The document discusses using Amazon Web Services (AWS) and Qlik to analyze and visualize raw data in the cloud. It describes how AWS provides various services for collecting, storing, processing, and analyzing data at massive scales. Qlik can then be used on AWS to build interactive business intelligence applications that allow users to explore and gain insights from large datasets. The demo shows how raw data can be automatically loaded into AWS services like S3, Redshift, and EMR and then used to trigger a reload of Qlik applications, providing up-to-date insights in near real-time.
Data Science is a term that is popular today with corporations; however we rarely see whole organization understand it and get behind it. The session will cover the top 5 most popular algorithms in data science and show how we visualize outputs in Qlik. Using Teradata Aster and Qlik you can unlock insights gained from data scientist and distribute the results to your every data users. We will take a look at technical aspect and real life scenarios with these algorithms.
Qonnections2015 - Why Qlik is better with Big DataJohn Park
Big Data is everywhere. We generate enough data to track every single transactions, sensors, and interactions. But what do we do with this? Using Jethro Data and Qlik you can easily unlock the value of Big Data. Qlik can help you find outliers and trends in Billions rows and make what seems long esoteric process easy. The presentation will go through the problem statement and Qlik like approach to solving the problem. We will also introduce Jethro data a new Qlik Partner to the Our Partners
Big Data brings big promise and also big challenges, the primary and most important one being the ability to deliver Value to business stakeholders who are not data scientists!
Slides used during the presentation and demonstration 'QlikView & Big Data' at the Business Discovery World Tour on 9 October 2013 by Mischa van Werkhoven and Michael Robertshaw.
Big Data. We've all heard about it. We all think we should do something with it. But do we know exactly what it is and how to create value from it? How reasonable are our expectations? This session focuses on the myths of Big Data, technologies involved as well as how QlikView can be used to add relevance and context to Big Data for the end user.
View this presentation made at India's largest Business Discovery World Tour. It talks about how QlikView Business Discovery - user driven BI is different from traditional BI applications. Customers are loving this user-driven BI and are actively embracing it suffice to say there are over 26000 customers worldwide who are already using QlikView.
Information Management: Answering Today’s Enterprise ChallengeBob Rhubart
As presented by George Lumpkin at OTN Architect Day, Redwood Shores, CA, 7/22/09.
Find an OTN Architect Day event near you: http://www.oracle.com/technology/architect/archday.html
Interact with Architect Day presenters and participants on Oracle Mix: https://mix.oracle.com/groups/15511
Data Science is a term that is popular today with corporations; however we rarely see whole organization understand it and get behind it. The session will cover the top 5 most popular algorithms in data science and show how we visualize outputs in Qlik. Using Teradata Aster and Qlik you can unlock insights gained from data scientist and distribute the results to your every data users. We will take a look at technical aspect and real life scenarios with these algorithms.
Qonnections2015 - Why Qlik is better with Big DataJohn Park
Big Data is everywhere. We generate enough data to track every single transactions, sensors, and interactions. But what do we do with this? Using Jethro Data and Qlik you can easily unlock the value of Big Data. Qlik can help you find outliers and trends in Billions rows and make what seems long esoteric process easy. The presentation will go through the problem statement and Qlik like approach to solving the problem. We will also introduce Jethro data a new Qlik Partner to the Our Partners
Big Data brings big promise and also big challenges, the primary and most important one being the ability to deliver Value to business stakeholders who are not data scientists!
Slides used during the presentation and demonstration 'QlikView & Big Data' at the Business Discovery World Tour on 9 October 2013 by Mischa van Werkhoven and Michael Robertshaw.
Big Data. We've all heard about it. We all think we should do something with it. But do we know exactly what it is and how to create value from it? How reasonable are our expectations? This session focuses on the myths of Big Data, technologies involved as well as how QlikView can be used to add relevance and context to Big Data for the end user.
View this presentation made at India's largest Business Discovery World Tour. It talks about how QlikView Business Discovery - user driven BI is different from traditional BI applications. Customers are loving this user-driven BI and are actively embracing it suffice to say there are over 26000 customers worldwide who are already using QlikView.
Information Management: Answering Today’s Enterprise ChallengeBob Rhubart
As presented by George Lumpkin at OTN Architect Day, Redwood Shores, CA, 7/22/09.
Find an OTN Architect Day event near you: http://www.oracle.com/technology/architect/archday.html
Interact with Architect Day presenters and participants on Oracle Mix: https://mix.oracle.com/groups/15511
BI & Analytics in Action Using QlikViewUday Kothari
The QlikView Business Discovery platform delivers true self-service BI that empowers business users by driving innovative decision-making. It is one of the fastest growing BI products and has been recognized in the industry for its ease of use for business users, visualizing data with engaging, state-of-the-art graphics and ability to consolidate relevant data from multiple sources into a single application. Companies in India like Flipkart, Godrej, Canon, HDFC Life, Reliance life and shoppers stop are leveraging QlikView to empower their business users through QlikView.
This webinar will gives an overview of QlikView architecture, talks about why it is different and then, it will also take you through how to get started with using QlikView. For data analytics enthusiasts, this webinar presents simplest ways to learn QlikView. At the end of this webinar, participants will be equipped to install QlikView and create simple dashboards. In short this is a 'Fast track indtroduction to creating your first QlikView dashboard'.
