CHARACTERISTICS of Big Data
BENEFITS OF BIG DATA
STORING BIG DATA
PROCESSING BIG DATA
WHY BIG DATA
Big Data
Architecture
TOOLS USED IN BIG DATA ANALYSIS
data processing
DISTRIBUTED STORAGE
TYPES OF TOOLS USED IN BIG DATA
APPLICATION OF BIG DATA
Hadoop World 2011: Extending Enterprise Data Warehouse with Hadoop - Jonathan...Cloudera, Inc.
Hadoop provides the ability to extract business intelligence from extremely large, heterogeneous data sets that were previously impractical to store and process in traditional data warehouses. The challenge now is in bridging the gap between the data warehouse and Hadoop. In this talk we’ll discuss some steps that Orbitz has taken to bridge this gap, including examples of how Hadoop and Hive are used to aggregate data from large data sets, and how that data can be combined with relational data to create new reports that provide actionable intelligence to business users.
Oracle NoSQL DB & InfiniteGraph - Trends in Big Data and Graph TechnologyInfiniteGraph
Join Oracle NoSQL DB and InfiniteGraph development teams in a discussion of the latest trends in Big Data and Graph Technology. Learn what Oracle’s view of Big Data is and how Oracle NoSQL Database technologies enable you to manage vast amounts of real-time key-value data.
Top Big data Analytics tools: Emerging trends and Best practicesSpringPeople
For many IT experts, big data analytics tools and technologies are now a top priority. Let's find out the top big data analytics tools in this slide to initialize and advance the process of big data analysis.
Polestar we hope to bring the power of data to organizations across industries helping them analyze billions of data points and data sets to provide real-time insights, and enabling them to make critical decisions to grow their business.
Hadoop World 2011: Extending Enterprise Data Warehouse with Hadoop - Jonathan...Cloudera, Inc.
Hadoop provides the ability to extract business intelligence from extremely large, heterogeneous data sets that were previously impractical to store and process in traditional data warehouses. The challenge now is in bridging the gap between the data warehouse and Hadoop. In this talk we’ll discuss some steps that Orbitz has taken to bridge this gap, including examples of how Hadoop and Hive are used to aggregate data from large data sets, and how that data can be combined with relational data to create new reports that provide actionable intelligence to business users.
Oracle NoSQL DB & InfiniteGraph - Trends in Big Data and Graph TechnologyInfiniteGraph
Join Oracle NoSQL DB and InfiniteGraph development teams in a discussion of the latest trends in Big Data and Graph Technology. Learn what Oracle’s view of Big Data is and how Oracle NoSQL Database technologies enable you to manage vast amounts of real-time key-value data.
Top Big data Analytics tools: Emerging trends and Best practicesSpringPeople
For many IT experts, big data analytics tools and technologies are now a top priority. Let's find out the top big data analytics tools in this slide to initialize and advance the process of big data analysis.
Polestar we hope to bring the power of data to organizations across industries helping them analyze billions of data points and data sets to provide real-time insights, and enabling them to make critical decisions to grow their business.
Visually transform and blend your data in Hadoop. Kyvos is disrupting the Business Intelligence and Big Data Analytics market. Kyvos has built an unprecedented OLAP-on-Hadoop technology that is massively scalable and responds to queries in record-short time in the order of single-digit seconds.
Organizations want to use all the data available to them for analytics. But they’ve been thwarted by data silos and top-down, mostly manual approaches to unifying data for analytics. A new approach, based on machine learning combined with human expert sourcing, dramatically speeds analytics’ time-to-value. It automates data unification end-to end: from finding and connecting diverse data to interactive consumption by virtually anyone using any analytic tool.
Orit Alul (Sr. Solutions Architect) @ AWS:
As data is growing at an exponential rate, we are interested not only in being able to analyze the past or present but also in predicting the future!
In this session, Orit will talk about the power of data combined with machine learning.
Building a highly scalable and flexible data architecture in the cloud to collect, process, and analyze data, in order to get timely insights and react quickly to new information.
In addition, Orit will present best practices, performance and optimization tips for building a Data Lake in the cloud.
