Hooduku is a solutions company to have implemented Cloud and Big data solutions in real world.
We have stuff to showcase our work. We are not buzz word experts.
Becoming Data-Driven Through Cultural ChangeCloudera, Inc.
We've arrived at a crossroads. Big data is an initiative every business knows they should take on in order to evolve their business, but no one knows how to tackle the project.
This is the first in a series of webinars that describe how to break down the challenge into three major pieces: People, Process, and Technology. We'll discuss the industry trends around big data projects, the pitfalls with adopting a modern data strategy, and how to avoid them by building a culture of data-driven teams.
Transforming Business for the Digital Age (Presented by Microsoft)Cloudera, Inc.
Digital transformation is not simply about technology—it requires business and government leaders to re-envision existing business models and embrace a different way of bringing together people, data, and processes to create value for their customers. The challenges facing businesses today are very familiar: engaging customers, empowering employees, optimizing operations, and transforming products.
What has changed is the unique convergence of increasing volumes of data from the digitization of our lives, the advancements in analytics and machine intelligence and the ubiquity of cloud computing which has shifted customer expectations and offers businesses opportunities to surpass those expectations and reinvent the value they offer.
This presentation explores the journey Microsoft is on with various different organisations from around the world as they Digitally Transform.
You are not Facebook or Google? Why you should still care about Big Data and ...Kai Wähner
Big data represents a significant paradigm shift in enterprise technology. Big data radically changes the nature of the data management profession as it introduces new concerns about the volume, velocity and variety of corporate data.
This session goes beyond the well-known examples of huge companies such as Facebook or Google with millions of users. Instead, this session explains the "big" paradigm and technology shift for your company. See several use cases how big data enables small / medium-sized companies to gain insight into new business opportunities (and threats) and how big data stands to transform much of what the modern enterprise is today.
Learn about solving the unique challenges of big data without an own research lab or several big data experts in your company. Learn how to implement the relevant use cases for your company with low costs and efforts by using open source frameworks, which simplify working with big data a lot.
Best Practices for Building a Warehouse QuicklyWhereScape
Key factors that influence a successful data warehouse task are:
+ Implementing the True Development Approach
+ Choosing a Rapid Development Product
+ Ensuring Data Availability
+ Involving Key Users throughout the whole project
+ Relying on a Pragmatic Governance Framework
+ Utilizing experienced Team Members
+ Selecting the right Hardware, Infrastructure Technology
Becoming Data-Driven Through Cultural ChangeCloudera, Inc.
We've arrived at a crossroads. Big data is an initiative every business knows they should take on in order to evolve their business, but no one knows how to tackle the project.
This is the first in a series of webinars that describe how to break down the challenge into three major pieces: People, Process, and Technology. We'll discuss the industry trends around big data projects, the pitfalls with adopting a modern data strategy, and how to avoid them by building a culture of data-driven teams.
Transforming Business for the Digital Age (Presented by Microsoft)Cloudera, Inc.
Digital transformation is not simply about technology—it requires business and government leaders to re-envision existing business models and embrace a different way of bringing together people, data, and processes to create value for their customers. The challenges facing businesses today are very familiar: engaging customers, empowering employees, optimizing operations, and transforming products.
What has changed is the unique convergence of increasing volumes of data from the digitization of our lives, the advancements in analytics and machine intelligence and the ubiquity of cloud computing which has shifted customer expectations and offers businesses opportunities to surpass those expectations and reinvent the value they offer.
This presentation explores the journey Microsoft is on with various different organisations from around the world as they Digitally Transform.
You are not Facebook or Google? Why you should still care about Big Data and ...Kai Wähner
Big data represents a significant paradigm shift in enterprise technology. Big data radically changes the nature of the data management profession as it introduces new concerns about the volume, velocity and variety of corporate data.
This session goes beyond the well-known examples of huge companies such as Facebook or Google with millions of users. Instead, this session explains the "big" paradigm and technology shift for your company. See several use cases how big data enables small / medium-sized companies to gain insight into new business opportunities (and threats) and how big data stands to transform much of what the modern enterprise is today.
Learn about solving the unique challenges of big data without an own research lab or several big data experts in your company. Learn how to implement the relevant use cases for your company with low costs and efforts by using open source frameworks, which simplify working with big data a lot.
Best Practices for Building a Warehouse QuicklyWhereScape
Key factors that influence a successful data warehouse task are:
+ Implementing the True Development Approach
+ Choosing a Rapid Development Product
+ Ensuring Data Availability
+ Involving Key Users throughout the whole project
+ Relying on a Pragmatic Governance Framework
+ Utilizing experienced Team Members
+ Selecting the right Hardware, Infrastructure Technology
Big Data beyond Apache Hadoop - How to integrate ALL your DataKai Wähner
Big data represents a significant paradigm shift in enterprise technology. Big data radically changes the nature of the data management profession as it introduces new concerns about the volume, velocity and variety of corporate data.
Apache Hadoop is the open source defacto standard for implementing big data solutions on the Java platform. Hadoop consists of its kernel, MapReduce, and the Hadoop Distributed Filesystem (HDFS). A challenging task is to send all data to Hadoop for processing and storage (and then get it back to your application later), because in practice data comes from many different applications (SAP, Salesforce, Siebel, etc.) and databases (File, SQL, NoSQL), uses different technologies and concepts for communication (e.g. HTTP, FTP, RMI, JMS), and consists of different data formats using CSV, XML, binary data, or other alternatives.