Discover the QlikView Way was presented by Matthew Stephen, Solutions Consultant at QlikView during the Discover QlikView track at Business Discovery London event on 22nd November 2011
QlikView is considered to be the most flexible business intelligence platforms for data visualization that business analysts and business intelligence (BI) developers can use to create advanced BI apps. It is not only fast to deploy and easy to learn, but also improves data vizualization practices. Several companies across the globe today like banking conglomerate, e-commerce, consulting or manufacturing companies have been using Qlikview and benefiting from it. It is a single application platform for all BI needs which is helping companies across the globe with unprecedented business insights.
Modern analytics platform, designed to perform multidimensional analysis. These include Business Intelligence solutions, allowing you to make quick and accurate decisions.
Stand out by collaborative, advanced visualization, integration of data from multiple sources, as well as the option of using mobile devices. Simple and intuitive operation allows the end user to create their own ad-hoc analysis based on real data.
BPX group is an authorized partner of QlikTech – one of the leading business intelligence solutions. We have the QlikView Solution Provider and OEM status.
“What is special about QlikView? How is it different from other software?”
Some who ask these questions have experience with traditional BI (business
intelligence) reporting solutions and want to understand QlikView in that
context. Others have been exposed to standalone data visualization tools
and want to know how QlikView is different. Still others are on a mission to
put high-speed analytics in the hands of business users throughout their
organizations and are curious about how Business Discovery can help. This ppt showcases the benefits of an information workforce being empowered to
ask and answer the next question on their own, without having to ask a BI or IT
specialist for help. Empowering information workers to derive insights from data
helps organizations to streamline, simplify, and optimize decision making.
Integrating QlikView with Salesforce.com was presented by David Sedgwick, Solutions Architect and Joe Francis, VP of Global Operations during the QlikView in Depth seminar track at The Business Discovery London event on 22nd November 2011
18th Athens Big Data Meetup - 1st Talk - Timeseries Forecasting as a ServiceAthens Big Data
Title: Timeseries Forecasting as a Service
Speaker: Thanassis Spyrou (https://linkedin.com/in/thanassis-spyrou-92911959/)
Date: Thursday, November 14, 2019
Event: https://meetup.com/Athens-Big-Data/events/265957761/
Blueprint Series: Banking In The Cloud – Ultra-high Reliability ArchitecturesMatt Stubbs
Data architecture for a challenger bank.Speaker: Jason Maude, Head of Technology Advocacy, Starling BankSpeaker Bio: Jason Maude is a coder, coach, and public speaker. He has over a decade of experience working in the financial sector, primarily in creating and delivering software. He is passionate about explaining complex technical concepts to those who are convinced that they won't be able to understand them. He currently works at Starling Bank as their Head of Technology Advocacy and host of the Starling podcast.Filmed at Skills Matter/Code Node London on 9th May 2019 as part of the Big Data LDN Meetup Blueprint Series.Meetup sponsored by DataStax.
Qlik Sense for Beginners - www.techstuffy.com - QlikView Next GenerationPractical QlikView
Learn Qlik Sense Desktop the Easy and Fast way with Qlik Sense for Beginners (QS4B) - Sample
If you'd like to analyse your data so you can make informed decisions that help you reach your goals read on.
Qlik Sense can be used for all sorts of goals. For example in business that goal might be to make more profit, whereas for the personal user that goal might be to find where they are spending all their money.
Qlik Sense for Beginners (QS4B) will :
· Teach you how to create Qlik Sense apps from scratch in easy to understand steps with plenty of screenshots.
· Explain how to get data into a Qlik Sense apps from a variety of sources such as Excel, text files, access and sql databases.
· Show you how to create various charts and tables Qlik Sense for example bar, gauges,line,combo,treemaps and scatter plots.
· How to manage the Qlik Sense data model using joins, grouping, inline tables, link tables and dimensions.
Once you have mastered the basics some of the other topics we will cover are:
· Development Tips - Migrating from QlikView to Qlik Sense User.
· Development Techniques - subroutines and external scripts, crosstables.
· Advanced Functions such as Class, Intervalmatch, Dual and more.
· Set analysis
· QVDs and incremental loads
· Bookmarks
· Storytelling feature
· Qlik Sense Extensions
And much more...
Qlik Sense Desktop is a FREE product.
Examples are using Qlik Sense Desktop version 0.96
Qlik Sense Desktop has recently been release.
Buy with confidence on the Kindle knowing that you will get UPDATES to the book automatically.
Other books:
Practical QlikView
Practical QlikView 2 - Beyond Basic QlikView
Practical Sql: Microsoft Sql Server T-SQL for Beginners
https://www.youtube.com/user/practicalqlik
https://twitter.com/practicalqlik
http://www.techstuffy.com
Data and its Role in Your Digital TransformationVMware Tanzu
Data plays a big role in building the kinds of experiences demanded by the market today. In this session, we’ll unpack what goes into building a data-driven app, case studies of how organizations have successfully overcome siloed data and analytics to bring new predictive features into their applications, and what your next steps for data should be on your digital transformation journey.
Speaker: Les Klein, EMEA CTO Data, Pivotal
The Big Picture: Real-time Data is Defining Intelligent OffersCloudera, Inc.
