Unlock Data-driven Insights in Databricks Using Location IntelligencePrecisely
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
Why Data Virtualization Matters in Your PortfolioDenodo
Watch full webinar here: [https://buff.ly/2W925vO]
Enterprise data virtualization has become critical to every organization in overcoming growing data challenges. In this webinar, Forrester analyst Noel Yuhanna, author of The Enterprise Data Virtualization Wave, will address:
Data virtualization market growth trends and momentum
Key solutions and use cases
How leaders like Denodo are differentiating from other vendors in the market
Reveal the Intelligence in your Data with Talend Data FabricJean-Michel Franco
Discover the Winter'20 release of Talend Data Fabric.
Find out about the newly released product, Talend Data Inventory, and the powerful new capabilities and AI that accelerate and modernize data engineering. Find out how to:
- Ensure trusted data at first sight with Data Inventory
- Increase efficiency and productivity with Pipeline Designer
- Automate more integration tasks with AI and APIs
DAMA Webinar: Turn Grand Designs into a Reality with Data VirtualizationDenodo
Watch full webinar here: https://buff.ly/2HMdbUp
What started to evolve as the most agile and real-time enterprise data fabric, data virtualization is proving to go beyond its initial promise and is becoming one of the most important enterprise big data fabrics.
Attend this session to learn:
• What data virtualization really is,
• How it differs from other enterprise data integration technologies
• Real-world examples of data virtualization in action from companies such as Logitech, Autodesk and Festo.
Unlock Data-driven Insights in Databricks Using Location IntelligencePrecisely
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
Why Data Virtualization Matters in Your PortfolioDenodo
Watch full webinar here: [https://buff.ly/2W925vO]
Enterprise data virtualization has become critical to every organization in overcoming growing data challenges. In this webinar, Forrester analyst Noel Yuhanna, author of The Enterprise Data Virtualization Wave, will address:
Data virtualization market growth trends and momentum
Key solutions and use cases
How leaders like Denodo are differentiating from other vendors in the market
Reveal the Intelligence in your Data with Talend Data FabricJean-Michel Franco
Discover the Winter'20 release of Talend Data Fabric.
Find out about the newly released product, Talend Data Inventory, and the powerful new capabilities and AI that accelerate and modernize data engineering. Find out how to:
- Ensure trusted data at first sight with Data Inventory
- Increase efficiency and productivity with Pipeline Designer
- Automate more integration tasks with AI and APIs
DAMA Webinar: Turn Grand Designs into a Reality with Data VirtualizationDenodo
Watch full webinar here: https://buff.ly/2HMdbUp
What started to evolve as the most agile and real-time enterprise data fabric, data virtualization is proving to go beyond its initial promise and is becoming one of the most important enterprise big data fabrics.
Attend this session to learn:
• What data virtualization really is,
• How it differs from other enterprise data integration technologies
• Real-world examples of data virtualization in action from companies such as Logitech, Autodesk and Festo.
Mastering Location Data – a new paradigm in network analyticsPrecisely
Wireless and wired telecom providers use geocoding and location analytics for network planning and subscriber acquisition. Location data becomes even more critical during 5G deployments. For example, for fixed wireless deployment using millimeter wave (mmW) bands, which provide extremely high speeds and capacity in focused areas, operators must accurately know what the best locations are for deploying 5G small cells. Just as important is knowing what the customer locations are that will be inside the coverage area.
How well it works depends on hyper-accurate geocoding and a rich set of data attributes augmenting a correct residential or business address. Typically, however, engineering, marketing and customer service use siloes and inconsistent in-house datasets, myriad data products and formats, and disparate analytical tools.
The result can be costly mistakes across a range of use cases, including misplaced 5G infrastructure that blocks signals and investments in neighborhoods that aren’t a good market for 5G services. For cable operators looking to expand network penetration, errors include inefficient routing of fiber drops and overlooked occupants of near-net buildings. In this webinar, we will examine a different approach to linking latitude/longitude with an accurate address and data attributes such as building footprint, height and occupancy as well as neighborhood-level demographics.
Topics covered in this presentation will include:
- Challenges CSPs face today in using data for network planning, including new 5G infrastructure and optimizing existing wired networks for both end users and backhaul customers
- Understanding and implementing accurate address and geocoding data across multiple use cases, including customer acquisition
- How a Master Location Data approach can efficiently augment lat/long and address data with detailed attributes needed by engineers and marketers
Foundational Strategies for Trusted Data: Getting Your Data to the CloudPrecisely
To trust your reporting, analytics, and ML outcomes, you must have access to all the data required for confident decision-making. In this on-demand session we’ll explore strategies for breaking data out of silos and getting it into the cloud – with an emphasis on integrating data from complex legacy systems.
Speaker: Eddie Hui, Principal Sales Consultant, Informatica
These Informatica Cloud offerings are pre-built packages for quick time-to-value for customers looking to fast-track cloud data management initiatives. For example, customers can quickly kick start a new Amazon Redshift data warehouse project and use Informatica Cloud Connector for Amazon Redshift to load it with meaningful connected data from cloud sources such as Salesforce.com or on-premises sources such as relational databases -- all within hours, not months.
Role of Unified AI and ML in Cloud Technologies. Which Cloud Service Provider...Denodo
Watch full webinar here: https://bit.ly/3hpTRep
AI and ML help automate many of the enterprise tasks. What role do they play in cloud technologies? And, different cloud service providers (CSP) claim AI and ML capabilities within their technologies. But which one has better support for data science? Does any one CSP provide better tools and automation for data scientists to perform their analysis with ease and speed? The Chief AI Architect from UST will elaborate on the differences between cloud technologies for supporting AI, ML, and data science. Do you have additional questions that you want answered on this subject? Then bring them on.