This session shows the powerful combination of Apache Hadoop and Apache Camel to solve this challenging task. Learn how to use every thinkable data with Hadoop – without plenty of complex or redundant boilerplate code. Besides supporting the integration of all different technologies and data formats, Apache Camel also offers an easy, standardized DSL to transform, split or filter incoming data using the Enterprise Integration Patterns (EIP). Therefore, Apache Hadoop and Apache Camel are a perfect match for processing big data on the Java platform.
Analyzing Billions of Data Rows with Alteryx, Amazon Redshift, and TableauDATAVERSITY
Got lots of data? So does Amaysim, a leading Australian telecom provider, with its billions of rows of data. The organization successfully empowers its small team of data analysts with self-service data analytics platforms so they can easily access the data they need, perform advanced analytics, and visualize findings for all stakeholders. Register for this session and learn how Amaysim uses the Alteryx-Redshift-Tableau BI stack to easily and quickly:
Extract data from their data warehouse and blend and enrich it with other sources
Give data analytical context by running statistical, predictive, and deep geo-spatial analytics
Create visualizations from analytics and then update Tableau Workbooks directly from Alteryx, or publish the results in Amazon Redshift, for easy direct access for their stakeholders from Tableau
Hear from Adrian Loong, Alteryx Analytics Certified Expert (ACE), and product marketers from AWS and Alteryx on how organizations can use Alteryx, Amazon Redshift and Tableau to enable data analysts to spin up new self-service analytics instances to enable fast investigation for critical business decisions.
Microsoft Azure - Planning your move to the cloudScott Cameron
Cloud computing trends and drivers and how IaaS, PaaS and SaaS address business needs, allow organizations to scale quickly and flexibly and how Microsoft does "Cloud."
Moving to the cloud requires proper planning. There are many reasons to move to the cloud but without starting with a solid plan it will be difficult to achieve your objectives.
Are you prepared for the cloud?
In this webinar, Portal Solutions’ Daniel Cohen-Dumani and Dale Tuttle discuss Making your Cloud Strategy Work in 2016, including:
- Learning the key steps to making a cloud strategy that works
- Determining how moving to the cloud impacts your staff & your business
- Learning how to align your goals with opportunities
Journey to the Cloud: What I Wish I Knew Before I StartedDatavail
Moving to the cloud can raise more questions than answers. Do I move and improve to Infrastructure as a service, or redesign my business processes on Software as a Service.
This presentation covers several cloud migrations to OAC, EBS/Cloud (HCM/Financials) and Hyperion, and outlines what went well and what could have gone better.
Learn how to solve the top 3 challenges Snowflake customers face, and what you can do to ensure high-performance, intelligent analytics at any scale. Ideal for those currently using Snowflake and those considering it.
https://www.brighttalk.com/webcast/18317/422499
Addressing the systemic shortcomings of cloud analyticsSamanthaBerlant
Learn how existing open source technologies like Apache Kylin, Spark, and Mondrian can be used to increase the value of your analytics investment.
As we enter what some have called The Golden Age of Analytics, there are still some fundamental challenges that plague even the largest and most sophisticated cloud analytics adopters. Chief among these is the challenge of scale, often reflected in limitations of concurrency, multi-tenancy, distributed query performance, and all manner of latencies.
Other less obvious, but equally crucial, challenges of scale and performance have to do with IT and end-user productivity. In other words, there have been few technological advances that enable the quick deployment of big data analytics and the rapid creation of business value from the data being analyzed.
This presentation will consider a few of these systemic challenges and suggest some ways that they can be addressed with available open source technology such as Apache Kylin, Apache Spark, and Apache Mondrian.
Presenter:
Kaige Liu is a Senior Solutions Architect at Kyligence, where he works on building the next-generation big data analytics platform. Previously, he worked on the OpenStack and Bluemix team at IBM, focusing on cloud computing and virtualization technology. Kaige loves the open source community and is an active Apache Kylin committer.
The Briefing Room with William McKnight and Actian
Live Webcast on October 14, 2014
Watch the archive:
https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=135528d85baa96a07850bd35961d459d
Integrating Hadoop with existing data sources, workflows and analytics can be a real challenge. While some components, like Hive and Spark, can give SQL access to Hadoop data, there isn’t much that enables Hadoop to be treated as a genuine BI and analytics platform, capable of running multiple jobs that serve multiple users and multiple applications. But what if you could turn Hadoop into a versatile, high performance development platform, forgoing all the pain of figuring out how and where to manage big data?
Register for this episode of The Briefing Room to hear veteran Analyst William McKnight as he discusses the fairly swift evolution of Hadoop’s capabilities. He’ll be briefed by Jim Hare of Actian, who will tout his company’s latest addition to its Analytic Platform: Hadoop SQL Edition. He will show how Actian has leveraged Hadoop and its scale out file system to create a fully functioning platform, providing everything from an analytic database to machine learning.
Visit InsideAnlaysis.com for more information.
The past year was punctuated by significant advancements in Apache Hadoop and increasingly wider adoption of Hadoop technology across the enterprise. Companies are continuing to use Hadoop in exciting new ways to better serve their customers, inform product development and drive operational efficiency like never before. Join Mike Olson, founder and CEO of Cloudera, as he shares his twelve major predictions for Hadoop in 2012. He will also unveil predictions from key industry analysts.
