IDC predicts the overall big data and analytics market will hit $125 billion in 2015 as organizations increasingly seek to gain insight and competitive advantage from their ever-increasing volumes of data. Learn how Dell's broad portfolio of flexible, scalable and cost-effective storage solutions with cutting-edge flash, intelligent data placement, and software-defined technologies deliver a more agile and efficient data infrastructure to better achieve these goals.
Data Ninja Webinar Series: Realizing the Promise of Data LakesDenodo
Watch the full webinar: Data Ninja Webinar Series by Denodo: https://goo.gl/QDVCjV
The expanding volume and variety of data originating from sources that are both internal and external to the enterprise are challenging businesses in harnessing their big data for actionable insights. In their attempts to overcome big data challenges, organizations are exploring data lakes as consolidated repositories of massive volumes of raw, detailed data of various types and formats. But creating a physical data lake presents its own hurdles.
Attend this session to learn how to effectively manage data lakes for improved agility in data access and enhanced governance.
This is session 5 of the Data Ninja Webinar Series organized by Denodo. If you want to learn more about some of the solutions enabled by data virtualization, click here to watch the entire series: https://goo.gl/8XFd1O
Data Lake Acceleration vs. Data Virtualization - What’s the difference?Denodo
Watch full webinar here: https://bit.ly/3hgOSwm
Data Lake technologies have been in constant evolution in recent years, with each iteration primising to fix what previous ones failed to accomplish. Several data lake engines are hitting the market with better ingestion, governance, and acceleration capabilities that aim to create the ultimate data repository. But isn't that the promise of a logical architecture with data virtualization too? So, what’s the difference between the two technologies? Are they friends or foes? This session will explore the details.
Weet u nog waar uw bedrijfsdata zich bevindt? Uw data bevindt zich (straks) overal. In samenwerking met Commvault laten we zien, hoe uw organisatie ‘in control’ kan blijven over én meerwaarde kan geven aan uw data ongeacht of deze zich on-premise, in de cloud of op een end-user device bevindt.
Presentatie 9 juni 2016
Data Virtualization: An Essential Component of a Cloud Data LakeDenodo
Watch full webinar here: https://bit.ly/33GgqE9
Data Lake strategies seem to have found their perfect companion in cloud providers. After years of criticism and struggles in the on-prem Hadoop world, data lakes are flourishing thanks to the simplification in management and low storage prices provided by SaaS vendors. For some, this is the ultimate data strategy. For others, just a repetition of the same mistakes. Attend this session to learn:
- The benefits and shortcoming of cloud data lakes
- The role and value of data virtualization in this scenario
- New development in data virtualization for cloud
Give Your Organization Better, Faster Insights & Answers with High Performanc...Dell World
From modeling and simulating new products to analyzing ‘Big Data’ for insights into customer behaviors, achieving better results faster can be crucial for competitive advantages and success. High performance computing (HPC), long used for academic/government research, has gone mainstream, and is now used by companies and organizations in all fields—from finance to pharmaceuticals, from marketing to manufacturing, from e-commerce to engineering, from healthcare to homeland defense. Dell is a leader in HPC and can help you get better, faster insights and answers, no matter what your organization desires to achieve.
Data Vault 2.0 DeMystified with Dan Linstedt and WhereScapeWhereScape
Join Dan Linstedt and WhereScape to learn the benefits that Data Vault 2.0 offers to data warehousing teams, what it is and isn't, and how data vault automation can help teams implement Data Vault 2.0 more quickly and successfully.
Data Ninja Webinar Series: Realizing the Promise of Data LakesDenodo
Watch the full webinar: Data Ninja Webinar Series by Denodo: https://goo.gl/QDVCjV
The expanding volume and variety of data originating from sources that are both internal and external to the enterprise are challenging businesses in harnessing their big data for actionable insights. In their attempts to overcome big data challenges, organizations are exploring data lakes as consolidated repositories of massive volumes of raw, detailed data of various types and formats. But creating a physical data lake presents its own hurdles.
Attend this session to learn how to effectively manage data lakes for improved agility in data access and enhanced governance.
This is session 5 of the Data Ninja Webinar Series organized by Denodo. If you want to learn more about some of the solutions enabled by data virtualization, click here to watch the entire series: https://goo.gl/8XFd1O
Data Lake Acceleration vs. Data Virtualization - What’s the difference?Denodo
Watch full webinar here: https://bit.ly/3hgOSwm
Data Lake technologies have been in constant evolution in recent years, with each iteration primising to fix what previous ones failed to accomplish. Several data lake engines are hitting the market with better ingestion, governance, and acceleration capabilities that aim to create the ultimate data repository. But isn't that the promise of a logical architecture with data virtualization too? So, what’s the difference between the two technologies? Are they friends or foes? This session will explore the details.
Weet u nog waar uw bedrijfsdata zich bevindt? Uw data bevindt zich (straks) overal. In samenwerking met Commvault laten we zien, hoe uw organisatie ‘in control’ kan blijven over én meerwaarde kan geven aan uw data ongeacht of deze zich on-premise, in de cloud of op een end-user device bevindt.
