You will also learn how to understand key challenges when deploying a Hadoop cluster in production, manage the entire Hadoop lifecycle using a single management console, deliver integrated management of the entire cluster to maximize IT and business agility.
This presentation was given by MapR CMO Jack Norris at Gartner BI and Analytics Summit in las Vegas on April 2, 2014.
Hadoop revolutionizes how data is stored processed and analyzed. Hadoop represents a new data and compute stack that provides huge operational advantages and is being used to change how organizations compete. This session will provide an overview of how customers are using Hadoop today through details on initial uses and a glimpse of how this new platform is providing organizations 10X performance at 1/10 the cost
Business Case Calculator for DevOps Initiatives - Leading credit card service...Capgemini
The 2015 World Quality Report data reveals that 61% of respondent’s rate time-to-market as very important which is the key reason for the proliferation of DevOps. The biggest ingredient is speed based on efficiencies upstream and in operations. Technology leaders now need to wear a business hat and build their strategy based on cost to achieve desired velocity as opposed to cost savings.
Join MasterCard and Capgemini to learn about a real time to market driven DevOps business case calculator with technology, process and tool components.
Presented at HPE Discover Las Vegas 2016.
Building and managing secure private and hybrid clouds
HP Helion extends beyond just cloud to become the very fabric of your enterprise. Delivers an extensible and open portfolio to build and manage enterprise grade end-to-end orchestrated cloud services.
Garbage in, Garbage out. This truism is not new only for Big Data but it has become significantly more impactful as the move has begun away from traditional schema based approaches to more flexible and dynamic file system approaches. Many companies are finding that early stage successes rapidly become mid-term failures as data poured into Hadoop can no longer be managed and marshaled effectively, creating a cycle of reduced effectiveness and increased cost. This session covers how Big Data changes the way that information needs to be managed, how traditional approaches like MDM need to change and how new technologies and methods such as machine learning and business meta-data become crucial to the long term viability of a heterogeneous Big Data infrastructure.
Presented at Informatica World 2016 by Steve Jones, Global VP Big Data, Capgemini Insights & Data
Discover HPE Software
Technology and business are changing at an unprecedented rate.
New ways of doing business from streamlining processes, fasttracking
innovation, and delivering amazing customer experience
all come from the convergence of IT and business strategy. But
you need to be fast to win. At HPE Software we can accelerate
your digital transformation.
Change is at our core. On 7 September, Hewlett Packard
Enterprise announced plans for a spin-off and merger of our
software business unit with Micro Focus, a global software
company dedicated to delivering and supporting enterprise
software solutions. The combination of HPE software assets
with Micro Focus will create one of the world’s largest pure-play
enterprise software companies. We will remain focused on helping
you get the most out of the software that runs your business.
Discover how HPE Software can help you thrive in a world of
digital transformation.
This presentation was given by MapR CMO Jack Norris at Gartner BI and Analytics Summit in las Vegas on April 2, 2014.
Hadoop revolutionizes how data is stored processed and analyzed. Hadoop represents a new data and compute stack that provides huge operational advantages and is being used to change how organizations compete. This session will provide an overview of how customers are using Hadoop today through details on initial uses and a glimpse of how this new platform is providing organizations 10X performance at 1/10 the cost
Business Case Calculator for DevOps Initiatives - Leading credit card service...Capgemini
The 2015 World Quality Report data reveals that 61% of respondent’s rate time-to-market as very important which is the key reason for the proliferation of DevOps. The biggest ingredient is speed based on efficiencies upstream and in operations. Technology leaders now need to wear a business hat and build their strategy based on cost to achieve desired velocity as opposed to cost savings.
Join MasterCard and Capgemini to learn about a real time to market driven DevOps business case calculator with technology, process and tool components.
Presented at HPE Discover Las Vegas 2016.
Building and managing secure private and hybrid clouds
HP Helion extends beyond just cloud to become the very fabric of your enterprise. Delivers an extensible and open portfolio to build and manage enterprise grade end-to-end orchestrated cloud services.
Garbage in, Garbage out. This truism is not new only for Big Data but it has become significantly more impactful as the move has begun away from traditional schema based approaches to more flexible and dynamic file system approaches. Many companies are finding that early stage successes rapidly become mid-term failures as data poured into Hadoop can no longer be managed and marshaled effectively, creating a cycle of reduced effectiveness and increased cost. This session covers how Big Data changes the way that information needs to be managed, how traditional approaches like MDM need to change and how new technologies and methods such as machine learning and business meta-data become crucial to the long term viability of a heterogeneous Big Data infrastructure.
Presented at Informatica World 2016 by Steve Jones, Global VP Big Data, Capgemini Insights & Data
Discover HPE Software
Technology and business are changing at an unprecedented rate.