Executives are still waiting on our “Big Data Deep Insights”. Many of us are down the path of collecting, extracting, and analyzing our ever-growing data in Hadoop environments. We are building our data science expertise and expanding data governance. Yet still we are not getting what we are waiting for.This talk is about:
1. Getting to the right questions
2. Setting expectations with the executive team
3. The unintentional consequence of suddenly having lots of data
4. Framing the boundaries of our data science
5. Pragmatic data governance
6. Looking outside your data to 3rd party data
A Key to Real-time Insights in a Post-COVID World (ASEAN)Denodo
Watch full webinar here: https://bit.ly/2EpHGyd
Presented at Data Champions, Online Asia 2020
Businesses and individuals around the world are experiencing the impact of a global pandemic. With many workers and potential shoppers still sequestered, COVID-19 is proving to have a momentous impact on the global economy. Regardless of the current situation and post-pandemic era, real-time data becomes even more critical to healthcare practitioners, business owners, government officials, and the public at large where holistic and timely information are important to make quick decisions. It enables doctors to make quick decisions about where to focus the care, business owners to alter production schedules to meet the demand, government agencies to contain the epidemic, and the public to be informed about prevention.
In this on-demand session, you will learn about the capabilities of data virtualization as a modern data integration technique and how can organisations:
- Rapidly unify information from disparate data sources to make accurate decisions and analyse data in real-time
- Build a single engine for security that provides audit and control by geographies
- Accelerate delivery of insights from your advanced analytics project
Self -Service Data preparation for Data-Driven marketingJean-Michel Franco
Marketing needs data to operate in the digital era. But there's a data gap. Self Service data preparation is tackling the painful last mile of data, the one that makes everyone ready to put data at work for its own needs. See how that works.
Regulation and Compliance in the Data Driven EnterpriseDenodo
Watch full webinar here: [https://buff.ly/2R9qSfq]
Data proliferation has become a major challenge for many customers as they deal with new regulations and more stringent compliance requirements. Hear how these challenges can be addressed with fine grained security, full data lineage and comprehensive auditability.
In this Denodo DataFest session we will cover how to:
Assure compliance with optimized data management
Data classification with security policy enforcement
Increase flexibility with extended protection capabilities
How can Insurers Accelerate Digital Transformation with Data Virtualization (...Denodo
Watch full webinar here: https://bit.ly/2Qpwqo9
Insurers’ globally are accelerating their digital journey, making rapid strides with their digitisation efforts, and adding key capabilities to adapt and innovate in the new normal. However, many insurance organisations find this transformation challenging as they rely on established systems that are often not only poorly integrated, but also highly resistant to modernisation without downtime. Hear how peers in your industry are leveraging data virtualization that facilitates digital transformation via a modern data integration / data delivery approach to gain greater agility, flexibility, and efficiency.
In this session, you will learn:
- Industry key trends and challenges driving the digital transformation mandate
- What is data virtualization, use cases, and how it can enable insurers to develop critical capabilities
- Lessons from success stories of insurers who already use data virtualization to differentiate themselves from the competition, have a single view of all their data and a way to establish security controls across the entire infrastructure
Agile Data Management with Enterprise Data Fabric (Middle East)Denodo
Watch full webinar here: https://bit.ly/3td9ICb
In a world where machine learning and artificial intelligence are changing our everyday lives, digital transformation tops the strategic agenda in many private and government organizations. Data is becoming the lifeblood of a company, flowing seamlessly through it to enable deep business insights, create new opportunities, and optimize operations.
Chief Data Officers and Data Architects are under continuous pressure to find the best ways to manage the overwhelming volumes of the data that tend to become more and more distributed and diverse.
Moving data physically to a single location for reporting and analytics is not an option anymore – this is the fact accepted by the majority of the data professionals.
Join us for this webinar to know about the modern virtual data landscapes including:
- Virtual Data Fabric
- Data Mesh
- Multi-Cloud Hybrid architecture
and to learn how to leverage Denodo Data Virtualization platform to implement these modern data architectures.
Speaker: Vince Leat, Industry Consulting Executive, Teradata
Large enterprises need a partner who has done it before. Teradata has successfully implemented AI across multiple industries, proving the technology as well as producing material business outcomes. Teradata continues to channel IP from successful, field-based AI client engagements into accelerators that lead to faster time to value and reduce the risk of custom AI initiatives. Hear how Teradata helps customers build opportunities derived from AI.
Multi-Cloud Data Integration with Data Virtualization (APAC)Denodo
Watch full webinar here: https://bit.ly/3cnw5MW
More and more organization are adopting multi-cloud strategies to provide greater flexibility, cost savings, and performance optimization. Even when organizations commit to a single cloud provider, they often have data and applications spread across different cloud regions to support different business units or geographies. The result of this is a high distributed infrastructure that makes finding and accessing the data needed for reporting and analytics even more challenging.
The Denodo Platform Multi-Location Architecture provides quick and easy managed access to data while still providing local control to the 'data owners' and complying with local privacy and data protection regulations (think GDPR and CCPA!).
In this on-demand session, you will learn about:
- The challenges facing organizations as they adopt multi-cloud data strategies
- How the Denodo Platform provides a managed data access layer across the organization
- The different multi-location architectures that can maximize local control over data while still making it readily available
- How organizations have benefited from using the Denodo Platform as a multi-cloud data access layer
Global Business Intelligence (BI) software vendor, Yellowfin, and Actian Corporation, pioneers of the record-breaking analytical database Vectorwise, will host a series of Big Data and BI Best Practices Webinars.