Presentatie 9 juni 2016
Data Virtualization: An Essential Component of a Cloud Data LakeDenodo
Watch full webinar here: https://bit.ly/33GgqE9
Data Lake strategies seem to have found their perfect companion in cloud providers. After years of criticism and struggles in the on-prem Hadoop world, data lakes are flourishing thanks to the simplification in management and low storage prices provided by SaaS vendors. For some, this is the ultimate data strategy. For others, just a repetition of the same mistakes. Attend this session to learn:
- The benefits and shortcoming of cloud data lakes
- The role and value of data virtualization in this scenario
- New development in data virtualization for cloud
Give Your Organization Better, Faster Insights & Answers with High Performanc...Dell World
From modeling and simulating new products to analyzing ‘Big Data’ for insights into customer behaviors, achieving better results faster can be crucial for competitive advantages and success. High performance computing (HPC), long used for academic/government research, has gone mainstream, and is now used by companies and organizations in all fields—from finance to pharmaceuticals, from marketing to manufacturing, from e-commerce to engineering, from healthcare to homeland defense. Dell is a leader in HPC and can help you get better, faster insights and answers, no matter what your organization desires to achieve.
Data Vault 2.0 DeMystified with Dan Linstedt and WhereScapeWhereScape
Join Dan Linstedt and WhereScape to learn the benefits that Data Vault 2.0 offers to data warehousing teams, what it is and isn't, and how data vault automation can help teams implement Data Vault 2.0 more quickly and successfully.
Is Software Defined Storage (SDS) getting hijacked? It seems every vendor, old and new, is claiming that their storage is “software defined”. The original intent was to create software-only solutions that could be deployed on the customer’s choice of servers. But that original intent has evolved, and now hardware vendors are providing what they claim to be software defined storage solutions too. In addition, SDS is being combined with an embedded compute function to create hyper-converged solutions as well.
In this webinar we will discuss the differences in these approaches and you will learn what the four key deliverables of a SDS solution should be so you can decide which makes the most sense for your organization.
Virtualisation de données : Enjeux, Usages & BénéficesDenodo
Watch full webinar here: https://bit.ly/3oah4ng
Gartner a récemment qualifié la Data Virtualisation comme étant une pièce maitresse des architectures d’intégration de données.
Découvrez :
- Les bénéfices d’une plateforme de virtualisation de données
- La multiplication des usages : Lakehouse, Data Science, Big Data, Data Service & IoT
- La création d’une vue unifiée de votre patrimoine de données sans transiger sur la performance
- La construction d’une architecture d’intégration Agile des données : on-premise, dans le cloud ou hybride
How to select a modern data warehouse and get the most out of it?Slim Baltagi
In the first part of this talk, we will give a setup and definition of modern cloud data warehouses as well as outline problems with legacy and on-premise data warehouses.
We will speak to selecting, technically justifying, and practically using modern data warehouses, including criteria for how to pick a cloud data warehouse and where to start, how to use it in an optimum way and use it cost effectively.
In the second part of this talk, we discuss the challenges and where people are not getting their investment. In this business-focused track, we cover how to get business engagement, identifying the business cases/use cases, and how to leverage data as a service and consumption models.
2020 Cloud Data Lake Platforms Buyers Guide - White paper | QuboleVasu S
Qubole's buyer guide about how cloud data lake platform helps organizations to achieve efficiency & agility by adopting an open data lake platform and why data lakes are moving to the cloud
https://www.qubole.com/resources/white-papers/2020-cloud-data-lake-platforms-buyers-guide
This is a presentation that NuoDB CTO, Seth Proctor gave at a Breakfast Seminar
Seth has 15+ years of experience in the research, design and implementation of scalable systems. His particular focus is on how to make technology scale and how to make users scale effectively with their systems.
Hadoop World 2011: I Want to Be BIG - Lessons Learned at Scale - David "Sunny...Cloudera, Inc.
SGI has been a leading commercial vendor of Hadoop clusters since 2008. Leveraging SGI's experience with high performance clusters at scale, SGI has delivered individual Hadoop clusters of up to 4000 nodes. Integration, performance, and management all become issues at scale, and Hadoop clusters scale! In this presentation, SGI will discuss representative customer use cases, major design considerations for performance and power optimization, how integrated Hadoop solutions leveraging CDH, SGI Rackable clusters, and SGI Management Center best meet customer needs, and how SGI envisions the needs of enterprise customers evolving as Hadoop continues to move into mainstream adoption.
Put your Data Warehouse in Cloud which is faster, cheaper and better; then focus only on Business development and everything else is taken by the Cloud Service Provider.
Data Virtualization Deployments: How to Manage Very Large DeploymentsDenodo
This presentation explores key features in the Denodo Platform that help with the common challenges found in large deployments: hundreds of developers, thousands of queries, and multiple environments. The features that will be highlighted include integration with version control systems, metadata synchronization and migration, monitoring and diagnosing, and resource management.
