The meetup agenda outlines presentations on using BellaDati's agile analytics and reporting tool. The morning sessions cover creating quick reports, collaboration features, and industry-specific app templates. The afternoon advanced analytics session with Peter Fedorocko highlights BellaDati's integrated data warehouse, ETL scripts, and capabilities for analyzing Twitter, MongoDB, and other data sources.
Analytics in a Day Ft. Synapse Virtual WorkshopCCG
Say goodbye to data silos! Analytics in a Day will simplify and accelerate your journey towards the modern data warehouse. Join CCG and Microsoft for a half-day virtual workshop, hosted by James McAuliffe.
An overview on how we have approached dataops to allow analysts and data scientists to work quickly and release frequently with high confidence. Covers:
- Cloud/multi-cloud architecture
- CI/CD in the data space
- Development, testing, and deployment
- Monitoring and alerting
In this presentation, Microsoft data scientists Ben Keen and Shahzia Holtom cover an introduction to data science with respect to:
- What is a data scientist?
- What data does a data scientist need?
- AI ethics and responsibility
- What is MLOps and how does it drive value?
Analytics in a Day Ft. Synapse Virtual WorkshopCCG
Say goodbye to data silos! Analytics in a Day will simplify and accelerate your journey towards the modern data warehouse. Join CCG and Microsoft for a half-day virtual workshop, hosted by James McAuliffe.
Architecting Data For The Modern Enterprise - Data Summit 2017, Closing KeynoteCaserta
The “Big Data era” has ushered in an avalanche of new technologies and approaches for delivering information and insights to business users. What is the role of the cloud in your analytical environment? How can you make your migration as seamless as possible? This closing keynote, delivered by Joe Caserta, a prominent consultant who has helped many global enterprises adopt Big Data, provided the audience with the inside scoop needed to supplement data warehousing environments with data intelligence—the amalgamation of Big Data and business intelligence.
This presentation was given as the closing keynote at DBTA's annual Data Summit in NYC.
4 slide overview of Microsoft BI & analytics architecture and how it would work with your current environment. See the PointDrive for more information - https://ptdrv.linkedin.com/5fj1ey0
Traditional BI promises security and scale, but at what cost? Often, working with data, finding answers and sharing them can be laborious and time intensive. The rapid growth and maturation of cloud technologies offers an easier path.
With Tableau and AWS you can move your BI to the cloud and deliver the security and scale of your traditional BI, but with accessibility, flexibility, and speed. Take a closer look at the benefits of cloud BI, and how you can get started today.
Analytics in a Day Ft. Synapse Virtual WorkshopCCG
Say goodbye to data silos! Analytics in a Day will simplify and accelerate your journey towards the modern data warehouse. Join CCG and Microsoft for a half-day virtual workshop, hosted by James McAuliffe.
An overview on how we have approached dataops to allow analysts and data scientists to work quickly and release frequently with high confidence. Covers:
- Cloud/multi-cloud architecture
- CI/CD in the data space
- Development, testing, and deployment
- Monitoring and alerting
In this presentation, Microsoft data scientists Ben Keen and Shahzia Holtom cover an introduction to data science with respect to:
- What is a data scientist?
- What data does a data scientist need?
- AI ethics and responsibility
- What is MLOps and how does it drive value?
Analytics in a Day Ft. Synapse Virtual WorkshopCCG
Say goodbye to data silos! Analytics in a Day will simplify and accelerate your journey towards the modern data warehouse. Join CCG and Microsoft for a half-day virtual workshop, hosted by James McAuliffe.
Architecting Data For The Modern Enterprise - Data Summit 2017, Closing KeynoteCaserta
The “Big Data era” has ushered in an avalanche of new technologies and approaches for delivering information and insights to business users. What is the role of the cloud in your analytical environment? How can you make your migration as seamless as possible? This closing keynote, delivered by Joe Caserta, a prominent consultant who has helped many global enterprises adopt Big Data, provided the audience with the inside scoop needed to supplement data warehousing environments with data intelligence—the amalgamation of Big Data and business intelligence.
This presentation was given as the closing keynote at DBTA's annual Data Summit in NYC.