These are the slides from that presentation.
The Big Data & BI Best Practices Webinars and associated slides examine the phenomenal growth in business data and outline strategies for effectively, efficiently and quickly harnessing and exploring ‘Big Data’ for competitive advantage.
Unlocking Greater Insights with Integrated Data Quality for CollibraPrecisely
Data is arguably your company’s greatest asset, and a thoughtful data governance strategy, along with robust tools like Collibra Data Governance Center (DGC), is essential to getting the most value from that data. However, even the best data governance programs will falter without data quality.
Data governance systems provide a framework for the policies, processes, rules, roles and responsibilities that help you manage your enterprise data. But they don’t give you insight into the characteristics and quality of that data – such as errors, outliers and issues – nor how the data changes over time.
During this webinar, we discuss how seamlessly integrating Trillium DQ with Collibra DGC creates a complete data governance solution that delivers rapid insights into the health of your data, ensuring trust and compliance with organizational policies and plans. We demonstrate how data is automatically exchanged between the tools so users can:
• Quickly establish the rules needed to support policies
• Evaluate their data against those rules on an ongoing basis
• Identify problems or improvements with their data quality to take action
How to Leverage the Cloud for Business Solutions | Strata Data Conference Lon...MapR Technologies
IT budgets are shrinking, and the move to next-generation technologies is upon us. The cloud is an option for nearly every company, but just because it is an option doesn’t mean it is always the right solution for every problem.
Most cloud providers would prefer that every customer be tightly coupled with their proprietary services and APIs to create lock-in with that cloud provider. The savvy customer will leverage the cloud as infrastructure and stay loosely bound to a cloud provider. This creates an opportunity for the customer to execute a multicloud strategy or even a hybrid on-premises and cloud solution.
Jim Scott explores different use cases that may be best run in the cloud versus on-premises, points out opportunities to optimize cost and operational benefits, and explains how to get the data moved between locations. Along the way, Jim discusses security, backups, event streaming, databases, replication, and snapshots across a variety of use cases that run most businesses today.
An Introduction to the MapR Converged Data PlatformMapR Technologies
Listen to the webinar on-demand: http://info.mapr.com/WB_Partner_CDP_Intro_EMEA_DG_17.05.31_RegistrationPage.html
In this 90-minute webinar, we discuss:
- The MapR Converged Data Platform and its components
- Use cases for the Converged Data Platform
- MapR Converged Partner Program
- How to get started with MapR
- Becoming a partner
Mastering Location Data – a new paradigm in network analyticsPrecisely
Wireless and wired telecom providers use geocoding and location analytics for network planning and subscriber acquisition. Location data becomes even more critical during 5G deployments. For example, for fixed wireless deployment using millimeter wave (mmW) bands, which provide extremely high speeds and capacity in focused areas, operators must accurately know what the best locations are for deploying 5G small cells. Just as important is knowing what the customer locations are that will be inside the coverage area.
How well it works depends on hyper-accurate geocoding and a rich set of data attributes augmenting a correct residential or business address. Typically, however, engineering, marketing and customer service use siloes and inconsistent in-house datasets, myriad data products and formats, and disparate analytical tools.
The result can be costly mistakes across a range of use cases, including misplaced 5G infrastructure that blocks signals and investments in neighborhoods that aren’t a good market for 5G services. For cable operators looking to expand network penetration, errors include inefficient routing of fiber drops and overlooked occupants of near-net buildings. In this webinar, we will examine a different approach to linking latitude/longitude with an accurate address and data attributes such as building footprint, height and occupancy as well as neighborhood-level demographics.
Topics covered in this presentation will include:
- Challenges CSPs face today in using data for network planning, including new 5G infrastructure and optimizing existing wired networks for both end users and backhaul customers
- Understanding and implementing accurate address and geocoding data across multiple use cases, including customer acquisition
- How a Master Location Data approach can efficiently augment lat/long and address data with detailed attributes needed by engineers and marketers
Foundational Strategies for Trusted Data: Getting Your Data to the CloudPrecisely
To trust your reporting, analytics, and ML outcomes, you must have access to all the data required for confident decision-making. In this on-demand session we’ll explore strategies for breaking data out of silos and getting it into the cloud – with an emphasis on integrating data from complex legacy systems.
Speaker: Eddie Hui, Principal Sales Consultant, Informatica
These Informatica Cloud offerings are pre-built packages for quick time-to-value for customers looking to fast-track cloud data management initiatives. For example, customers can quickly kick start a new Amazon Redshift data warehouse project and use Informatica Cloud Connector for Amazon Redshift to load it with meaningful connected data from cloud sources such as Salesforce.com or on-premises sources such as relational databases -- all within hours, not months.
Role of Unified AI and ML in Cloud Technologies. Which Cloud Service Provider...Denodo
Watch full webinar here: https://bit.ly/3hpTRep
AI and ML help automate many of the enterprise tasks. What role do they play in cloud technologies? And, different cloud service providers (CSP) claim AI and ML capabilities within their technologies. But which one has better support for data science? Does any one CSP provide better tools and automation for data scientists to perform their analysis with ease and speed? The Chief AI Architect from UST will elaborate on the differences between cloud technologies for supporting AI, ML, and data science. Do you have additional questions that you want answered on this subject? Then bring them on.
