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.
Until recently, state of the art eDiscovery technology was only available to the largest law firms and corporations. Smaller firms and organizations were essentially priced out of the market and couldn’t afford the solutions that could be used by the “big boys” to manage their discovery workloads. Times have changed – thanks to cloud-based, software-as-a-service (“SaaS”) automated solutions that have made full-featured eDiscovery solutions affordable for even small and solo firms. This webcast* will discuss how SaaS automation technology has revolutionized eDiscovery for solo and small firms today.
+ How Automation and the Cloud is Affecting All Industries, including eDiscovery
+ Drivers for the eDiscovery Automation Revolution
+ The Impact of Automation and the Cloud on the Lawyer Job Market
+ The Evolution of eDiscovery Technology
+ Whip Me, Beat Me, Call Me EDna: Two Challenges, Seven Years Apart
+ Key Components of a SaaS eDiscovery Automation Solution
+ Cost Alternatives for SaaS eDiscovery Automation Solutions
+ Can Automation Really Disrupt the eDiscovery Industry?
Doug Austin: Doug is the VP of Operations and Professional Services for CloudNine. At CloudNine, Doug manages professional services consulting projects for CloudNine clients. Doug has over 25 years of experience providing legal technology consulting, technical project management and software development services to numerous commercial and government clients.
Karen DeSouza: Karen is the Director of Review Services and a Professional Services Consultant for CloudNine. Karen is a licensed attorney in Texas and has over 15 years of legal experience. She also has a Bachelor of Science in Legal Studies - American Jurisprudence.
From sequencer to archive, the genomics data lifecycle can be characterized by brief periods of intense parallel computation, followed by an eternity of relative data at rest. Ever since the mapping of the first human genome, single-tier scale-out NAS and parallel file systems have been the predominant types of storage used in genomics because they were best at providing both high performance when needed — and capacity forever. But they are expensive because that single-tier provides both high performance and capacity all the time, even though high performance is only briefly needed during the genomics data lifecycle. This webcast will demonstrate how HGST innovations in flash and object storage can target and optimize the two genomics lifecycle regimes, delivering extreme performance for computation with flash on the IBM Spectrum Scale parallel file system — and cost effectively keeping genomics data protected and accessible over increasingly longer retention periods with HGST ActiveScale object storage, with the ability to transparently migrate data between flash and object tiers.
Join this webinar to learn how to deploy a scalable and elastic architecture for Big Data analytics.
Hadoop and related technologies for Big Data analytics can deliver tremendous business value, and at a lower cost than traditional data management approaches. But early adopters have encountered challenges and learned lessons over the past few years.
In this webinar, we’ll discuss:
-The five worst practices in early Hadoop deployments and how to avoid them
-Best practices for the right architecture to meet the needs of the business
-The case study and Big Data journey for a large global financial services organization
-How to ensure highly scalable and elastic Big Data infrastructure
Discover the most common mistakes for Hadoop deployments – and learn how to deliver an elastic Big Data solution.
Enterprise customers and service providers have been researching ways to find a modern day storage solution so they can move away from the traditional monolithic infrastructure environments. Customers have been looking for ways to remove silos, reduce OPEX/CAPEX, create operational efficiency – all with large scale-out capabilities and cloud agilities without sacrificing performance.
This webinar is to share how customers can achieve these goals with a truly software-defined storage solution. Companies have transformed seamlessly from traditional storage environments to flexible, cloud-like agile environments.
Hear from Steadfast, a service provider leader, who enables their customer base to focus on their company priorities to grow the business instead of spending the unnecessary time to maintain and manage their traditional storage infrastructure.
In this session, you will hear about:
- The modern day storage-as-a-service infrastructure with high-performance, extreme scale-out flexibility and cloud agility
- How to eliminate manual data migration
- Fully automating the storage infrastructure
- Steadfast’s IT transformation
Learn how to apply TITUS classification metadata via integration with Symantec DLP FlexResponse. This video shows automatic classification as well as administrator-applied classification within Symantec DLP.
Designing and deploying an effective predictive analytics model that is integrated into a company’s daily business operations can be very challenging. Data scientists often use complex machine learning models to exploit large volumes of data from multiple environments and technologies to deliver analytics that the business needs.
Join us on this webcast as we walk you through the data science journey applied to a real case and learn how you can automate the entire data science workflow.