This presentation is part of the Fast Data Strategy Conference, and you can watch the video here goo.gl/L7HQF9.
Scaling Multi-Cloud Deployments with Denodo: Automated Infrastructure ManagementDenodo
Watch full webinar here: https://bit.ly/3oWR1Bl
The future of infrastructure management lies in automation. In this session, Denodo subject matter expert will talk about how in a multi-cloud scenario, the infrastructure can be automatically managed transparently via a web GUI. Audience will get to see that in action through a live demo.
How to Achieve Fast Data Performance in Big Data, Logical Data Warehouse, and...Denodo
Performance is a key consideration for organizations looking to implement big data, logical data warehouse, and operational use cases. In this presentation, the technology expert demonstrates the performance aspects of using data virtualization to accelerate the delivery of fast data to end consumers.
This presentation is part of the Fast Data Strategy Conference, and you can watch the video here goo.gl/YMPhvE.
Why Data Mesh Needs Data Virtualization (ASEAN)Denodo
Watch full webinar here: https://bit.ly/3Betgsw
Data mesh is a new decentralized paradigm for data analytics that aims to remove bottlenecks and take data decisions closer to those who understand the data. To minimize data silos, avoid duplication of effort, and ensure consistency, the data mesh paradigm proposes a unified infrastructure enabling domains to create and share data products while enforcing standards for interoperability, quality, governance, and security.
Data virtualization solutions like the Denodo Platform have been designed precisely to provide a unified, governed, and secure data layer on top of multiple distributed data systems, so they are a natural fit for implementing data mesh principles.
What you will learn?
- Why data virtualization is a key foundation for data mesh
- How data virtualization supports data mesh concepts
- How data virtualization enables domains to quickly implement data products by creating virtual models on top of any data source
Maximize Your Data Warehouse Modernization Efforts Through AutomationWhereScape
As your organization's data sources rapidly proliferate, so does the challenge of managing an ever-growing and changing data ecosystem. Join us on November 19 for a special online encore presentation of our recent sold-out PASS Summit Lunch and Learn. Attend and hear how data warehousing teams are using automation to quickly and efficiently understand, harness, construct and manage the dataflows and pipelines organizations require in today’s ever-changing data management environment.
During this webcast, you will hear how successful data warehousing teams are:
- Meeting the challenge of changing data ecosystems head on by modernizing data warehousing tools and methods
- Turning to automation to design, develop, deploy and operate new and existing data warehouses, data vaults, data marts and other data infrastructure faster
- Better arming their teams as they work to help them more easily manage the changing data landscape in the cloud, on-premises or a hybrid of the two
Webinar - Delivering Enhanced Message Processing at Scale With an Always-on D...DataStax
Managing 3.8 million e-prescriptions daily for more than 1 million healthcare professionals is no small feat. And, with rapid growth in the number of digital transactions and expansion of its network, Surescripts needed to replace its legacy relational database system to address a new set of data management challenges while meeting their customers’ demanding SLAs. Join us for this on-demand webinar to hear from Keith Willard, Chief Architect at Surescripts, to learn how and why Surescripts leverages DataStax Enterprise to deliver enhanced message processing at scale.
View recording: https://youtu.be/1T6V1XAoaJQ
Explore all DataStax webinars: https://www.datastax.com/resources/webinars
Net App Syncsort Integrated Backup Solution SheetMichael Hudak
NetApp has core technology for
block-level data protection .
What does Syncsort add?
A: Syncsort leverages NetApp core technology while adding the following: Heterogeneous application support for Exchange,Oracle, SQL• Deeper integration with VMware for advanced,
automated recovery scenarios• Catalog search and restore across disk-based backup• A catalog that spans both disk and tape• Recovery from SnapMirror DR destinations• Automated Bare Metal Recovery
Data Vault 2.0 Demystified: East Coast TourWhereScape
Dan Linstedt, inventor of Data Vault 2.0, explained why many see Data Vault as the trend of the future for Data Warehousing.
During the event, attendees heard how Data Vault 2.0 can help their teams:
- Manage and enforce compliance to Sarbanes-Oxley, HIPPA, and BASIL II in your Enterprise Data Warehouse
- Spot business problems that were never visible previously
- Rapidly reduce business cycle time for implementing changes
- Merge new business units into the organization rapidly
- Achieve rapid ROI and delivery of information to new Star Schemas
- Consolidate disparate data stores, tackling Master Data Management
- Implement and deploy Service-Oriented Architecture fast
- Scale efficiently to hundreds of Terabytes or Petabytes
- Reach SEI CMM Level 5 compliance (repeatable, consistent, redundant architecture)
- More easily trace all of your data back to the source system
Accelerate Self-Service Analytics with Data Virtualization and VisualizationDenodo
Watch full webinar here: https://bit.ly/39AhUB7
Enterprise organizations are shifting to self-service analytics as business users need real-time access to holistic and consistent views of data regardless of its location, source or type for arriving at critical decisions.
Data Virtualization and Data Visualization work together through a universal semantic layer. Learn how they enable self-service data discovery and improve performance of your reports and dashboards.