Executives are still waiting on our “Big Data Deep Insights”. Many of us are down the path of collecting, extracting, and analyzing our ever-growing data in Hadoop environments. We are building our data science expertise and expanding data governance. Yet still we are not getting what we are waiting for.This talk is about:
1. Getting to the right questions
2. Setting expectations with the executive team
3. The unintentional consequence of suddenly having lots of data
4. Framing the boundaries of our data science
5. Pragmatic data governance
6. Looking outside your data to 3rd party data
A Key to Real-time Insights in a Post-COVID World (ASEAN)Denodo
Watch full webinar here: https://bit.ly/2EpHGyd
Presented at Data Champions, Online Asia 2020
Businesses and individuals around the world are experiencing the impact of a global pandemic. With many workers and potential shoppers still sequestered, COVID-19 is proving to have a momentous impact on the global economy. Regardless of the current situation and post-pandemic era, real-time data becomes even more critical to healthcare practitioners, business owners, government officials, and the public at large where holistic and timely information are important to make quick decisions. It enables doctors to make quick decisions about where to focus the care, business owners to alter production schedules to meet the demand, government agencies to contain the epidemic, and the public to be informed about prevention.
In this on-demand session, you will learn about the capabilities of data virtualization as a modern data integration technique and how can organisations:
- Rapidly unify information from disparate data sources to make accurate decisions and analyse data in real-time
- Build a single engine for security that provides audit and control by geographies
- Accelerate delivery of insights from your advanced analytics project
Self -Service Data preparation for Data-Driven marketingJean-Michel Franco
Marketing needs data to operate in the digital era. But there's a data gap. Self Service data preparation is tackling the painful last mile of data, the one that makes everyone ready to put data at work for its own needs. See how that works.
Regulation and Compliance in the Data Driven EnterpriseDenodo
Watch full webinar here: [https://buff.ly/2R9qSfq]
Data proliferation has become a major challenge for many customers as they deal with new regulations and more stringent compliance requirements. Hear how these challenges can be addressed with fine grained security, full data lineage and comprehensive auditability.
In this Denodo DataFest session we will cover how to:
Assure compliance with optimized data management
Data classification with security policy enforcement
Increase flexibility with extended protection capabilities
How can Insurers Accelerate Digital Transformation with Data Virtualization (...Denodo
Watch full webinar here: https://bit.ly/2Qpwqo9
Insurers’ globally are accelerating their digital journey, making rapid strides with their digitisation efforts, and adding key capabilities to adapt and innovate in the new normal. However, many insurance organisations find this transformation challenging as they rely on established systems that are often not only poorly integrated, but also highly resistant to modernisation without downtime. Hear how peers in your industry are leveraging data virtualization that facilitates digital transformation via a modern data integration / data delivery approach to gain greater agility, flexibility, and efficiency.
In this session, you will learn:
- Industry key trends and challenges driving the digital transformation mandate
- What is data virtualization, use cases, and how it can enable insurers to develop critical capabilities
- Lessons from success stories of insurers who already use data virtualization to differentiate themselves from the competition, have a single view of all their data and a way to establish security controls across the entire infrastructure
Agile Data Management with Enterprise Data Fabric (Middle East)Denodo
Watch full webinar here: https://bit.ly/3td9ICb
In a world where machine learning and artificial intelligence are changing our everyday lives, digital transformation tops the strategic agenda in many private and government organizations. Data is becoming the lifeblood of a company, flowing seamlessly through it to enable deep business insights, create new opportunities, and optimize operations.
Chief Data Officers and Data Architects are under continuous pressure to find the best ways to manage the overwhelming volumes of the data that tend to become more and more distributed and diverse.
Moving data physically to a single location for reporting and analytics is not an option anymore – this is the fact accepted by the majority of the data professionals.
Join us for this webinar to know about the modern virtual data landscapes including:
- Virtual Data Fabric
- Data Mesh
- Multi-Cloud Hybrid architecture
and to learn how to leverage Denodo Data Virtualization platform to implement these modern data architectures.
Speaker: Vince Leat, Industry Consulting Executive, Teradata
Large enterprises need a partner who has done it before. Teradata has successfully implemented AI across multiple industries, proving the technology as well as producing material business outcomes. Teradata continues to channel IP from successful, field-based AI client engagements into accelerators that lead to faster time to value and reduce the risk of custom AI initiatives. Hear how Teradata helps customers build opportunities derived from AI.
Multi-Cloud Data Integration with Data Virtualization (APAC)Denodo
Watch full webinar here: https://bit.ly/3cnw5MW
More and more organization are adopting multi-cloud strategies to provide greater flexibility, cost savings, and performance optimization. Even when organizations commit to a single cloud provider, they often have data and applications spread across different cloud regions to support different business units or geographies. The result of this is a high distributed infrastructure that makes finding and accessing the data needed for reporting and analytics even more challenging.
The Denodo Platform Multi-Location Architecture provides quick and easy managed access to data while still providing local control to the 'data owners' and complying with local privacy and data protection regulations (think GDPR and CCPA!).
In this on-demand session, you will learn about:
- The challenges facing organizations as they adopt multi-cloud data strategies
- How the Denodo Platform provides a managed data access layer across the organization
- The different multi-location architectures that can maximize local control over data while still making it readily available
- How organizations have benefited from using the Denodo Platform as a multi-cloud data access layer
Global Business Intelligence (BI) software vendor, Yellowfin, and Actian Corporation, pioneers of the record-breaking analytical database Vectorwise, will host a series of Big Data and BI Best Practices Webinars.