New research shows that 57% of the buying cycle is completed before a prospect even speaks to a company. Marketers already know this, Ninety-six percent (96%) of organizations believe that email personalization can improve email marketing performance. But where do we get this increasingly personal direction? The answer is likely in your customer data. In order to understand your customer needs contextualized in the moment they feel the need to act you will require a platform that can leverage real-time data. Apache Kudu is a Cloudera component that makes dealing with quickly changing data fast and easy. Companies are leveraging next generation data stores like Kudu to build data applications that deliver smart promotions, real-time offers, and personalized marketing. Join us as we discuss modern approaches to real-time application development and highlight key Cloudera use cases being powered by Cloudera’s operational database.
SQL on Hadoop Batch, Interactive and Beyond.
Public Presentation showing history and where Hortonworks is looking to go with 100% Open Source Technology.
Apache Hive, Apache SparkSQL, Apache Pheonix, and Apache Druid
BI & Analytics in Action Using QlikViewUday Kothari
The QlikView Business Discovery platform delivers true self-service BI that empowers business users by driving innovative decision-making. It is one of the fastest growing BI products and has been recognized in the industry for its ease of use for business users, visualizing data with engaging, state-of-the-art graphics and ability to consolidate relevant data from multiple sources into a single application. Companies in India like Flipkart, Godrej, Canon, HDFC Life, Reliance life and shoppers stop are leveraging QlikView to empower their business users through QlikView.
This webinar will gives an overview of QlikView architecture, talks about why it is different and then, it will also take you through how to get started with using QlikView. For data analytics enthusiasts, this webinar presents simplest ways to learn QlikView. At the end of this webinar, participants will be equipped to install QlikView and create simple dashboards. In short this is a 'Fast track indtroduction to creating your first QlikView dashboard'.
Discover the QlikView Way was presented by Matthew Stephen, Solutions Consultant at QlikView during the Discover QlikView track at Business Discovery London event on 22nd November 2011
QlikView is considered to be the most flexible business intelligence platforms for data visualization that business analysts and business intelligence (BI) developers can use to create advanced BI apps. It is not only fast to deploy and easy to learn, but also improves data vizualization practices. Several companies across the globe today like banking conglomerate, e-commerce, consulting or manufacturing companies have been using Qlikview and benefiting from it. It is a single application platform for all BI needs which is helping companies across the globe with unprecedented business insights.
Modern analytics platform, designed to perform multidimensional analysis. These include Business Intelligence solutions, allowing you to make quick and accurate decisions.
Stand out by collaborative, advanced visualization, integration of data from multiple sources, as well as the option of using mobile devices. Simple and intuitive operation allows the end user to create their own ad-hoc analysis based on real data.
BPX group is an authorized partner of QlikTech – one of the leading business intelligence solutions. We have the QlikView Solution Provider and OEM status.
“What is special about QlikView? How is it different from other software?”
Some who ask these questions have experience with traditional BI (business
intelligence) reporting solutions and want to understand QlikView in that
context. Others have been exposed to standalone data visualization tools
and want to know how QlikView is different. Still others are on a mission to
put high-speed analytics in the hands of business users throughout their
organizations and are curious about how Business Discovery can help. This ppt showcases the benefits of an information workforce being empowered to
ask and answer the next question on their own, without having to ask a BI or IT
specialist for help. Empowering information workers to derive insights from data
helps organizations to streamline, simplify, and optimize decision making.
Integrating QlikView with Salesforce.com was presented by David Sedgwick, Solutions Architect and Joe Francis, VP of Global Operations during the QlikView in Depth seminar track at The Business Discovery London event on 22nd November 2011
18th Athens Big Data Meetup - 1st Talk - Timeseries Forecasting as a ServiceAthens Big Data
Title: Timeseries Forecasting as a Service
Speaker: Thanassis Spyrou (https://linkedin.com/in/thanassis-spyrou-92911959/)
Date: Thursday, November 14, 2019
Event: https://meetup.com/Athens-Big-Data/events/265957761/
Blueprint Series: Banking In The Cloud – Ultra-high Reliability ArchitecturesMatt Stubbs
Data architecture for a challenger bank.Speaker: Jason Maude, Head of Technology Advocacy, Starling BankSpeaker Bio: Jason Maude is a coder, coach, and public speaker. He has over a decade of experience working in the financial sector, primarily in creating and delivering software. He is passionate about explaining complex technical concepts to those who are convinced that they won't be able to understand them. He currently works at Starling Bank as their Head of Technology Advocacy and host of the Starling podcast.Filmed at Skills Matter/Code Node London on 9th May 2019 as part of the Big Data LDN Meetup Blueprint Series.Meetup sponsored by DataStax.
Qlik Sense for Beginners - www.techstuffy.com - QlikView Next GenerationPractical QlikView
Learn Qlik Sense Desktop the Easy and Fast way with Qlik Sense for Beginners (QS4B) - Sample
If you'd like to analyse your data so you can make informed decisions that help you reach your goals read on.
Qlik Sense can be used for all sorts of goals. For example in business that goal might be to make more profit, whereas for the personal user that goal might be to find where they are spending all their money.
Qlik Sense for Beginners (QS4B) will :
· Teach you how to create Qlik Sense apps from scratch in easy to understand steps with plenty of screenshots.
· Explain how to get data into a Qlik Sense apps from a variety of sources such as Excel, text files, access and sql databases.
· Show you how to create various charts and tables Qlik Sense for example bar, gauges,line,combo,treemaps and scatter plots.
· How to manage the Qlik Sense data model using joins, grouping, inline tables, link tables and dimensions.