In this session, you will learn:
- Challenges faced by business users
- How data virtualization enables self-service analytics
- Use case and lessons from customer success
- Overview of the highlight features in Tableau
ADV Slides: The Evolution of the Data Platform and What It Means to Enterpris...DATAVERSITY
Thirty years is a long time for a technology foundation to be as active as relational databases. Are their replacements here?
In this webinar, we look at this foundational technology for modern Data Management and show how it evolved to meet the workloads of today, as well as when other platforms make sense for enterprise data.
Is Software Defined Storage (SDS) getting hijacked? It seems every vendor, old and new, is claiming that their storage is “software defined”. The original intent was to create software-only solutions that could be deployed on the customer’s choice of servers. But that original intent has evolved, and now hardware vendors are providing what they claim to be software defined storage solutions too. In addition, SDS is being combined with an embedded compute function to create hyper-converged solutions as well.
In this webinar we will discuss the differences in these approaches and you will learn what the four key deliverables of a SDS solution should be so you can decide which makes the most sense for your organization.
Virtualisation de données : Enjeux, Usages & BénéficesDenodo
Watch full webinar here: https://bit.ly/3oah4ng
Gartner a récemment qualifié la Data Virtualisation comme étant une pièce maitresse des architectures d’intégration de données.
Découvrez :
- Les bénéfices d’une plateforme de virtualisation de données
- La multiplication des usages : Lakehouse, Data Science, Big Data, Data Service & IoT
- La création d’une vue unifiée de votre patrimoine de données sans transiger sur la performance
- La construction d’une architecture d’intégration Agile des données : on-premise, dans le cloud ou hybride
How to select a modern data warehouse and get the most out of it?Slim Baltagi
In the first part of this talk, we will give a setup and definition of modern cloud data warehouses as well as outline problems with legacy and on-premise data warehouses.
We will speak to selecting, technically justifying, and practically using modern data warehouses, including criteria for how to pick a cloud data warehouse and where to start, how to use it in an optimum way and use it cost effectively.
In the second part of this talk, we discuss the challenges and where people are not getting their investment. In this business-focused track, we cover how to get business engagement, identifying the business cases/use cases, and how to leverage data as a service and consumption models.
2020 Cloud Data Lake Platforms Buyers Guide - White paper | QuboleVasu S
Qubole's buyer guide about how cloud data lake platform helps organizations to achieve efficiency & agility by adopting an open data lake platform and why data lakes are moving to the cloud
https://www.qubole.com/resources/white-papers/2020-cloud-data-lake-platforms-buyers-guide
This is a presentation that NuoDB CTO, Seth Proctor gave at a Breakfast Seminar
Seth has 15+ years of experience in the research, design and implementation of scalable systems. His particular focus is on how to make technology scale and how to make users scale effectively with their systems.
Hadoop World 2011: I Want to Be BIG - Lessons Learned at Scale - David "Sunny...Cloudera, Inc.
SGI has been a leading commercial vendor of Hadoop clusters since 2008. Leveraging SGI's experience with high performance clusters at scale, SGI has delivered individual Hadoop clusters of up to 4000 nodes. Integration, performance, and management all become issues at scale, and Hadoop clusters scale! In this presentation, SGI will discuss representative customer use cases, major design considerations for performance and power optimization, how integrated Hadoop solutions leveraging CDH, SGI Rackable clusters, and SGI Management Center best meet customer needs, and how SGI envisions the needs of enterprise customers evolving as Hadoop continues to move into mainstream adoption.
Put your Data Warehouse in Cloud which is faster, cheaper and better; then focus only on Business development and everything else is taken by the Cloud Service Provider.
Data Virtualization Deployments: How to Manage Very Large DeploymentsDenodo
This presentation explores key features in the Denodo Platform that help with the common challenges found in large deployments: hundreds of developers, thousands of queries, and multiple environments. The features that will be highlighted include integration with version control systems, metadata synchronization and migration, monitoring and diagnosing, and resource management.
This presentation is part of the Fast Data Strategy Conference, and you can watch the video here goo.gl/L7HQF9.
Scaling Multi-Cloud Deployments with Denodo: Automated Infrastructure ManagementDenodo
Watch full webinar here: https://bit.ly/3oWR1Bl
The future of infrastructure management lies in automation. In this session, Denodo subject matter expert will talk about how in a multi-cloud scenario, the infrastructure can be automatically managed transparently via a web GUI. Audience will get to see that in action through a live demo.
How to Achieve Fast Data Performance in Big Data, Logical Data Warehouse, and...Denodo
Performance is a key consideration for organizations looking to implement big data, logical data warehouse, and operational use cases. In this presentation, the technology expert demonstrates the performance aspects of using data virtualization to accelerate the delivery of fast data to end consumers.
This presentation is part of the Fast Data Strategy Conference, and you can watch the video here goo.gl/YMPhvE.