These are the slides from that presentation.
The Big Data & BI Best Practices Webinars and associated slides examine the phenomenal growth in business data and outline strategies for effectively, efficiently and quickly harnessing and exploring ‘Big Data’ for competitive advantage.
Unlocking Greater Insights with Integrated Data Quality for CollibraPrecisely
Data is arguably your company’s greatest asset, and a thoughtful data governance strategy, along with robust tools like Collibra Data Governance Center (DGC), is essential to getting the most value from that data. However, even the best data governance programs will falter without data quality.
Data governance systems provide a framework for the policies, processes, rules, roles and responsibilities that help you manage your enterprise data. But they don’t give you insight into the characteristics and quality of that data – such as errors, outliers and issues – nor how the data changes over time.
During this webinar, we discuss how seamlessly integrating Trillium DQ with Collibra DGC creates a complete data governance solution that delivers rapid insights into the health of your data, ensuring trust and compliance with organizational policies and plans. We demonstrate how data is automatically exchanged between the tools so users can:
• Quickly establish the rules needed to support policies
• Evaluate their data against those rules on an ongoing basis
• Identify problems or improvements with their data quality to take action
How to Leverage the Cloud for Business Solutions | Strata Data Conference Lon...MapR Technologies
IT budgets are shrinking, and the move to next-generation technologies is upon us. The cloud is an option for nearly every company, but just because it is an option doesn’t mean it is always the right solution for every problem.
Most cloud providers would prefer that every customer be tightly coupled with their proprietary services and APIs to create lock-in with that cloud provider. The savvy customer will leverage the cloud as infrastructure and stay loosely bound to a cloud provider. This creates an opportunity for the customer to execute a multicloud strategy or even a hybrid on-premises and cloud solution.
Jim Scott explores different use cases that may be best run in the cloud versus on-premises, points out opportunities to optimize cost and operational benefits, and explains how to get the data moved between locations. Along the way, Jim discusses security, backups, event streaming, databases, replication, and snapshots across a variety of use cases that run most businesses today.
An Introduction to the MapR Converged Data PlatformMapR Technologies
Listen to the webinar on-demand: http://info.mapr.com/WB_Partner_CDP_Intro_EMEA_DG_17.05.31_RegistrationPage.html
In this 90-minute webinar, we discuss:
- The MapR Converged Data Platform and its components
- Use cases for the Converged Data Platform
- MapR Converged Partner Program
- How to get started with MapR
- Becoming a partner
Spark and MapR Streams: A Motivating ExampleIan Downard
Businesses are discovering the untapped potential of large datasets and data streams through the use of technologies for big data processing and storage. By leveraging these assets they’re creating a new generation of applications that derive value from data they used to throw away. In this presentation Ian Downard shows how to build operational environments for these types of applications with the MapR Converged Data Platform and he describes examples of a next-generation applications that use Java APIs for MapR Streams, Apache Spark, Apache Hive, and MapR-DB. He shows how these technologies can be used to join and transform unbounded datasets to find signals and derive new data streams for a financial scenario involving real-time algorithmic trading and historical analysis using SQL. He also discusses how MapR enables you to run real-time data applications with the speed, reliability, and security you need for a production environment.
Self-Service Data Science for Leveraging ML & AI on All of Your DataMapR Technologies
MapR has launched the MapR Data Science Refinery which leverages a scalable data science notebook with native platform access, superior out-of-the-box security, and access to global event streaming and a multi-model NoSQL database.
3 Benefits of Multi-Temperature Data Management for Data AnalyticsMapR Technologies
SAP® HANA and SAP® IQ are popular platforms for various analytical and transactional use cases. If you’re an SAP customer, you’ve experienced the benefits of deploying these solutions. However, as data volumes grow, you’re likely asking yourself: How do I scale storage to support these applications? How can I have one platform for various applications and use cases?
You’re not the only one still loading your data into data warehouses and building marts or cubes out of it. But today’s data requires a much more accessible environment that delivers real-time results. Prepare for this transformation because your data platform and storage choices are about to undergo a re-platforming that happens once in 30 years.
With the MapR Converged Data Platform (CDP) and Cisco Unified Compute System (UCS), you can optimize today’s infrastructure and grow to take advantage of what’s next. Uncover the range of possibilities from re-platforming by intimately understanding your options for density, performance, functionality and more.
Fast and Furious: From POC to an Enterprise Big Data Stack in 2014MapR Technologies
View this webinar presentation as CenturyLink Technology Solutions (Formerly Savvis) and MapR as we deconstruct and demystify “the enterprise big data stack.” We provide you with a more holistic view of the landscape, explore use cases to show how you can derive business value from it, and share best practices for navigating through the fragmented big data environment.
Changes in how business is done combined with multiple technology drivers make geo-distributed data increasingly important for enterprises. These changes are causing serious disruption across a wide range of industries, including healthcare, manufacturing, automotive, telecommunications, and entertainment. Technical challenges arise with these disruptions, but the good news is there are now innovative solutions to address these problems. http://info.mapr.com/WB_Geo-distributed-Big-Data-and-Analytics_Global_DG_17.05.16_RegistrationPage.html
Integrating Hadoop into your enterprise IT environmentMapR Technologies
http://bit.ly/1M8gzAM – As the old saying goes, "it's not what you do, but how you do it" that makes all the difference. The benefits of Hadoop are well-documented as mainstream adoption continues to grow. However, as with any new technology, integrating Hadoop with your existing data management infrastructure is crucial for getting the maximum value from its capabilities.