New ways of doing business from streamlining processes, fasttracking
innovation, and delivering amazing customer experience
all come from the convergence of IT and business strategy. But
you need to be fast to win. At HPE Software we can accelerate
your digital transformation.
Change is at our core. On 7 September, Hewlett Packard
Enterprise announced plans for a spin-off and merger of our
software business unit with Micro Focus, a global software
company dedicated to delivering and supporting enterprise
software solutions. The combination of HPE software assets
with Micro Focus will create one of the world’s largest pure-play
enterprise software companies. We will remain focused on helping
you get the most out of the software that runs your business.
Discover how HPE Software can help you thrive in a world of
digital transformation.
SAP Business One for Manufacturing offers an unparalleled combination of functionality for organisations with a focus on discrete and repetitive manufacturing. The solution has been specifically designed to meet the demanding requirements of these organisations. The result is a flexible and tightly integrated software solution, with rich functionality, that is very easy to use.
For companies with a need of extensive but easy to use manufacturing functionality, SAP Business One for Manufacturing is the ideal solution.
EMA research shows that more than 40% of today’s production application workloads are running in the cloud. The age of hybrid cloud and multi-cloud is here to stay. Yet, many IT organizations continue to struggle with their cloud migrations.
These slides, based on the webinar hosted by EMA Research and Scalable Software, examines the core requirements for assessing your current IT landscape, setting priorities, and determining which workloads impact which services as you migrate to cloud.
Leveraging the Power of the ServiceNow® Platform with Mainframe and IBM i Sys...Precisely
ServiceNow is a recognized leader transforming the impact, speed and delivery of IT by breaking down silos and providing visibility across the enterprise. Meanwhile, more than 2.5 billion business transactions run on mainframes each day and over 100,000 companies use IBM i technology to run their business. Yet, until recently, these critical systems have been disconnected from the ServiceNow platform – leaving a significant blind spot in the enterprise-wide view of IT infrastructure.
View this webinar on-demand to learn about Syncsort Ironstream, the first product to seamlessly integrate IBM mainframe and IBM i systems into the ServiceNow platform to support IT Operations and Service Management.
Product experts will discuss the value this integration delivers to your business, as well as show how mainframe and IBM i data is used within the ServiceNow platform to deliver high-performance business services.
During this webinar, we cover:
• The benefits – and challenges – of including mainframe and IBM i data in the ServiceNow platform
• How Syncsort Ironstream integrates with ServiceNow Discovery and ServiceNow Event Management
• A demonstration of how mainframe and IBM i data works within ServiceNow to address top ITSM use cases, including change management, incident management and event management
Cloud pioneers used to enjoy a competitive edge, but that edge is fading as more businesses make the change. Winning now requires combining cloud-based tools and business challenges in innovative ways to drive operating efficiency, open new revenue streams, and evolve customer engagement models. In this session we will imagine the future. We will explore how to transform with Cloud to drive your future.
Matching your organization’s business needs to your cloud strategy can mean some complex choices. In this session, you will near how Capgemini and Virtustream can help you transform your SAP legacy environment to build an innovative platform that enables you to lower your costs quickly, improve your agility, deliver vital business insights, and
unlock new business opportunities.
You will also learn about how best to leverage the flexibility of fully managed cloud environments – on-premise, hosted, or both –secure, reliable, and highly optimized for all SAP environments.
Presented at SAPPHIRE NOW 2016.
The digital transformation of CPG and manufacturingCloudera, Inc.
Both CPG (Consumer Packaged Goods) and manufacturing industries face similar challenges: in order to differentiate and innovate, they need to draw insight from the one thing they both have in abundance - data. The source of the data may be different; the opportunity is always innovation and differentiation. For CPG, forever changing buyer expectations must flow into product development and sales. For both CPG and manufacturing, Industry 4.0 promises improved efficiency, lower costs, and higher revenues. Becoming data-driven is the key for both industries and requires clever combination of machine learning, analytics and cloud for success.
In this webinar, business strategist Frank Vullers will discuss how Cloudera's platform is central to this century’s industrial revolution: the digital transformation of the CPG and manufacturing industries.
Glasshouse Technologies provides Vendor Neutral IT Consulting and Managed Services to Fortune 2000 and Mid-Market companies regarding:
• Data Center Strategy, Planning, Migrations & Consolidation
• Virtualization/VDI
• Storage & Backup
• Cloud Solutions
• Security, BYOD & Compliance
• Managed Services (Servers / Storage & Backup / Desktop / Database /and more)
• Splunk Initiatives & Managing Big Data
• Disaster Recovery
GlassHouse has performed over 17,500 engagements with 12,000 companies globally, including 50% of the Fortune 100. We focus on reducing costs, risk, and improving service levels
GlassHouse has performed over 17,500 engagements with 12,000 companies globally, including 50% of the Fortune 100.