Why Data Mesh Needs Data Virtualization (ASEAN)Denodo
Watch full webinar here: https://bit.ly/3Betgsw
Data mesh is a new decentralized paradigm for data analytics that aims to remove bottlenecks and take data decisions closer to those who understand the data. To minimize data silos, avoid duplication of effort, and ensure consistency, the data mesh paradigm proposes a unified infrastructure enabling domains to create and share data products while enforcing standards for interoperability, quality, governance, and security.
Data virtualization solutions like the Denodo Platform have been designed precisely to provide a unified, governed, and secure data layer on top of multiple distributed data systems, so they are a natural fit for implementing data mesh principles.
What you will learn?
- Why data virtualization is a key foundation for data mesh
- How data virtualization supports data mesh concepts
- How data virtualization enables domains to quickly implement data products by creating virtual models on top of any data source
Maximize Your Data Warehouse Modernization Efforts Through AutomationWhereScape
As your organization's data sources rapidly proliferate, so does the challenge of managing an ever-growing and changing data ecosystem. Join us on November 19 for a special online encore presentation of our recent sold-out PASS Summit Lunch and Learn. Attend and hear how data warehousing teams are using automation to quickly and efficiently understand, harness, construct and manage the dataflows and pipelines organizations require in today’s ever-changing data management environment.
During this webcast, you will hear how successful data warehousing teams are:
- Meeting the challenge of changing data ecosystems head on by modernizing data warehousing tools and methods
- Turning to automation to design, develop, deploy and operate new and existing data warehouses, data vaults, data marts and other data infrastructure faster
- Better arming their teams as they work to help them more easily manage the changing data landscape in the cloud, on-premises or a hybrid of the two
Webinar - Delivering Enhanced Message Processing at Scale With an Always-on D...DataStax
Managing 3.8 million e-prescriptions daily for more than 1 million healthcare professionals is no small feat. And, with rapid growth in the number of digital transactions and expansion of its network, Surescripts needed to replace its legacy relational database system to address a new set of data management challenges while meeting their customers’ demanding SLAs. Join us for this on-demand webinar to hear from Keith Willard, Chief Architect at Surescripts, to learn how and why Surescripts leverages DataStax Enterprise to deliver enhanced message processing at scale.
View recording: https://youtu.be/1T6V1XAoaJQ
Explore all DataStax webinars: https://www.datastax.com/resources/webinars
Net App Syncsort Integrated Backup Solution SheetMichael Hudak
NetApp has core technology for
block-level data protection .
What does Syncsort add?
A: Syncsort leverages NetApp core technology while adding the following: Heterogeneous application support for Exchange,Oracle, SQL• Deeper integration with VMware for advanced,
automated recovery scenarios• Catalog search and restore across disk-based backup• A catalog that spans both disk and tape• Recovery from SnapMirror DR destinations• Automated Bare Metal Recovery
Data Vault 2.0 Demystified: East Coast TourWhereScape
Dan Linstedt, inventor of Data Vault 2.0, explained why many see Data Vault as the trend of the future for Data Warehousing.
During the event, attendees heard how Data Vault 2.0 can help their teams:
- Manage and enforce compliance to Sarbanes-Oxley, HIPPA, and BASIL II in your Enterprise Data Warehouse
- Spot business problems that were never visible previously
- Rapidly reduce business cycle time for implementing changes
- Merge new business units into the organization rapidly
- Achieve rapid ROI and delivery of information to new Star Schemas
- Consolidate disparate data stores, tackling Master Data Management
- Implement and deploy Service-Oriented Architecture fast
- Scale efficiently to hundreds of Terabytes or Petabytes
- Reach SEI CMM Level 5 compliance (repeatable, consistent, redundant architecture)
- More easily trace all of your data back to the source system
Accelerate Self-Service Analytics with Data Virtualization and VisualizationDenodo
Watch full webinar here: https://bit.ly/39AhUB7
Enterprise organizations are shifting to self-service analytics as business users need real-time access to holistic and consistent views of data regardless of its location, source or type for arriving at critical decisions.
Data Virtualization and Data Visualization work together through a universal semantic layer. Learn how they enable self-service data discovery and improve performance of your reports and dashboards.
In this session, you will learn:
- Challenges faced by business users
- How data virtualization enables self-service analytics
- Use case and lessons from customer success
- Overview of the highlight features in Tableau
ADV Slides: The Evolution of the Data Platform and What It Means to Enterpris...DATAVERSITY
Thirty years is a long time for a technology foundation to be as active as relational databases. Are their replacements here?
In this webinar, we look at this foundational technology for modern Data Management and show how it evolved to meet the workloads of today, as well as when other platforms make sense for enterprise data.
Accelerating Business Through Next Generation StorageDell World
Simplicity, flexibility and cost-savings are but a few of the virtues driving the rapid growth of software-defined storage (SDS) offerings. Hear how Dell’s broad x86 server portfolio enables us to deliver the most extensive range of SDS offerings in the industry—from hyper-converged appliances to software-only options to open-source solutions—helping organizations of all sizes find a storage solution that best meets their needs and objectives.