Olson will discuss predictions for:
- Where new opportunities for Hadoop will be found within the enterprise
- How new projects being developed for and on Apache Hadoop will expand data analysis capabilities
- Ways that Apache Hadoop will help companies solve short term and long term business challenges
Introduction to Segment, Analytics API and Customer Data Platform. (Demo: Segment, AWS Redshift, Redash, Segment and GTM Alternatives) (Frontend Fighters Edition)
Recommended links:
https://segment.com/ - Analytics API and Customer Data Platform
https://open.segment.com/ - Open Source Projects of Segment
https://segment.com/docs/ - Documentation of Segment
https://redash.io/ - Open Sorce Data Dashboard
https://aws.amazon.com/redshift/ - Data Warehouse Solution
https://quicksight.aws/ - Business Analytics Service
https://www.ghostery.com/ - Tracker Detector
Keywords: business agility, tag managers, data-driven
How to create intelligent Business Processes thanks to Big Data (BPM, Apache ...Kai Wähner
BPM is established, tools are stable, many companies use it successfully. However, today's business processes are based on data from relational databases or web services. Humans make decisions due to this information. Companies also use business intelligence and other tools to analyze their data. Though, business processes are executed without access to this important information because technical challenges occur when trying to integrate big masses of data from many different sources into the BPM engine. Additionally, bad data quality due to duplication, incompleteness and inconsistency prevents humans from making good decisions. That is status quo. Companies miss a huge opportunity here!
This session explains how to achieve intelligent business processes, which use big data to improve performance and outcomes. A live demo shows how big data can be integrated into business processes easily - just with open source tooling. In the end, the audience will understand why BPM needs big data to achieve intelligent business processes.
Pivotal Data Warehouse in the Age of Digital TransformationVMware Tanzu
View the recording: https://content.pivotal.io/webinars/the-data-warehouse-in-the-age-of-digital-transformation?utm_source-pivotalwebsite&utm-medium-email-link&utm-campaign=datawarehouse-hiredbrains-q117
In the past years of Big Data and digital transformation “euphoria”, Hadoop and Spark received most of the attention as platforms for large-scale data management and analytics. Data warehouses based on relational database technology, for a variety of reasons, came under scrutiny as perhaps no longer needed.
However, if there is anything users have learned recently it’s that the mission of data warehouses is as vital as ever. Cost and operational deficiencies can be overcome with a combination of cloud computing and open source software, and by leveraging the same economics of traditional big data projects - scale-up and scale-out at commodity pricing.
In this webinar, Neil Raden from Hired Brains Research makes the case that an evolved data warehouse implementation continues to play a vital role in the enterprise, providing unique business value that actually aids digital transformation. Attendees will learn:
- How the role of the data warehouse has evolved over time
- Why Hadoop and Spark are not replacements for the data warehouse
- How the data warehouse supports digital transformation initiatives
- Real-life examples of data warehousing in digital transformation scenarios
- Advice and best practices for evolving your own data warehouse practice
Data Warehousing in the Cloud: Practical Migration Strategies SnapLogic
Dave Wells of Eckerson Group discusses why cloud data warehousing has become popular, the many benefits, and the corresponding challenges. Migrating an existing data warehouse to the cloud is a complex process of moving schema, data, and ETL. The complexity increases when architectural modernization, restructuring of database schema, or rebuilding of data pipelines is needed.
Many large enterprises have begun using AWS to host development and test environments while also building greenfield applications in AWS. After realizing the benefits that AWS has to offer, many Enterprise look for ways to accelerate their migration to the cloud. In beginning this journey they are often faced with a number of challenges such as determining which applications should move, how they should move, and how can they be effectively managed in the cloud. Accenture, working with AWS Solution Architects, and AWS Professional Services have developed a framework, based on our experiences, to quickly, efficiently, and successfully move enterprise applications to AWS at scale. This session will review our approach, tools, and methods that can help Enterprises evolve their cloud transformation programs.
Big Data beyond Apache Hadoop - How to integrate ALL your DataKai Wähner
Big data represents a significant paradigm shift in enterprise technology. Big data radically changes the nature of the data management profession as it introduces new concerns about the volume, velocity and variety of corporate data.
Apache Hadoop is the open source defacto standard for implementing big data solutions on the Java platform. Hadoop consists of its kernel, MapReduce, and the Hadoop Distributed Filesystem (HDFS). A challenging task is to send all data to Hadoop for processing and storage (and then get it back to your application later), because in practice data comes from many different applications (SAP, Salesforce, Siebel, etc.) and databases (File, SQL, NoSQL), uses different technologies and concepts for communication (e.g. HTTP, FTP, RMI, JMS), and consists of different data formats using CSV, XML, binary data, or other alternatives.
This session shows the powerful combination of Apache Hadoop and Apache Camel to solve this challenging task. Learn how to use every thinkable data with Hadoop – without plenty of complex or redundant boilerplate code. Besides supporting the integration of all different technologies and data formats, Apache Camel also offers an easy, standardized DSL to transform, split or filter incoming data using the Enterprise Integration Patterns (EIP). Therefore, Apache Hadoop and Apache Camel are a perfect match for processing big data on the Java platform.
Analyzing Billions of Data Rows with Alteryx, Amazon Redshift, and TableauDATAVERSITY
Got lots of data? So does Amaysim, a leading Australian telecom provider, with its billions of rows of data. The organization successfully empowers its small team of data analysts with self-service data analytics platforms so they can easily access the data they need, perform advanced analytics, and visualize findings for all stakeholders. Register for this session and learn how Amaysim uses the Alteryx-Redshift-Tableau BI stack to easily and quickly:
Extract data from their data warehouse and blend and enrich it with other sources
Give data analytical context by running statistical, predictive, and deep geo-spatial analytics
Create visualizations from analytics and then update Tableau Workbooks directly from Alteryx, or publish the results in Amazon Redshift, for easy direct access for their stakeholders from Tableau
Hear from Adrian Loong, Alteryx Analytics Certified Expert (ACE), and product marketers from AWS and Alteryx on how organizations can use Alteryx, Amazon Redshift and Tableau to enable data analysts to spin up new self-service analytics instances to enable fast investigation for critical business decisions.
