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.
Dell EMC World, Vegas, maj 2017.
Jeden z 2 najważniejszych wdyarzeń tej imprezy to ogłoszenie:
IDPA – Integrated Data Protection Appliance
Czym jest IDPA?
Dla kogo jest przeznaczony?
Jakiej wartości dostarcza?
Zapraszam na krótką, 30-minutową sesję, w trakcie której powiemy o wszystkich szczegółach nowego urządzenia ze stajni Dell EMC.
Deploying, right sizing and the ability to meet seasonal peaks without disrupting availability are often seen as difficult challenges in a big data and Hadoop deployment. In this webinar, we will discuss these operational complexities and how to overcome them without adversely impacting the business.
Improvements in IT data quality and analysis tools have enabled IT management to spend less time looking into the past and more time enabling the dynamic enterprise of the future. This allows them to anticipate business events more accurately, forecast costs and capacity, and identify operational risks before they appear. Empowered by technology-driven insights and technology-enabled prediction ability, IT leaders have secured a long-sought seat at the table with their business counterparts during the strategic planning process. IT management becoming more predictive is good. Right? Perhaps, but there are some risks to consider.
Technology-enabled prediction is only as good as the underlying data, and does a poor job of addressing unknown variables. Human intuition and analysis skills have traditionally been used to fill gaps in available data, interpret meaning and project future events. The predictive abilities of most IT leaders are heavily dependent on the quality of information and technology-enabled processing power at their disposal. Modern machine learning systems have made tremendous strides in analyzing large volumes of data to identify trends and patterns based on past and current observations. Their capability to do so is limited, however, by the quality and dependability of data inputs. “Garbage in-garbage out” has been the rule for many years.
Learning how to harness the power of technology and information and applying it to create valuable predictive insights for an organizations is definitely good; IT leaders should be commended for bringing new capabilities to the decision-making table. As we all know, however, no information is perfect, and technology has its limitations. Becoming entirely reliant on technology for prediction and losing the ability to apply a human filter is a risky situation for businesses. As with many business decisions, it is important to balance the potential benefits with the acceptable risk profile for your organization
Join experts from Ovum and Hortonworks to learn how to get big data analytics workloads up and running in the cloud immediately, and how it will accelerate your time-to-benefit and maximize your agility in the cloud.
Today’s companies need actionable insights that are immediate. It is no longer feasible to wait weeks, even months, on IT to prepare business-critical data. Data lakes done right can enable you to view your entire data catalog at a moment’s notice and apply self-service transformations to that data. These interactions are key to providing a quick, clear understanding of business needs. But enterprises have a legitimate concern regarding data lake governance issues such as data privacy, data quality, security, and lineage. How do you marry both - how do you provide governed self-service to data in the data lake?
In this presentation, Scott Gidley, Vice President of Product Development at Zaloni, will highlight the benefits of governed self-service data and will provide a brief demo of Zaloni’s Self-service Data Platform.
- Metadata management, the foundation for governed self service in the data lake
- Data catalogs
- Self-service data preparation
- Self-service ingestion
- Bringing it all together with Zaloni’s Self-service Data Platform
Organizations continue to adopt cloud strategies and technologies at a dizzying pace. Many organizations now look at new IT projects with cloud optics. With the volume of data being transmitted to, from and existing in the cloud ever increasing, protecting that data can be challenging. How can this data, which is always on the move and in myriad locations, have a coordinated security strategy? Join McAfee and (ISC)2 on May 25, 2017 at 1:00PM Eastern for a discussion on how to unify data security across applications, clouds and various locations.
Join this webinar to learn how to get started with large-scale distributed data science.
Do your data science teams want to use R with Spark to analyze large data sets? How do you provide the flexibility, scalability, and elasticity that they need – from prototyping to production?
