Welcome to the big data and data management community on BrightTALK. Join thousands of data quality engineers, data scientists, database administrators and other professionals to find more information about the hottest topics affecting your data. Subscribe now to learn about efficiently storing, optimizing a complex infrastructure, developing governing policies, ensuring data quality and analyzing data to make better informed decisions. Join the conversation by watching live and on-demand webinars and take the opportunity to interact with top experts and thought leaders in the field.
The growing adoption of Hadoop and Spark has increased the demand for Big Data management solutions that operate at scale and meet business requirements. However, Big Data organizations realize quickly that scaling from small, pilot projects to large-scale production clusters involves a steep learning curve. Despite tremendous progress, there remain critically important area, including multi-tenancy, performance optimization, and workflow monitoing where the DevOps team still needs management help. In this webinar, field engineer Kirk Lewis discusses the top considerations when choosing a big data management and performance solution.
In this webinar, you will learn how to use SAS to enhance the security, reporting and analytical capabilities of Microsoft Office while eliminating any data size restrictions. Regardless of your skill level, you will be able to harness the power of SAS from the Microsoft Office environment and take it from good to great!
During the webinar attendees will see how they can use Microsoft Office to:
* Access data from multiple sources.
* Create historical analysis and use predictive analytics.
* Disseminate findings to key stakeholders.
Today, 91% of companies are ingesting data from third party partners to run their businesses. Additionally, 70% of companies either currently send or plan to send data to partners. This inter-company data collaboration powers insights, machine learning, and better consumer experiences. But, it also increases workloads for strapped engineering teams and creates challenges to data access. Learn how companies are streamlining and even automating their Data Operations to accelerate the time from data to business value.
Enterprises are building big data solutions with Azure Data Lake, an on-demand, real-time stream processing service with a no-limits data lake built to support massively parallel analytics. Patterns of enterprise solutions are emerging and evolving as customers migrate their analytics workloads to the cloud and embrace new business opportunities. With an overview of Azure Data Lake, this webinar briefly explores some of the choices customers are making in building big data solutions with Azure Data Lake.
The journey to cloud is an evolution not a revolution Data management issues get amplified in the cloud because of a complex landscape across cloud and on-premise applications. When you are moving data around, data security, data governance and data quality should be a top priority. Join Joe McKendrick from Forbes and Anthony Smith, Head of Technology Solutions at JLL to discover:
•How to get the architecture right and understand what data goes to cloud and what stays on-premises, and what data management brings to the table around data quality, data security, and data governance.
•Best practices on embracing both cloud and on-premises to scale flexibly and innovate faster to meet with accessible, secure and relevant data
•How JLL is embracing both cloud and on-premise worlds for flexibility and faster development of best of breed solutions irrespective of where they are hosted. Hybrid is about digital innovations at JLL helping us scale flexibly and innovate faster to meet our customers’ needs with innovative solutions.
Getting started on an IoT project? Are you going to build a business or a liability for yourself? Canonical commissioned a research of 361 IoT professionals to find out how their projects are progressing. The findings were compiled in a report titled Defining IoT Business Models, which explored the practices of organisations currently implementing IoT projects. You can read it for yourself at http://ubunt.eu/vkTPIW
In this webinar, Canonical's EVP of Devices & IoT and 451 Research's IoT Analyst will discuss our findings as well as the challenges and opportunities businesses will face with the internet of things!
Join our webinar to find out...
>How businesses can monetise the internet of things in the long term
>What skills they need and where to find them
>How to address fundamental security considerations.
Talend provides the data agility businesses need to use the latest cloud technologies to act with insight across their organization and win in an economy being deeply transformed by exploding data volumes, technology innovation, and fundamental changes to the IT infrastructure. Join us to learn how Talend and Qubole together help companies’ business users execute data preparation workloads in the cloud at a fraction of the cost and resources.