Integrating Postgres with ActiveMQ and CamelJustin Reock
Learn how to use Postgres as a backing persistence adapter for the ActiveMQ messaging platform, as well as an integration endpoint for the powerful Apache Camel integration framework. Not only will you learn about JDBC, but you'll also get a solid introduction to these two mature and powerful integration platforms.
Cutting-edge Solutions with Mainframe ServicesQAT Global
QAT Global understands that the Mainframe platform is still relied upon by many organizations to support their infrastructure and business processes. At the same time, this platform has certain unique needs and specialized skills requirements. QAT Global helps companies overcome these challenges through our intimate knowledge of legacy systems, business processes, architecture, and the broader ecosystem in which businesses operate today.
We offer end-to-end solutions, where our services help customers run business as usual, develop and enhance custom applications and transform their legacy applications.
http://spr.ly/IDCeDM Imagine having real-time data and analysis at your disposal. What kind of competitive advantage would that give you and your business? Rid yourself of outdated data today.
Chicago Data Summit: Cloudera's Distribution including Apache Hadoop & Cloude...Cloudera, Inc.
This session will discuss what's new in the recently released CDH3 and Enterprise 3.5 products. We'll review how usage of Hadoop has evolving in the enterprise and how CDH3 and Enterprise 3.5 meet these new challenges with advances in functionality, performance, security and manageability.
Realizing the Promise of Big Data with Hadoop - Cloudera Summer Webinar Serie...Cloudera, Inc.
Apache Hadoop, an open-source platform, is increasingly gaining adoption within organizations trying to draw insight from all the big data being generated. Hadoop, and a handful of open-source tools that complement it, are promising to make gigantic and diverse datasets easily and economically available for quick analysis. A burgeoning partner ecosystem is also essential to helping organizations turn big data into business value.
SAP Business One for Manufacturing offers an unparalleled combination of functionality for organisations with a focus on discrete and repetitive manufacturing. The solution has been specifically designed to meet the demanding requirements of these organisations. The result is a flexible and tightly integrated software solution, with rich functionality, that is very easy to use.
For companies with a need of extensive but easy to use manufacturing functionality, SAP Business One for Manufacturing is the ideal solution.
EMA research shows that more than 40% of today’s production application workloads are running in the cloud. The age of hybrid cloud and multi-cloud is here to stay. Yet, many IT organizations continue to struggle with their cloud migrations.
These slides, based on the webinar hosted by EMA Research and Scalable Software, examines the core requirements for assessing your current IT landscape, setting priorities, and determining which workloads impact which services as you migrate to cloud.
Leveraging the Power of the ServiceNow® Platform with Mainframe and IBM i Sys...Precisely
ServiceNow is a recognized leader transforming the impact, speed and delivery of IT by breaking down silos and providing visibility across the enterprise. Meanwhile, more than 2.5 billion business transactions run on mainframes each day and over 100,000 companies use IBM i technology to run their business. Yet, until recently, these critical systems have been disconnected from the ServiceNow platform – leaving a significant blind spot in the enterprise-wide view of IT infrastructure.
View this webinar on-demand to learn about Syncsort Ironstream, the first product to seamlessly integrate IBM mainframe and IBM i systems into the ServiceNow platform to support IT Operations and Service Management.
Product experts will discuss the value this integration delivers to your business, as well as show how mainframe and IBM i data is used within the ServiceNow platform to deliver high-performance business services.
During this webinar, we cover:
• The benefits – and challenges – of including mainframe and IBM i data in the ServiceNow platform
• How Syncsort Ironstream integrates with ServiceNow Discovery and ServiceNow Event Management
• A demonstration of how mainframe and IBM i data works within ServiceNow to address top ITSM use cases, including change management, incident management and event management
Cloud pioneers used to enjoy a competitive edge, but that edge is fading as more businesses make the change. Winning now requires combining cloud-based tools and business challenges in innovative ways to drive operating efficiency, open new revenue streams, and evolve customer engagement models. In this session we will imagine the future. We will explore how to transform with Cloud to drive your future.
Matching your organization’s business needs to your cloud strategy can mean some complex choices. In this session, you will near how Capgemini and Virtustream can help you transform your SAP legacy environment to build an innovative platform that enables you to lower your costs quickly, improve your agility, deliver vital business insights, and
unlock new business opportunities.
You will also learn about how best to leverage the flexibility of fully managed cloud environments – on-premise, hosted, or both –secure, reliable, and highly optimized for all SAP environments.
Presented at SAPPHIRE NOW 2016.
The digital transformation of CPG and manufacturingCloudera, Inc.