In this webinar, we’ll discuss how to:
*Evaluate compute choices for running R with Spark (e.g., SparkR or RStudio Server with sparklyr)
*Provide access to data from different sources (e.g., Amazon S3, HDFS) to run with R and Spark
*Create on-demand environments using Docker containers, either on-premises or in the cloud
*Improve agility and flexibility while ensuring enterprise-grade security, monitoring, and scalability
Find out how to deliver a scalable and elastic platform for data science with Spark and R.
With the drastic drop in the cost of sequencing a single genome, many organizations across biotechnology, pharmaceuticals, biomedical research, and agriculture have begun to make use of genome sequencing. While the sequence of a single genome may provide insight about the individual who was sequenced, to derive maximal insight from the genomic data, the ultimate goal is to query across a cohort of many hundreds to thousands of individuals.
Join this webinar to learn how Databricks — powered by Apache Spark — enables queries across a database of genomics in interactive time and simplifies the application of machine learning models and statistical tests to genomics data across patients, to derive more insight into the biological processes driven by genomic alterations.
In this webinar, we will:
- Demonstrate how Databricks can rapidly query annotated variants across a cohort of 1,000 samples.
- Look at a case study using Databricks to improve the performance of running an expression quantitative trait loci (eQTL) test across samples from the GEUVADIS project.
- Show how we can parallelize conventional genomics tools using Databricks.
When you don’t have a solution for data, you fall back on slow, suboptimal tactics for accessing data, denying business users and decision makers access to the most accurate, up to date, and relevant information.
Learn how Talkdesk went from a chaotic world like the one above to being a company where people can easily explore data and quickly get a 360° view of every account. Using FiveTran and Looker, Talkdesk’s product manager was able to tie all their now-centralized data together to create a powerful and stable environment for data discovery.
From this webinar, you will learn:
• What a centralized data store can do for you and how you can achieve that
• Why you should be transforming your data at the time of query, not before you load it into your database
• How one man created a company-wide data platform in one month
Watch to understand how to take control of your data and use it to drive results.
Attend this webinar to learn how Informatica can help you bring clean and validated data from hundreds of data sources across on-premise and cloud applications to numerous Microsoft Azure services such as SQL Database, SQL Data Warehouse, Blob Storage etc. Informatica Cloud has been recognized as a leader by Gartner in the Integration platform as a service (iPaaS) category. We will cover the following three use cases jointly enabled by Microsoft and Informatica:
• Lift and shift workloads
• Hybrid app integration
• Hybrid data warehousing
This session will include a deep dive technical demonstration of the Informatica Cloud platform and will have time allocated for technical Q&A.
Join us as we continue this series of webinars specifically designed for the community by the community with the goal to share knowledge, spark innovation and further build and link the relationships within our HPCC Systems community.
Episode 5 will include 15 minute Tech Talks on HPCC Systems. Speakers include:
Jeff Bradshaw, Proagrica - Interlok Deep Dive
Jon Burger, LexisNexis Risk Solutions - Hive 360
Rodrigo Pastrana, LexisNexis Risk Solutions - WsSQL
Bob Foreman, LexisNexis Risk Solutions - ECL Tip of the Month
The emergence of Big Data has driven the need for a new data platform within the enterprise. Apache Hadoop has emerged as the core of that platform and is driving transformative outcomes across every industry. Join this webinar for an overview of the technology, how it fits within the enterprise, and gain insight into some of the key initial use cases that are driving these transformations.
While the influx of data across the IT stack has transformed operations, your data can't help you if it's not clean. Particularly as more organizations focus on fueling strategic decisions based on key analytics, understanding how you can standardize your data in your IT stack, and beyond, can drive better business performance. Learn how you can establish best practices in your organization to improve data gathering and analysis.
With dramatic increases in prescription opioid availability, usage and spending, this session will explore popular fraud schemes associated with drug abuse and discuss effective data mining to identify such behavior. This session will help investigators combat the opioid epidemic through discussion of contributing factors of opioid availability, common fraud schemes used by drug seekers and Federal and State intervention strategies aimed at reducing prescription opioid abuse.