4 slide overview of Microsoft BI & analytics architecture and how it would work with your current environment. See the PointDrive for more information - https://ptdrv.linkedin.com/5fj1ey0
Traditional BI promises security and scale, but at what cost? Often, working with data, finding answers and sharing them can be laborious and time intensive. The rapid growth and maturation of cloud technologies offers an easier path.
With Tableau and AWS you can move your BI to the cloud and deliver the security and scale of your traditional BI, but with accessibility, flexibility, and speed. Take a closer look at the benefits of cloud BI, and how you can get started today.
Over 90% of today’s data has been generated in the last two years, and growth rates continue to climb. In this session, we’ll step through challenges and best practices with data capturing, how to derive meaningful insights to help predict the future, and common pitfalls in data analysis.
Come discover how integrated solutions involving Amazon S3, AWS Glue, Amazon Redshift, Amazon Athena, Amazon EMR, Amazon Kinesis, and Amazon Machine Learning/Deep Learning result in effective data systems for data scientists and business users, alike.
A modern, flexible approach to Hadoop implementation incorporating innovation...DataWorks Summit
A modern, flexible approach to Hadoop implementation incorporating innovations from HP Haven
Jeff Veis
Vice President
HP Software Big Data
Gilles Noisette
Master Solution Architect
HP EMEA Big Data CoE
Afternoons with Azure - Power BI and Azure Analysis ServicesCCG
See how Microsoft Power BI and Azure Analysis Services are influencing the BI and analytics market. Journey through data structures and fundamentals for setting up your next dashboard initiative.
Interested in learning more? Click ccganalytics.com/resources for more or call (813) 265-3239.
Analytics in a Day Ft. Synapse Virtual WorkshopCCG
Say goodbye to data silos! Analytics in a Day will simplify and accelerate your journey towards the modern data warehouse. Join CCG and Microsoft for a half-day virtual workshop, hosted by James McAuliffe.
Accelerating Innovation with Unified Analytics with Ali GhodsiDatabricks
Today at the 10th Spark Summit, Databricks CEO & Co-founder revealed Databricks Serverless, a new initiative to offer serverless computing for complex data science and Apache Spark workloads. Databricks Serverless is the first product to offer a serverless API for Apache Spark, greatly simplifying and unifying data science and big data workloads for both end-users and DevOps.
Learn how the Microsoft Cortana Intelligence Suite can transform your organization & see how to stay up-to-date with your most crucial business metrics using Power BI!
Pains and Needs in the Marketplace- BI/Analytics Expert, Jamal Syed
Why Microsoft BI & Analytics? How it can help you now.
Business intelligence dashboards and data visualizations serve as a launching point for better business decision making. Learn how you can leverage Power BI to easily build reports and dashboards with interactive visualizations.
Building a New Platform for Customer Analytics Caserta
Caserta Concepts and Databricks partner up to bring you this insightful webinar on how a business can choose from all of the emerging big data technologies to figure out which one best fits their needs.
Organizations have been collecting, storing, and accessing data from the beginning of computerization. Insights gained from analyzing the data enable them to identify new opportunities, improve core processes, enable continuous learning and differentiation, remain competitive, and thrive in an increasingly challenging business environment.
The well-established data architecture, consisting of a data warehouse, fed from multiple operational data stores, and fronted by BI tools, has served most organizations well. However, over the last two decades, with the explosion of internet-scale data, and the advent of new approaches to data and computational processing, this tried-and-true data architecture has come under strain, and has created both challenges and opportunities for organizations.
In this green paper, we will discuss modern approaches to data architecture that have evolved to address these challenges and provide a framework for companies to build a data architecture and better adapt to increasing demands of the modern business environment. This discussion of data architecture will be tied to the Data Maturity Journey introduced in EQengineered’s June 2021 green paper on Data Modernization.
During this Big Data Warehousing Meetup, Caserta Concepts and Databricks addressed the number one operational and analytic goal of nearly every organization today – to have complete view of every customer. Customer Data Integration (CDI) must be implemented to cleanse and match customer identities within and across various data systems. CDI has been a long-standing data engineering challenge, not just one of logic and complexity but also of performance and scalability.
The speakers brought together best practice techniques with Apache Spark to achieve complete CDI.