Microsoft Azure - Planning your move to the cloudScott Cameron
Cloud computing trends and drivers and how IaaS, PaaS and SaaS address business needs, allow organizations to scale quickly and flexibly and how Microsoft does "Cloud."
Moving to the cloud requires proper planning. There are many reasons to move to the cloud but without starting with a solid plan it will be difficult to achieve your objectives.
Are you prepared for the cloud?
In this webinar, Portal Solutions’ Daniel Cohen-Dumani and Dale Tuttle discuss Making your Cloud Strategy Work in 2016, including:
- Learning the key steps to making a cloud strategy that works
- Determining how moving to the cloud impacts your staff & your business
- Learning how to align your goals with opportunities
Journey to the Cloud: What I Wish I Knew Before I StartedDatavail
Moving to the cloud can raise more questions than answers. Do I move and improve to Infrastructure as a service, or redesign my business processes on Software as a Service.
This presentation covers several cloud migrations to OAC, EBS/Cloud (HCM/Financials) and Hyperion, and outlines what went well and what could have gone better.
Learn how to solve the top 3 challenges Snowflake customers face, and what you can do to ensure high-performance, intelligent analytics at any scale. Ideal for those currently using Snowflake and those considering it.
https://www.brighttalk.com/webcast/18317/422499
Addressing the systemic shortcomings of cloud analyticsSamanthaBerlant
Learn how existing open source technologies like Apache Kylin, Spark, and Mondrian can be used to increase the value of your analytics investment.
As we enter what some have called The Golden Age of Analytics, there are still some fundamental challenges that plague even the largest and most sophisticated cloud analytics adopters. Chief among these is the challenge of scale, often reflected in limitations of concurrency, multi-tenancy, distributed query performance, and all manner of latencies.
Other less obvious, but equally crucial, challenges of scale and performance have to do with IT and end-user productivity. In other words, there have been few technological advances that enable the quick deployment of big data analytics and the rapid creation of business value from the data being analyzed.
This presentation will consider a few of these systemic challenges and suggest some ways that they can be addressed with available open source technology such as Apache Kylin, Apache Spark, and Apache Mondrian.
Presenter:
Kaige Liu is a Senior Solutions Architect at Kyligence, where he works on building the next-generation big data analytics platform. Previously, he worked on the OpenStack and Bluemix team at IBM, focusing on cloud computing and virtualization technology. Kaige loves the open source community and is an active Apache Kylin committer.
The Briefing Room with William McKnight and Actian
Live Webcast on October 14, 2014
Watch the archive:
https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=135528d85baa96a07850bd35961d459d
Integrating Hadoop with existing data sources, workflows and analytics can be a real challenge. While some components, like Hive and Spark, can give SQL access to Hadoop data, there isn’t much that enables Hadoop to be treated as a genuine BI and analytics platform, capable of running multiple jobs that serve multiple users and multiple applications. But what if you could turn Hadoop into a versatile, high performance development platform, forgoing all the pain of figuring out how and where to manage big data?
Register for this episode of The Briefing Room to hear veteran Analyst William McKnight as he discusses the fairly swift evolution of Hadoop’s capabilities. He’ll be briefed by Jim Hare of Actian, who will tout his company’s latest addition to its Analytic Platform: Hadoop SQL Edition. He will show how Actian has leveraged Hadoop and its scale out file system to create a fully functioning platform, providing everything from an analytic database to machine learning.
Visit InsideAnlaysis.com for more information.
The past year was punctuated by significant advancements in Apache Hadoop and increasingly wider adoption of Hadoop technology across the enterprise. Companies are continuing to use Hadoop in exciting new ways to better serve their customers, inform product development and drive operational efficiency like never before. Join Mike Olson, founder and CEO of Cloudera, as he shares his twelve major predictions for Hadoop in 2012. He will also unveil predictions from key industry analysts.
Olson will discuss predictions for:
- Where new opportunities for Hadoop will be found within the enterprise
- How new projects being developed for and on Apache Hadoop will expand data analysis capabilities
- Ways that Apache Hadoop will help companies solve short term and long term business challenges
Introduction to Segment, Analytics API and Customer Data Platform. (Demo: Segment, AWS Redshift, Redash, Segment and GTM Alternatives) (Frontend Fighters Edition)
Recommended links:
https://segment.com/ - Analytics API and Customer Data Platform
https://open.segment.com/ - Open Source Projects of Segment
https://segment.com/docs/ - Documentation of Segment
https://redash.io/ - Open Sorce Data Dashboard
https://aws.amazon.com/redshift/ - Data Warehouse Solution
https://quicksight.aws/ - Business Analytics Service
https://www.ghostery.com/ - Tracker Detector
Keywords: business agility, tag managers, data-driven
How to create intelligent Business Processes thanks to Big Data (BPM, Apache ...Kai Wähner
BPM is established, tools are stable, many companies use it successfully. However, today's business processes are based on data from relational databases or web services. Humans make decisions due to this information. Companies also use business intelligence and other tools to analyze their data. Though, business processes are executed without access to this important information because technical challenges occur when trying to integrate big masses of data from many different sources into the BPM engine. Additionally, bad data quality due to duplication, incompleteness and inconsistency prevents humans from making good decisions. That is status quo. Companies miss a huge opportunity here!