Join us for a special roundtable webcast on July 10th to learn how to do it the right way. Gain a deeper understanding of the fundamentals of Hadoop and its growing ecosystem, the key considerations for modifying your current data management practices and the types of Big Data applications you'll be able to build.
Enabling Real-Time Business with Change Data CaptureMapR Technologies
Machine learning (ML) and artificial intelligence (AI) enable intelligent processes that can autonomously make decisions in real-time. The real challenge for effective ML and AI is getting all relevant data to a converged data platform in real-time, where it can be processed using modern technologies and integrated into any downstream systems.
Predictive Maintenance Using Recurrent Neural NetworksJustin Brandenburg
My presentation from AnacondaCON 2018 where I discussed using Recurrent Neural Networks, Python, Tensorflow and the MapR Platform to develop deploy a predictive maintenance model for an IoT device in the manufacturing industry.
How Data-Driven Approaches are Changing Your Data Management Strategies
Introducing data-driven strategies into your business model alters the way your organization manages and provides information to your customers, partners and employees. Gone are the days of “waterfall” implementation strategies from relational data to applications within a data center. Now, data-driven business models require agile implementation of applications based on information from all across an organization–on-premises, cloud, and mobile–and includes information from outside corporate walls from partners, third-party vendors, and customers. Data management strategies need to be ready to meet these challenges or your new and disruptive business models will fail at the most critical time: when your customers want to access it.
Big Data Hadoop Briefing Hosted by Cisco, WWT and MapR: MapR Overview Present...ervogler
Learn more about how MapR gives you the most technologically advanced distribution for Hadoop, with the product, services, and partner network to ensure production success and continued success.
Many organizations are struggling to understand Big Data, what it is, and how to best harness it. Generated by mobile devices, social media, click streams, machines, applications, and more, data is exploding at an exponential rate from sources that are increasingly complex and varied.
How do you manage and leverage both structured and unstructured data? How do you use advanced analytics to gain new insights, find anomalies, correlations, and answers that can transform the business?
Learn how enterprises are implementing Hadoop to get the answers to these questions and more.
At Postgres Vision 2018, Lauren Nelson, Principal Analyst, Forrester, provided a look into the practical considerations that are influencing modern cloud strategies, including existing skill sets and technology limitations, the assortment of current and future cloud workloads, and the economics and realities of today's technology options.
Converged and Containerized Distributed Deep Learning With TensorFlow and Kub...Mathieu Dumoulin
Docker containers running on Kubernetes combine with MapR Converged Data Platform allow any company to potentially enjoy the same sophisticated data infrastructure for enabling teams to engage in transformative machine learning and deep learning for production use at scale.
MapR announced a few new releases in 2017, and we want to go over those exciting new products and features that are available now. We’d like to invite our customers and partners to this webinar in which members of the MapR product team will share details about the latest updates.
MapR is an ideal scalable platform for data science and specifically for operationalizing machine learning in the enterprise. This presentations gives specific reasons why.
Similar to Big Data LDN 2017: How to leverage the cloud for Business Solutions (20)
Blueprint Series: Banking In The Cloud – Ultra-high Reliability ArchitecturesMatt Stubbs
Data architecture for a challenger bank.Speaker: Jason Maude, Head of Technology Advocacy, Starling BankSpeaker Bio: Jason Maude is a coder, coach, and public speaker. He has over a decade of experience working in the financial sector, primarily in creating and delivering software. He is passionate about explaining complex technical concepts to those who are convinced that they won't be able to understand them. He currently works at Starling Bank as their Head of Technology Advocacy and host of the Starling podcast.Filmed at Skills Matter/Code Node London on 9th May 2019 as part of the Big Data LDN Meetup Blueprint Series.Meetup sponsored by DataStax.
Speed Up Your Apache Cassandra™ Applications: A Practical Guide to Reactive P...Matt Stubbs
Speaker: Cedrick Lunven, Developer Advocate, DataStax
Speaker Bio: Cedrick is a Developer Advocate at DataStax where he finds opportunities to share his passions by speaking about developing distributed architectures and implementing reference applications for developers. In 2013, he created FF4j, an open source framework for Feature Toggle which he still actively maintains. He is now contributor in JHipster team.
Talk Synopsis: We have all introduced more or less functional programming and asynchronous operations into our applications in order to speed up and distribute treatments (e.g., multi-threading, future, completableFuture, etc.). To build truly non-blocking components, optimize resource usage, and avoid "callback hell" you have to think reactive—everything is an event.
From the frontend UI to database communications, it’s now possible to develop Java applications as fully reactive with frameworks like Spring WebFlux and Reactor. With high throughput and tunable consistency, applications built on top of Apache Cassandra™ fit perfectly within this pattern.
DataStax has been developing Apache Cassandra drivers for years, and in the latest version of the enterprise driver we introduced reactive programming.
During this session we will migrate, step by step, a vanilla CRUD Java service (SpringBoot / SpringMVC) into reactive with both code review and live coding. Bring home a working project!
Filmed at Skills Matter/Code Node London on 9th May 2019 as part of the Big Data LDN Meetup Blueprint Series.
Meetup sponsored by DataStax.
Blueprint Series: Expedia Partner Solutions, Data PlatformMatt Stubbs
Join Anselmo for an engaging overview of the new end-to-end data architecture at Expedia Group, taking a journey through cloud and on-prem data lakes, real-time and batch processes and streamlined access for data producers and consumers. Find out how the new architecture unifies a complex mix of data sources and feeds the data science development cycle. Expedia might appear to be a market-leading travel company – in reality, it’s a highly successful technology and data science company.