Speakers:
Joe Caserta, President, Caserta Concepts
Kevin Rasmussen, Big Data Engineer, Caserta Concepts
Vida Ha, Lead Solutions Engineer, Databricks
The sessions covered a series of problems that are adequately solved with Apache Spark, as well as those that are require additional technologies to implement correctly. Topics included:
· Building an end-to-end CDI pipeline in Apache Spark
· What works, what doesn’t, and how do we use Spark we evolve
· Innovation with Spark including methods for customer matching from statistical patterns, geolocation, and behavior
· Using Pyspark and Python’s rich module ecosystem for data cleansing and standardization matching
· Using GraphX for matching and scalable clustering
· Analyzing large data files with Spark
· Using Spark for ETL on large datasets
· Applying Machine Learning & Data Science to large datasets
· Connecting BI/Visualization tools to Apache Spark to analyze large datasets internally
The speakers also touched on data governance, on-boarding new data rapidly, how to balance rapid agility and time to market with critical decision support and customer interaction. They also shared examples of problems that Apache Spark is not optimized for.
For more information on the services offered by Caserta Concepts, visit our website: http://casertaconcepts.com/
DataOps: Nine steps to transform your data science impact Strata London May 18Harvinder Atwal
According to Forrester Research, only 22% of companies are currently seeing a significant return from data science expenditures. Most data science implementations are high-cost IT projects, local applications that are not built to scale for production workflows, or laptop decision support projects that never impact customers. Despite this high failure rate, we keep hearing the same mantra and solutions over and over again. Everybody talks about how to create models, but not many people talk about getting them into production where they can impact customers.
Harvinder Atwal offers an entertaining and practical introduction to DataOps, a new and independent approach to delivering data science value at scale, used at companies like Facebook, Uber, LinkedIn, Twitter, and eBay. The key to adding value through DataOps is to adapt and borrow principles from Agile, Lean, and DevOps. However, DataOps is not just about shipping working machine learning models; it starts with better alignment of data science with the rest of the organization and its goals. Harvinder shares experience-based solutions for increasing your velocity of value creation, including Agile prioritization and collaboration, new operational processes for an end-to-end data lifecycle, developer principles for data scientists, cloud solution architectures to reduce data friction, self-service tools giving data scientists freedom from bottlenecks, and more. The DataOps methodology will enable you to eliminate daily barriers, putting your data scientists in control of delivering ever-faster cutting-edge innovation for your organization and customers.
Analytics in a Day Ft. Synapse Virtual WorkshopCCG
Say goodbye to data silos! Analytics in a Day will simplify and accelerate your journey towards the modern data warehouse. Join CCG and Microsoft for a half-day virtual workshop, hosted by James McAuliffe.
This presentation contains an introduction of tableau software and in a particular way in Connecting to data, Visual Analytics, Dashboard and stories, Calculations, Mapping and Tableau Online & Competitors.
Over 90% of today’s data has been generated in the last two years, and growth rates continue to climb. In this session, we’ll step through challenges and best practices with data capturing, how to derive meaningful insights to help predict the future, and common pitfalls in data analysis.
Come discover how integrated solutions involving Amazon S3, AWS Glue, Amazon Redshift, Amazon Athena, Amazon EMR, Amazon Kinesis, and Amazon Machine Learning/Deep Learning result in effective data systems for data scientists and business users, alike.
A modern, flexible approach to Hadoop implementation incorporating innovation...DataWorks Summit
A modern, flexible approach to Hadoop implementation incorporating innovations from HP Haven
Jeff Veis
Vice President
HP Software Big Data
Gilles Noisette
Master Solution Architect
HP EMEA Big Data CoE
Afternoons with Azure - Power BI and Azure Analysis ServicesCCG
See how Microsoft Power BI and Azure Analysis Services are influencing the BI and analytics market. Journey through data structures and fundamentals for setting up your next dashboard initiative.
Interested in learning more? Click ccganalytics.com/resources for more or call (813) 265-3239.
Analytics in a Day Ft. Synapse Virtual WorkshopCCG
Say goodbye to data silos! Analytics in a Day will simplify and accelerate your journey towards the modern data warehouse. Join CCG and Microsoft for a half-day virtual workshop, hosted by James McAuliffe.