This session explains how to achieve intelligent business processes, which use big data to improve performance and outcomes. A live demo shows how big data can be integrated into business processes easily - just with open source tooling. In the end, the audience will understand why BPM needs big data to achieve intelligent business processes.
Pivotal Data Warehouse in the Age of Digital TransformationVMware Tanzu
View the recording: https://content.pivotal.io/webinars/the-data-warehouse-in-the-age-of-digital-transformation?utm_source-pivotalwebsite&utm-medium-email-link&utm-campaign=datawarehouse-hiredbrains-q117
In the past years of Big Data and digital transformation “euphoria”, Hadoop and Spark received most of the attention as platforms for large-scale data management and analytics. Data warehouses based on relational database technology, for a variety of reasons, came under scrutiny as perhaps no longer needed.
However, if there is anything users have learned recently it’s that the mission of data warehouses is as vital as ever. Cost and operational deficiencies can be overcome with a combination of cloud computing and open source software, and by leveraging the same economics of traditional big data projects - scale-up and scale-out at commodity pricing.
In this webinar, Neil Raden from Hired Brains Research makes the case that an evolved data warehouse implementation continues to play a vital role in the enterprise, providing unique business value that actually aids digital transformation. Attendees will learn:
- How the role of the data warehouse has evolved over time
- Why Hadoop and Spark are not replacements for the data warehouse
- How the data warehouse supports digital transformation initiatives
- Real-life examples of data warehousing in digital transformation scenarios
- Advice and best practices for evolving your own data warehouse practice
Data Warehousing in the Cloud: Practical Migration Strategies SnapLogic
Dave Wells of Eckerson Group discusses why cloud data warehousing has become popular, the many benefits, and the corresponding challenges. Migrating an existing data warehouse to the cloud is a complex process of moving schema, data, and ETL. The complexity increases when architectural modernization, restructuring of database schema, or rebuilding of data pipelines is needed.
Many large enterprises have begun using AWS to host development and test environments while also building greenfield applications in AWS. After realizing the benefits that AWS has to offer, many Enterprise look for ways to accelerate their migration to the cloud. In beginning this journey they are often faced with a number of challenges such as determining which applications should move, how they should move, and how can they be effectively managed in the cloud. Accenture, working with AWS Solution Architects, and AWS Professional Services have developed a framework, based on our experiences, to quickly, efficiently, and successfully move enterprise applications to AWS at scale. This session will review our approach, tools, and methods that can help Enterprises evolve their cloud transformation programs.
Hooduku is a solutions company to have implemented Cloud and Big data solutions in real world.
We have stuff to showcase our work. We are not buzz word experts.
Demographics, Devices and Cafes: Public Wi-Fi Revisited Irvin Kovar
A look at the trends behind the global increase in the wireless hotspot and how this may may postively impact the less-than-successful attempts in the US to bring Municiple Wi-Fi into a sustainable mode of operation. A review of success and failure , lessons learned and recommendations. Approaches include collaborative efforts that involve the work performed at the community level in the "free wi-fi" movement , the private sector and more secure public sector institutions to make public wi-fi a success.
Global Architects heeft een klantgerichte commerciële ontwerpbenadering, waarin uw wensen binnen de beste
prijs-kwaliteitsverhouding gerealiseerd worden.
Uitgangspunt voor het ontwerp is de ruimtelijke vertaling van de leefstijl en identiteit van de opdrachtgever.
Tijdens het ontwerpproces vormt de uitwisseling van wederzijdse ideeën en inspiratie de basis om gezamenlijk tot een visie voor het
project te komen. Uw wensen worden op een unieke hedendaagse manier vormgegeven gebruikmakend van krachtige 3D visualisaties
en een sterke technische uitwerking.
Het uiteindelijke doel is gebouwen/ruimtes te ontwerpen waarin de eindgebruikers zich comfortabel voelen. Elementen als ecologisch
duurzaam, innovatie en kwaliteit spelen hierin een belangrijke rol.
In this second annual survey, more than one hundred philanthropic leaders from across the United States shared their wisdom and insights about giving in the year ahead. The data provided in this Dini Partners’ survey report is encouraging and demonstrates the critical thinking that undergirds philanthropy in these challenging times.
From the valued impressions and insights that were shared, we have made recommendations to assist nonprofit leaders and volunteers. It is our hope that this survey report will help institutions continue to succeed in fundraising and mission advancement as our national and regional economies continue to recover.
www.dinipartners.com
Discussion on how to make "movies" using DVD Maker or Windows Live Photo from collection of still images and video. Brief introduction to Windows and Google Photo Galleries adn to their editor functions
Izlaganje - HR nakon tri godine recesijeMarino Miloš
Što se dogodilo s HR funkcijom u zadnje tri godine recesije? Jesu li HR menadžeri dobili 'veća prava glasa' u procesima restrukturiranja ili ih se tek sad ne pita ništa? Da li je HR konačno postao 'strateška funkcija' ili je sveden natrag na 'kadrovsku službu'? Kakva su iskustva sudionika konferencije? Kakve su perspektive u naredne tri godine? Jesu li HR menadžeri spremni za iščekivani oporavak gospodarstva?
Samtlige bidrag (minus 2) fra Best YET i Norge 2010. Jeg og Jørgen har bidrag #17 og er på short list sammen med #33 og #61. Hvilken valør vi ender opp med vet vi ikke før Gullblyanten 2010.