See how the integration of Dataiku, the collaborative data science platform, and Vertica, the ultra-fast analytics database platform with built-in machine learning, can help you speed the deployment of data-intensive predictive analytics.
Learn how to:
• Design connections to existing data sources with Dataiku
• Understand your datasets with built-in charting capabilities and data pre-aggregation
• Reduce the time it takes for the data preparation phase
• Leverage the scalability and speed of Vertica
GDPR (General Data Protection Regulation) is only a year away, and many organisations are still trying to understand what this new regulation means to them, and their data practices.
Join us for the final in a series of webinars which focus on how organisations can begin to action GDPR - this short session is all about creating a single place to access, maintain and administer Data Subjects and manage their Consent - with Master Data Management.
In the context of GDPR, a mastering process collects Subject Data from across the enterprise and a range of techniques are applied to match & merge data related to the same party, enabling an organization to accurately identify all records related to that data subject from a single place.
This session will cover:
-Essentials in the ‘right to be forgotten’ and SAR GDPR Clauses
-Benefits which can be achieved in addition to preparation for GDPR Compliance
-Live Demo of Informatica’s Master Data Management Capabilities for Subject and Consent Mastering
The SAP on Microsoft approach has allowed Accenture to deliver on their business priorities while lowering costs and improving performance. In turn, a lower cost of ownership allows Accenture to position itself for the future by investing in other areas to expand its capabilities and continue driving a digital Accenture future forward.
Join Aman Dokania, Cloud APAC Managing Director at Accenture and Danette Seward, Senior Director of Advanced Cloud Workloads at Microsoft, as they provide real-world examples of this successful partnership in action.
With today's digital demands, its more important than ever to deliver apps at lightning speed. Azure app hosting allows you to create powerful cloud applications for web and mobile on any platform, for any device.
Thomas Decant, Product Marketing Manager in the Cloud and Enterprise team at Microsoft, takes us through the possibilities and benefits that Azure App Service provides your business.
With Richard Knight and Adam Barker, Microsoft Asia Sales Leads for SAP, discover how to reduce your SAP TCO by 40-75% and data storage cost by 60%. Discover why Azure is the most comprehensive cloud platform for SAP workloads on how it is providing unparalleled performance for even the largest SAP and SAP HANA workloads.
In today's digital age, customer experience is more important than ever. But how do you guarantee customer retention and positive user experience across multiple platforms, devices, industries, and outlets?
Tune in to a real-life case study to learn how RAC WA, the Royal Automobile Club of Western Australia, leveraged Sitecore's content management and multichannel marketing automation software on Azure PaaS to grow its customer engagement by 30% all up, and 50% on mobile.
Learn with Ivan Chan, T-Systems Business Developer, Ravi Gangampalli, SAP Solution Architect, T-systems, and Arnaud Lheureux, Microsoft Cloud Solution Architect, the process of how to achieve a safe and smooth SAP on Azure transformation. From the design phase to operations, you'll learn how to manage your migration project from start to finish.
PACT group was recently named one of Australia's most innovative companies for the fourth consecutive year, and for good reason.
Michael Ross, PACT Group CIO explains how he managed to get more features, greater capability and better performance without increasing costs by migrating his SAP production to Azure. Join this webcast to uncover tips and best practices for seamlessly migrating your enterprise software solutions.
Increased agility, reduced complexity, faster time to market. Learn how easy it is to implement Platform-as-a-Service to modernize line of business applications or develop new ones that will natively be adapted to any device and benefit from the most advanced customer focused innovation.
Join Pradeep Menon, Microsoft Data Solution Architect, as he provides a hands-on approach to getting started with Cognitive Services on Azure. You'll learn the different reference architectures and how to integrate these services into your applications immediately.
Sean Helm, General Manager of the Snowden Group, talks about how Azure helped Snowden modernize their products, drive leading edge services to their customer and realize additional revenue streams by entering new markets.
Learn more about Just Analytics' consulting practice journey towards being data-focused and customer-centric using Microsoft's Big Data and Data Warehouse technologies.
Understand what it means to take the journey from a data-focused approach and get faster insight without infrastructure concerns. Learn how Just Analytics helps their customers tackle cultural challenges in data centric decision making.
Grant Fenn, CEO of Downer Group, talks about how a venerable business in the engineering and infrastructure management services industry harnessed Digital Transformation to drive the next generation of operational capabilities.