The Internet of Things (IoT) is the interconnection of uniquely identifiable embedded computing devices within the existing Internet infrastructure. However, securing it can be difficult. Join Gemalto and (ISC)2 for a discussion on the Internet of Things and how it will play a role in your future and what changes will be happening in security.
It seems like every storage company these days is talking about software-defined storage (SDS)… and for good reason. Software-defined storage provides transformational benefits for companies on a wide scale. For IT organizations, SDS technology enables infrastructure to scale to meet modern data demands, while reducing cost, improving hardware flexibility, speeding deployments, and dramatically simplifying storage infrastructure management.
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As excitement mounts around SDS, a wide variety of storage industry solutions have begun leveraging the term. Some solutions, however, may not deliver all the expected benefits of SDS despite leveraging the name. The result has generated some confusion that in turn may lead some to delay SDS-based deployments. In response, it is important to understand what SDS technology provides in order for the technology to be effectively leveraged to transform IT infrastructure.
In this session, we will discuss:
- What constitutes SDS technology, and more importantly how to identify solutions that may leverage the term but may not meet expectations
- What benefits your organization should expect from SDS technology
- What advanced capabilities and features to look for in order to ensure that your organization is able to maximize the benefits of SDS.
Join Enterprise Strategy Group and Datera to learn how to understand software-defined storage and the transformational benefits it provides.
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 governance practices.
Join us for the second in a series of webinars which focus on how organisation's can begin to action GDPR - this short session is all about accelerating Data Discovery & Classification, how to automate and put in place a repeatable 'near real time capability' with Informatica's Secure@Source.
Secure@Source provides 360º visibility of sensitive data and analyses and ranks sensitive data risk. In the context of GDPR, it helps organisations understand where their sensitive data resides, which data stores contain high risk combinations and how it proliferates through the organisation.
This session will cover:
- Where to start with your sensitive data
- How to identify potential data risks
- Live Demo of Secure@Source
Tableau is the one of the leading players in analytics, and like any company, Tableau needs to make decisions about sales data. As a data company, we’re always on the hunt for the best way to look at sales information to help make decisions about quota, territory management, and must-win deals.
In this webinar, see how the sales team at Tableau have made sales analytics and dashboards part of their team daily routine. We're going to dive deep into the dashboards that sales leverage to manage their time, measure performance, collaborate globally, strategically target territories, and more. Joe Clarke, Tableau's UK & Ireland SalesManager will show you how sales performance management is obtained and adopted across the organisation.
Inundated by the explosion and diversity of data across your enterprise? Unable to keep up with demands from data scientists, analysts and business users alike? Challenged with how to reconcile traditional EDW with modern Big Data?
Join this webcast to learn how EDW Optimization will help you capitalize on your existing big data investments in tandem with modern innovations, streamline repetitive and complex ETL, and give users timely access to the data that matters, no matter where it begins its life.
BI and Big Data veterans Carter Shanklin, Sr. Director of Product at Hortonworks and Josh Klahr, VP of Product at AtScale will deliver this interactive session covering insights, real-world experiences, and answering questions from the online audience.
They’ll share real customer stories across industries and pain points to bring to life how you can use EDW Optimization today to drive insights across any and all of your enterprise data – quickly, simply, securely, and widely.
Register to learn:
-- Why EDW Optimization matters and is more than just a buzz-word
-- How you can approach EDW Optimization in your own org to drive immediate value
-- What one leading enterprise did to capitalize on the insight-gold' of their big data, and how you can to
Imagine if analyzing your company data was as easy as searching on Google? This vision has launched search into the analytics mainstream and inspired a wide range of approaches to enterprise search. But not all search is created equal.