Fealty has 16 years of experience and passion for software development and learning new technologies as well as designing software systems using spiral and agile software development in Java, AWS Cloud, GCP, JavaScript, React.js, and Node.js, Go Lang, Python Flask, Django, AI/ML and full stack design and development for Constrained Devices, Gateways, Cross Stack Functionality, and IOT Cloud Platforms. We have ability to deliver secure and scalable application using containerization like Docket and Kubernetes.
We have team of 25+ passionate software engineers. We are able to expand 100+ if required by project.
Migrating Thousands of Workloads to AWS at Enterprise Scale – Chris Wegmann, ...Amazon Web Services
At the end of this session participants will learn how to assess their enterprise application portfolio and move thousands of instances to AWS in a quick and repeatable fashion. Migrating workloads to AWS in an enterprise environment is not easy, but with the right approach, an enterprise sized organization can migrate thousands of instances to AWS quickly and cost effectively to ensure a strong ROI.
Analyst Webinar: Prepare for Dramatic Changes in Application Architecture. With guest speaker Craig Le Clair, VP & Principal Analyst at Forrester Research, Inc.
Watch the webinar on demand: http://www.nuxeo.com/resources/prepare-dramatic-changes-application-architecture/
(ENT206) Migrating Thousands of Workloads to AWS at Enterprise Scale | AWS re...Amazon Web Services
Migrating workloads to AWS in an enterprise environment is not easy, but with the right approach, an enterprise-sized organization can migrate thousands of instances to AWS quickly and cost effectively. You can leave this session with a good understanding of the migration framework used to assess an enterprise application portfolio and how to move thousands of instances to AWS in a quick and repeatable fashion.
In this session, we describe the components of Accenture's cloud migration framework, including tools and capabilities provided by Accenture, AWS, and third-party software solutions, and how enterprises can leverage these techniques to migrate efficiently and effectively. The migration framework covers:
- Defining an overall cloud strategy
- Assessing the business requirements, including application and data requirements
- Creating the right AWS architecture and environment
- Moving applications and data using automated migration tools- Services to manage the migrated environment
Watch ReliaCloud and RedPath's presentation on the topic of "Developing Your Cloud Strategy". Cloud computing represents a major shift in the way that companies view infrastructure. The benefits of cloud computing are huge, but there are also some questions about security, location of data, and control that need to be addressed.
During this seminar, we will provide a quick introduction to cloud computing with a focus on Infrastructure as a Service (IaaS). We will cover the five items you need to consider when putting together your cloud roadmap, including:
•Introduction to IaaS
•Developing Your Cloud Strategy
•The IaaS Decision Process
•Public vs. Private Clouds
•Case Study
This keynote will help you understand the current state of cloud adoption, identify the business value for your organization, and provide you a framework to plot your course to cloud adoption.
Modern apps and services are leveraging data to change the way we engage with users in a more personalized way. Skyla Loomis talks big data, analytics, NoSQL, SQL and how IBM Cloud is open for data.
Learn more by visiting our Bluemix Hybrid page: http://ibm.co/1PKN23h
Journey to the Cloud: What I Wish I Knew Before I Started Datavail
Moving to the cloud can raise more questions than answers. Do I move and improve to Infrastructure as a service, or redesign my business processes on Software as a Service.
This presentation covers several cloud migrations to OAC, EBS/Cloud (HCM/Financials) and Hyperion, and outlines what went well and what could have gone better.
YASH Cloud Advisory services will help envision your cloud adoption and outline an appropriate strategy and roadmap on how the opportunities and/or transformation can be realized.
Net Solutions a CMMI level 3, award winning outsourced product development company. As AWS Standard Consulting Partner, we will take care of everything for you. Apps and services on AWS can broaden your user base and cut down on operating costs.
The Cloud and You - the 'as a service' disruption you can't ignoreJohn Head
In any discussion about cloud, there are lots of buzzwords being thrown out by analysts and vendors. "Digital Transformation", "Democratization of IT", "Citizen Developer", and many more. Add in the 'as a Service" explosion and it is hard to make heads and tails over what will add value to your business. This session will cut through the hype and help bring a reality check to how the Cloud can help you. This session is for everyone: Administrator, Developer, IT Executive, or Business User. Plan on leaving with a deeper understanding and ideas of where you can take advantage.
Building a Modern Analytic Database with Cloudera 5.8Cloudera, Inc.
Analytic workloads and the ability to determine “what happened” are some of the most common use cases across enterprises today - helping you understand and adapt based on changing trends. However, for most businesses today, they are only able to see a piece of the story. Analytics are limited by the amount of data able to be stored and ultimately accessed, it’s time-intensive to bring in new datasets or fit unstructured data into rigid schemas, and user access is constrained to a select few who must already know the questions they’re trying to answer.
It’s no surprise that big data is disrupting this modus operandi for analytics. A modern, Hadoop-based platform is designed to help businesses break free of these analytic limitations, providing a new kind of adaptive, high-performance analytic database. The recent release of Cloudera 5.8 continues to advance Cloudera Enterprise as the foundation for these analytic workloads.
Join Justin Erickson, Senior Director of Product Management at Cloudera, and Andy Frey, Chief Technology Officer at Marketing Associates, as they discuss:
-What technology is needed to build a modern analytic database with Hadoop
-What’s new with Cloudera 5.8
-How to align your teams around agile analytics
-Real world success from Marketing Associates
-What’s next for Cloudera Enterprise’s Analytic Database
ATC follows Agile Software Development Methodology (based on iterative and incremental development processes), where requirements and solutions evolve through collaboration between self-organizing, cross-functional teams.