IACT Global provides Big Data Certification in support with IBM Big Insight.To know more about the course connect with the counselors of IACT Global
http://www.iactglobal.in/course.aspx?coursename=big-data-vc
In this presentation, Stephanie McReynolds from ClearStory Data describes the company's Data Intelligence Platform.
"Data access and analysis were once relegated to specialists, quants or statisticians. Today, competitiveness on the front lines of business is dictated by the speed of data access and the quality of informed decision-making. ClearStory is an integrated Application & Platform speeding analysis across internal & external data."
Learn more: http://www.clearstorydata.com
Watch the video presentation: http://wp.me/p3RLEV-1uI
Big Data Explained - Case study: Website Analyticsdeep.bi
This is an example case study showing what big data can mean for a small website that generates just 5000 visits a day.
It all depends on what we want do get from our assets like website traffic. If we only measure the number of people who visited our site, then we do not need to worry about “big data”. We just have to count total visits (5000 a day, 150 000 monthly).
But by using just the simple measure we know nothing about our visitors / customers. So, it pretty useless.
On the following slides we present what a website owner can gain from advanced website analytics and why big data technologies are recommended.
Benchmarking Digital Readiness: Moving at the Speed of the MarketApigee | Google Cloud
Moving at the new speed of the market: benchmarking your digital readiness with real-world data
Companies are under pressure to move at the speed of digital natives. Benchmark your organization against empirical data and real-world case studies to see where you stand and what you can do to jumpstart your digital readiness.
Jump start into 2013 by exploring how Big Data can transform your business. Listen to Infochimps Director of Product, Tim Gasper, cover the leading use cases for 2013, sharing where the data comes from, how the systems are architected and most importantly, how they drive business insights for data-driven decisions.
Kyvos Insights is unlocking the power of Big Data analytics with “OLAP on Hadoop” technology.
Kyvos is a solution which brings a new model of online analytical processing (OLAP) to Big Data that allows users to visually create and analyze cubes on Hadoop. This technology enables users to easily derive valuable insights for better, more informed business decisions through previously unattainable levels of scalability and interactivity.
During this Big Data Warehousing Meetup, we discussed how graph databases work, shared some real world use cases, and showed a live demo of the world’s leading graph database, Neo4J. Pitney Bowes demonstrated their new MDM product developed on a graph database.
For more information, check out the other slides from this meetup or visit our website at www.casertaconcepts.com
Open Source Framework for Deploying Data Science Models and Cloud Based Appli...ETCenter
Next generation applications address more sophisticated questions that go beyond 'What happened?' by using Machine Learning/Statistical modelling to answer 'Why?' and 'What will happen next? Data insights can be easily deployed and rapidly delivered to the decision makers via cloud based applications. This framework focuses on technologies available for the entire data workflow from ingestion and modeling to cloud deployment; Hadoop, MADlib, Python, R, CloudFoundry, etc. This presentation will also include examples of how this framework and innovative Data Science techniques have been applied across diverse business units within Media, including pricing analyses for ad optimization and predicting viewership.
Visually transform and blend your data in Hadoop. Kyvos is disrupting the Business Intelligence and Big Data Analytics market. Kyvos has built an unprecedented OLAP-on-Hadoop technology that is massively scalable and responds to queries in record-short time in the order of single-digit seconds.
Organizations want to use all the data available to them for analytics. But they’ve been thwarted by data silos and top-down, mostly manual approaches to unifying data for analytics. A new approach, based on machine learning combined with human expert sourcing, dramatically speeds analytics’ time-to-value. It automates data unification end-to end: from finding and connecting diverse data to interactive consumption by virtually anyone using any analytic tool.
Orit Alul (Sr. Solutions Architect) @ AWS:
As data is growing at an exponential rate, we are interested not only in being able to analyze the past or present but also in predicting the future!
In this session, Orit will talk about the power of data combined with machine learning.
Building a highly scalable and flexible data architecture in the cloud to collect, process, and analyze data, in order to get timely insights and react quickly to new information.
In addition, Orit will present best practices, performance and optimization tips for building a Data Lake in the cloud.
