Webinars

FREE live Web events produced by DBTA.com and DBTA magazine.

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You could win an AmEx gift card just by registering and attending a DBTA web event.

Congratulations to the winners for June, Stu Nelson, Dennis Sherman, Thomas Gillis, Ryan Wright and Ron Walker!

 


Upcoming Webinars

Today's DBA is the Sherlock Holmes of IT — always in demand to solve performance mysteries. But even Sherlock needed Watson to do the footwork for him. In the same way, DBAs need smarter tools to keep their database environment running efficiently, so they can spend less time on menial tasks and more on strategic initiatives.

Content From Quest

July 25, 2017 | 11:00 AM PDT / 2:00 PM EDT
This is a FREE E-Broadcast event!

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In today's business world, time-to-insight and time-to-action are critical competitive differentiators, and the demand for quick access to information is growing. However, the challenge of combining data into meaningful information is also growing. While companies are investing heavily in initiatives to increase the amount of data at their disposal, most are spending more time prepping than analyzing data. To truly expand their analytical capabilities, enterprises need more flexible, agile and efficient data integration approaches.

Content From Attunity and Cask

July 27, 2017 | 11:00 AM PDT / 2:00 PM EDT
This is a FREE E-Broadcast event!

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In a recent Quest customer survey, hundreds of DBA's stated their biggest challenge is managing, maintaining and ensuring database availability across heterogeneous databases that support business critical applications. Whether you are an Oracle or SQL Server DBA, late night calls, production database crashes, planned and unplanned downtimes are painfully common. Discover how Quest SharePlex provides you best in class solution for your high availability, data integration, reporting and database migration projects through real-time database replication.

Content From Quest

July 31, 2017 | 11:00 AM PDT / 2:00 PM EDT
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In many organizations today, SQL Server supports business-critical applications. Downtime or poor performance has an immediate impact on company-wide productivity. As a result, ensuring SQL Server performance and availability is vital. Access to reliable, real-time information on the status and health of SQL Server environments is essential, along with diagnostic tools to quickly pinpoint and resolve performance issues.

Content From IDERA

August 10, 2017 | 11:00 AM PDT / 2:00 PM EDT
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With a stake at the center of how organizations are consuming and leveraging big data, Hadoop adoption in the enterprise is growing steadily. In fact, a recent survey conducted over the subscribers of Database Trends and Applications found 55% of respondents currently use the platform and 44% have four or more clusters.

Content From Hewlett Packard Enterprise, Cask and Pythian

August 24, 2017 | 11:00 AM PDT / 2:00 PM EDT
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Sandhill Consultants and erwin, Inc. believe that your data is key in taking a measured approach to change, rather than a simple, imprudent reaction to an internal or external stimulus. But you have to look at it in context of the processes, organizations, locations and applications that will be affected by any change. Therefore, data architecture and enterprise architecture are linked in responding to change, while limiting unintended consequences.

Content From Sandhill and erwin

August 29, 2017 | 11:00 AM PDT / 2:00 PM EDT
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For information on sponsoring a DBTA magazine Web Event, please contact:

Stephen Faig
Business Development Manager
121 Chanlon Road
New Providence, New Jersey 07928
Unisphere Research and Database Trends and Applications
Office: (908) 795-3702
Mobile: (973) 224-2930
Email: sfaig@infotoday.com

Archived Webinars

Original Broadcast: July 20, 2017

Today's organizations are running hybrid database environments, multiple database platforms, both on premise and cloud. The inherent similarities between relational database management systems are many; the business impact comes when you can augment these capabilities to maximize your investment. During this webcast, systems engineer Gary Jerep will lift the covers off relational databases, revealing their inner-workings and describing the similarities they share.

Content From Quest

Original Broadcast: July 18, 2017

The way we see it, server, network, and databases, are all time series in nature. To gain insight and act, users will have to evaluate and ask questions about such data which are based on time frames and ranges. Time is no longer something added to data; it is constitutive of the data.

Content From InfluxData

Original Broadcast: July 13, 2017

Organizations today are looking to stay ahead of their competition by moving to the cloud. To do so, they need to choose a cloud vendor—such as Amazon Web Services, Microsoft Azure, or Google Cloud Compute—as well as an analytics platform powerful enough to handle all their data requirements.

Content From Microstrategy

Original Broadcast: June 28, 2017

The Oracle Assessment is an IBM offering to Oracle clients. Tony Mancini, previously a Regional Manager for Oracle, will discuss how IBM can act as advisors, using our experience to help clients craft a business and technology decision with regards to your Oracle spend. But it's not just about getting the most from the technology — it's also about getting the most from your investment in it.