Accelerating Innovation with Unified Analytics with Ali GhodsiDatabricks
Today at the 10th Spark Summit, Databricks CEO & Co-founder revealed Databricks Serverless, a new initiative to offer serverless computing for complex data science and Apache Spark workloads. Databricks Serverless is the first product to offer a serverless API for Apache Spark, greatly simplifying and unifying data science and big data workloads for both end-users and DevOps.
Learn how the Microsoft Cortana Intelligence Suite can transform your organization & see how to stay up-to-date with your most crucial business metrics using Power BI!
Pains and Needs in the Marketplace- BI/Analytics Expert, Jamal Syed
Why Microsoft BI & Analytics? How it can help you now.
Business intelligence dashboards and data visualizations serve as a launching point for better business decision making. Learn how you can leverage Power BI to easily build reports and dashboards with interactive visualizations.
Building a New Platform for Customer Analytics Caserta
Caserta Concepts and Databricks partner up to bring you this insightful webinar on how a business can choose from all of the emerging big data technologies to figure out which one best fits their needs.
Organizations have been collecting, storing, and accessing data from the beginning of computerization. Insights gained from analyzing the data enable them to identify new opportunities, improve core processes, enable continuous learning and differentiation, remain competitive, and thrive in an increasingly challenging business environment.
The well-established data architecture, consisting of a data warehouse, fed from multiple operational data stores, and fronted by BI tools, has served most organizations well. However, over the last two decades, with the explosion of internet-scale data, and the advent of new approaches to data and computational processing, this tried-and-true data architecture has come under strain, and has created both challenges and opportunities for organizations.
In this green paper, we will discuss modern approaches to data architecture that have evolved to address these challenges and provide a framework for companies to build a data architecture and better adapt to increasing demands of the modern business environment. This discussion of data architecture will be tied to the Data Maturity Journey introduced in EQengineered’s June 2021 green paper on Data Modernization.
During this Big Data Warehousing Meetup, Caserta Concepts and Databricks addressed the number one operational and analytic goal of nearly every organization today – to have complete view of every customer. Customer Data Integration (CDI) must be implemented to cleanse and match customer identities within and across various data systems. CDI has been a long-standing data engineering challenge, not just one of logic and complexity but also of performance and scalability.
The speakers brought together best practice techniques with Apache Spark to achieve complete CDI.
Speakers:
Joe Caserta, President, Caserta Concepts
Kevin Rasmussen, Big Data Engineer, Caserta Concepts
Vida Ha, Lead Solutions Engineer, Databricks
The sessions covered a series of problems that are adequately solved with Apache Spark, as well as those that are require additional technologies to implement correctly. Topics included:
· Building an end-to-end CDI pipeline in Apache Spark
· What works, what doesn’t, and how do we use Spark we evolve
· Innovation with Spark including methods for customer matching from statistical patterns, geolocation, and behavior
· Using Pyspark and Python’s rich module ecosystem for data cleansing and standardization matching
· Using GraphX for matching and scalable clustering
· Analyzing large data files with Spark
· Using Spark for ETL on large datasets
· Applying Machine Learning & Data Science to large datasets
· Connecting BI/Visualization tools to Apache Spark to analyze large datasets internally
The speakers also touched on data governance, on-boarding new data rapidly, how to balance rapid agility and time to market with critical decision support and customer interaction. They also shared examples of problems that Apache Spark is not optimized for.
For more information on the services offered by Caserta Concepts, visit our website: http://casertaconcepts.com/
DataOps: Nine steps to transform your data science impact Strata London May 18Harvinder Atwal
According to Forrester Research, only 22% of companies are currently seeing a significant return from data science expenditures. Most data science implementations are high-cost IT projects, local applications that are not built to scale for production workflows, or laptop decision support projects that never impact customers. Despite this high failure rate, we keep hearing the same mantra and solutions over and over again. Everybody talks about how to create models, but not many people talk about getting them into production where they can impact customers.
Harvinder Atwal offers an entertaining and practical introduction to DataOps, a new and independent approach to delivering data science value at scale, used at companies like Facebook, Uber, LinkedIn, Twitter, and eBay. The key to adding value through DataOps is to adapt and borrow principles from Agile, Lean, and DevOps. However, DataOps is not just about shipping working machine learning models; it starts with better alignment of data science with the rest of the organization and its goals. Harvinder shares experience-based solutions for increasing your velocity of value creation, including Agile prioritization and collaboration, new operational processes for an end-to-end data lifecycle, developer principles for data scientists, cloud solution architectures to reduce data friction, self-service tools giving data scientists freedom from bottlenecks, and more. The DataOps methodology will enable you to eliminate daily barriers, putting your data scientists in control of delivering ever-faster cutting-edge innovation for your organization and customers.