With customers spanning a broad range of industries, including public and private transport, energy, infrastructure, communications and resources sectors, it's vital for Downer Group to implement a digital transformation strategy that can encompass platforms, systems, integrations and needs across the board. Join this webcast to discuss a strategic, fool-proof approach to modernizing your IT operations.
The march towards autonomous vehicles continues to accelerate. While expert opinion differs on the specific timing and use cases that will emerge first, few deny that self-driving cars are in our future.
As we all can appreciate, “teaching” a vehicle to drive under the full range of conditions it will encounter (i.e. road conditions, weather conditions, behavior of other vehicles) is a daunting proposition. If merely the thought of this makes you nervous, you’re not alone – according to the American Automobile Association (AAA), 75 percent of consumers are not yet ready to embrace self-driving cars. However, that is the very challenge facing automakers – teaching vehicles to unfailingly assess and respond to any combination of operational conditions “on-the-fly” through discrete rules (algorithms) governing a vehicle’s behavior.
Join Hortonworks and NorCom at the upcoming webinar as we discuss:
•Evolution of the autonomous driving
•Traditional data management approaches and main challenges associated with them
•How NorCom and Hortonworks can address those challenges and accelerate the pace of autonomous development
Nearly 70 percent of business data contains some level of location information. But business analysts rarely use this data within their BI and analytics workflows.
Location analytics is more than just putting points on a map. It’s part of a much larger picture of using location to provide context in visualizations, reports and analytics. Utilizing geographic data in descriptive and predictive analytics helps companies discover new patterns, identify location-specific opportunities, and get a complete picture before making business decisions.
In this webinar, Esri and SAS discuss the role that location analytics can play in determining practical next steps for your organization. A product demonstration will be shown as well.
• How does location analytics add value to BI and analytics initiatives?
• What are the right uses for location analytics?
• What pitfalls should organizations consider as they implement processes and technology for analyzing geographic data?
• Are special skill sets required to use location information?
• How can organizations best develop a strategy for using geographic data?
Digital transformation is something that everybody wants to achieve, but not everyone can define. In this webinar, Accenture managing director Davinder Gautam and MuleSoft founder Ross Mason will discuss the problems CIOs are facing in planning and executing their digital transformation strategies as well as solutions to closing the IT delivery gap and achieving their goals.
Attendees will learn:
- What are the obstacles getting in the way of achieving digital transformation?
- Strategies to end the misalignment of business and IT on digital initiatives
- A roadmap to closing the IT delivery gap
Thinking about unlocking intelligence from text, video or audio data in our applications? Join us to learn how innovative solution providers are doing it now. David Meyer, CTO of SEC 1.01, a Swiss-based leading IT solutions provider, and Russell Hammad, CEO of Zenith Technologies, a multinational solutions provider headquartered in Dubai, UAE, will share their experiences on how to accelerate compelling solutions to market with their OEM strategies. In this webinar, you will learn:
· Why unstructured data analytics was needed
· How OEM options were evaluated
· Why HPE IDOL was chosen
· How HPE IDOL is leveraged in the solution
Logistic regressions are the basic of machine learning. In this webinar, we discuss binomial and multinomial logistic regressions, how we implement them in R and test their performance. We will also review few examples of their usage in industry. In addition, you will learn how to use R-Brain advanced IDE when implementing the model.
- Logistic regressions fundamentals and how to interpret estimates
- Binomial and Multinomial logistic regressions
- Implement logistic regressions in R
- Performance measurement in logistic regressions
- Generating and understanding AUC curve
- Building confusion metrics and understanding its elements
- Examples of model application in industry
- Learn about new advanced IDE
Ali has a Ph.D. in Finance from the University of Neuchatel in Switzerland and a BS in Electrical Engineering. He has extensive experience in financial modeling, quantitative modeling, and financial risk management in several US banks.
Malware and spear-phishing continue to cause the most headaches for IT security teams. Over the years, attackers have become more sophisticated and SIEM systems have failed to keep up. Key indicators of emerging threats include lateral movement, where the attacker silently attempts to access multiple servers on the network, and account management, where the attacker escalates privilege or creates new privileged accounts. Detection of advanced threats like these require real time analytics and the ability to find signals within the very noisy security environment. Join Exabeam and (ISC)² on June 29, 2017 at 1:00PM Eastern to learn how user behavior analytics automatically analyzes and scores activity for escalated risk allowing for quick attack detection.
