Make your data talk

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The document discusses challenges with big data including its large size and complexity. It advocates for new approaches to work with data including visualizing data dynamics over time. Semantic data models and automated analysis of dependencies are needed to understand problems and their causality chains. Chatbots are proposed as a way to interact with monitoring tools by talking to machines like a human through natural language conversations. Advanced natural language processing is required for chatbots to be based on knowledge and guide interactions proactively.

Make your data talk
Alois Reitbauer, Dynatrace
@aloisreitbauer

Big data means really big amounts of
data

Problems tend to become complex
820 Billion dependencies
Network Problem
Mushroom cloud
effect

New paradigms require new
approaches to work with data

You build it, you run it.
Werner Vogels, CTO Amazon

The truth is often in how data
changes over time

Real world
discovery of
data and
dependencies

We need to teach machines what to
do with the data

Service slowdown
Automated Analysis of Problems

Service slowdown
Dependent services slow down
Automated Analysis of Problems

Service slow down
Dependent service slow down
Users are affected
Automated Analysis of Problems

Service slow down
Dependent service slow down
Users are affected
Analyze Dependencies
Automated Analysis of Problems

Service slow down
Dependent service slow down
Users are affected
Analyze Dependencies
Exclude non-relevant services
Automated Analysis of Problems

Service slow down
Dependent service slow down
Users are affected
Analyze Dependencies
Exclude non-relevant services
Follow causality chain
Automated Analysis of Problems

This becomes very powerful and
saves a lot of time

Going beyond traditional user
interfaces

The Turing test is a test of a machine's ability to
exhibit intelligent behavior equivalent to, or
indistinguishable from, that of a human. Alan
Turing proposed that a human evaluator would
judge natural language conversations between a
human and a machine that is designed to
generate human-like responses.

*Simple* bots are based on pattern
matching

Proactively guide interactions in the
right direction

Thank you!
Alois Reitbauer, Dynatrace
alois.reitbauer@ruxit.com
@aloisreitbauer

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This document discusses how cloud computing can benefit businesses. It uses an analogy comparing building a house versus renting an apartment to explain cloud computing versus traditional on-premise IT infrastructure. Some key benefits of cloud computing mentioned include cost elasticity, power elasticity, high availability, and long-term cost reduction. It provides examples of major companies that have adopted cloud computing and discusses options for businesses to transition to hybrid or private cloud models. The document recommends that businesses starting new should put all services in the cloud for maximum efficiency and simplification.

The Beginner's Guide to Data Lakes in AWS

Guillermo A. Fisher

AWS offers everything you need to deploy a secure and flexible data lake in the cloud. Discover how services like Amazon Simple Storage Service (Amazon S3) and Amazon Redshift can be used together to build and manage your own data lake, and how AWS Lake Formation makes it possible to set up a data lake in days. We walk through an example architecture together, covering everything from data storage to data analytics.

Take Action: The New Reality of Data-Driven Business

Inside Analysis

The Briefing Room with Dr. Robin Bloor and WebAction Live Webcast on July 23, 2014 Watch the archive: https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=360d371d3a49ad256942f55350aa0a8b The waiting used to be the hardest part, but not anymore. Today’s cutting-edge enterprises can seize opportunities faster than ever, thanks to an array of technologies that enable real-time responsiveness across the spectrum of business processes. Early adopters are solving critical business challenges by enabling the rapid-fire design, development and production of very specific applications. Functionality can range from improved customer engagement to dynamic machine-to-machine interactions. Register for this episode of The Briefing Room to learn from veteran Analyst Dr. Robin Bloor, who will tout a new era in data-driven organizations, and why a data flow architecture will soon be critical for industry leaders. He’ll be briefed by Sami Akbay of WebAction, who will showcase his company’s real-time data management platform, which combines all the component parts needed to access, process and leverage data big and small. He’ll explain how this new approach can provide game-changing power to organizations of all types and sizes. Visit InsideAnlaysis.com for more information.

Unlock Data-driven Insights in Databricks Using Location Intelligence

Precisely

Today’s data-driven organisations are turning to Databricks for a cloud-based, open, unified platform for data and AI. Yet many companies struggle to unlock the value of the data they have in Databricks. To capitalise on the promise of a competitive edge through increased efficiency and insight, data scientists are turning to location to make sense of massive volumes of business data. Watch this on-demand to hear from The Spatial Distillery Co. and Databricks on how to leverage advanced location intelligence and enrichment solutions in Databricks to: - Simplify the complexity of location data and transform it into valuable insights - Enrich data with thousands of attributes for better, more accurate analytics, AI, and ML models - Leverage the power of Databricks to integrate geospatial data into business processes for real-time answers - Create more meaningful and timely customer interactions by streamlining customer-facing and operational tasks

Essel softwarengg

Tapas Shome

Cloud computing allows businesses to take advantage of elastic, on-demand computing resources and pay only for what they use. It provides businesses with cost savings, flexibility, scalability and high availability compared to maintaining their own on-premise IT infrastructure. The document discusses various cloud computing services including compute, storage, databases and others. It provides examples of how businesses can use these services to scale their operations more efficiently. Finally, it addresses some common concerns around security and privacy when using cloud platforms.