Both CPG (Consumer Packaged Goods) and manufacturing industries face similar challenges: in order to differentiate and innovate, they need to draw insight from the one thing they both have in abundance - data. The source of the data may be different; the opportunity is always innovation and differentiation. For CPG, forever changing buyer expectations must flow into product development and sales. For both CPG and manufacturing, Industry 4.0 promises improved efficiency, lower costs, and higher revenues. Becoming data-driven is the key for both industries and requires clever combination of machine learning, analytics and cloud for success.
In this webinar, business strategist Frank Vullers will discuss how Cloudera's platform is central to this century’s industrial revolution: the digital transformation of the CPG and manufacturing industries.
Glasshouse Technologies provides Vendor Neutral IT Consulting and Managed Services to Fortune 2000 and Mid-Market companies regarding:
• Data Center Strategy, Planning, Migrations & Consolidation
• Virtualization/VDI
• Storage & Backup
• Cloud Solutions
• Security, BYOD & Compliance
• Managed Services (Servers / Storage & Backup / Desktop / Database /and more)
• Splunk Initiatives & Managing Big Data
• Disaster Recovery
GlassHouse has performed over 17,500 engagements with 12,000 companies globally, including 50% of the Fortune 100. We focus on reducing costs, risk, and improving service levels
GlassHouse has performed over 17,500 engagements with 12,000 companies globally, including 50% of the Fortune 100.
Integrating Postgres with ActiveMQ and CamelJustin Reock
Learn how to use Postgres as a backing persistence adapter for the ActiveMQ messaging platform, as well as an integration endpoint for the powerful Apache Camel integration framework. Not only will you learn about JDBC, but you'll also get a solid introduction to these two mature and powerful integration platforms.
Cutting-edge Solutions with Mainframe ServicesQAT Global
QAT Global understands that the Mainframe platform is still relied upon by many organizations to support their infrastructure and business processes. At the same time, this platform has certain unique needs and specialized skills requirements. QAT Global helps companies overcome these challenges through our intimate knowledge of legacy systems, business processes, architecture, and the broader ecosystem in which businesses operate today.
We offer end-to-end solutions, where our services help customers run business as usual, develop and enhance custom applications and transform their legacy applications.
http://spr.ly/IDCeDM Imagine having real-time data and analysis at your disposal. What kind of competitive advantage would that give you and your business? Rid yourself of outdated data today.
Chicago Data Summit: Cloudera's Distribution including Apache Hadoop & Cloude...Cloudera, Inc.
This session will discuss what's new in the recently released CDH3 and Enterprise 3.5 products. We'll review how usage of Hadoop has evolving in the enterprise and how CDH3 and Enterprise 3.5 meet these new challenges with advances in functionality, performance, security and manageability.
Realizing the Promise of Big Data with Hadoop - Cloudera Summer Webinar Serie...Cloudera, Inc.
Apache Hadoop, an open-source platform, is increasingly gaining adoption within organizations trying to draw insight from all the big data being generated. Hadoop, and a handful of open-source tools that complement it, are promising to make gigantic and diverse datasets easily and economically available for quick analysis. A burgeoning partner ecosystem is also essential to helping organizations turn big data into business value.
Using Big Data to Transform Your Customer’s Experience - Part 1 Cloudera, Inc.
3 Things to Learn About:
-How the Customer Insights Solution helped
- How customer insights can improve customer loyalty, reduce customer churn, and increase upsell opportunities
- Which real-world use cases are ideal for using big data analytics on customer data
3 Things to Learn About:
* How Sparklyr supports a complete backend for dplyr, a popular tool for working with data frame objects both in memory and out of memory
* How Sparklyr llows data scientists to use dplyr to translate R code into Spark SQL
* How Sparklyr supports MLlib so data scientists can run classifiers, regressions, and many other machine learning algorithms in Spark
Data Engineering: Elastic, Low-Cost Data Processing in the CloudCloudera, Inc.
3 Things to Learn About:
*On-premises versus the cloud: What’s the same and what’s different?
*Benefits of data processing in the cloud
*Best practices and architectural considerations
Part 2: Apache Kudu: Extending the Capabilities of Operational and Analytic D...Cloudera, Inc.
3 Things to Learn About:
*How Apache Kudu enables users to do more than ever before with their Analytic and Operational Databases
*How Cloudera has built two versatile databases to help our customers tackle their hardest problems.
*How the addition of Apache Kudu to this mix will enable new use cases around real-time analytics, internet of things, time series data, and more.
Things to Learn About:
*Customer success stories from Navistar and other leading auto manufacturers and insurers
*Key use cases and data architecture strategies for managing data from connected vehicles
Big Data World Forum (BDWF http://www.bigdatawf.com/) is specially designed for data-driven decision makers, managers, and data practitioners, who are shaping the future of the big data.
Big Data in Financial Services: How to Improve Performance with Data-Driven D...Perficient, Inc.