How confident are you about successfully using Hadoop for your data management needs? Despite 60-80% of organizations experimenting with new big data technologies, only a few have been able to successfully extract value sustainably.
In this webinar, Navin Parmar, a highly experienced healthcare data management leader and longtime Informatica PowerCenter customer, will share the best practices he has gathered across multiple projects from modernizing data environments beyond traditional data warehousing and successfully leveraging big data technologies. Learn real world lessons from an experienced industry practitioner who has delivered compelling healthcare analytics outcomes, while ensuring regulatory compliance with completely trusted data.
Join our webinar on the capabilities enabled between Microsoft and Red Hat, and how their IT ecosystems support and complement each other.
For years Windows and Linux have been rival development and runtime environments used by two distinct development communities – .Net vs. J2EE. At least that’s what we thought. In fact, they are not rivals at all, really. Rather, they are both commonly used by nearly all enterprises to develop and execute the applications they need to run their businesses.
Today, those applications are being modernized, containerized and redeployed across multiple clouds. Business and IT planners alike are rethinking how to develop new cloud-native applications and the infrastructure needed to deploy them to their best execution venue whether on-premises, in or across private, public or hybrid clouds. They expect the IT vendors and service providers they use to do more than just coexist. They expect partnerships dedicated to customer success – and none more so than among the two leading vendors in each community, Microsoft and Red Hat.
In this webinar 451 Research Principal Analyst Carl Lehmann, Margaret Dawson, Global Product Marketing Manager at Red Hat
and Jose Miguel Parrella,Sr Product Marketing Manager for Open Source at Microsoft will address:
•How to overcome common challenges of application modernization, infrastructure management, and cloud deployment.
•The partnership, and capabilities enabled therein, between Microsoft and Red Hat.
•How Microsoft Azure and Red Hat ecosystems support and complement each other.
Participants will learn how Microsoft and Red Hat build upon each other’s strengths in container-based, cloud-native application development, infrastructure deployment and operations to better serve their mutual customers through joint business practices, technology support, and ecosystem.
In this seminar, we will discuss the critical factors to make an IoT project successful. We will talk about parameters and goals, business cases and how to meet timelines, stay within budgets and deliver value to the business stakeholders.
Stay tuned to more webinars in our series "The Hitchhikers Guide to IoT"!
In this, the sixth entry in the “Everything You Wanted To Know About Storage But Were Too Proud To Ask,” popular webcast series we look into some of the nitties and the gritties of storage details that are often assumed.
When looking at data from the lens of an application, host, or operating system, it’s easy to forget that there are several layers of abstraction underneath before the actual placement of data occurs. In this webcast we are going to scratch beyond the first layer to understand some of the basic taxonomies of these layers.
In this webcast we will show you more about the following:
•Storage APIs and POSIX
•Block, File, and Object storage
•Byte Addressable and Logical Block Addressing
•Log Structures and Journaling Systems
It’s an ambitious project, but these terms and concepts are at the heart of where compute, networking and storage intersect. Having a good grasp of these concepts ties in with which type of storage networking to use, and how data is actually stored behind the scenes.
Join us on July 6th for this session. We look forward to seeing you there!
From driverless cars to virtual assistants, AI and machine learning have hit the mainstream. According to Gartner, AI is poised to make a huge impact in the world of analytics, with the power to transform how we access, share and discover information at every level of an organization.
Join ThoughtSpot’s CMO, Scott Holden, for a live discussion of how these smart capabilities are reinventing analytics as we know it, and what you can do to take advantage of them in your organization.
Sysmon v6.01 is out from Windows Sysinternals and it’s even better than ever. This free tool runs in the background of your machine and provides efficient and powerful tracking of key security activity data that you can use to catch threat actors.
In this webcast, Jake Reynolds, technical alliances engineer, joins Randy Franklin Smith, Windows Security subject matter expert, to discuss how Sysmon works and how to set it up to properly generate insightful information. Together they also demonstrate how LogRhythm’s analytics capabilities can help you detect threats by correlating Sysmon logs with other logs from your IT environment.