AWS re:Invent 2016: Driving Innovation with Big Data and IoT (GPSST304)Amazon Web Services
With unforeseen competitive threats and potential market disruptions, enterprises are seeking to innovate for the benefit of their customers. Business transformation in the digital age requires the successful use of new technologies including the cloud, IoT, and Big Data. Attend this session to learn more about how AWS can help organizations innovate faster around IoT and Big Data. We dive into specific opportunities and approaches for managing billions of connected devices and associated big data workloads on the cloud.
Similar to Hooduku - Cloud and Big data practice (20)
There is a huge gap between supply and demand for qualified professionals in the vast and growing space of Cloud Computing domain.
Gurukul trainers are professionals and on a daily work on complex projects with in the realm of Cloud. They are best in business with over several decades of experience.
Gurukul training is not a crash course. It is in-depth training and very real to on the job experience.
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.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
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.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Essentials of Automations: Optimizing FME Workflows with Parameters
Hooduku - Cloud and Big data practice
1. Hooduku Inc
We refined SaaS!
“SaaS is Solutions as a Service and not just
Software as a Service”
“One of the best open source experts to work on a highly visible SaaS service, deliver
within budget and timelines and ‘professionally’! ”
2. Summary
• Over 50 years of combined techno-functional experience
building enterprise systems and products for companies
like Amazon, SeeBeyond (Oracle), HP, Microsoft, several
startups and industry verticals such as Baker
Hughes, EaglerockEnergy&AmericanMidstream, CISCO
&Netgear
• Background and experience building enterprise
application integrations, Systems integration, Data
mining, Big data analytics , Data visualization products
and solutions
How can we help?
• We can help startups, medium and large enterprises to
quickly adapt to new game changing and disruptive
technologies such as Cloud and big data.
• With background in both startups and enterprise
companies, can deliver turn key products and solutions
from concept to implementation for cloud and traditional
data centers
What we are not?
We are “not” buzz word experts.
Skills & Expertise
Agile Methodologies/Project Management
Software Project Management
Executive Management
Process Improvement
Web Development
Project Management
Strategic Planning
Business Process Improvement
Business Process Design
Web Applications
User Interface
Program Management
Project Coordination
User Experience
Business Analysis
Mobile Applications
Business Process Re-engineering
Big Data (Hadoop)
Software Design
Desktop Application Development
Data Modeling
E-Commerce
Multi-Tenant/Multi User Platform
Cloud IaaS
Amazon Web Services (AWS)
Rackspace Cloud/HP Cloud
Microsoft Azure
Specialization
•We specialize in providing tangible technical/business solutions, which impacts employee/staff productivity measured immediately,
but will deliver substantial returns gradually over 3-6 months or longer.
3. Cloud Computing Practice
What we bring to the table
We offer following Cloud & Virtualization
services,
• Cloud Focused Consulting Services
• Infrastructure on Public Cloud
• Building Private Cloud (POC only)
• Cloud Management Setups
• Big Data Setups
• Infrastructure Management and
Support
• Custom Software & Solutions for
Cloud
• Deploying Package Apps for Cloud
Reduce operational cost of your existing IT infrastructure
incrementally by starting from low cost/low risk navigating around
more advanced services.
Build Customized Solutions - Get efficient and cost effective solution,
based on your current IT and business needs, and corresponding ROI.
“Whether you are a startup business looking for a low cost highly scalable hosting
solution or a Medium/Large business looking for a geographically distributed and
reliable cloud infrastructure, for your compute, storage and networking needs; We
can help transform your ideas into reality.”
How do we do it?
4. Cloud Computing
PlexiCloud/Hooduku Cloud
• Architected and built multi user cloud hosting service
for Hooduku Cloud. One of the earliest and only
cloud hosting solution for SMB segment.
• Helped customers to migrate to Cloud providers such
as Amazon AWS, Rackspace Cloud and Windows
Azure from traditional shared servers, VMs and
dedicated servers.
Linux Foundation
• Migrated user generated content such as images and
video to AWS S3
• Built and implemented backup strategy for the web
assets
• Built BI reports for Linux events leveraging enterprise
CRM and Pentaho. Both deployed on Amazon AWS
IaaS.
• Built mobile apps to use in Linux events world wide.
• Architected and built an end-end highly scalable and
available/visible web asset for one of the largest
technological non- profit organization
• Scaled an Open source CMS like Joomla by natively
supporting Mysql Master/slave architecture.
3D-Media Group
• Built Custom Social media based web app
leveragingthe expertise I had on Joomla and
Hooduku Cloud to serve media and exhibitors.
• Enabled the service on mobile devices and built
location/geo aware applications to help attendees
navigate the new location. II2P
• Helped build the self serve Help desk and knowledge
base portal – similar to Service Desk/Service Now.
• Contributed to building enterprise class workflow
engine for the portal.
Startups & SMB
• Have helped several startups to adapt to Cloud, build
SaaS services leveraging open standards, frameworks
and libraries covering CRMs& loyalty programs.
• Helped customer host/migrate custom apps and
solutions on Amazon AWS, Rackspace Cloud and
Gogrid
• Built enterprise grade monitoring tools to monitor
both cloud and non-cloud assets from a single
dashboard and control panel.
Microsoft & Joomla Organization
• The first and the only team to support Joomla
platform/CMS on Microsoft Azure Cloud platform.