Analytics in a Day Ft. Synapse Virtual WorkshopCCG
Say goodbye to data silos! Analytics in a Day will simplify and accelerate your journey towards the modern data warehouse. Join CCG and Microsoft for a half-day virtual workshop, hosted by James McAuliffe.
This presentation contains an introduction of tableau software and in a particular way in Connecting to data, Visual Analytics, Dashboard and stories, Calculations, Mapping and Tableau Online & Competitors.
This slideshow walks you through the steps required to connect Setmore to Zendesk. This integration enables you to book appointments right from the Zendesk dashboard.
We have a team of professionals in joomla web development, wordpress web development, PHP web development, magento web development, drupal web development, Codeigniter, Zend, Laravel, Yii, Symfony, Cakephp, Prestashop, Opencart, Moodle.
Salesforce, Google, Facebook, NimbleUser -- To be sure all of our customers are using all of our best work, software as a service peeps rollout software fixes continuously, and major versions several times a year.
Learn what best practices we use to ensure each release is better than the last, with take-away pointers as to how you can use similar techniques in your own organization.
Sicherung der Bildqualität in röntgendiagnostischen Betriebenqubyx
Das PerfectLum Suite medizinische Display QS-Tool führt Konstanz- und Abnahmeprüfungen nach der neuen DIN 6868-157 durch und vereinfacht das Testverfahren erheblich. Die Qualitätssicherung von medizinischen Displays wird einfacher als jemals zuvor.
Accelerate Self-Service Analytics with Data Virtualization and VisualizationDenodo
Watch full webinar here: https://bit.ly/39AhUB7
Enterprise organizations are shifting to self-service analytics as business users need real-time access to holistic and consistent views of data regardless of its location, source or type for arriving at critical decisions.
Data Virtualization and Data Visualization work together through a universal semantic layer. Learn how they enable self-service data discovery and improve performance of your reports and dashboards.
In this session, you will learn:
- Challenges faced by business users
- How data virtualization enables self-service analytics
- Use case and lessons from customer success
- Overview of the highlight features in Tableau
Analytics thought-leader Thomas Davenport and leading industry experts discuss how—and why—organizations like yours use business analytics to empower more timely and precise decisions by bringing new insights into daily operations.
Empowering you - Power BI, Power Platform & AI BuilderRui Quintino
Slides for the "Microsoft Empowering You" webinar about Power BI, Power Apps, Power Automate & AI Builder by DevScope.
Explore how Power Platform & AI Builder can enrich your Power BI experience.
Watch the full session at https://youtu.be/IhwiESvFaxg
(English subtitles available)
Purpose of this presentation is to highlight how end to end machine learning looks like in real world enterprise. This is to provide insight to aspiring data scientist who have been through courses or education in ML that mostly focus on ML algorithms and not end to end pipeline.
Architecture and components mentioned in Slide 11 will be discussed in detailed in series of post on LinkedIn over the course of next few month
To get updates on this follow me on LinkedIn or search/follow hashtag #end2endDS. Post will be active in August 2019 and will be posted till September 2019
What is the Best Data Visualization Tool: Power BI or Tableau?Digital Dialogue
Business Intelligence (BI) is a vital field of computer science that involves a range of processes and technologies aimed at gathering, storing, analyzing, and providing access to data to enhance business decision-making. Read more here!
Think of big data as all data, no matter what the volume, velocity, or variety. The simple truth is a traditional on-prem data warehouse will not handle big data. So what is Microsoft’s strategy for building a big data solution? And why is it best to have this solution in the cloud? That is what this presentation will cover. Be prepared to discover all the various Microsoft technologies and products from collecting data, transforming it, storing it, to visualizing it. My goal is to help you not only understand each product but understand how they all fit together, so you can be the hero who builds your companies big data solution.