Most banking and financial services organizations have only scratched the surface of leveraging customer data to transform their business, realize new revenue opportunities, manage risk and address customer loyalty. Yet a business’s digital footprint continues to evolve as automated payments, location-based purchases, and unstructured customer communications continue to influence the technology landscape for financial services.
Presented during the Open Source Conference 2012, organized by Accenture and Redhat on December 14th 2012. This presentation discusses an open source Big Data case study.
By Jonathan Bender, Consultant, Accenture Technology Labs
Analyst Keynote: Forrester: Data Fabric Strategy is Vital for Business Innova...Denodo
Watch full webinar here: https://bit.ly/36GEuJO
Traditional data integration is falling short to meet new business requirements - real-time connected data, self-service, automation, speed, and intelligence. Forrester analyst will explain how data fabric is emerging as a hot new market for an intelligent and unified platform.
Die Big Data Fabric als Enabler für Machine Learning & AIDenodo
Ansehen: https://bit.ly/2Cet17K
Erstklassige Big Data Fabrics liefern verlässliche Insights, gewährleisten höchste End-to-End Sicherheitsstandards und ermöglichen eine konsistente Datenintegration in Echtzeit – während den Business-Anwendern agile Werkzeuge zum selbstgesteuerten Datenkonsum bereitgestellt werden.
Erfahren Sie in dem Vortrag, wie die Big Data Fabric als Enabler für ML & AI:
- den Business-Anwendern und Data Scientists einen schnellen und agilen Datenzugriff via Self-Services ermöglicht
- Data Governance und Security Richtlinien zentral und verlässlich managebar macht
- relevante Insights aus aktuellen und konsistenten Daten liefert
IBM Solutions Connect 2013 - Getting started with Big DataIBM Software India
You've heard of Big Data for sure. But what are the implications of this for your organisation? Can your organisation leverage Big Data too? If you decide to go ahead with your Big Data implementation where do you start? If these questions sound familiar to you then you've stumbled upon the right presentation. Go through the presentation to:
a. Learn more on Big data
b. How Big data can help you outperform in your marketplace.
c. How to proactively manage security and risk
d. How to create IT agility to underpin the business
Also, learn about IBM's superior Big Data technologies and how they are helping today's organisations take smarter decisions and actions.
Cloudera Data Impact Awards 2021 - Finalists Cloudera, Inc.
This annual program recognizes organizations who are moving swiftly towards the future and building innovative solutions by making what was impossible yesterday, possible today.
The winning organizations' implementations demonstrate outstanding achievements in fulfilling their mission, technical advancement, and overall impact.
The 2021 Data Impact Awards recognize organizations' achievements with the Cloudera Data Platform in seven categories:
Data Lifecycle Connection
Data for Enterprise AI
Cloud Innovation
Security & Governance Leadership
People First
Data for Good
Industry Transformation
2020 Cloudera Data Impact Awards FinalistsCloudera, Inc.
Cloudera is proud to present the 2020 Data Impact Awards Finalists. This annual program recognizes organizations running the Cloudera platform for the applications they've built and the impact their data projects have on their organizations, their industries, and the world. Nominations were evaluated by a panel of independent thought-leaders and expert industry analysts, who then selected the finalists and winners. Winners exemplify the most-cutting edge data projects and represent innovation and leadership in their respective industries.
Machine Learning with Limited Labeled Data 4/3/19Cloudera, Inc.
Cloudera Fast Forward Labs’ latest research report and prototype explore learning with limited labeled data. This capability relaxes the stringent labeled data requirement in supervised machine learning and opens up new product possibilities. It is industry invariant, addresses the labeling pain point and enables applications to be built faster and more efficiently.
Data Driven With the Cloudera Modern Data Warehouse 3.19.19Cloudera, Inc.
In this session, we will cover how to move beyond structured, curated reports based on known questions on known data, to an ad-hoc exploration of all data to optimize business processes and into the unknown questions on unknown data, where machine learning and statistically motivated predictive analytics are shaping business strategy.
Introducing Cloudera DataFlow (CDF) 2.13.19Cloudera, Inc.
Watch this webinar to understand how Hortonworks DataFlow (HDF) has evolved into the new Cloudera DataFlow (CDF). Learn about key capabilities that CDF delivers such as -
-Powerful data ingestion powered by Apache NiFi
-Edge data collection by Apache MiNiFi
-IoT-scale streaming data processing with Apache Kafka
-Enterprise services to offer unified security and governance from edge-to-enterprise
Introducing Cloudera Data Science Workbench for HDP 2.12.19Cloudera, Inc.
Cloudera’s Data Science Workbench (CDSW) is available for Hortonworks Data Platform (HDP) clusters for secure, collaborative data science at scale. During this webinar, we provide an introductory tour of CDSW and a demonstration of a machine learning workflow using CDSW on HDP.
Shortening the Sales Cycle with a Modern Data Warehouse 1.30.19Cloudera, Inc.