In the biological sciences, hypothesis-driven experiments and bottom-up design experiments rely on predicting what will happen with new cells and molecules. Machine learning excels at prediction and has become more democratized, making it an important component in the biotech toolkit. We use Merck's Kaggle competition as a representative task in this domain that involves predicting molecular activity from numeric descriptors of chemical structure. Our approach utilizes deep neural networks using the Keras library in a Qubole notebook, which is conveniently attached to an autoscaled Spark cluster. We use Spark to distribute the hyperparameter search for optimizing the neural net.
Real estate developers, owners and tenants are rethinking the office building experience. Not only are buildings becoming increasingly efficient in in-door energy management and operations, they are also beginning to interact with the people who work within the walls, and with the out of doors environment.
This type of sentient building design is making use of increased connectivity to and in buildings, as well as the use of sensors and IoT applications. This webcast will discuss communications and connectivity infrastructure that is being deployed in and to current real estate developments; what buiding owners, operators and tenants expect; the impact smart community development is having on smart buildings; and sample smart building IoT applications.
Yann Palmore, Vice President, Smart Building Solutions, JLL
Ray Moya, COO/CTO, Argent Associates, Inc.
>> Yann Palmore helps CRE investors, owners, and operators understand how to rethink building system infrastructure to support Internet of Things (IoT) technologies and drive smart building strategies. Yann’s key responsibilities are to guide clients through a structured process that prioritizes program goals, defines specific smart building strategies, specifies appropriate technologies, and oversees program implementation.
>> Ray Moya has over 25 years of network engineering and organizational management experience. His specializations include, wireline and wireless voice and data networks, network security, software development, and finance. He has designed, engineered and installed hundreds of Fortune 500 Company and Government networks. He leads network-consulting teams in LAN/WAN, software development, wireless technologies, and Network security.
For more about the speakers, please visit: http://www.tiaonline.org/webcast-iot-and-smart-buildings-new-construct
Join 451 Research and CenturyLink on the 20th September at 3:00pm UK time, 4:00pm CET, to discuss how enterprises are choosing and deploying digital transformation initiatives for business gain. This webinar will focus on the strategies and actions impacting the European market.
Organisations of all sizes and in every sector are busy redefining their IT priorities for a digital future, identifying the goals of enhanced customer experience, operational efficiency, business agility and improved risk management as four key pillars for their digital transformation strategies.
Digital transformation can play out differently depending on a company’s maturity, the vertical sector in which it operates, its employees, its infrastructure, and its ability to innovate. Knowing where to start, and how to maintain momentum is critical.
Join 451 Research and CenturyLink to learn how European enterprises are making assured first steps, and discover the following:
- Understand how companies with more progressive digital transformation strategies are prioritising their efforts for competitive differentiation, changing the nature of their business with innovative technologies, and making service provider choices to accelerate results.
- Gain insights and recommendations from a major survey of the IT priorities of enterprises in Europe.
- Identify the key shifts in business context that will continue to shape digitisation efforts, and how these need to be reflected in a digital transformation roadmap for IT organisations.
SAP Education is launching a series of 30 minute live interactive sessions on Wednesdays as from September 13th. You will join thought leaders to find out how your company can benefit from SAP® Education best pratices to enable successful adoption of SAP S/4HANA in support of your transformation goals.
Journey from exploration and visualization to machine learning and natural language processing. Discover how Return Path built a cloud based, production ready, enterprise scale data solution without a dedicated Dev Ops team. Leveraging modern distributed computing frameworks like Spark and managed services like EMR and Qubole were key to the process.
Saavn is India’s leading music streaming service. Since context is key to music, we have built a system called Sniper that lets us identify cohorts of users in real-time and target them for marketing, advertising and recommendation purposes. This system allows us to understand user behavior by quantifying their engagement characteristics such as stream consumption, affinities or ads. Speed and scalability are critical to its design. This talk will cover our motivations behind building such a system and how big data technologies have helped us architect it.
HDFS on Kubernetes: Lessons Learned is a webinar presentation intended for software engineers, developers, and technical leads who develop Spark applications and are interested in running Spark on Kubernetes. Pepperdata has been exploring Kubernetes as potential Big Data platform with several other companies as part of a joint open source project.