Once you have mastered the basics some of the other topics we will cover are:
· Development Tips - Migrating from QlikView to Qlik Sense User.
· Development Techniques - subroutines and external scripts, crosstables.
· Advanced Functions such as Class, Intervalmatch, Dual and more.
· Set analysis
· QVDs and incremental loads
· Bookmarks
· Storytelling feature
· Qlik Sense Extensions
And much more...
Qlik Sense Desktop is a FREE product.
Examples are using Qlik Sense Desktop version 0.96
Qlik Sense Desktop has recently been release.
Buy with confidence on the Kindle knowing that you will get UPDATES to the book automatically.
Other books:
Practical QlikView
Practical QlikView 2 - Beyond Basic QlikView
Practical Sql: Microsoft Sql Server T-SQL for Beginners
https://www.youtube.com/user/practicalqlik
https://twitter.com/practicalqlik
http://www.techstuffy.com
Data and its Role in Your Digital TransformationVMware Tanzu
Data plays a big role in building the kinds of experiences demanded by the market today. In this session, we’ll unpack what goes into building a data-driven app, case studies of how organizations have successfully overcome siloed data and analytics to bring new predictive features into their applications, and what your next steps for data should be on your digital transformation journey.
Speaker: Les Klein, EMEA CTO Data, Pivotal
The Big Picture: Real-time Data is Defining Intelligent OffersCloudera, Inc.
New research shows that 57% of the buying cycle is completed before a prospect even speaks to a company. Marketers already know this, Ninety-six percent (96%) of organizations believe that email personalization can improve email marketing performance. But where do we get this increasingly personal direction? The answer is likely in your customer data. In order to understand your customer needs contextualized in the moment they feel the need to act you will require a platform that can leverage real-time data. Apache Kudu is a Cloudera component that makes dealing with quickly changing data fast and easy. Companies are leveraging next generation data stores like Kudu to build data applications that deliver smart promotions, real-time offers, and personalized marketing. Join us as we discuss modern approaches to real-time application development and highlight key Cloudera use cases being powered by Cloudera’s operational database.
SQL on Hadoop Batch, Interactive and Beyond.
Public Presentation showing history and where Hortonworks is looking to go with 100% Open Source Technology.
Apache Hive, Apache SparkSQL, Apache Pheonix, and Apache Druid
This presentation includes a comprehensive introduction to Apache Spark. From an explanation of its rapid ascent to performance and developer advantages over MapReduce. We also explore its built-in functionality for application types involving streaming, machine learning, and Extract, Transform and Load (ETL).
Alpine academy apache spark series #1 introduction to cluster computing wit...Holden Karau
Alpine academy apache spark series #1 introduction to cluster computing with python & a wee bit of scala. This is the first in the series and is aimed at the intro level, the next one will cover MLLib & ML.
This talk will address new architectures emerging for large scale streaming analytics. Some based on Spark, Mesos, Akka, Cassandra and Kafka (SMACK) and other newer streaming analytics platforms and frameworks using Apache Flink or GearPump. Popular architecture like Lambda separate layers of computation and delivery and require many technologies which have overlapping functionality. Some of this results in duplicated code, untyped processes, or high operational overhead, let alone the cost (e.g. ETL).
I will discuss the problem domain and what is needed in terms of strategies, architecture and application design and code to begin leveraging simpler data flows. We will cover how the particular set of technologies addresses common requirements and how collaboratively they work together to enrich and reinforce each other.
Since 2014, Typesafe has been actively contributing to the Apache Spark project, and has become a certified development support partner of Databricks, the company started by the creators of Spark. Typesafe and Mesosphere have forged a partnership in which Typesafe is the official commercial support provider of Spark on Apache Mesos, along with Mesosphere’s Datacenter Operating Systems (DCOS).
In this webinar with Iulian Dragos, Spark team lead at Typesafe Inc., we reveal how Typesafe supports running Spark in various deployment modes, along with the improvements we made to Spark to help integrate backpressure signals into the underlying technologies, making it a better fit for Reactive Streams. He also show you the functionalities at work, and how to make it simple to deploy to Spark on Mesos with Typesafe.
We will introduce:
Various deployment modes for Spark: Standalone, Spark on Mesos, and Spark with Mesosphere DCOS
Overview of Mesos and how it relates to Mesosphere DCOS
Deeper look at how Spark runs on Mesos
How to manage coarse-grained and fine-grained scheduling modes on Mesos
What to know about a client vs. cluster deployment
A demo running Spark on Mesos
Everyone in the Scala world is using or looking into using Akka for low-latency, scalable, distributed or concurrent systems. I'd like to share my story of developing and productionizing multiple Akka apps, including low-latency ingestion and real-time processing systems, and Spark-based applications.
When does one use actors vs futures?
Can we use Akka with, or in place of, Storm?
How did we set up instrumentation and monitoring in production?
How does one use VisualVM to debug Akka apps in production?
What happens if the mailbox gets full?
What is our Akka stack like?
I will share best practices for building Akka and Scala apps, pitfalls and things we'd like to avoid, and a vision of where we would like to go for ideal Akka monitoring, instrumentation, and debugging facilities. Plus backpressure and at-least-once processing.
NOTE: This was converted to Powerpoint from Keynote. Slideshare does not play the embedded videos. You can download the powerpoint from slideshare and import it into keynote. The videos should work in the keynote.