Building The World’s First Relational Search Engine required a fundamentally different approach to search - one that ensures both lightning fast performance and 100% accurate results all within an easy to use search-driven interface. Join this webinar to learn more about:
- Emerging trends across various flavors of enterprise search
- How machine learning simplifies and guides you to 100% accurate answers
- Best practices for using search to analyze your data in seconds
- Live demo of ThoughtSpot’s Search-Driven Analytics solution
While many storage vendors are touting multi-protocol access between file and object worlds, Caringo once again takes it to the next level extending multi-protocol access to metadata. Everything you can do with files in a file-based world you can do with objects through Swarm and SwarmNFS. Join this webinar to see a simple demonstration of the new go-to beyond the file system.
An e-Infrastructure is a distributed network of service nodes, residing on multiple sites and managed by one or more organizations. E-Infrastructures allow scientists residing at distant places to collaborate. They offer a multiplicity of facilities as-a-service, supporting data sharing and usage at different levels of abstraction, e.g. data transfer, data harmonization, data processing workflows etc. e-Infrastructures are gaining an important place in the field of biodiversity conservation. Their computational capabilities help scientists to reuse models, obtain results in shorter time and share these results with other colleagues. They are also used to access several and heterogeneous biodiversity catalogues. This webinar will focus on how the BlueBRIDGE e-Infrastructure and Virtual Research Environments can enable data sharing and experiments reproducibility and repeatability in the biodiverisity conservation field. Examples of tools that can be adopted by the audience will be also showcased. Webinar contents in brief:
e-Infrastructures and Virtual Research Environments
Geospatial data visualization and representation
Statistical models for species distribution modelling
Accessing large heterogeneous biodiversity data catalogues
Signal processing of biodiversity-related observations
Machine Learning applied to species observation records
Lexical search in large taxonomic trees
Cloud computing applied to biodiversity analyses
Your enterprise and applications need to communicate – to collect information from many sources and get data where and when it needs to be, which increasingly means in real-time. Complicating matters, as you migrate applications to the cloud and implement IoT strategies, they need to connect increasingly diverse endpoints and systems running in diverse public cloud, private cloud and on-premise environments.
In this webinar, we’ll describe and demonstrate how the Solace Virtual Message Router can give applications and microservices running in Pivotal Cloud Foundry the ability to exchange information using open APIs and protocols like AMQP, JMS, MQTT, Qpid, Paho, REST and WebSockets. Jonathan Schabowsky of Solace’s office of the CTO will show how easily you can enable real-time communications between microservices with the new Solace Messaging Tile for Pivotal Cloud Foundry and how you can integrate Solace into your crucial data movement solution.
Jonathan Schabowsky is a Sr. Architect in the Office of the CTO at Solace. His expertise includes architecting large-scale, mission critical enterprise systems in various domains, such as for the FAA, satellite ground systems (GOES-R) and healthcare. Recently, Jonathan has been focused on the use of event driven architectures for microservices and their deployments into platform-as-a-services (PaaS) running within public clouds.
A Spark Application that worked well in a development environment or with sample data may not behave as expected when run against a much larger dataset in a production environment. Pepperdata Application Profiler, based on open source Dr Elephant, can help you tune you Spark Application based on current dataset characteristics and cluster execution environment. Application Profiler uses a set of heuristics to provide actionable recommendations to help you quickly tune your applications.
Occasionally an application will fail (or execute too slowly) due to circumstances outside your control: a busy cluster, another misbehaving YARN application, bad luck, or bad "cluster weather". We'll discuss ways to use Pepperdata's Cluster Analyzer to quickly determine when an application failure may not be your fault and how to diagnose and fix symptoms that you can affect.
Yelp, the platform that connects millions with business reviews and reservations, needed a way to make over 10+ terabytes of data accessible and usable to everyone within the company. It also needed to monitor the workloads that span both on-premises and cloud systems, across a variety of stacks.