- Advantages of Sysmon over Windows Security Logs
- How Sysmon works
- How to configure Sysmon to work with LogRhythm
- How to detect threats with LogRhythm’s threat detection modules using Sysmon logs
Watch now to learn how to use Sysmon events and LogRhythm to detect malicious activity on your endpoints.
Data-driven quant strategies have been around for a while now, but recently we’ve seen a boom in the use of next-generation AI technologies and innovative new feeds to capture alpha. Firms are re-imagining how they think about data, their workflow and value proposition. Quants applying the latest machine learning techniques fed by cloud-based and internal data sources are transforming the make up of today's financial services value propositions.
In this webinar Terry Roche from Tabb Group and Keith McAuliffe from Solace will discuss the new technologies that are enabling these quant-based instruments, algos and funds, and explain how technology choices can smooth your path to a fast, flexible infrastructure to execute on quant strategies.
The mandate for digital transformation in retail is clear. The question that IT leaders must answer, is not "if", but "how?"
In particular, how should Retail organizations deliver a consistent and compelling customer experience across multiple channels? How should they think about internal vs external APIs? How should they think about security for retail APIs? And how should they think about re-use to drive greater agility, increase time to market and support an omnichannel retail experience?
Drawing on its work with 2 of the top 5 global retailers, MuleSoft has developed Catalyst Accelerator for Retail, a set of API designs and supporting reference implementations, that codify integration best practices.
Join this webinar to:
- See a demo of the Catalyst Accelerator solution in action, powering web and mobile channels
- Understand how an API-led connectivity approach can increase speed and agility by driving re-use of API assets
- Learn how Anypoint Platform supports the design, development and management of APIs through a single, unified platform
If data is not already the lifeblood of your business, it will soon be a critical competitive imperative. Several major impediments keep most organizations from taking full advantage of their data, but new technology is now making possible the creation of a modern global data fabric that can radically modernize an organization’s data management strategy while also enabling unlocking the business value to directly drive transformation of the business in a more compelling way.
Join us to learn:
•New Challenges around managing distributed data
•Current and Emerging technologies
•Crafting a modern data strategy
Are you at risk of a multi-million lawsuit like Mars Candy, City of Denver or Anheiser Busch? The cloud provides many benefits for the Enterprise but when implemented unchecked could result in millions in fines and risks. Join Paul Doc Burnham from ServiceNow and Jeanne Morain as they provide prescriptive guidance on how to get ahead of your license risks before you migrate.
Cloud computing is at the center of the government's IT modernization efforts. New legislation aims to fund and drive agencies toward the cloud, and the Trump administration's proposed budget would boost cloud spending by more than $1 billion. The cloud is here to stay, but are agencies making the most of it?
Join us July 11th as we discuss:
-Trends in cloud spending
-Where cloud has proved invaluable aiding agencies in their modernization efforts
-How the FedRAMP program has evolved and the kinds of cloud services federal agencies are moving toward
Focus today is shifting from simply capturing big data and discovering new insights with it to operationalizing those insights. The industrial revolution took manufacturing processes from an artisanal practice to a modern technological marvel that is able to manufacture quality items at massive scale. The same type of revolution must happen with analytics and big data. Based on the popular book "The Analytics Revolution", this webinar will address technological, organizational, and cultural points that must be considered to succeed in making big data actionable and operational.
To realize the full potential of modern data applications, organizations need to be able to capture perishable insights from data in motion. While flow management tools are available to help gather, route, filter and transform data from any source, companies have lacked equivalent tools for building the analytics apps needed to extract insight from streaming data.
Imagine the power to build a fully functional streaming analytics application without writing a single line of code and within as little as 10min.
Whether you’re processing IoT data from millions of sensors or building a recommendation engine to provide a more engaging customer experience, the ability to derive actionable insights from massive volumes of diverse data is critical to success. MediaMath, a leading adtech company, relies on Apache Spark to process billions of data points ranging from ads, user cookies, impressions, clicks, and more — translating to several terabytes of data per day. To support the needs of the data science teams, data engineering must build data pipelines for both ETL and feature engineering that are scalable, performant, and reliable.
Join this webinar to learn how MediaMath leverages Databricks to simplify mission-critical data engineering tasks that surface data directly to clients and drive actionable business outcomes. This webinar will cover:
- Transforming TBs of data with RDDs and PySpark responsibly
- Using the JDBC connector to write results to production databases seamlessly
- Comparisons with a similar approach using Hive