Blueprint Series: Architecture Patterns for Implementing Serverless Microserv...Matt Stubbs
Richard Freeman talks about how the data science team at JustGiving built KOALA, a fully serverless stack for real-time web analytics capture, stream processing, metrics API, and storage service, supporting live data at scale from over 26M users. He discusses recent advances in serverless computing, and how you can implement traditionally container-based microservice patterns using serverless-based architectures instead. Deploying Serverless in your organisation can dramatically increase the delivery speed, productivity and flexibility of the development team, while reducing the overall running, DevOps and maintenance costs.
Big Data LDN 2018: DATABASE FOR THE INSTANT EXPERIENCEMatt Stubbs
Date: 14th November 2018
Location: Customer Experience Theatre
Time: 12:30 - 13:00
Speaker: David Maitland
Organisation: Redis Labs
About: This session will cover the technology underpinning at the software infrastructure level required to deliver the instant experience to the end user and enterprises alike. Use cases and value derived by major brands will be shared in this insightful session based the world's most loved database REDIS.
Big Data LDN 2018: BIG DATA TOO SLOW? SPRINKLE IN SOME NOSQLMatt Stubbs
Date: 14th November 2018
Location: Customer Experience Theatre
Time: 11:50 - 12:20
Speaker: Perry Krug
Organisation: Couchbase
About: Who wants to see an ad today for the shoes they bought last week? Everyone knows that customer experience is driven by data: don't waste an opportunity to get them the right data at the right time. Real-time results are critical, but raw speed isn't everything: you need power and flexibility to react to changes on the fly. Come learn how market-leading enterprises are using Couchbase as their speed layer for ingestion, incremental view and presentation layers alongside Kafka, Spark and Hadoop to liberate their data lakes.
Big Data LDN 2018: ENABLING DATA-DRIVEN DECISIONS WITH AUTOMATED INSIGHTSMatt Stubbs
Date: 13th November 2018
Location: Customer Experience Theatre
Time: 11:50 - 12:20
Speaker: Charlotte Emms
Organisation: seenit
About: How do you get your colleagues interested in the power of data? Taking you through Seenit’s journey using Couchbase's NoSQL database to create a regular, fully automated update in an easily digestible format.
Big Data LDN 2018: DATA MANAGEMENT AUTOMATION AND THE INFORMATION SUPPLY CHAI...Matt Stubbs
Date: 14th November 2018
Location: Governance and MDM Theatre
Time: 10:30 - 11:00
Speaker: Mike Ferguson
Organisation: IBS
About: For most organisations today, data complexity has increased rapidly. In the area of operations, we now have cloud and on-premises OLTP systems with customers, partners and suppliers accessing these applications via APIs and mobile apps. In the area of analytics, we now have data warehouse, data marts, big data Hadoop systems, NoSQL databases, streaming data platforms, cloud storage, cloud data warehouses, and IoT-generated data being created at the edge. Also, the number of data sources is exploding as companies ingest more and more external data such as weather and open government data. Silos have also appeared everywhere as business users are buying in self-service data preparation tools without consideration for how these tools integrate with what IT is using to integrate data. Yet new regulations are demanding that we do a better job of governing data, and business executives are demanding more agility to remain competitive in a digital economy. So how can companies remain agile, reduce cost and reduce the time-to-value when data complexity is on the up?
In this session, Mike will discuss how companies can create an information supply chain to manufacture business-ready data and analytics to reduce time to value and improve agility while also getting data under control.
Date: 13th November 2018
Location: Governance and MDM Theatre
Time: 12:30 - 13:00
Organisation: Immuta
About: Artificial intelligence is rising in importance, but it’s also increasingly at loggerheads with data protection regimes like the GDPR—or so it seems. In this talk, Sophie will explain where and how AI and GDPR conflict with one another, and how to resolve these tensions.
Big Data LDN 2018: REALISING THE PROMISE OF SELF-SERVICE ANALYTICS WITH DATA ...Matt Stubbs
Date: 13th November 2018
Location: Governance and MDM Theatre
Time: 11:50 - 12:20
Speaker: Mark Pritchard
Organisation: Denodo
About: Self-service analytics promises to liberate business users to perform analytics without the assistance of IT, and this in turn promises to free IT to focus on enhancing the infrastructure.
Join us to learn how data virtualization will allow you to gain real-time access to enterprise-wide data and deliver self-service analytics. We will explore how you can seamlessly unify fragmented data, replace your high-maintenance and high cost data integrations with a single, low-maintenance data virtualization layer; and how you can preserve your data integrity and ensure data lineage is fully traceable.
Big Data LDN 2018: TURNING MULTIPLE DATA LAKES INTO A UNIFIED ANALYTIC DATA L...Matt Stubbs
Date: 13th November 2018
Location: Governance and MDM Theatre
Time: 11:10 - 11:40
Organisation: TIBCO
About: The big data phenomenon continues to accelerate, resulting in multiple data lakes at most organisations. However, according to Gartner, “Through 2019, 90% of the information assets from big data analytic efforts will be siloed and unusable across multiple business processes.”
Are you ready to unleash this data from these silos and deliver the insights your organisation needs to drive compelling customer experiences, innovative new products and optimized operations? In this session you will learn how to apply data virtualisation to: - Access, transform and deliver data from across your lakes, clouds and other data sources - Empower a range of analytic users and tools with all the data they need - Move rapidly to a modern and flexible data architecture for the long run In addition, you will see a demonstration of data virtualisation in action.