Big Data Made Easy: A Simple, Scalable Solution for Getting Started with HadoopPrecisely
With so many new, evolving frameworks, tools, and languages, a new big data project can lead to confusion and unwarranted risk.
Many organizations have found Data Warehouse Optimization with Hadoop to be a good starting point on their Big Data journey. Offloading ETL workloads from the enterprise data warehouse (EDW) into Hadoop is a well-defined use case that produces tangible results for driving more insights while lowering costs. You gain significant business agility, avoid costly EDW upgrades, and free up EDW capacity for faster queries. This quick win builds credibility and generates savings to reinvest in more Big Data projects.
A proven reference architecture that includes everything you need in a turnkey solution – the Hadoop distribution, data integration software, servers, networking and services – makes it even easier to get started.
The Software Based Data Center. Is It For You?Dell World
As more and more IT organizations experience the benefits of server virtualization, expanding to a broader implementation that encompasses networking and storage seems like the next logical step. But is it for you? In this session, discover the benefits of tomorrow's software-based data centers and learn how they can help maximize the delivery of IT services.
Data Lakehouse, Data Mesh, and Data Fabric (r1)James Serra
So many buzzwords of late: Data Lakehouse, Data Mesh, and Data Fabric. What do all these terms mean and how do they compare to a data warehouse? In this session I’ll cover all of them in detail and compare the pros and cons of each. I’ll include use cases so you can see what approach will work best for your big data needs.
ADV Slides: Platforming Your Data for Success – Databases, Hadoop, Managed Ha...DATAVERSITY
Thirty years is a long time for a technology foundation to be as active as relational databases. Are their replacements here? In this webinar, we say no.
Databases have not sat around while Hadoop emerged. The Hadoop era generated a ton of interest and confusion, but is it still relevant as organizations are deploying cloud storage like a kid in a candy store? We’ll discuss what platforms to use for what data. This is a critical decision that can dictate two to five times additional work effort if it’s a bad fit.
Drop the herd mentality. In reality, there is no “one size fits all” right now. We need to make our platform decisions amidst this backdrop.
This webinar will distinguish these analytic deployment options and help you platform 2020 and beyond for success.
Data Lakehouse, Data Mesh, and Data Fabric (r2)James Serra
So many buzzwords of late: Data Lakehouse, Data Mesh, and Data Fabric. What do all these terms mean and how do they compare to a modern data warehouse? In this session I’ll cover all of them in detail and compare the pros and cons of each. They all may sound great in theory, but I'll dig into the concerns you need to be aware of before taking the plunge. I’ll also include use cases so you can see what approach will work best for your big data needs. And I'll discuss Microsoft version of the data mesh.
Logical Data Lakes: From Single Purpose to Multipurpose Data Lakes (APAC)Denodo
Watch full webinar here: https://bit.ly/3aePFcF
Historically data lakes have been created as a centralized physical data storage platform for data scientists to analyze data. But lately the explosion of big data, data privacy rules, departmental restrictions among many other things have made the centralized data repository approach less feasible. In this webinar, we will discuss why decentralized multipurpose data lakes are the future of data analysis for a broad range of business users.
Attend this session to learn:
- The restrictions of physical single purpose data lakes
- How to build a logical multi purpose data lake for business users
- The newer use cases that makes multi purpose data lakes a necessity
Dell Solutions Tour 2014
Jan Bjelde Manager, Enterprise Solution Group, Dell Norway
Arild Hansen System Enginer Server, Dell Norway
Løsninger for Software defined and konvergert datasenter
Gjennomgang av Dell VRTX som kan være verdens minste Konvergerte infrastruktur, et komplett konvergert og virtuelt datasenter ogkomponent i en Software Defined Storage løsning (SDS) “Softwared defined datasenter (SDDC) snur opp ned på tradisjonelle enterprise løsninger.Lagring lagres i server plattformer (SDS). Programvare i nettverket flyttes til virtuelle plattformer (SDN+NFV). Infrastruktur forenkles og enten leveres som stack’er i konvergert infrastruktur eller som standardiserte server plattformer (Hyper konvergens). Dell kommer med både moderniseringsstrategier og løsninger for det moderne datasenteret. Dell har mange nye produkter somoptimaliseres for det software definerte datasenter eller som konvergert infrastruktur for det virtuelle datasenter eller for SAP eller Oracle type workloads.»
Data Driven Advanced Analytics using Denodo Platform on AWSDenodo
Watch full webinar here: https://buff.ly/3JC8gCS
Accelerating cloud adoption and modernizing analytics in the cloud has become a necessity to facilitate timely, insightful, and impactful decision making. However, with the widespread data in an organization across disparate hybrid cloud data sources poses a challenge with real time and well governed analytics. Data Virtualization is a modern data integration technique in which a single semantic layer can be built to help drive data democratization and speed up the analytics in an efficient and cost-effective manner.
Watch this session to learn:
- How various AWS services (Redshift, S3, RDS) can be quickly integrated using Denodo Platform’s logical data management by implementing a logical data fabric (LDF)
- How LDF helps you manage and deliver your data for data science and analytics programs, supporting your business users.