Abstract:
In this presentation, we will describe the "Spark Kernel" which enables applications, such as end-user facing and interactive applications, to interface with Spark clusters. It provides a gateway to define and run Spark tasks and to collect results from a cluster without the friction associated with shipping jars and reading results from peripheral systems. Using the Spark Kernel as a proxy, applications can be hosted remotely from Spark.
Reactive app using actor model & apache sparkRahul Kumar
Developing Application with Big Data is really challenging work, scaling, fault tolerance and responsiveness some are the biggest challenge. Realtime bigdata application that have self healing feature is a dream these days. Apache Spark is a fast in-memory data processing system that gives a good backend for realtime application.In this talk I will show how to use reactive platform, Actor model and Apache Spark stack to develop a system that have responsiveness, resiliency, fault tolerance and message driven feature.
Real-Time Anomaly Detection with Spark MLlib, Akka and CassandraNatalino Busa
We present a solution for streaming anomaly detection, named “Coral”, based on Spark, Akka and Cassandra. In the system presented, we run Spark to run the data analytics pipeline for anomaly detection. By running Spark on the latest events and data, we make sure that the model is always up-to-date and that the amount of false positives is kept low, even under changing trends and conditions. Our machine learning pipeline uses Spark decision tree ensembles and k-means clustering. Once the model is trained by Spark, the model’s parameters are pushed to the Streaming Event Processing Layer, implemented in Akka. The Akka layer will then score 1000s of event per seconds according to the last model provided by Spark. Spark and Akka communicate which each other using Cassandra as a low-latency data store. By doing so, we make sure that every element of this solution is resilient and distributed. Spark performs micro-batches to keep the model up-to-date while Akka detects the new anomalies by using the latest Spark-generated data model. The project is currently hosted on Github. Have a look at : http://coral-streaming.github.io
Reactive dashboard’s using apache sparkRahul Kumar
Apache Spark's Tutorial talk, In this talk i explained how to start working with Apache spark, feature of apache spark and how to compose data platform with spark. This talk also explains about reactive platform, tools and framework like Play, akka.
Spark Streaming makes it easy to build scalable fault-tolerant streaming applications. In this webinar, developers will learn:
*How Spark Streaming works - a quick review.
*Features in Spark Streaming that help prevent potential data loss.
*Complementary tools in a streaming pipeline - Kafka and Akka.
*Design and tuning tips for Reactive Spark Streaming applications.
Data processing platforms architectures with Spark, Mesos, Akka, Cassandra an...Anton Kirillov
This talk is about architecture designs for data processing platforms based on SMACK stack which stands for Spark, Mesos, Akka, Cassandra and Kafka. The main topics of the talk are:
- SMACK stack overview
- storage layer layout
- fixing NoSQL limitations (joins and group by)
- cluster resource management and dynamic allocation
- reliable scheduling and execution at scale
- different options for getting the data into your system
- preparing for failures with proper backup and patching strategies
Lambda Architecture with Spark, Spark Streaming, Kafka, Cassandra, Akka and S...Helena Edelson
Regardless of the meaning we are searching for over our vast amounts of data, whether we are in science, finance, technology, energy, health care…, we all share the same problems that must be solved: How do we achieve that? What technologies best support the requirements? This talk is about how to leverage fast access to historical data with real time streaming data for predictive modeling for lambda architecture with Spark Streaming, Kafka, Cassandra, Akka and Scala. Efficient Stream Computation, Composable Data Pipelines, Data Locality, Cassandra data model and low latency, Kafka producers and HTTP endpoints as akka actors...
How Zebra Technologies delivers business intelligence with Elastic on Google ...Elasticsearch
Zebra Technologies builds tracking technology and solutions by giving physical things a digital voice. Zebra VisibilityIQTM is hosted on Google Cloud, and uses Google and Elastic as a big data store and analytics engine, delivering search, aggregations, scripted metrics, and map-reduce calculations. Learn how Zebra Technologies uses Elastic and Google Cloud to provide the speed, caching, and reliability needed to analyze huge data sets and deliver real-time KPIs.
Streamline search with Elasticsearch Service on Microsoft AzureElasticsearch
Join Microsoft and learn about the best practices of running Elasticsearch Service in the Azure cloud, and how the partnership with Elastic makes it easier for you to deploy powerful search experiences in your Azure environment. You will also see joint service demos and hear about shared enterprise customer success stories.
Streamline search with Elasticsearch Service on Microsoft AzureElasticsearch
Join Microsoft and learn about the best practices of running Elasticsearch Service in the Azure cloud, and how the partnership with Elastic makes it easier for you to deploy powerful search experiences in your Azure environment. You will also see joint service demos and hear about shared enterprise customer success stories.
See the vision for the future of Elastic solutions, from new features to GovCloud availability and FedRAMP authorization. Find out what’s in store for Elastic Enterprise Search, Observability, and Security and see how they’re evolving to help users better mitigate risk, reduce costs, and modernize infrastructures. Plus, see the honorees for this year’s Elastic Search Public Sector Awards and learn about their projects.
Elastic Cloud: The best way to experience everything ElasticElasticsearch
Add more value to your Elastic deployment by leveraging powerful cloud-based features and the benefits of a managed service offering. Come learn about autoscaling, searchable snapshots, cold and frozen data tiers, and cross-cluster replication and cross-cluster search. Learn how the Elastic Cloud managed service provides security by default, streamlined provisioning, and hands-free maintenance — we’ll even wear the pager!