Join this webinar to learn how Yelp uses the Splunk platform to proactively notify on issues with the web, and save engineering hours by empowering users with access to data. In this session, you’ll hear how the company:
• Improved website uptime with real-time notifications
• Quickly and reliably delivers application features to users
• Uncovers business insights and improves the customer experience
If you're already running workloads in the cloud, or in the process of migrating, this is a great opportunity to learn how you can gain additional visibility into your cloud strategy.
Your organization has data in a variety of systems. You’ve connected all of it. But is it clean? Is it the kind of data that you can rely on? Is it reliable? Does it provide you the kind of foundation that you need for that next big initiative? It’s possible that it’s not. And even if it is today, it’s unlikely to be dependable data tomorrow. With a solid data quality and governance plan, however, you can start building toward consistently trustworthy data. Join us for this Meet the Experts webinar where you’ll learn how Informatica Data Quality and Informatica Axon can work together to ensure the kind of consistent data that you need for success.
You’ve heard the horror stories. Data breaches are happening within organizations at an alarming rate, and sensitive data is being compromised regularly. As an attorney, what can you do to protect yourself, your firm and your client from becoming a victim? And, what do you need to do to keep up with ever-changing requirements for data security, both within the US and internationally? This webcast will discuss what you need to know today about cybersecurity and data privacy to protect the sensitive data that your organization manages every day.
+ The State of Cybersecurity in the U.S. in 2017
+ Top Threats Facing Your Practice
+ Your Responsibility to Your Clients: The High Cost of Data Leaks
+ How to Protect Your Firm and Your Clients
+ Recent Developments in International Data Privacy
+ Criteria for Evaluating Providers in Your eDiscovery Projects
+ Ethics Considerations
+ Looking Forward: The Future of Cybersecurity in the Legal Field
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.
Julia Romero Peter, Esq.: Julia is General Counsel and VP of Sales with CloudNine. Julia received her J.D. from Rutgers Law School - Newark, and her B.A. in History with a minor in education from Columbia University - Barnard College.
Sean Hall: Sean is the CEO of Firm Guardian, LLC. Sean has a decade of experience working with emerging start-ups from an executive level creating scalable, profitable businesses.
Paul Cobb: Paul is the COO for Firm Guardian LLC. Paul is a business leader with twenty years of diverse experience in management, marketing, sales strategy, and operations.
The necessity of high quality product information that is exchanged between manufacturing and retail is essential for efficient operations of business processes. Join Mark Smith, CEO and Chief Research Officer at Ventana Research who will provide his expert insights and latest market research on product information management (PIM) and master data management (MDM). The rapid growth in cloud computing is enabling manufacturing and retail to operate more effectively by supporting the product processes that share the information necessary to streamline the interactions to distributors and customers. Assessing what your organization can do with cloud computing to improve can significantly optimize your efforts and increase the outcomes you should expect.
In the webinar, learn the following:
• Gain insight on the digital advancements on the growth of cloud computing with MDM and PIM.
• Learn how to establish a business case for using cloud with MDM and PIM.
• Assess best practices for supercharging MDM and PIM investments with cloud computing.
Join us to learn about JupyterLab, the new open source computational environment for Jupyter. Increase the performance of your data science projects by working in an integrated environment for your notebooks, editor, terminal and console. We will also discuss R-Brain cloud platform and its new R Python Cloud IDE which is built on JupyterLab.
Hackers stealing credentials and operating in your corporate network…disgruntled employees collecting customer lists and design materials for a competitor…malware sending identity information back to random domains…these common threats have been with us for years and are only getting worse. Most organizations have invested large amounts in security intelligence, yet these solutions have fallen short. Simply put, security intelligence and management, in the form of legacy SIEM technologies, has failed to keep up with complex threats. Join Exabeam and (ISC)² on June 1, 2017 at 1:00PM Eastern to gain a better understanding of why static correlation rules are no longer a match for today’s threats.
In this session, we are going to explore how you can create an HDInsight cluster joined to an Active Directory domain, configure a list of employees from the enterprise who can authenticate through Azure Active Directory to log on to HDInsight cluster.