In this webinar, Kimoon Kim will show you how to:
–Run Spark application natively on Kubernetes
–Enable Spark on Kubernetes read and write data securely on HDFS protected by Kerberos
For years IT has been tasked to produce, gather, and store large volumes of internal and external data. We’re now engaged in developing the infrastructure to support analysis of that data. A cloud-based, self-service, big-data model can be the answer and provide numerous benefits and efficiencies. But with those benefits, there are cultural, organizational and architectural hurdles to clear. We will discuss the challenges we faced at Scripps Networks Interactive, and the successful team and architectural outcomes that emerged.
In a rapidly evolving and digitized economy, the adoption of cloud services is accelerating for companies both small and large who want to remain competitive and relevant to their market and clients. Network transformation becomes critical for enterprises to support these cloud initiatives and in this context the emergence of SD-WAN is very timely. If you are considering SD-WAN to access cloud applications and leverage the Internet for your wide area network, this webinar will provide insight into real life SD-WAN deployment considerations. This knowledge will help you fast track your SD-WAN decision-making process and avoid costly mistakes.
Join this webinar to learn:
• How connectivity and security need to be a critical consideration of SD-WAN deployment, both at the data center and small branch office level
• How SD-WAN network analytics can provide you with detailed visibility into the behavior of your network and can help your IT organization better manage workload and performance
• Why it’s important to select a partner who is flexible and can offer choices from the design, deployment and management of the transformation
• And more
In any enterprise, one of the most prevalent security risks revolves around who has access to which resources. Whether data is being stored in a cloud solution or on-premises, there is a large challenge in knowing how to provide the correct privileges to associates. By using machine learning and clustering algorithms like the Louvain Method, we can group similar users in the Capital One network and create two valuable features: (1) automated onboarding and (2) automated “rogue access” detection. With the utilization of machine learning, we have allowed Capital One to become a more well-managed company, and have reduced a major cybersecurity threat. This talk will be a deep dive into the model, data engineering and productionization of the web application interface.
Most organizations today do not have an effective way of identifying sensitive data risks and where to apply proper data protection. This missing insight of sensitive-data risks challenges IT, compliance and security teams who need to provide and support data visibility, compliance, security and audit.
Secure@Source Version 4 provides breakthrough capabilities for identifying, analyzing, protecting and monitoring sensitive data. Version 4 provides visibility and control across unstructured and structured data for cloud, big data and relational data stores.
Discover the evolution of data science workflows implemented at Expedia with a special emphasis on Learning to Rank problems. This session will explore the process of industrializing the data science workflow and best practices on how to keep your data productive, or even pull your organization out of the data swamp.
Looker is the modern data platform that democratizes data analytics, creates meaningful insights, and powers critical business actions. The Looker platform allows you to analyze your data and act on it within a single interface, enabling both business users and analysts to add maximum value where it matters most. Stop jumping between tabs and tools - do it all in Looker.
At BloomReach we process around 100 million products everyday across all of our customers. For each customer, the feed processing needs to be fast and reliable, and while indexing there shouldn't be any impact on serving. We will walk over how we've built this in BloomReach while also making sure that the cost is minimal.
With 143 million personally identifiable records stolen, the recent Equifax data breach is one of the largest and most damaging cyber-attacks to date. Hackers may have accessed highly valuable information, including our social security numbers, addresses, birth dates and credit card information.
What can we do do contain the damage as consumers, as well as organizations? How can we move on from this breach?
Join this interactive panel discussion with cyber security experts across the spectrum to hear their thoughts on:
- The key takeaways consumers and enterprises should act on to protect against cyber scams and attacks related to this breach
- Managing IT risk and vulnerabilities
- How to improve breach prevention, detection and response
- What to expect in the future
- Igor Baikalov, Chief Scientist, Securonix
- Chris Petersen, CTO, SVP of R&D & Co-Founder, LogRhythm
- Sam Abadir, Director of Product Management, LockPath
Today the payments industry faces a rebirth by necessity. Financial institutions process massive volumes of customer and payments transaction data, much of it unstructured and untapped.