Global Power Platform 2022 How to set up help desk solution within Micros...Aroh Shukla
📌Digital Transformation with #MicrosoftTeams
📌What & Why #PowerPlatform for #lowcode code solutions
📌When to use #MicrosoftDataverse teams
📌 Microsoft Dataverse for Teams – #Techincal Specs
📌Business Case: Creating a #HelpDesk solution within #MicrosoftTeams from scratch
This presentation briefly explains the following topics:
Why is Data Analytics important?
What is Data Analytics?
Top Data Analytics Tools
How to Become a Data Analyst?
Overview of tools for data analysis and visualisation (2021)Marié Roux
This presentation gives a summary of important tools for data analysis and visualisation, for example to clean your data, do statistical analysis, visualisation application and programmes, qualitative analysis, GIS, temporal analysis, network analysis, etc.
LoQutus helps organisations to innovate with analytics and to get insights with data visualisation. We also build large scale data layers to enable interaction with core data, and develop data-driven applications to deliver the insights our customers need. During this session we’ll share what we have learned along the way. We’ll show you our framework for self-service analytics & insights, and some successful case studies.
Big Data for Data Scientists - Info SessionWeCloudData
In this talk, WeCloudData introduces the Hadoop/Spark ecosystem and how businesses use big data tools and platforms. For more detail about WeCloudData's big data for data scientist course please visit: https://weclouddata.com/data-science/
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
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.
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.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
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.
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.
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/
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.
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.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
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.
2. MEETUP SINGAPORE 2013 AGENDA
09:15 - 09:30 AM Welcome and Key Note
Can you imagine what you can achieve with BellaDati as a data analyst?
Simon Tan
Regional Director (Asia)
09:30 - 10:15 AM Business Data Mashups and Agile Reporting
Data on your fingertip or how to create first reports in 15 minutes.
Peter Fedorocko
Data Analyst (Europe)
10:15 - 10:45 AM Collaboration and Sharing
Glance to BellaDati native applications and mobile reporting.
Aislinn Chen
Data Analyst (Asia)
10:45 - 11:00 AM Break
11:00 - 11:45 AM BellaApps
Don't start from zero, be analytical hero! Ready-made templates for your industry.
Aislinn Chen
Data Analyst (Asia)
11:45 - 01:00 PM Advanced Analytics with BellaDati
Under the hood session including BellaDati Data Warehouse and ETL capabilities.
Peter Fedorocko
Data Analyst (Europe)
01:00 PM Lunch
3. Contacts
Simon Tan
Regional Director (Asia)
Mobile: +65 9857 4993
Office: +65 6274 1260
Email: simon.tan@belladati.com
Aislinn Chen
Data Analyst (Asia)
Mobile: +65 8446 7617
Office: +65 6274 1260
Email: aislinn.chenya@belladati.com
Peter Fedorocko
Data Analyst (Europe)
Mobile: +420 702 023 558
Office: +420 255 725 405
Email: peter.fedorocko@belladati.com
5. Beautiful Data
BellaDati agile analytics and reporting tool reinvents the way how business
users interact with business data. All you need is a web browser or a
mobile device.
Martin Trgi a, BellaDati Founder & CEO
6. Europe
(Prague)
USA
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Headquarters
Branch
Partner
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9. BellaDati Business Intelligence
Agile Analytics
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Web / Mobile
Built with collaboration and mobility in its DNA
Cloud / On-Premise
Where tradition meets progress
10. BellaDati Data Discovery Process
From raw data to insights in 3 simple steps
1
2
3
Warehouse
Reports
Dashboards
ETLs
Formulas
Collaboration
Publishing
11. Publishing Workflow
From Data Sets to Reports to Dashboards
Set
Set
Set
Joined
Data Sets
Reports
Dashboards
240
+83 %
80.9 %
+83 %
80.9 %
240
+83 %
12. BellaDati Views and Dashlets
240 chart variations, tables, KPI labels, and GEO maps
240
+83 %
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Designed for managers and execs
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Mixture of views from various reports
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Drill-through directly to reports
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Designed for data analysts
Turning data into insights
Mixture of various view types
Numerous analytical functions
What-if and scenario modeling
Various collaboration functions
15. Attributes and Indicators
How to work with dimensions and measures
Name (A) Bred (A) Weight (I) Price (I)
Bimbo Elephant 7000 56,000
Emily Monkey 60 23,000
Lucky Kangaroo 110 34,000
18. Sharing
Export as pdf, ppt, excel, png
Schedule emails automatically
Embed into web portals and applications
Publish to dashboard
Share with other users
20. Permission Options
Single Row Precise Sharing and Access
Data Sets
Reports
Dashboards
User / User Group
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User / User Group /
Global Permission
View / Edit
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Full or Only Subset
21. Native iOS & Android Apps
Online/offline reports & dashboards
Fully-featured interface
Data harvesting forms
Free download
23. Tool is Not Enough …
How could I avoid long report development time and service costs?