Join Cloudera as we outline how we use Cloudera technology to strengthen sales engagement, minimize marketing waste, and empower line of business leaders to drive successful outcomes.
Leveraging the cloud for analytics and machine learning 1.29.19Cloudera, Inc.
Learn how organizations are deriving unique customer insights, improving product and services efficiency, and reducing business risk with a modern big data architecture powered by Cloudera on Azure. In this webinar, you see how fast and easy it is to deploy a modern data management platform—in your cloud, on your terms.
Modernizing the Legacy Data Warehouse – What, Why, and How 1.23.19Cloudera, Inc.
Join us to learn about the challenges of legacy data warehousing, the goals of modern data warehousing, and the design patterns and frameworks that help to accelerate modernization efforts.
Leveraging the Cloud for Big Data Analytics 12.11.18Cloudera, Inc.
Learn how organizations are deriving unique customer insights, improving product and services efficiency, and reducing business risk with a modern big data architecture powered by Cloudera on AWS. In this webinar, you see how fast and easy it is to deploy a modern data management platform—in your cloud, on your terms.
Explore new trends and use cases in data warehousing including exploration and discovery, self-service ad-hoc analysis, predictive analytics and more ways to get deeper business insight. Modern Data Warehousing Fundamentals will show how to modernize your data warehouse architecture and infrastructure for benefits to both traditional analytics practitioners and data scientists and engineers.
Explore new trends and use cases in data warehousing including exploration and discovery, self-service ad-hoc analysis, predictive analytics and more ways to get deeper business insight. Modern Data Warehousing Fundamentals will show how to modernize your data warehouse architecture and infrastructure for benefits to both traditional analytics practitioners and data scientists and engineers.
Explore new trends and use cases in data warehousing including exploration and discovery, self-service ad-hoc analysis, predictive analytics and more ways to get deeper business insight. Modern Data Warehousing Fundamentals will show how to modernize your data warehouse architecture and infrastructure for benefits to both traditional analytics practitioners and data scientists and engineers.
Extending Cloudera SDX beyond the PlatformCloudera, Inc.
Cloudera SDX is by no means no restricted to just the platform; it extends well beyond. In this webinar, we show you how Bardess Group’s Zero2Hero solution leverages the shared data experience to coordinate Cloudera, Trifacta, and Qlik to deliver complete customer insight.
Federated Learning: ML with Privacy on the Edge 11.15.18Cloudera, Inc.
Join Cloudera Fast Forward Labs Research Engineer, Mike Lee Williams, to hear about their latest research report and prototype on Federated Learning. Learn more about what it is, when it’s applicable, how it works, and the current landscape of tools and libraries.
Analyst Webinar: Doing a 180 on Customer 360Cloudera, Inc.
451 Research Analyst Sheryl Kingstone, and Cloudera’s Steve Totman recently discussed how a growing number of organizations are replacing legacy Customer 360 systems with Customer Insights Platforms.
Build a modern platform for anti-money laundering 9.19.18Cloudera, Inc.
In this webinar, you will learn how Cloudera and BAH riskCanvas can help you build a modern AML platform that reduces false positive rates, investigation costs, technology sprawl, and regulatory risk.
Introducing the data science sandbox as a service 8.30.18Cloudera, Inc.
How can companies integrate data science into their businesses more effectively? Watch this recorded webinar and demonstration to hear more about operationalizing data science with Cloudera Data Science Workbench on Cazena’s fully-managed cloud platform.
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.
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.
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/
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
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.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
Modernizing Your IT Infrastructure with Hadoop - Cloudera Summer Webinar Series: Gartner
1. MODERNIZING YOUR IT
INFRASTRUCTURE WITH HADOOP
Merv Adrian, VP Research Gartner
Charles Zedlewski, VP Product Cloudera
1
2. "Big Data‖ Crystallizes Extreme
Information Management Challenges
Perishability Fidelity
―Big Data‖ refers to high volume, velocity
and variety information assets that demand
cost-effective, innovative forms of
Validation Linking
information processing for enhanced insight
Classification Contracts and decision-making. They require:
Extreme information management - the
Technology Pervasive concept that your current information
Use
Velocity Volume infrastructure must be intentionally
managed along 12 complementary
dimensions to meet the challenges of the
Variety Complexity 21st century Information Age.
3. Where Does Big Data Come From?
Email Transactions
Enterprise Partner, Employee
―Dark Data‖ Customer, Supplier
Contracts Observations
Public Commercial
Credit
Weather Sensors
Population Social Media
Economic
Network
Sentiment
Correlations and patterns from disparate, linked data sources
yield the greatest insights and transformative opportunities
3
4. The Big Data Challenge: Putting Together the
Pieces Quickly and Efficiently
I
Through 2015:
N
E
R • 85% of Fortune 500
T organizations will be
INFRASTRUCTURE I unable to exploit big
A data for competitive
advantage.