Big Data LDN 2018: CONSISTENT SECURITY, GOVERNANCE AND FLEXIBILITY FOR ALL WO...Matt Stubbs
Date: 14th November 2018
Location: Data-Driven Ldn Theatre
Time: 12:30 - 13:00
Organisation: Cloudera
About: The growth of public cloud is reinforcing the need to think more carefully about taking a consistent approach to data governance as technology teams build out a flexible and agile infrastructure to meet the demands of the business.
Join this session to learn more about Cloudera's recommended approach for enterprise-grade security and governance and how to ensure a consistent framework across private, public and on-premises environments.
Big Data LDN 2018: MICROLISE: USING BIG DATA AND AI IN TRANSPORT AND LOGISTICSMatt Stubbs
Date: 14th November 2018
Location: Data-Driven Ldn Theatre
Time: 11:10 - 11:40
Organisation: Microlise
About: Microlise are a leading provider of technology solutions to the transport and logistics industry worldwide. Discover how, with over 400,000 connected assets generating billions of messages a day, Microlise is evolving its platform to bring real-time analytics to its customers to improve safety, security and efficiency outcomes.
Big Data LDN 2018: EXPERIAN: MAXIMISE EVERY OPPORTUNITY IN THE BIG DATA UNIVERSEMatt Stubbs
Date: 14th November 2018
Location: Data-Driven Ldn Theatre
Time: 10:30 - 11:00
Speaker: Anna Matty
Organisation: Experian
About: Today there is a widespread focus on the 'how' in relation to problem solving. How can we gain better knowledge of what consumers want, or need? How can we be more efficient, reduce the cost to serve, or grow the lifetime value of a customer? But, how do you move to a place where you are not only solving a problem, you are redesigning the entire strategic potential of that problem? You are being armed with insight on what the problem is.
Data and innovation offer huge potential to revolutionise all markets. There is an opportunity to be one step ahead of the need, to redesign journeys and enhance enterprise strategies. To do this you need access to the most advanced analytics but also the best quality, including variations and types of data, and then the technology that can act on this insight. Data science can present a unique opportunity for uncovered growth and accelerate your business through strategic innovation – fast. In this session you will hear more about how today's analytics can move from a single task, to an ongoing strategic opportunity. An opportunity that helps you move at the speed of the market and helps you maximise every opportunity.
Big Data LDN 2018: A LOOK INSIDE APPLIED MACHINE LEARNINGMatt Stubbs
Date: 13th November 2018
Location: Data-Driven Ldn Theatre
Time: 13:10 - 13:40
Speaker: Brian Goral
Organisation: Cloudera
About: The field of machine learning (ML) ranges from the very practical and pragmatic to the highly theoretical and abstract. This talk describes several of the challenges facing organisations that want to leverage more of their data through ML, including some examples of the applied algorithms that are already delivering value in business contexts.
Big Data LDN 2018: DEUTSCHE BANK: THE PATH TO AUTOMATION IN A HIGHLY REGULATE...Matt Stubbs
Date: 13th November 2018
Location: Data-Driven Ldn Theatre
Time: 12:30 - 13:00
Speaker: Paul Wilkinson, Naveen Gupta
Organisation: Cloudera
About: Investment banks are faced with some of the toughest regulatory requirements in the world. In a market where data is increasing and changing at extraordinary rates the journey with data governance never ends.
In this session, Deutsche Bank will share their journey with big data and explain some of the processes and techniques they have employed to prepare the bank for today’s challenges and tomorrow’s opportunities.
Brought to you by Naveen Gupta, VP Software Engineering, Deutsche Bank and Paul Wilkinson, Principal Solutions Architect, Cloudera.
Big Data LDN 2018: FROM PROLIFERATION TO PRODUCTIVITY: MACHINE LEARNING DATA ...Matt Stubbs
Date: 14th November 2018
Location: Self-Service Analytics Theatre
Time: 13:50 - 14:20
Speaker: Stephanie McReynolds
Organisation: Alation
About: Raw data is proliferating at an enormous rate. But so are our derived data assets - hundreds of dashboards, thousands of reports, millions of transformed data sets. Self-service analytics have ensured that this noise is making it increasingly hard to understand and trust data for decision-making. This trust gap is holding your organisation back from business outcomes.
European analytics leaders have found a way to close the gap between data and decision-making. From MunichRe to Pfizer and Daimler, analytics teams are adopting data catalogues for thousands of self-service analytics users.
Join us in this session to hear how data catalogues that activate data by incorporating machine learning can:
• Increase analyst productivity 20-40%
• Boost the understanding of the nuances of data and
• Establish trust in data-driven decisions with agile stewardship
Big Data LDN 2018: DATA APIS DON’T DISCRIMINATEMatt Stubbs
Date: 13th November 2018
Location: Self-Service Analytics Theatre
Time: 15:50 - 16:20
Speaker: Nishanth Kadiyala
Organisation: Progress
About: The exploding API economy, combined with an advanced analytics market projected to reach $30 billion by 2019, is forcing IT to expose more and more data through APIs. Business analysts, data engineers, and data scientists are still not happy because their needs never really made it into the existing API strategies. This is because most APIs are designed for application integration, but not for the data workers who are looking for APIs that facilitate direct data access to run complex analytics. Data APIs are specifically designed to provide that frictionless data access experience to support analytics across standard interoperable interfaces such as OData (REST) or ODBC/JDBC (SQL). Consider expanding your API strategy to service the developers with open analytics in this $30 billion market.
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/