- How governed Data Services layer enables self-service analytics in your complex AWS data landscape
DAMA & Denodo Webinar: Modernizing Data Architecture Using Data Virtualization Denodo
Watch here: https://bit.ly/2NGQD7R
In an era increasingly dominated by advancements in cloud computing, AI and advanced analytics it may come as a shock that many organizations still rely on data architectures built before the turn of the century. But that scenario is rapidly changing with the increasing adoption of real-time data virtualization - a paradigm shift in the approach that organizations take towards accessing, integrating, and provisioning data required to meet business goals.
As data analytics and data-driven intelligence takes centre stage in today’s digital economy, logical data integration across the widest variety of data sources, with proper security and governance structure in place has become mission-critical.
Attend this session to learn:
- Learn how you can meet cloud and data science challenges with data virtualization.
- Why data virtualization is increasingly finding enterprise-wide adoption
- Discover how customers are reducing costs and improving ROI with data virtualization
Building a scalable analytics environment to support diverse workloadsAlluxio, Inc.
Data Orchestration Summit 2020 organized by Alluxio
https://www.alluxio.io/data-orchestration-summit-2020/
Building a scalable analytics environment to support diverse workloads
Tom Panozzo, Chief Technology Officer (Aunalytics)
About Alluxio: alluxio.io
Engage with the open source community on slack: alluxio.io/slack
Big Data Fabric: A Necessity For Any Successful Big Data InitiativeDenodo
Watch this webinar in full here: https://buff.ly/2IxM8Iy
Watch all webinars from the Denodo Packed Lunch webinar series here: https://buff.ly/2IR3q6w
While big data initiatives have become necessary for any business to generate actionable insights, big data fabric has become a necessity for any successful big data initiative. The best of breed big data fabrics should deliver actionable insights to the business users with minimal effort, provide end-to-end security to the entire enterprise data platform and provide real-time data integration, while delivering self-service data platform to business users.
Attend this session to learn how big data fabric enabled by data virtualization:
• Provides lightning fast self-service data access to business users
• Centralizes data security, governance and data privacy
• Fulfills the promise of data lakes to provide actionable insights
Continua il ciclo di webinar in collaborazione con Veritas Technologies.
In questo secondo appuntamento abbiamo visto le soluzioni Veritas di Software Defined Storage.
Il settore IT è oggi una delle aree aziendali maggiormente impattate dal fenomeno dell’aumento esponenziale dei dati. Conseguentemente, gli IT Manager devono far fronte all'aumento dei costi e della complessità per l’implementazione di soluzioni di Storage atte a contenere la crescita del volume dei dati.
Al tempo stesso essi devono operare delle scelte orientate a soluzioni in grado di soddisfare i livelli prestazionali sempre più elevati richiesti dalle nuove applicazioni di business mantenendo altresì la funzionalità di quelle legacy.
L’implementazione di hardware NAS ad alte prestazioni o l’adozione di soluzioni storage di tipo diversificato non rappresentano oggi la soluzione ideale dal punto di vista degli impatti economici e di gestione. Sono infatti disponibili nuove tecnologie, sviluppate proprio in risposta all'esigenza di efficientamento e al contenimento dei costi, che permettono di realizzare infrastrutture che consentono di massimizzare l’utilizzo delle soluzioni storage già presenti nel Data Center e l’adozione si soluzioni Object Storage.
Allo scopo Veritas presenta la propria linea di soluzioni Software Defined Storage.
VMworld 2013: Dell Solutions for VMware Virtual SAN VMworld
VMworld 2013
Sheetal Kochavara, VMware
Bryan Martin, Dell Inc.
Learn more about VMworld and register at http://www.vmworld.com/index.jspa?src=socmed-vmworld-slideshare
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3. Organizations actively using data grow 50%
faster than laggards.
50%
39% 42%
( 2 0 14 ) ( 2 0 1 5 )
The number of
organizations who
understand the
benefits of big data
grew slightly.
Source: Dell Global Technology Adoption Index, 2015
4. 44% of organizations still aren’t sure how to
approach big data.
In organizations that
have big data but are
not yet using it,
the top barrier is not
knowing if the
benefits are worth
the cost.
In organizations
currently using
big data, the top
barrier when
extracting insights
is the cost of the IT
infrastructure.
29%
The second biggest barrier is securing the data, 28%.
20%
Source: Dell Global Technology Adoption Index, 2015
5. What is big data?
Capture
Manage
Analyze
Results in datasets too large or
complex for typical database or
data management tools to…
Volume
A large amount of
data, growing at rapid
rates
Information of increasing…
Velocity
Data that must be
processed at high speed
to facilitate rapid decisions
Variety
Wide range of data
types and structure
6. How data is moved and prepared
for analysis
Data integration, aggregation
and transformation
Where data
originates
Databases
Social media
Sensor data
Devices
LOB applications
Cloud
External sources
Where data is
analyzed
Analytical engine
Business
intelligence
In-memory
computing
Enterprise data
warehouse
Dell Storage has aligned its capabilities to
address big data.