Elastic, DevSecOps, and the DOD software factoryElasticsearch
The Department of Defense (DoD) and many other organizations are moving towards Agile and infrastructure as code (IaC). This shift improves efficiency and provides more robust security, leading to capabilities such as continuous monitoring and shortened authorization to operate timeframes. Learn more about the DoD software factory and how Elastic fits in.
Learn why Elastic Cloud is the best place to run everything Elastic. You will hear about our commitment to the cloud, the benefits of using managed services, and the optimizations we’ve made for running in public clouds. Listen as IST Research discusses their success with Elastic and see an end-to-end demo showing how easy it is to get started.
Get tips directly from the experts at Elastic about planning for, monitoring, and troubleshooting the Elastic Stack at scale. Elastic experts will share the tools, strategies, and architectures that can be used to ensure cluster health and performance. Learn about using tools like automated alerting to identify and remediate issues rapidly. Walk away armed with best practices for how to ensure both cluster and data resiliency.
Salesforce and Heroku are a great combination, but most Salesforce Partners don't know how to take advantage of the combined strength of the two platforms. Join us as we share the advantages offered by the Heroku1 and Salesforce1 Platforms and how they can be combined using a variety of methods to deliver scalable solutions for a spectrum of customer needs.
Caso di successo esposto durante l'evento Qlik Visualize Your Worl 2014 - Per...Business Insight
ECOS ha partecipato alla tappa italiana dell’evento Visualize Your World in collaborazione con Qlik presso gli East End Studios di Milano. In qualità di sponsor, ECOS ha presentato il caso di successo Pernod Ricard Italia, cliente che ha adottato la soluzione HR Analytics.
Relatori:
- Pamela Mirra - HR Organizational Development manager Pernod Ricard Italia
-Marco Bellinzona - Amministratore Delegato ECOS
SI Alliance Marketing - Insurance Analytics Solution WebinarDavid Castro
Go to market joint webinar presenting digital transformation process and impact using insurance analytics. State Auto insurance customer, Deloitte strategic SI and solution development, and Qlik analytics technology. Presented by Qlik. 2016.
La transformación digital impulsada por los datos en la industria de servicio...Data IQ Argentina
Te presentamos un resumen de la sesión que Niall Gallacher, Global Director - Qlik Indsutry Solutions, realizó sobre cómo muchas organizaciones de servicios profesionales de todo el mundo están aprovechando analíticas innovadoras para impulsar el éxito en sus estrategias de transformación digital.
From secure VPC links to SSO with Elastic CloudElasticsearch
Have you ever wondered how you can use the technologies built into Elastic Cloud to improve your deployment's security posture? Learn about security best practices for built-in security features such as encryption by default for data in transit or at rest, and also the tools you can use to enhance security such as IP filtering and our AWS PrivateLink integration.
What's new at Elastic: Update on major initiatives and releasesElasticsearch
The first technical talk of the event will highlight the latest releases at Elastic with specific insight into how those changes impact public sector projects. See the inside view of the most important capabilities and hear predictions on the developments that will be most applicable in our industry.
Elastic Observability is helping organizations drive their mean time to resolution toward zero with end-to-end visibility in a single platform. Hear about the latest features and capabilities at all layers — from ingest to insight — and get a glimpse into where we are headed.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
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!
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
GridMate - End to end testing is a critical piece to ensure quality and avoid...ThomasParaiso2
End to end testing is a critical piece to ensure quality and avoid regressions. In this session, we share our journey building an E2E testing pipeline for GridMate components (LWC and Aura) using Cypress, JSForce, FakerJS…
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
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/
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
3. 3#qonnections
Rahul Bhartia
• Ecosystem Solutions Architect, AWS
• Data and analytics applications for the Cloud
• Over 10 years in architecture of data processing
systems
Presenters
John Park
• Senior Solution Architect, Partner Engineering
• ETL, Data warehousing, Software design, *NIX
systems and architecture
• 2 years Qlik, 7 years DW Consultant
• Twitter: @jpark328
5. 5#qonnections
What can the cloud do for us ?
Collect
• EventsTransactions
• Files and Logs
Store
• Object Store
• Databases
• NoSQL
Capabilities of Qlik with Amazon Web Services (AWS)
Process
• Hadoop and data integration tools (ETL)
Think of the cloud as ‘The Matrix’ and you have infinite amount of cheap resources to create