Cognitive Systems have the ability to understand, reason and learn. In Financial Services applying cognitive capabilities to real world payments issues like safer and faster payments is yielding significant results. Furthermore Risk and Compliance and segment of one engagement are areas where ROI is tremendous when leveraging advanced analytics and artificial intelligence in cohesion.
Learn from real world use cases of how financial institutions globally have gained significant competitive advantage by becoming a truly Cognitive Bank.
Winsupply sells residential and commercial construction and industrial supplies to their B2B customers via one of their 580 wholesaling locations or on their ecommerce site. The leading wholesaler’s home grown ERP system had evolved over the years, leaving its data disconnected with data quality issues and workflow challenges that would slow future growth. By centralizing and standardizing its data management, Winsupply is constructing a foundation of trusted product and customer data.
Join in to learn the approach the company adopted including the key success factors and lessons learned to more efficiently on-board products, improve product data quality and classification capabilities, and enhance e-commerce product search-ability.
This session will touch on several critical success factors that are common to all MDM implementations. We will explore activities that lay a strong foundation to minimize the cost and maximize value.
Cyberattacks are top of mind for organizations across the globe. In fact, 62 percent* of firms are being attacked at least weekly and 145 percent are experiencing a rise in the number of security threats. But do organizations have the processes in place to investigate and effectively respond to these incidents? IDC recently surveyed security decision makers at 600 organizations to understand the state of security operations today.
Join this webinar to hear from guest speaker Duncan Brown, associate vice president, security practice, IDC, and Jae Lee, security product marketing, Splunk, and discover:
● The time and associated cost security teams spend on incident response and how you compare to your peers
● How organizations are coping with an average of 40 actionable security incidents per week
● Where teams are focusing their security efforts
● Why an analytics-driven approach can make security investigation more efficient and effective, reducing costs and improving security posture
Join Tom Davenport and Jeanne Harris, analytics thought leaders and co-authors of the seminal book Competing on Analytics for a fireside chat where they’ll share key themes from the 10th anniversary edition of their book, Competing on Analytics, coming out in September.
The discussion will focus on examples of companies that have successfully reinvented themselves and are thriving in today’s data economy and discuss what you can do to better compete. The discussion will also dive into what's changed in the 10 years since the book came out, what's still largely the same, and what the most critical factors to analytics success are in today's environment.
Don’t miss this fascinating discussion about Reinvention in the Age of Analytics with Tom and Jeanne.
Join us Thursday, September 21st at 9am PT / 12pm ET.
Darwinism theorizes that a species must adapt to its environment, or risk extinction. Businesses face a similar dilemma when it comes to middleware: adapt to support today’s new digital transformation technologies or lose out to more evolved competitors.
Big data, the cloud, and the Internet of Things are disrupting the integration space in ways never seen before and legacy technologies such as Enterprise Service Bus (ESB) are holding many organizations back.
Explore possible paths forward with 451 Research Analyst Bill Fellows and Liaison CRO Rob Consoli. In this webinar, Bill and Rob will exposes the weaknesses of legacy middleware in the face of today's integration complexities and illustrate how modern cloud solutions such as Liaison's integration platform will ensure your organization not only survives this age of rapid digital transformation, but thrives!
Data governance, discovery and lineage help data scientists find and integrate data of interest to uncover otherwise hidden trends, anomalies, and powerful predictors of business successes and failures. Comcast’s Streaming Data Platform comprises a wide variety of ingest, transformation, and storage services. Peer-reviewed Apache Avro schemas support end-to-end data governance. Apache Atlas is our metadata repository for data discovery and lineage. We have extended Atlas with custom data and process types, eg.: avro schemas; AWS S3 buckets and prefixes; kafka topics; and kinesis streams. Custom asynchronous messaging libraries notify Atlas of new data and schema entities and lineage links as they are created.