There is growing interest in running Spark natively on Kubernetes (see https://github.com/apache-spark-on-k8s/spark). Spark applications often access data in HDFS, and Spark supports HDFS locality by scheduling tasks on nodes that have the task input data on their local disks. When running Spark on Kubernetes, if the HDFS daemons run outside Kubernetes, applications will slow down while accessing the data remotely.
In this webinar, we will demonstrate how to run HDFS inside Kubernetes to speed up Spark. In particular, we will show:
- Spark scheduler can still provide HDFS data locality on Kubernetes by discovering the mapping of Kubernetes containers to physical nodes to HDFS datanode daemons.
- How one can provide Spark with the high availability of the critical HDFS namenode service when running HDFS in Kubernetes.
The Google security model is built on over fifteen years of experience in keeping customers safe while using Google applications. The security architecture of the Google Cloud Platform (GCP) is based on the same foundation and offers enterprises the tools they need to secure their data and applications in the cloud. Organizations deploying workloads on GCP need to understand the fundamental ways in which security in the public cloud is different from traditional datacenter security and use the right tools to harden their cloud environments.
Join Alex Corstorphine, Solutions Architect at Dome9 Security, and Naresh Venkat with the Google Cloud Strategic Technology Partnerships team, as they discuss best practices and common pitfalls around managing security, compliance, and governance in GCP environments. They will review GCP network security best practices and available compliance certifications, and provide practical examples of how to harden your cloud network environment.
The webinar will include a live demo of the Dome9 Arc SaaS platform that offers greater network visibility, control, and active enforcement in the cloud. Additionally, we will show how the Dome9 Compliance Engine allows businesses using GCP to assess their compliance posture, identify risks and gaps, fix issues such as overly permissive security group rules and weak password policies, enforce requirements and prove compliance in audits.
In this 45 minute webinar you will learn:
- Key features and capabilities of the GCP network security model
- How to gain visibility into network security posture and misconfigurations
- How to harden your Google Cloud environment by applying security best practices
Companies should be gearing up for May 25, 2018 when the General Data Protection Regulation (GDPR) comes into effect. GPDR will affect how businesses that serve the European Union collect, use and transfer data, forcing them to provide specific reasons and need for the personal data they gather and prove their compliance with the principles established by the regulation.
The regulation is already creating many challenges for companies, including:
- Ensuring secure access to most current data, whether on or off-premise
- Consistent security across all data sources
- Data access audit
- Ability to provide data lineage
This webinar aims to demonstrate how data virtualization has surfaced as a straight-forward solution to many of the challenges and questions brought on by the GDPR. It will also include a case study of how Asurion already achieved the desired level of security with data virtualization.
Join the webinar to learn more about the benefits of using data virtualization to smoothly comply with the GDPR.
Data is the center of gravity of the modern company. A robust data strategy is a critical enabler of digital transformation for your business. We live in a world where businesses are generating exponential data across cloud, on-premises and hybrid locations that need to be connected, managed, and secured. Join well known industry analyst Joe McKendrick and Justin Donlon from Carbonite to learn best practices on how to embark on the journey to cloud powered by an Informatica's Enterprise Cloud Data Management platform.
In this webinar you will learn how to:
•Use various approaches to modernize current application and infrastructure stack on the journey to the cloud
•Innovate and modernize business processes with newer integration patterns in the cloud
•Automate onboarding of partners and suppliers using EDI, CSV and other formats, integrate IoT data with cloud-based B2B Gateway successfully acquire and onboard their partners rapidly going – from months to days.
With several layers of your IT stack living in the cloud, how do you identify health issues? And pinpoint the root cause? Join us for a fireside chat with Greg Hohertz, principal solution architect at Blue Medora, to provide insight into how you can quickly identify health issues in your cloud environments and leverage industry best practices to improve troubleshooting.