your Business Intelligence environment
Analyze
• Query , Visualize and Collaborate
7. Why AWS?
Building and managing cloud since 2006
40+ services to support any cloud workload
History of rapid, customer-driven releases
11 regions, 29 availability zones, 53 edge locations
48 proactive price reductions to date
Thousands of SIs and ISVs; 2,100+ Marketplace listings
Experience
Service Breadth & Depth
Pace of Innovation
Global Footprint
Pricing Philosophy
Ecosystem
8. Administration
& Security
Access
Control
Identity
Management
Key Management
& Storage
Monitoring
& Logs
Resource &
Usage Auditing
Platform
Services
Analytics App Services Developer Tools & Operations Mobile Services
Data
Pipelines
Data
Warehouse
Hadoop
Real-time
Streaming Data
Application
Lifecycle
Management
Container
s
Deployment
DevOps
Event-driven
Computing
Resource
Templates
Identity
Mobile
Analytics
Push
Notifications
Sync
App
Streaming
Email
Queuing &
Notifications
Search
Transcoding
Workflow
Core
Services
CDN
Compute
(VMs, Auto-scaling, and
Load Balancing)
Databases
(Relational, NoSQL, and
Caching)
Networking
(VPC, DX, and DNS)
Storage
(Object, Block, EFS,
and Archival)
Infrastructure
Availability
Zones
Points of
PresenceRegions
Enterprise
Applications
Business
Email
Sharing &
Collaboration
Virtual
Desktop
Technical &
Business Support
Account
Management
Partner
Ecosystem
Professional
Services
Security &
Pricing Reports
Solutions
Architect
s
Support
Training &
Certification
Machine
Learning
AWS - cloud computing services
9. Culture of innovation
On-premises
Infrequent and long
experimentations
High risk
Lower innovation
Frequent and short
experimentations
Low risk
Higher innovation
Innovate faster by experimenting often with lower risks
10. “Unstructured data growth
explosive, with estimates
of compound annual
growth (CAGR) at 62%
from 2008 – 2012”
Source: IDC
GB
TB
PB
ZB
EB
Unconstrained data growth
11. Not only about growth…
Data
Velocity
Variety
Volume
Structured, Unstructured, Text, Binary
Gigabytes, Terabytes, Petabytes
Millisecond, Second, Minute, Hour, Day
23. 23#qonnections
Qlik®
with AWS - Andersen Corporation
Challenges
• With plans to transform the structure of its sales team,
Andersen Corporation needed a streamlined way to
realign, measure and track the success of its sales
team. Additionally, the team would have limited IT
bandwidth to support the project and just 90 days to
deploy.
Solution
• Andersen Corporation deployed QlikView in the cloud
with the help of Qlik Consulting to support the
restructure of its sales team. The tool is now at the
heart of all sales decisions.
Benefit
• Streamlined view of all sales data in one platform aligned
with new sales structure
• Increased efficiency with sales targeting based on
geography
• Created a self-service environment for sales team allowing
direct access to personal performance and sales pipeline.
• ROI in 90 Days
“With only three months to deploy and limited
bandwidth from our IT team, we went into this project
knowing we would need to rely heavily on the vendor.
Qlik Consulting was able to quickly understand the
idiosyncrasies of our business, digest the complexity
of the project and lay the proper foundation needed for
our team’s success”
Director of Business Analytics, Andersen
Corporation
• Andersen Corporations is the largest window
manufacturer in North America
• Employees 9,000 people
• 100+ Year company serving North America, South
America, Europe, Asia and Middle East.
24. 24#qonnections
QlikView - Business discovery on AWS
• Cloud-based associative business discovery
for Big Data
• Massive data scalability with Amazon EC2
• Rapid Big Data app development with
Amazon Redshift
• Seamlessly combines Big Data with other
data sources
• Easy to implement no upfront cost
Amazon EMR
Hadoop
Cluster
Amazon RDS
Operational
Systems
Amazon Redshift
Data
Warehouse
25. 25#qonnections
PresentationApplication
Windows Based
File Share
(Optional)
Third-Party Integration:
• Informatica
• Talend
DataAccess
Windows IIS
QlikView - Business Discovery Platform on AWS
Business Discovery Apps
Sales • Finance • Marketing • Operations
QlikView
Web Server
Business Users
IT Admins
QlikView
Management Console
QlikView Server
QlikView Publisher
Data Sources
Custom connectors; ODBC;
OLEDB; QVX; XML
QVW; QVD files
Data/Business
Analysts
Developers
QlikView
Developer
Security Integration:
• IAM
• AD Server Replication
Elastic IP
Instances
Amazon EC2 Amazon EC2
Amazon S3 MySQL DB
Instance
Oracle DB
Instance
MS SQL
Instance Amazon Redshift
AWS Management
Console
27. 27#qonnections
Take raw data and perform ETL and reload automatically in Qlik
• Use AWS CloudFormation to create our stack*
• Raw data into Amazon S3(manually)
• Use Amazon Data Pipeline as an orchestration engine
– Amazon EMR performs analysis with data on Amazon S3
– Load detail data into Amazon Redshift
– Amazon EMR summarizes data and place it in Amazon S3
– Trigger a QlikView re-load
• Automatically see the results on QlikView Access Point.
Our demo today
29. Architecture for Demo
Availability Zone us-east1a
Subnet 1 Subnet 2
Internet Gateway
User
Amazon VPC
Qlik
Server
Qlik
Server
Bastion
Amazon
Redshift
Amazon
S3
QlikView Server- Amazon
EC2*
31. 31#qonnections
Security
• AWS Identity and Access Management (IAM)
• Amazon VPC – subnets, security groups and network access
control list and
• Amazon S3 bucket policies and support for encryption
Performance
• Placement groups for low-latency, 10 Gbps network
• Enhanced networking for high packet-per-second performance
Cost Savings
• Use Amazon Elastic Block Store (Amazon EBS) and stop or
terminate Amazon EC2 instances
• Elasticity with Auto Scaling
• Amazon EC2 Spot Instances and Reserved Instances
Repeatability
• Script everything you can and automate
Considerations
32. 32#qonnections
Qlik
• All collateral from this session will be posted in
branch – http://branch.qlik.com/, GitHub, Slideshare
Qlik community - https://community.qlik.com/welcome
Slides will be posted on community and code will be posted on
branch.