LEADERSHIP
R
I • Business analytics
S needs will drive 70%
K of investments in the
S ANALYTICS S INVESTMENT expansion and
K modernization of
I ORGANIZATION information
L
infrastructure.
ARCHITECTURE
L
S
5. Interest in "Big Data" Is Rising Rapidly —
Though ―Hadoop‖ Remains Steady
500
450
400
350
300
250
Hadoop
200 Big Data
150
100
50
0
Client searches for ―Big Data‖ and "hadoop‖ on gartner.com over 12 months ending June 12
6. Hadoop's A Good Idea, But Confusion
Has Slowed Commercial Adoption
• IT organizations are confused, but want to make
a decision
• The standards steward — Apache Software
Foundation — distributes some, but not all
"projects" in Hadoop distributions
• Many distributions exist —and they differ in their
components and their "openness"
• Choosing the right distributions should be driven
by business analytics needs
7. Maturity is Growing and Will Spur
Adoption As Marketing Ramps Up
• Wave of new releases, beginning with Apache
1.0 and 2.0 (alpha), has crystalized the platform
• Current versions are beginning to address early
problems with availability, security, performance
• Distribution vendors add features and support
enterprises require
• Rapidly evolving ecosystem includes
differentiated distributions, data
integration, business intelligence, and services
vendors
7
8. Recommendations
• Don't surrender to hype-ocracy. This is early, maturing
technology.
• Deploy when you have a clear use case, not ―to play with
the technology‖
• Use a commercially supported distribution when you
move to production; till then, experiment "in the cloud" or
on existing hardware with ―free‖ downloads
• Choose the distribution based on business need —
leverage specific, supported projects
• Skills will be key: define "data science" needs and
hire/train for them
• Manage your big data – don‘t abdicate. Practice Extreme
Information Management.
10. 1 HIGH
AVAILABILITY 2 GRANULAR
SECURITY
THERE‘S NO DOWNTIME. YOUR DATA IS PROCESS AND CONTROL SENSITIVE
ALWAYS AVAILABLE FOR DECISIONS DATA WITH CONFIDENCE
3 ROBUST
MANAGEMENT 4 SCALABLE AND
EXTENSIBLE
ACHIEVE OPTIMAL PERFORMANCE VIA ADAPTS TO YOUR WORKLOAD AND
CENTRALIZED ADMINISTRATION GROWS WITH THE BUSINESS
5 CERTIFIED AND
COMPATIBLE 6 GLOBAL SUPPORT
AND SERVICES
EXTEND AND LEVERAGE EXISTING ACHIEVE SLAs AND ADHERE TO
INFRASTRUCTURE INVESTMENTS EXISTING IT POLICIES
10
11. 1 INDUSTRY TERM VERTICAL INDUSTRY TERM 2
Social Network Analysis Web Clickstream Sessionization
ADVANCED ANALYTICS
DATA PROCESSING
Content Optimization Media Engagement
Network Analytics Telco Mediation
Loyalty & Promotions Analysis Retail Data Factory
Fraud Analysis Financial Trade Reconciliation
Entity Analysis Federal SIGINT
Sequencing Analysis Bioinformatics Genome Mapping
11
12. CDH4
Cloudera’s Distribution Including Apache Hadoop (CDH)
STORAGE COMPUTATION ACCESS INTEGRATION
Big Data storage, processing and analytics platform based on
Apache Hadoop – 100% open source
Cloudera Enterprise 4.0
Cloudera Manager
DIAGNOSTICS
DEPLOYMENT CONFIGURATION MONITORING
End-to-end management application for the deployment & REPORTING
and operation of CDH
Production Support
ISSUE ESCALATION KNOWLEDGE
OPTIMIZATION
Our dedicated team of experts on call to help you RESOLUTION PROCESSES BASE
meet your Service Level Agreements (SLAs)
Cloudera University
Partner Ecosystem Equipping the Big Data workforce – 12,000+ trained
250+ partners across hardware, software, platforms and services
Professional Services
Use case discovery, pilots, process & team development
12
13. All the industry leaders integrate with CDH.
CDH4
STORAGE COMPUTATION ACCESS INTEGRATION
Big Data storage, processing and analytics platform based
on Apache Hadoop – 100% open source
BI / Analytics Data Integration Database OS / Cloud / Sys Mgmt Hardware
13
14.