What kind of measures and KPIs should I observe in my business?
What if I am not an experienced data analyst?
What kind of analyses do industry leaders and competitors look at?
What if I don’t know what kind of data do I need?
How should I design my reports to be comprehensive and user friendly?
24. BellaApps
Industry related packages of reports and dashboards with
sample data, which significantly lighten and decrease analysts
efforts when developing BI solutions.
25. “How could I avoid long report
development time and
service costs?”
?
26. Speed Up Deployment
Download and start to explore immediately
belladati.com/apps
FREE download
Search by keywords
.bdt package
Easy import wizard
27. “What kind of measures and KPIs
should I observe in my
business?”
?
28. Best Practices KPI
Researched industry top measures and indicators
Hospitality
Gaming
Project Management
Transportation
DAU/MAU (%)
EAC
PPS
REVPAR
29. “What if I am not an
experienced data analyst?”
?
30. “What kind of analyses do
industry leaders and
competitors look at?”
?
32. “What if I don’t know what
kind of data do I need?”
?
33. General Data Model
Recommended data structures, dimensions and measures
Common database schemas
Industry standard sources or public data sets
Facebook, Twitter, Google, Salesforce API, MS Project, POS, MICROS, MoE
Mandatory and arbitrary fields
Inspiration for new dimensions and measures
Suggested relations and cardinalities
Modeled data marts and joins
Usual transformation scripts
Handling dates, intervals, clustering
Possible drill-downs
34.
35. “How should I design my reports
to be comprehensive and user
friendly?”
?
36. Best Practices in Report Design
Data-oriented visualizations and styles
Data discovery report layout
Recommended view types
Suggested chart combinations
Predefined conditional formats
Adjusted view appearances
37. Best Practices in Report Design
Recommended view types
Data-oriented visualizations and styles
38. Best Practices in Report Design
Data-oriented visualizations and styles
Data discovery report layout
Recommended view types
Suggested chart combinations
Predefined conditional formats
Adjusted view appearances
43. BellaDati Data Discovery Process
From raw data to insights in 3 simple steps
1
2
3
Warehouse
Reports
Dashboards
ETLs
Formulas
Collaboration
Publishing
46. ETLs & data warehouse
Almighty proprietary scripting language and fully-fledged warehouse
value
adult
junior
group
if
> 21
< 21
return
=
string
47. Analyzing Twitter Data
The most dedicated followers and their reach
My most retweeted tweets
Best #hastag combinations
The most effective tweeting time during the day
49. Sentiment Analysis in MongoDB
1,000 tweets about Tesla stored in MongoDB
Index “text” field for Full Text Search capabilities
Run sentiment analysis (best, top, amazing, incredible, perfect)
Report in BellaDati
50. MEETUP SINGAPORE 2013 AGENDA
09:15 - 09:30 AM Welcome and Key Note
Can you imagine what you can achieve with BellaDati as a data analyst?
Simon Tan
Regional Director (Asia)
09:30 - 10:15 AM Business Data Mashups and Agile Reporting
Data on your fingertip or how to create first reports in 15 minutes.
Peter Fedorocko
Data Analyst (Europe)
10:15 - 10:45 AM Collaboration and Sharing
Glance to BellaDati native applications and mobile reporting.
Aislinn Chen
Data Analyst (Asia)
10:45 - 11:00 AM Break
11:00 - 11:45 AM BellaApps
Don't start from zero, be analytical hero! Ready-made templates for your industry.
Aislinn Chen
Data Analyst (Asia)
11:45 - 01:00 PM Advanced Analytics with BellaDati
Under the hood session including BellaDati Data Warehouse and ETL capabilities.
Peter Fedorocko
Data Analyst (Europe)
01:00 PM Lunch