights.
• Real-time application development:
Quickly ingest, analyze and correlate data
as it arrives from thousands of real-time
sources. Easily build applications with drag
operators, visual editors and performance
monitoring. Dynamically add new data
sources. Create, edit, visualize, test, debug
and run applications in the cloud.
• Analytic toolkits and accelerators:
Deploy deep analytics developed by IBM
Research, such as geospatial, time series,
R analysis, text analytics and much more.
4 IBM Watson Foundations:
Complete cloud analytics
capabilities
IBM Watson Foundations:
Complete cloud analytics capabilities
Performance, scalability and deep
analytics make IBM big data
solutions exceptional. They deliver:
• More volume: Handles up to 10 times
more records per second on the same
hardware compared to other open
source and complex event processing
(CEP) vendors2
• More data variety: Analytics and
powerful modeling on any and all
data types
• More velocity: One-tenth to one-
thousandth the latency compared to
other open source and CEP vendors3
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IBM Watson Foundations also contributes
key big data and analytics capabilities
optimized for the cloud (see Figure 2).
Cloud-ready
technology
IBM Watson
Foundations
Cloud-ready
pricing
Risk-free
deployment
path
Cloud-open
• Virtualization
• Manage applications
in the cloud
• Bring your own
application license
• Pay as you go
• Quick-to-start
solutions
• Established developer
communities
• Centers of competencies
for expert help
• Solutions ready for
any cloud model—
private, public
or hybrid
Figure 2. Cloud capabilities provided by the IBM Watson Foundations big data platform.
4 IBM Watson Foundations:
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5 Resources4 IBM Watson Foundations:
Complete cloud analytics
capabilities
A portfolio of solutions
that work together
As part of IBM Watson Foundations,
InfoSphere BigInsights works together
with other IBM big data solutions such
as InfoSphere Streams to deliver
exceptional results.
For example, Wimbledon Championships
served up an ace performance using
InfoSphere Streams and InfoSphere
BigInsights, breaking new ground with
433 million page views serving up a total
of 155 TB of data—equivalent to over
35 years’ worth of CD-quality audio
recording. More detailed and comprehensive
analysis of current and past data enabled
the tournament organizer to create more
interesting and engaging content for the
19.7 million unique users.
The IBM system gathered large volumes of
data in real time from on-court sensors and
scorers plus social media from off-court
analysts and fans around the globe, and
then integrated it with other sources of
structured and unstructured data for
distribution to analytical tools, websites,
mobile apps and broadcasters. The real-time
analysis of match data revealed winning
patterns; analytics were also used to predict
demand, enabling the cloud infrastructure
to automatically adjust resources.
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for business
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capabilities
5 Resources
InfoSphere BigInsights for the cloud
allows organizations to respond faster
to changing business environments by
analyzing larger volumes of data more
cost-effectively. It enables organizations to
analyze all data in its native format to add
real-world information to decision processes.
Organizations can use it to scale to petabytes
of data and thousands of users with near-
linear processor scalability—all on a reliable
and secure platform.
4 IBM Watson Foundations:
Complete cloud analytics
capabilities
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1 Introduction 2 Cloud and analytics:
The new growth engine
for business
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cloud with InfoSphere
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4 IBM Watson Foundations:
Complete cloud analytics
capabilities
5 Resources5 Resources
Resources
In this era of big data, you need solutions
that allow you to easily and cost-effectively
unlock the value of enterprise data. Many
analytics solutions leave users frustrated
or disappointed because they can’t act
handle today’s big data volumes, take too
long to deploy or require huge new
upfront investments.
It’s time for a new approach. Analytics in the cloud with InfoSphere BigInsights allows
you to easily and economically tap into the power of Hadoop and big data. To learn more
about how you can take advantage of InfoSphere BigInsights and IBM cloud offerings,
visit these resources:
IBM InfoSphere BigInsights overview
InfoSphere BigInsights Quick Start Edition
IBM Watson Foundations
IBM Cloud Computing