IACT Global provides Big Data Certification in support with IBM Big Insight.To know more about the course connect with the counselors of IACT Global
http://www.iactglobal.in/course.aspx?coursename=big-data-vc
In this presentation, Stephanie McReynolds from ClearStory Data describes the company's Data Intelligence Platform.
"Data access and analysis were once relegated to specialists, quants or statisticians. Today, competitiveness on the front lines of business is dictated by the speed of data access and the quality of informed decision-making. ClearStory is an integrated Application & Platform speeding analysis across internal & external data."
Learn more: http://www.clearstorydata.com
Watch the video presentation: http://wp.me/p3RLEV-1uI
Big Data Explained - Case study: Website Analyticsdeep.bi
This is an example case study showing what big data can mean for a small website that generates just 5000 visits a day.
It all depends on what we want do get from our assets like website traffic. If we only measure the number of people who visited our site, then we do not need to worry about “big data”. We just have to count total visits (5000 a day, 150 000 monthly).
But by using just the simple measure we know nothing about our visitors / customers. So, it pretty useless.
On the following slides we present what a website owner can gain from advanced website analytics and why big data technologies are recommended.
Benchmarking Digital Readiness: Moving at the Speed of the MarketApigee | Google Cloud
Moving at the new speed of the market: benchmarking your digital readiness with real-world data
Companies are under pressure to move at the speed of digital natives. Benchmark your organization against empirical data and real-world case studies to see where you stand and what you can do to jumpstart your digital readiness.
Jump start into 2013 by exploring how Big Data can transform your business. Listen to Infochimps Director of Product, Tim Gasper, cover the leading use cases for 2013, sharing where the data comes from, how the systems are architected and most importantly, how they drive business insights for data-driven decisions.
Kyvos Insights is unlocking the power of Big Data analytics with “OLAP on Hadoop” technology.
Kyvos is a solution which brings a new model of online analytical processing (OLAP) to Big Data that allows users to visually create and analyze cubes on Hadoop. This technology enables users to easily derive valuable insights for better, more informed business decisions through previously unattainable levels of scalability and interactivity.
During this Big Data Warehousing Meetup, we discussed how graph databases work, shared some real world use cases, and showed a live demo of the world’s leading graph database, Neo4J. Pitney Bowes demonstrated their new MDM product developed on a graph database.
For more information, check out the other slides from this meetup or visit our website at www.casertaconcepts.com
Open Source Framework for Deploying Data Science Models and Cloud Based Appli...ETCenter
Next generation applications address more sophisticated questions that go beyond 'What happened?' by using Machine Learning/Statistical modelling to answer 'Why?' and 'What will happen next? Data insights can be easily deployed and rapidly delivered to the decision makers via cloud based applications. This framework focuses on technologies available for the entire data workflow from ingestion and modeling to cloud deployment; Hadoop, MADlib, Python, R, CloudFoundry, etc. This presentation will also include examples of how this framework and innovative Data Science techniques have been applied across diverse business units within Media, including pricing analyses for ad optimization and predicting viewership.
Extract business value by analyzing large volumes of multi-structured data from various sources such as databases, websites, blogs, social media, smart sensors...
Big Data Fabric for At-Scale Real-Time Analysis by Edwin RobbinsData Con LA
Abstract:- Companies are adopting big data for performing high-velocity real-time analytics on very large volumes of data to enable rapid analysis for business users using self-service and never-before-realized use cases. However, such projects have yielded limited value because these big data systems have become siloed from the rest of the enterprise systems holding critical business operational data. Big Data Fabric is a modern data architecture combining data virtualization, data prep, and lineage capabilities to seamlessly integrate at scale these huge, siloed volumes of structured and unstructured data with other enterprise data assets. This presentation will demonstrate with proven customer case studies in big data and IoT about the value of using big data fabric as a logical data lake for big data analytics.
My slides on how to use cloud as a data platform at BigDataWeek 2013 Romania
http://www.eurocloud.ro/en/events/all-there-is-to-know-about-big-data/#.UXZFaUDvlVI
Hadoop and the Data Warehouse: When to Use Which DataWorks Summit
In recent years, Apache™ Hadoop® has emerged from humble beginnings to disrupt the traditional disciplines of information management. As with all technology innovation, hype is rampant, and data professionals are easily overwhelmed by diverse opinions and confusing messages.