7. Comprehensive | Agile | Powerful | Scalable | Flexible
Customers
Analytics
Turn data into better and
faster actionable insights
Integration
Move data in real time between
on and off premise sources
Statistica
Statistica Big Data
PowerEdge
Dell Storage
Dell Networking
Dell Boomi
Toad Intelligence Central
ManagementServices Security Dell Financial ServicesInfrastructure
Toad
Cloudera Hadoop
Consulting
Design
Deployment
SecureWorks
SonicWall
Financing
Leasing
Asset recovery
Dell advantage: a complete big data and
analytics portfolio
8. Hours
Hours/Days
Days/Years
Real-Time Processing
Apache Spark
Apache Storm
Apache Ignite
Kafka
In Mem Cache
Redis
IMDGrid
Hazelcast
In Mem FileSystem
IgniteFS
Tachyon
Analytics Store
Actian
Pivotal
Exadata
Astor Data
MarkLogic
Vertica
No-SQL Based
Hbase MarkLogic
MongoDB ElasticSerach
Cassandra
SQL Based
MemSQL
VoltDB
Big data architecture
Real-time processing Operational store Archive
On the wire “Fast Data” Fast ingest and analytics Analytics storage
Data
Sources
Data Warehouse
Teradata
DB2 WH
Diverse storage requirements
Performance/Latency Price/Performance Scale/TCO
9. Hours
Hours/Days
Days/Years
Big data architecture
Diverse storage requirements
Performance/Latency Price/Performance Scale/TCO
Real-time processing Operational store Archive
On the wire “Fast Data” Fast ingest and analytics Analytics storage
Data
Sources
All flash arrays
In-Memory / NVME / SSD Servers-DAS Dense Servers
Scale out FS
SW Defined
SAN Arrays
10. Dell Storage strategy: anticipated trends
Converge to single
stack architecture
Accelerate flash
leadership
Build on software-
defined storage
momentum
• Single architecture delivering
seamless data flow across:
Tier 0
All flash and hybrid flash
Unified block & file
Scale-out file and dense
storage
• Simple, common architecture
from entry to enterprise
• Industry-leading Total Cost of
Ownership
• Drive industry adoption
with lowest $/GB.
• Flexible architecture
combines performance
with capacity.
• Future ready flash design
accommodates new
technology.
• Industry’s broadest portfolio of
SDS solutions
• Hardened and functional SDS
solutions running
• Runs on optimized hardware
with Tier 1 global service and
support.
11. Track Record
ProjectedFlash tiering
Track record
20162013 2014 2015
Projected flash prices
SCFlashPrices($/GB)Dell is leading the flash-optimized revolution.
Track Record
Projected
$-
$2.00
$1.00
$3.00
$4.00 MLC only
Compression 1.0
TLC Drives
Dedupe
Compression 2.0
12. Driving success and accessibility for flash
SSD capacity shipped in
hybrid arrays, 1H14
Dell hybrid shipments now
2x NetApp, 6x HP, 10x Nimble
Trajectory – SSDs capacity in hybrid arrays (TBs)
Dell year-over-year growth: 115%
Source: IDC Report: “Worldwide All-Flash Array and Hybrid Flash Array 2014–
2018 Forecast and 1H14 Vendor Shares” November 2014, IDC #252304
13. Dell Storage architecture
Enterprise class
performance and
scale
Server based tier 0 flash
memory
Scale-out file
• High performance
• Large scale common
name space
Unified block & file
mid-range array
• General purpose
All flash and hybrid
Cost optimized archive
• Fluid FS, dedupe,
compression dense
solutions
• Industry standard hardware
• Next generation virtualized storage stack
• Integrations into traditional new paradigm
applications and environments
Common
Architecture
Common Management
Enterprise features
Multi protocol
15. Dell software defined portfolio
Hyper-Converged Scalable SDS solutions
Choice: Broad portfolio of enterprise class infrastructure
Innovation: Optimized hardware and monitoring
Reliability and assurance: Global services and support
Dell XC Series
Powered by Nutanix
Dell’s VSAN Ready
Nodes &EVO:RAIL
Validated Dell HW +
MS Storage Spaces
Dell Scality
Ref Configs
Validated Dell HW
+ Nexenta SW
PowerEdge + RedHat
Ceph + Openstack
Hyper converged;
Fast time to value;’
Multi-Hypervisor
Hyper-converged;
Integrated VMware
Management
OS Integrated storage
with Integrated
Windows Mgt
Flexible & cost
effective for large
scale Object & File
Highly flexible
storage built on
opensource ZFS
Opensource
technology with
Openstack ties
20. The bottom line
• SLA is now always met
• Worst queries dropped from 17 minutes to 4 seconds.
• Up to 4000% improvement in some workloads
• On average 785% improvement
• No more phone calls
• Cheaper to deploy, better user experience, faster
technology stack
21. Accelerate business, your way.
Start
today
Schedule an enterprise IT
consultation to learn how
Dell future ready solutions
can move your business
forward.
For more information, please visit
Dell.com/FutureReady