The marketing team’s goal is to acquire new customers and grow existing customer spend. To do this, they must have customer data that is relevant, timely and trusted. Data-driven marketers don’t just manage their new marketing applications; they actively manage their data as a strategic asset. And, as with all strategic assets, that means putting in place rigorous systems of governance to define key dimensions and the metrics to control the data that defines them.
In this session, John Donlon, Senior Research Director, at SiriusDecisions discusses a seven-step process required within the marketing department for auditing, cleansing and managing data that is sustainable and delivers tangible results.
CardinalCommerce was acquired by Visa earlier this year for its critical role in payments authentication. Through predictive analytics and machine learning, Cardinal measures performance and behavior of the entire authentication process across checkout, issuing and ecosystem partners to recommend actions, reduce fraud and drive frictionless digital commerce.
With Databricks, CardinalCommerce simplified data engineering to improve the performance of their ETL pipeline by 200% while reducing operational costs significantly via automation, seamless integration with key technologies, and improved process efficiencies.
Join this webinar to learn how CardinalCommerce was able to:
-Simplify access to data across the organization
-Accelerate data processing by 200%
-Reduce EC2 costs through faster performance and automated infrastructure
-Visualize performance metrics to customers and stakeholders
This session will cover how Azure Machine Learning and R can help data scientists overcome the following challenges:
- Development Time - Dramatically reduce the time of running initial ML experiment validations.
- Performance - Option for best in class performance.
For deeper data science needs the session will explore how hard core data scientists can leverage R to attack the most complex scenarios. Finally we will explore Python integration on the Microsoft stack and what is new between CNTK and TensorFlow in Azure.
The Internet of Things (IoT) is empowering businesses with unprecedented ways to serve customers, rapidly solve problems, and optimize operations. Using IoT, savvy companies are transforming their products to enable the delivery of connected services that deliver new customer experiences and unlock new sources of revenue.
From enabling leaders in agribusiness to increase crop yields, to amplifying connected car innovation, Cisco Jasper Control Center cloud platform powers more than 5,000 companies in dozens of industries. Leveraging learnings from a decade of IoT experience, we’ll look at how real-world businesses are using IoT innovation to capture their share of this multi-billion-dollar opportunity.
- How IoT helps you drive successful business outcomes
- Best practices for accelerating your IoT service business
- Lessons from leaders that can help you work smarter and scale faster
With more data comes more users and now control and security is a concern. We want to share lessons learned via use cases from leaders in the industry and key considerations that drive adoption and expansion of data analytics tool use. This power session will help your enterprise define key success factors in order to avoid end user pitfalls, leverage familiar tools and achieve faster results.
Join us as Dave Shares:
- Use cases and results
- Reasons not to take data away
- Key factors to define success
About the Speakers:
David Mariani: CEO and Co-founder Dave Mariani is a Technology executive with 25 years of experience in delivering Big Data, Consumer Internet, Internet advertising and hosted services platforms, creating nearly $600 million of enterprise value. He has created the world’s largest data platforms including a trillion row Hive data warehouse at Klout and the world's largest cube at Yahoo!.
Bruno Aziza: Chief Marketing Officer Bruno Aziza has a Masters Degree in Economics and was educated in France, the U.K., Germany and the U.S. Prior to AtScale, Bruno ran Marketing at Microsoft, SAP/Business Objects and drove the ascension of big data startups like Alpine Data Labs and SiSense.
Continuous streams of data are generated in every industry from sensors, manufacturing IoT devices, business transactions, social media, network devices, clickstream logs, and more. Found within these streams of data are critical business insights that are waiting to be unlocked. Attend this session and learn how customers are creating solutions for fleet monitoring, smart grid, network monitoring, recommendations, and other real-time solutions to analyze multiple concurrent streams of data-in-motion into insights and actions for competitive advantage.
In this session you will see demos and learn how services like Azure Event Hubs, Stream Analytics, Machine Learning, and other Azure services work seamlessly together to create your end to end real-time analytics solutions.