• Helped Microsoft partners build web assets leveraging the
solution we architected and built.
• Hooduku is gold sponsor for Joomla project.
• Implemented and rolled several enterprise class web apps
for customers like EcoInsight & Brown Printing Press
5. Big Data – Hooduku Landscape
Relation
al
Operational
..more
Analytics
..more
As a Service
..more
Infrastructure
Apps
Operational Intelligence
Splunk
New Relic ..more
Data as a Service
FICO
..more
Ad / Media
Linux
Events
IAEE
Business Intelligence
Oracle Sharepoint
SAP/Business Objects
..more
We have implemented Big data solutions four clients. Hire the experts to provide
the flawless solution for your big data problem. Our Big data landscape shows the
areas of our expertise currently.
6. Big data Solutions
• In year 2006 – built a verticalized search engine for
employers and job seekers. The Nutch Search engine was
customized to provide the search capabilities.
• Hadoop clusters were used to run parallel job crawlers and
custom crawlers.
• Drupal CMS was the front end to show filters and search
results.
• Project was shelved in 2007, since the idea was new and
lack of funding.
Xervmon: CloudManagement analytics
• Leveraged HadoopClusters to run map reduce jobs to
execute projection algorithm and store real time cost
projections in shardedmongodb in order to scale projections
on large data sets
• Helped Build data visualization charts leveraging D3 and
Google Charts leveraging LAMP Stack – custom app.
• Currently extending the architecture to support Graphite
DB, Hadoop and mongodb to support System and application
perf. stats.
• Built a home grown data collection engine to support
multiple cloud providers such as Amazon AWS, Rackspace
Cloud, HP Cloud, Softlayer and several ISPs such as
Timewarner and Comcast.
• Helped build home grown Analytical framework to project
costs on dynamic costing scenarios for Cloud within in SME
segment.
• Currently team is executing plan to provide enterprise grade
turn key cloud management solution.
Big data technologies allow you to deal with massively large data
sets.
Technologies like Hadoop, Pig, Hive, R and many others are there
to help you overcome limitations of
capturing, storing, search, sharing, analyzing and visualizing of
large datasets.
We can help you configure and deploy such technologies to suit
your particular needs.
Mobile Apps
• We have developed several Big data enabled apps for Apple and Google Play devices.
• Several apps developed by us is available on Itunesor Google Play store.
7. Industry - Oil & Gas
SparkEnergy
• Hooduku Consulted to help the customer find gaps in
existing enrollment process, which delayed the
enrollment and on-boarding process
• Helped build an end-end commercial customer
enrollment process integrating the call
center, customer relations and the home grown
energy platform covering pricing engine and Customer
relations management.
• In the end – the new system improved the
enrollment, on boarding process and eventually sales
by 25%.
American Midstream
• Integrated oil inbound and outbound data from oil
fields into Sharepoint infrastructure for reliable and
quick data access.
• Enabled and rolled out services to field staff on mobile
devices increasing productivity and saved additional
delay in data entry.
• Developed BI reports to help C level executives make
right decisions.
Chris Thomas – IT Director
“Hooduku team have raw talent in understanding client
concerns and building relationships.”
Eagle rock Energy
•Helped field staff to be productive by integrating the
capture/list/search of daily oil production/refinery, accounting and
refinery assets with Sharepoint Portals
• Enabled and rolled out services to field staff on mobile
devices increasing productivity and saved additional delay in data
entry.
Baker Hughes
• Built Enterprise wide knowledge portal that linked data from
variety of data sources and delivered to field users access on
any data, from any where and any how.
Peter Jackson (Project Manager)
“Hooduku was hired to create an enterprise wide knowledge
portal that linked information and business data from a
variety of sources, including static documents, SQL databases
and an SAP database. We had an idea of what we wanted to
achieve, but were unsure of the database links and other
functionality that would be required.
Hooduku team listened carefully to our explanations, and
worked with us to better define our needs, frequently
suggesting new and innovative approaches. They brought a
wealth of prior experience and was able to guide us through
any potential pitfalls. They also integrated workflow
capabilities to help streamline existing manual processes.
Altogether a very good customer experience that definitely
provided value for our organization.”
8. Technology - Products
HP – PartnerDirect/Ecommerce
• Helped build partner portals to provide
competitive tools and products to sell HP products
across Americas (US/Canada and Latin America).
• Helped build tools to improve productivity tools
to sales, there by increasing sales by 5-7% year
over year.
HP – Sales COMP IT
• Multi-million dollar & highly visible global tool
from ground up, collaborated with techno
functional teams across 3 regions and over 25
countries to architect, develop and implement
Quota Execution for Sales Teams (QuEST) to
streamline sales assignments
(Accounts, Territories), quota, generation of sales
letters and Outbounds.
• Exceeded C-Sat scores by 10% year over
year, helped sales teams to be more productive &
improving sales by 15 % across the organization
covering all major business units
• Assisted with project economics: risk
management, planning and budgeting
SeeBeyond/Sun/Oracle
• Hooduku team led and architected best in class
enterprise grade ETL product
• Hooduku team led and managed the ETL
integration with Integrated Composite
Application Network (ICAN) product suite.
• As part of solution implementation, Hooduku
collaborated with teams within SeeBeyond
Services, VISA and GM to process and
transform million transactions/sec data ware
house.
Microsoft
• Hooduku helped the sales/business and
evangelist teams to develop battle
cards, competitive analysis and demos for
Biztalk suite of products
• Using competitive battle cards, Microsoft sales
were able to make inroads into competition
landscape and improved the sales chances.