Le GDPR, ou General Data Protection Regulation, est la nouvelle réglementation européenne votée en décembre 2015 qui s’appliquera dès Mai 2018 à toute entreprise qui collecte, traite et stocke des données à caractère personnel dont l’utilisation peut directement ou indirectement identifier une personne.
Sentelis se joint à Hortonworks pour un webinar qui décrira les impacts organisationnels et technologiques de GDPR et de ce que les entreprises doivent mettre en place afin de répondre aux exigences réglementaires européennes.
Pendant ce webinar, nous parlerons :
• Des enjeux et impacts de la réglementation GDPR sur l’entreprise et le système d’information.
• Comment une approche Data Centric peut apporter une réponse opérationnelle à la mise en œuvre d’un système GDPR ?
• Comment la plateforme Hortonworks Connect permet de couvrir certaines des capacités attendues d’un futur système GDPR ?
At Tableau we help people see and understand data. Seven words that drive everything we do. And they’ve never been more relevant. Tableau is all about making your analytics faster, smarter, and more powerful, so that everyone can get the answers they need. Helping people gain insight into their data to solve unexpected problems is what drives us.
In this webinar, we will explore how Tableau can help with all stages of an analytics project, but focus specifically on a few advanced capabilities. Broadly, we will look at the following scenarios and the capabilities that support them:
•Segmentation and Cohort Analysis
•What-If and Scenario Analysis
•R and Python Integration
Attend to see how Tableau is making advanced analytics exploratory, faster and more scalable than ever before.
This webinar provides practical wisdom on the organizational and technical keys for achieving high return on investment in analytics. One of the strongest indicators of future analytics success is to develop a work culture that supports and nurtures analytics. This webinar describes the best ways to build an effective analytics culture and institutionalize analytics-based decision making.
The speakers will describe how to get started, choose the right project, build a team, select the right tools, obtain stakeholder buy-in, and achieve other vital organizational goals.
The different levels of analytics are reviewed and key terminology are defined, enabling clear understanding and effective communication of technical goals within an organization.
Real world business examples from multiple industries illustrate how leading organizations employ analytic solutions to transform data into insight, make more informed decisions, and improve business value.
Learn how to rescue Cassandra clusters from the brink of extinction
With almost 10 million node hours of operational experience running Cassandra, and currently managing and supporting hundreds of clusters and thousands of nodes globally for a diverse range of clients, Instaclustr has seen it all.
Our live 45 minute webinar will walk you through the steps for responding to high severity incidents in unknown environments.
What you’ll discover:
How to monitor for early warning signs
Real life examples on how to save a cluster
Expert tips and tricks from the field
Concrete steps you can take to ensure your cluster runs smoothly
While Phishing schemes continue to bedevil organizations and security teams, cyber criminals have become more selective and refined about their targets and methods of trying to reel them in. Senior executives have become the “Whales” of the phishing industry, as scammers develop specific, targeted campaigns aimed at value rich individuals like CEOs, CFOs and others with organizational power and access to secured information and financial/personal data. How can security teams educate their upper management on these schemes and keep them from “leaking” details on social platforms criminals can use to bait these well designed traps? Join Sophos and (ISC)2 on June 8, 2017 at 1:00PM for an examination of Spear Phishing and how to secure and educate your executive team from becoming a victim.
Verizon – Global Technology Services (GTS) was challenged by a multi-tier, labor-intensive process when trying to migrate data from disparate sources into a data lake to create financial reports and business insights. Join us to learn how Verizon GTS was able to achieve their business goals while saving money and resources.
- Dla kogo są architektury referencyjne
- Przegląd dostępnych dokumentów
- przykładowe architektury referencyjne
- Dostępne architektury dla platformy Hadoop
- jakie rozwiązania
- jakie platformy
- jaki sprzętu
- jak to złożyć
- jakiego efektu się spodziewać
- Gdzie szukać pomocy