Even seasoned practitioners sometimes miss the point, claiming for example that Hadoop replaces relational databases and is becoming the new data warehouse. It is easy to see where these claims originate since both Hadoop and Teradata® systems run in parallel, scale up to enormous data volumes and have shared-nothing architectures. At a conceptual level, it is easy to think they are interchangeable, but the differences overwhelm the similarities. This session will shed light on the differences and help architects, engineering executives, and data scientists identify when to deploy Hadoop and when it is best to use MPP relational database in a data warehouse, discovery platform, or other workload-specific applications.
Two of the most trusted experts in their fields, Steve Wooledge, VP of Product Marketing from Teradata and Jim Walker of Hortonworks will examine how big data technologies are being used today by practical big data practitioners.
Logical Data Warehouse and Data Lakes can play a role in many different type of projects and, in this presentation, we will look at some of the most common patterns and use cases. Learn about analytical and big data patterns as well as performance considerations. Example implementations will be discussed for each pattern.
- Architectural patterns for logical data warehouse and data lakes.
- Performance considerations.
- Customer use cases and demo.
This presentation is part of the Denodo Educational Seminar, and you can watch the video here goo.gl/vycYmZ.
Creating a Next-Generation Big Data ArchitecturePerficient, Inc.
If you’ve spent time investigating Big Data, you quickly realize that the issues surrounding Big Data are often complex to analyze and solve. The sheer volume, velocity and variety changes the way we think about data – including how enterprises approach data architecture.
Significant reduction in costs for processing, managing, and storing data, combined with the need for business agility and analytics, requires CIOs and enterprise architects to rethink their enterprise data architecture and develop a next-generation approach to solve the complexities of Big Data.
Creating the data architecture while integrating Big Data into the heart of the enterprise data architecture is a challenge. This webinar covered:
-Why Big Data capabilities must be strategically integrated into an enterprise’s data architecture
-How a next-generation architecture can be conceptualized
-The key components to a robust next generation architecture
-How to incrementally transition to a next generation data architecture
Transform your DBMS to drive engagement innovation with Big DataAshnikbiz
Erik Baardse and Ajit Gadge from EDB Postgres presented on how to transform your DBMS in order to drive digital business. How Postgres enables you to support a wider range of workloads with your relational database which opens the Big Data doors. They also cover EnterpriseDB’s Strategy around Big Data which focuses on 3 areas and finally last but not the last how to find money in IT with Big Data and digital transformation
Got data?… now what? An introduction to modern data platformsJamesAnderson599331
What are Data Analytics Platforms? What decision points are necessary in creating a modern, unified analytics data platform? What benefits are there to building your analytics data platform on Google Cloud Platform? Susan Pierce walks us through it all.
Retail banks are moving beyond the data warehouse and data lake and are now implementing data fabric architectures to address data discovery and integration challenges.
These are the slides from our webinar "Modern Data Discovery and Integration in Retail Banking" in which we explore the role of the data discovery and integration layer in a data fabric with special focus on evolution from data warehouse to data fabric, semantics and graph data models in data fabric and example use cases in retail banks and B2C financial services.
Exploring the Wider World of Big Data- Vasalis KapsalisNetAppUK
Every second of every day you hear about Electronic systems creating ever increasing quantities of data. Systems in markets such as finance, media, healthcare, government and scientific research feature strongly in the Big Data processing conversation. While extracting business value from Big Data is forecast to bring customer and competitive advantage and benefits. In this session hear Vas Kapsalis, NetApp Big Data Business Development Manager, discuss his views and experience on the wider world of Big Data.
I will discuss the growth of big data and the evolution of traditional enterprise models with addition of critical building blocks to handle the intense development of data in the enterprise. According to IDC approximations the size of the digital universe in 2011 will be 1.8 zettabytes. With statistics evolution beyond Moore’s Law the average enterprise will need to manage 50 times more information by the year 2020 while cumulative IT team by only 1.5 percent. With this challenge in mind, the combination of big data models into existing enterprise infrastructures is a critical element when seeing the addition of new big data building blocks while bearing in mind the efficiency.