Lean Enterprise, Microservices and Big Data

Stylight

This document discusses enabling the lean enterprise through technologies like microservices, continuous integration/deployment, and cloud computing. It begins by defining the lean enterprise and the OODA loop concept. It then explains how technologies like AWS, big data, and microservices can help organizations continuously observe, orient, decide, and act. Specific AWS services like EC2, EMR, Kinesis, Redshift, S3, and DynamoDB are reviewed. The benefits of breaking up monolithic systems into microservices and implementing devops practices like CI/CD are also summarized.

Creating Insightful Reports with Data from Sugar and Other Critical SaaS Sources

SugarCRM

Murray Dunn, The Connection Cloud Today, users of SaaS applications struggle to access their data for advanced reporting and BI. Many users need reports combine data from multiple applications such as SugarCRM, Intacct and Zuora. This typically means manually merging data from static spreadsheets to generate reports that stale, the minute they’re created. Users are addressing these challenges by turning to cloud data virtualization which provides instant connection to cloud application data to access exactly the data needed, from where it resides, into their preferred reporting tool. Join us to seehow these best practices can help you easily access your SugarCRM and other SaaS data for your advanced reporting needs.

Data Analytics를 통한 비지니스 혁신::Craig Stries::AWS Summit Seoul 2018

Amazon Web Services Korea

This document discusses how a company called EarEcstasy modernized their data architecture to enable better business insights and customer experiences. It describes their journey from a traditional B2B model to launching smart earbuds directly to consumers. This required answering new types of questions quickly, so EarEcstasy looked to build a modern data architecture on AWS. The summary outlines three key outcomes: 1) Modernizing and consolidating their data infrastructure, 2) Innovating for new revenues through personalization, and 3) Enabling real-time customer engagement.

8.17.11 big data and hadoop with informatica slideshare

Julianna DeLua

IT Demonstration PowerPoint Presentation Slides

SlideTeam

Understand the IT complexities and resolve those issues to provide better support for the business with the help of content-ready IT demonstration PowerPoint Presentation Slides. IT executives can get access to this IT demonstration PowerPoint presentation slideshow to deal with the IT complexities that disrupts the business outcomes. This deck covers topics like factors leading to IT complexities, levers of IT simplification, approaches to reduce complexities, IT simplification strategy, IT simplification roadmap, simplify processes and operating models, consolidate applications, automate and integrate, IT simplification benefits, and more. These templates are completely customizable. You can change the color, text, icon and font size as per your need. Add or remove the content from the presentation, if needed. Analyse the macro level changes, identify roadblocks, choose methodology, train, analyse, and deliver using IT demonstration PowerPoint templates. Remove as much IT complexity as possible without having any changes to the business functionality. Incorporate IT simplification PowerPoint templates to use it as a process to accomplish IT simplification. Download ready-made IT simplification PowerPoint presentation to have a more reliable, secure and cost-effective system. Enhance functional ability with our It Demonstration Powerpoint Presentation Slides. They come handy for career growth.

Introduction to cloud computing - za garage talks

Vijay Rayapati

This document provides an introduction to cloud computing, including definitions, examples of existing cloud applications, benefits, and limitations. It discusses key cloud concepts like infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). Popular cloud platforms like Amazon AWS, Google App Engine, and Windows Azure are briefly introduced. Potential concerns with security, data control, and migration are also outlined. The presentation aims to explain cloud computing fundamentals and tradeoffs for developers and startups.

Cloud Computing - The Enterprise and the Long Tail

Asite Solutions Ltd.

The document discusses how cloud computing and software as a service (SaaS) platforms can transform supply chain collaboration. It describes how SaaS leverages cloud architectures to provide a global platform that connects a company's supply chain partners in an "extended enterprise" network. This allows all participants to maximize revenue and minimize costs through improved efficiency and profitability. Specifically, SaaS provides controlled access to centralized supply chain data and analytics to drive better execution and profits across the extended enterprise.

Leveraging Data Analytics in the Cloud to Support Data-Driven Decisions

Amazon Web Services

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