We will look at how DevOps is making Data Science more mainstream with automation, release trains, agility and operational readiness. In this talk, we will look at the various tools and techniques in building a successful Data Science practice and how DevOps can be introduced to provide Continuous Integration, Delivery, and Deployment of Data Science Models.
Once considered the "black magic" of digitally-born retailers like Amazon, personalizing the customer experience has now become table stakes for any retailer interested in surviving in the era of digital transformation. the techniques, tools and scalable platforms necessary to optimize customer interactions are now available and accessible for use by companies of any shape or size. We'll discuss how the use of big data technology in the cloud eases the implementation of common retail use cases as well as how it helps to avoid typical pitfalls.
Today’s organizations are tasked with managing multiple data types, coming from a wide variety of sources. Faced with massive volumes and heterogeneous types of data, organizations are finding that in order to deliver insights in a timely manner, they need a data storage and analytics solution that offers more agility and flexibility than traditional data management systems. Every use case might be different and different use cases might need different tools. AWS provides a variety of options for your needs from RDS, EMR, Redshift, Athena and Quicksight. In this talk we will discuss the different technologies available on AWS and its application.
Muchas nuevas tendencias y realidades están acaparando los medios especializados en el sector de las TIC. Todos los actores relacionados de alguna manera con este mundo aseguran tener mensajes, productos, servicios o cualquier tipo de oferta para cada uno de los casos. La realidad suele ser más compleja, y con frecuencia los mensajes son inconexos.
Tendencias como la nube (en cualquiera de sus formas) y retos como la adopción de GDPR y el riesgo de amenazas de tipo ransomware pueden parecen a priori muy distantes entre sí. Sin embargo, la realidad es diferente.
Al fin y al cabo, estos tres conceptos están basados en datos. La nube nos permite mover, acceder o servir nuestros datos de una forma diferente; GDPR nos obliga a tener una visibilidad completa de todos nuestros datos para poder identificarlos, eliminarlos o presentarlos según demanda este marco legal, y por último el ransomware es una amenaza que secuestra y pide un rescate a cambio de devolvernos nuestros datos.
Los datos, por lo tanto, están en la raíz de estos retos, riesgos y oportunidades. Esto significa que una gestión y protección eficientes de dichos datos van a permitir estar mejor preparados para afrontar estas situaciones. Por ello, la visión unificada de Commvault aporta un valor diferencial.
Acompáñenos en este webinar, donde analizaremos:
•Cómo aplicar esta visión para mitigar los riesgos asociados con los ataques cada vez más frecuentes de ransomware
•Qué valor aportamos tanto a aquellos que quieran mover sus cargas a nube pública como a los que están transformando su modelo de IT interna hacia el “As a Service”
•Cómo ayudamos a estar más preparados para el cumplimiento de GDPR gracias a nuestro indexado de contenido y conocimiento detallado del dato corporativo
This webinar is focused on:
- Increasing collaborative friction between engineers, analysts, and business
- Process-driven iteration i.e. balancing agility with discipline
- Making the quantitative business case for moving from big bang to continuous enhancement (convincing your CFO/CIO to shift from CapEx to OpEx)
- Case studies and outcomes from our clients
There is a surge in hype around Artificial Intelligence. Startups are raising hundreds of millions of dollars by bedazzling investors with Deep Learning, word embeddings, and reinforcement learning. This is a distraction from the very real problems that data and AI can solve if done right. By working across dozens of machine learning problems that are live in the real world, I’ve worked out the most common problems encountered and recurring design patterns on how to solve real-world problems using AI as a tool. This talk will arm you with a perspective on how to get pragmatic solutions with AI today.
The question is not much whether to migrate to the cloud or not. That question has likely already been answered by many organizations and the answer is a resounding full steam ahead. But the start of the journey can be daunting especially with a lot of ‘as-a-service’ terminology floating around. Please join James Curtis, senior analyst at 451 Research, as he discusses not only some industry trends and what many organizations are doing but also a simplified approach to understanding cloud services and how that might best fit your organization. Because it’s not so much buyer beware; it’s more about buyer understand.