Similar to Big data - Characteristics, types and Application (20)
Q1: What was the source of IKEA’s Competetive advantage at that time?
Q.2 IKEA’s expansion into Europe
Q.3 IKEA’s strategy prior to its missteps in North America.
Q4. IKEA’s strategy towards its suppliers
1. Current Size of Dairy Industry - Locally
World population and per capita consumption of dairy products, 2005, 2008–2016
IMPORTANCE OF DAIRY INDUSTRY TO THE INDIAN ECONOMY
Government to strengthen dairy industry to improve farmer income
Pittsburgh, Pennsylvania- 1869
Best selling brand of ketchup.
From 1906 it was produced without preservatives.
In 1907, Heinz started producing 13 million bottles of ketchup per year, exporting ketchup all over the world.
Heinz manufactures all of its American tomato ketchup at two plants: one in Fremont, Ohio, and another in Muscatine, Iowa.
Heinz ketchup is packaged in glass and plastic bottles of various sizes, as well as individual-serving condiment packets made of foil or plastic.
LABORATORY TEST MARKET RESEARCH DESIGN
SOLUTIONS TO THE CASE
SELECTED FINDINGS FROM THE LTM STUDY
Bitcoin-the underlying technology behind the success of cryptocurrencies is termed as Blockchain.
Creating cryptocurrencies is one of the applications of Blockchain technology. Similarly there are other applications of blockchain as well.
blockchain is literally just a chain of blocks
digital information (the “block”) stored in a public database (the “chain”).
Blocks” on the blockchain are made up of digital pieces of information.
• Blocks store information about transactions like the date, time,
• Blocks store information about who is participating in transactions(Instead of using your actual name, your purchase is recorded without any identifying information using a unique “digital signature,” sort of like a username.)
• Blocks store information that distinguishes them from other blocks.
Once an information is stored on a blockchain, it is extremely difficult to change or alter it. Each transaction on a blockchain is secured with a digital signature that proves its authenticity. Due to the use of encryption and digital signatures, the data stored on the blockchain is tamper-proof and cannot be changed.
MAIN CHARACTERS
AWARDS AND RECOGNITIONS
SYNOPSIS AS A JOURNEY MAP
LEADERSHIP QUALITIES
ANDY DUFRESNE
EMOTIONAL INTELLIGENCE
FRAMEWORK OF LEADERSHIP
WARDEN NORTON
CAPTAIN HADLEY
ELLIS BOYD
Let my people go surfing-Yvon Chouinard - A book reviewRiya Aseef
OVERVIEW OF THE BOOK
PRODUCT DESIGN PHILOSOPHY
PRODUCTION PHILOSOPHY
DISTRIBUTION PHILOSOPHY
MARKETING PHILOSOPHY
FINANCIAL PHILOSOPHY
HR PHILOSOPHY / CULTURE
MANAGEMENT PHILOSOPHY
MESSAGING HIERARCHY
BRAND RESONANCE PYRAMID : Brand Resonance Pyramid (Philip Kotler Summary) ... Establishing the totality of brand meaning in the minds of customers by strategically linking a host of tangible and intangible brand associations.
Starbucks owns nearly one-third of America’s coffee bars.
Almost all of Starbucks’ locations in North America are company-owned stores located in high-traffic, high-visibility settings such as retail centres, office buildings, and university campuses.
He also sold products through non-company-operated retail stores such as hotels, airlines, and restaurants.
Starbucks formed joint ventures to distribute a bottled Frappuccino thru Pepsi-Cola and an ice cream thru Dreyer’s Grand Ice Cream
Coca-cola and PepsiCo came together to refuse and reject the findings of CSE, claiming it to be unscientific and discriminatory.
ISDMA later confirmed that the soft drinks manufacturers strictly maintained all the norms.
American ambassador to India has cautioned that the bad reports would affect the American investments in India.
US government started withholding licenses to Indian banks.