AWS
• Test Drive - http://www.ipc-global.com/login-page-for-directit-test-
drive-labs/
• AWS Summits - http://aws.amazon.com/summits/
• AWS Documentations - http://aws.amazon.com/documentation/
• AWS Boot camp at Summits
Where can I learn more about Qlik and AWS
33. 33#qonnections
Combine AWS and Qlik for maximum benefits
• Provide your customers with production grade Qlik
environment(Use Stacks)
• Go from raw data to analysis in days not months with AWS
• An affordable flexible option that also scales with your customer
needs
– No hardware or software to buy to install Qlik
– Get started quickly
– Quick ROI for customers
Summary and key takeaways
35. 35#qonnections
Feedback survey
• Please complete the track session survey via the mobile app
• Access the track session survey through the mobile app
• Enter track session code T63
• Provide your feedback
TALKING POINTS
Customers have selected AWS for eight years because we have proven ourselves committed to customer success.
We believe we stand apart in the market because of six factors: Experience, Service Breadth and Depth, Pace of Innovation, Global Footprint, Pricing Philosophy, and Partner Ecosystem
AWS has developed the broadest collection of services available from any cloud provider.
Our approach to regions, availability zones, and POPs provides global coverage for high availability, low latency applications.
Foundation services across compute, storage, security, and networking offer customers flexibility in their architecture. We have a full spectrum of options to meet most price-to-performance scenarios.
We offer the capability for both managed and unmanaged database options.
The offerings for Analytics and Application Services enable advanced data processing and workloads.
AWS Redshift, our cloud-based data warehouse, is the fastest growing service in the history of AWS.
Our management tools offer a lot of insight and flexibility to let you manage your AWS resources through either our tools or the management tools you’re already familiar with.
Recent expansion into enterprise applications has been entirely driven by customer feedback on where they’d like us to deliver value.
We see our customers do amazing things when they reduce the cost of experimentation- it moves IT from being a roadblock, where each idea costs lots of money and takes lots of time, to being an enabler where you can launch a speculative project quickly and cheaply. It allows firms to take more chances on ideas, and gives them a shot at winning big, as opposed to being scared to even try.
Due to the convergence of many technologies of cloud, mobile, social, and advancements in many field such as genomics, life sciences, space, the size of the digital universe is growing at an ever increasing rate.
Customers have also found tremendous value in being able to mine this data to make better medicine, tailored purchasing recommendations, detect fraudulent financial transactions in real time, provide on-demand digital content such as movies and songs, predict weather forecasts, the list goes on and on.
However, we don’t believe that there is one tool that can do everything, but rather if you use the right tools, you can build a highly configurable big data architecture to meet your specific needs.
While I won’t be able to go over all of our big data services, I would like to spend some time introducing to you several key big data services that are designed for high availability and durability,
as a managed service where we provision the infrastructure on your behalf
where you can get significant big data storage and analytics with a few clicks or api calls.
Fundamental storage at internet scale, it can store any number of objects from 1 byte to 5 TB in size
It is engineered for 11 9’s of durability replicating your data at least three times in three distinct physical data centers we call availability zones
We have customers such as Dropbox, Spotify, Pinterest store billions of objects or files as photos, videos, songs, or any other type of file.
Fundamental storage at internet scale, it can store any number of objects from 1 byte to 5 TB in size
It is engineered for 11 9’s of durability replicating your data at least three times in three distinct physical data centers we call availability zones
We have customers such as Dropbox, Spotify, Pinterest store billions of objects or files as photos, videos, songs, or any other type of file.
Fundamental storage at internet scale, it can store any number of objects from 1 byte to 5 TB in size
It is engineered for 11 9’s of durability replicating your data at least three times in three distinct physical data centers we call availability zones
We have customers such as Dropbox, Spotify, Pinterest store billions of objects or files as photos, videos, songs, or any other type of file.
Fundamental storage at internet scale, it can store any number of objects from 1 byte to 5 TB in size
It is engineered for 11 9’s of durability replicating your data at least three times in three distinct physical data centers we call availability zones
We have customers such as Dropbox, Spotify, Pinterest store billions of objects or files as photos, videos, songs, or any other type of file.
Fundamental storage at internet scale, it can store any number of objects from 1 byte to 5 TB in size
It is engineered for 11 9’s of durability replicating your data at least three times in three distinct physical data centers we call availability zones
We have customers such as Dropbox, Spotify, Pinterest store billions of objects or files as photos, videos, songs, or any other type of file.
Fundamental storage at internet scale, it can store any number of objects from 1 byte to 5 TB in size
It is engineered for 11 9’s of durability replicating your data at least three times in three distinct physical data centers we call availability zones
We have customers such as Dropbox, Spotify, Pinterest store billions of objects or files as photos, videos, songs, or any other type of file.
Fundamental storage at internet scale, it can store any number of objects from 1 byte to 5 TB in size
It is engineered for 11 9’s of durability replicating your data at least three times in three distinct physical data centers we call availability zones
We have customers such as Dropbox, Spotify, Pinterest store billions of objects or files as photos, videos, songs, or any other type of file.
Elastic capability and on demand nature of Cloud with Qlikview.
High Level AWS EC2 Redshift
Redshift Being an WH Construct
Direct Connect
What is Big Data ?
What is Hadoop ?
Totally private web application with no public access to any AWS resources
Must be on the VPN to manage the resources or use the application