15. END-TO-END MANAGEMENT
APPLICATION FOR APACHE HADOOP
1 DEPLOY
INSTALL, CONFIGURE AND START YOUR
CLUSTER IN 3 SIMPLE STEPS
2 CONFIGURE & MANAGE
ENSURE OPTIMAL SETTINGS FOR ALL HOSTS
AND SERVICES
3 MONITOR, DIAGNOSE & REPORT
FIND AND FIX PROBLEMS QUICKLY, VIEW CURRENT
AND HISTORICAL ACTIVITY AND RESOURCE USAGE
15
16. REQUIRED SKILLS
LINUX ADMIN OR DBA BACKGROUND
JAVA KNOWLEDGE
NETWORKING KNOWLEDGE
RESPONSIBILITIES
KEEP IMPORTANT WORKLOADS WITHIN SLA
INSTALL, CONFIGURE AND UPGRADE HADOOP
MONITOR SYSTEM HEALTH & PERFORMANCE
PLAN FOR THE FUTURE
16
19. REGISTER NOW FOR THE REMAINING
‗POWER OF HADOOP‘ WEBINARS:
REALIZING THE PROMISE OF BIG DATA WITH HADOOP
THANK
FORRESTER AND CLOUDERA
THURSDAY, JULY 26, 11AM PST
YOU!
WHAT THE HADOOP: WHY YOUR BUSINESS CAN’T
AFFORD TO IGNORE THE POWER OF HADOOP
GIGAOM AND CLOUDERA
WEDNESDAY, AUGUST 29, 10AM PST
THE BUSINESS ADVANTAGE OF HADOOP:
LESSONS FROM THE FIELD
451 RESEARCH AND CLOUDERA
WEDNESDAY, SEPTEMBER 26, 10AM PST
19
Editor's Notes
The 21st century CIO is will effectively have three major information management issues coming together in an almost coordinated, simultaneous "perfect storm.""Big data" is a first taste of the extreme information challenges that will become increasingly difficult to address. The concept of data volumes so large that even as storage technology and network infrastructures increase in capacity, the data simply grows at a faster rate. In addition to volume, information assets will exhibit irregular rates of change, governance rules will become increasingly fluid, new asset types will continue to emerge and the desire of all levels of an analyst to use that data will increase exponentially. All of this in combination begins to define the extreme information management environment and any one of 12 different dimensions can overcome your existing systems — let alone two or more of them in combination.The combination of consumerization and mobility has only begun to explore the many different types of information assets that will be introduced as well as the many information "create" or "write" situations that will occur. This is only one, obvious example of the proliferation of information sources that will highlight the importance of understanding how information assets are linked together and their inherent reliability!Comprehensive, complete and deliberate architectures are the only hope for creating standards or guidance to deal with the massive "news to noise" ratios that are pending and the wide diversity of information assets and the resulting use cases.Action Item: Determine if the organization will develop in-house architectural expertise to lead the enterprise strategy based on hiring and training, or if it will follow a strategy of out-sourcing for this expertise.
By far, Hadoop is the technology getting the most attention in the market for analytic use cases involving big data at rest. Its early usage in Web 2.0 companies was largely designed for batch processing of large volumes of data, data mining-style, so it's not surprising that this should be so. And while there is more to Hadoop than this, client inquiries fielded by the information management team reinforce our position that it is the most typical catalyst for Hadoop consideration.
While its acquisition costs are lower, using open-source Apache Hadoop entails bigger risks than traditional commercial database environments; it is less mature, is fragmented, and Apache lacks a commercial support organization. Other open-source offerings have a similar profile, but typical Hadoop implementations consist of more independent "moving parts" and version numbers than most. Enterprises can construct and maintain a Hadoop solution themselves if they have the time, resources and expertise to do so. Preferably, they will choose a commercial Apache Hadoop distribution whose component projects are pre-integrated and may be backed by the vendor's support. More mature distributions provide scripts to install all the pieces, often with a graphic script that allows the user to choose the pieces appropriate for their specific needs, hardware and network setup, etc. Numerous vendors offer Hadoop distributions with pre-integrated components, but the vendors have varying levels of credibility and experience, and offer different combinations of projects at different release stages. Data management leaders can easily go wrong.However, commercial distributions include different projects along with the core Hadoop projects, and no commercial distributions include or support all available projects. Distributions also have varying release levels of the included projects and update them at different rates. Thus, data management leaders run the risk of choosing a Hadoop solution that does not meet enterprise needs.
Choose one of two options, depending on your needs and circumstances: build a customstack, or use a distribution from a major Apache Hadoop provider. In the latter case,subscribing to support is recommended.■ Choose your approach (custom or distribution) based on your team's skills, whether this is atactical experiment or a strategic initiative, and on how well available distributions fit your usecase.■ Balance the enterprise's longer-term needs with immediate pressures to deliver, and considerprojects that may be needed for future initiatives.■ Evaluate the distribution vendor as a whole if you plan to run Apache Hadoop for the long term.Look at financial viability, support capabilities, partnerships and future technology plans. Aboveall, talk to reference customers; treat distributions as you would development tools orworkbenches.