Some newspapers and journals argued about the absence of clear direction from the Ministry of Health.
Edith - product development -advertisementRiya Aseef
BONE CONDUCTION HEADPHONES:
• Bone conduction technology delivers music through your cheekbones, ensuring ears remain completely open to hear ambient sounds.
• Although the sound quality and output is not an immersive experience, you can’t expect it to be as they don’t use earbuds. The speakers are inside the arms of the glasses, which sit on top of your ears. So while the sound isn’t amazing in quality, they do provide good sounding music while at the same time allowing you to hear your surroundings. Listening to music while running can be a safety concern for many runners
• Design ensures maximum situational awareness and comfort during long-term wear.
Market Share: Prestige is India’s brand leader in the kitchenware and appliances categories and commands a ~37% market share in pressure cooker category, 31% market share in the cookware category and ~10% market share in the appliances category.
ttk prestige
Market Share: Prestige is India’s brand leader in the kitchenware and appliances categories and commands a ~37% market share in pressure cooker category, 31% market share in the cookware category and ~10% market share in the appliances category.
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...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.
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofsAlex Pruden
This paper presents Reef, a system for generating publicly verifiable succinct non-interactive zero-knowledge proofs that a committed document matches or does not match a regular expression. We describe applications such as proving the strength of passwords, the provenance of email despite redactions, the validity of oblivious DNS queries, and the existence of mutations in DNA. Reef supports the Perl Compatible Regular Expression syntax, including wildcards, alternation, ranges, capture groups, Kleene star, negations, and lookarounds. Reef introduces a new type of automata, Skipping Alternating Finite Automata (SAFA), that skips irrelevant parts of a document when producing proofs without undermining soundness, and instantiates SAFA with a lookup argument. Our experimental evaluation confirms that Reef can generate proofs for documents with 32M characters; the proofs are small and cheap to verify (under a second).
Paper: https://eprint.iacr.org/2023/1886
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!
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.
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentations
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
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.
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.
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The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
2. BIG DATA
Next Big thing
in the IT world
Google, LinkedIn,
Facebook
Minimize timeCost reduction
3. Similar to ‘small data’ but bigger in size
Solve problems in a better way
Techniques, tools and architecture
Cannot be analyzed with traditional computing
techniques.
Eg: Walmart, Facebook
5. Cost Saving
Time reduction
New product development
Understanding market conditions
Control online reputation
BENEFITS OF BIG DATA
6. STORING BIG DATA
Analyzing your data
characteristics
• Selecting data sources
for analysis
• Eliminating redundant
data
• Establishing the role of
NoSQL
Overview of Big
Data storage
• Data models: key value,
graph, document,
column-family
• Hadoop Distributed File
System
7. SELECTING BIG DATA STORES
Choosing the
correct data stores
Moving code to data
Implementing
polyglot data store
solutions
Aligning
business
goals
8. PROCESSING BIG DATA
Integrating disparate
data stores
Mapping data to the
programming framework
Connecting and extracting
data from storage
Transforming data for
processing
Processing
Requirments
Volume
Velocity
Variety
Ambiguity
Complexity
Eg: Hadoop
9. WHY BIG DATA
Growth of Big Data is needed
• Increase of storage capacities
• Increase of processing power
• Availability of data(different data types)
• Every day we create 2.5 quintillion bytes of data; 90% of the data in
the world today has been created in the last two years alone
10. WHY BIG DATA
FB generates 10TB
daily
Twitter generates 7TB
of data
Daily
IBM claims 90% of
today’s stored data
was generated in just
the last two years.
35. APPLICATION OF BIG DATA
Banking –
University of florida
Media and
Entertainment
Healthcare- Taiwan
tracks corona using
Big data
Education –
University of
Tasmania
Manufacturing and
Natural Resources-
Predictive Model
Government- FDA
Retail and
Wholesale Industry
36. CONCLUSION
Big Data: A new competitive advantage for businesses
Crucial way to
outperform peers
Creation of new
service offerings
and the design of
future products
Create new growth
opportunities and
entirely new
categories of
companies
Various challenges
to overcome