Content From IBM

Original Broadcast: June 27, 2017

Extract the most value of your data through real-time and ad-hoc analytics. Correlate data to various internal and external sources, and create a bridge between your structured and unstructured data stores. Learn how Pure Storage's data platform is ideal for all customers seeking an effective, high performance solution that provides everything needed to make the journey to analytics efficient and effective.

Content From Pure Storage

Original Broadcast: June 22, 2017

The desire to compete on analytics is driving the adoption of big data and cloud technologies that enable enterprises to inexpensively store and process large volumes of data. From NoSQL and in-memory databases, to Hadoop and Spark, these technologies offer new and distinct capabilities to the world of enterprise data management. The growing challenge of delivering information where and when it is needed requires a modern data architecture with governance, security, speed, and flexibility.

Content From erwin Inc., Looker and HVR

Original Broadcast: June 15, 2017

The work of an Oracle DBA is never done. But sometimes in the rush to keep up with the workload an Oracle DBA can choose or forget to implement some fundamental things which actually might help them stay ahead of the game. Some are tasks to perform just once when the database is initially deployed. Some are routine tasks that should be scheduled at regular intervals. Some are tasks outside the database itself.

Content From IDERA

Original Broadcast: June 08, 2017

More and more Global 2000 companies are choosing NoSQL databases to power their Digital Economy applications. This webinar is intended for architects and developers who see NoSQL as the future, and could use practical advice and tips on how to get there. This webinar will discuss which applications can/should be candidates for NoSQL, show how to get started building a JSON document data model, how to migrate a table-based data model to JSON documents, and how to optimize your design to enable fast query performance.

Content From Couchbase

Original Broadcast: June 06, 2017

With 20–30 billion things connected by 2020, IoT has the potential to be one of the most disruptive technological advances in recent ages. However, without the right data management strategy, investments in IoT can yield limited results.

Content From Cloudera

Original Broadcast: May 25, 2017

As Hadoop adoption in the enterprise continues to grow, so does commitment to the data lake strategy. In fact, one-third of Database Trends and Applications readers are currently planning data lake projects in 2017 to underpin data discovery and data science initiatives, as well as real-time operational analytics capabilities. Another third are in the process of researching and evaluating solutions. Data security, governance, integration and access have all been identified as critical success factors for data lake deployments.

Content From HPE Security, Search Technologies and Attunity

Original Broadcast: May 23, 2017

Data modelers are responsible for creating and maintaining the conceptual, logical and physical data models for an organization. These data models are used to define the data requirements that support the business goals, but business stakeholders often have difficulty understanding how these technical documents correlate to their business processes.

Content From IDERA

Original Broadcast: May 18, 2017

We're entering a new era of computing with big data, cloud and cognitive all converging at once. This convergence will completely transform how we do business and it's impacting all industries. Join us for a special webinar May 18th that dives into the key components of the Watson Data Platform, its embedded cognitive-assisted, machine-learning capabilities, and its user-specific tools and data and analytics services on IBM Cloud.

Content From IBM

Original Broadcast: May 10, 2017

There are many misconceptions about deploying traditional Oracle applications in the cloud. With Oracle's Applications Unlimited program, there's still a long runway for your enterprise application investment, and you'll need a way of taking advantage of the many benefits of cloud long before you may choose to migrate to Oracle Cloud Applications. Using Oracle E-Business Suite as an example, we will present best practices for deploying on private cloud, Oracle Public Cloud, and Amazon Web Services platforms.

Content From Data Intensity

Original Broadcast: April 27, 2017

Many companies are beginning to acquire IoT data and more external data sets for completely new forms of analytics. These large, external and streaming data sets are a source of insights on their own, but companies are quickly realizing the tremendous value in integrating these with their existing operational systems and databases. This has given way to a set of new architecture patterns and data engineering best practices that are being incorporated into cloud and hybrid-cloud strategies. This presentation will explore some of the proven strategies, new technologies and lessons learned from these early pioneers.

Content From HVR

Original Broadcast: April 20, 2017

When it comes to capturing and analyzing data, IT departments have more choices today than ever. And choice is a good thing. However, in order to pick the right tool for the job, you need to fully understand your requirements as well as your choices. This is certainly true in the world of Big Data.

Content From Aerospike, Cask and Splice Machine

Original Broadcast: April 06, 2017

Many organizations are now embracing the cloud in order to help reduce their operational costs, but the notion of migrating an Oracle 12c multi-tenancy database from on-premise to the Oracle Cloud may seem like a daunting proposition. After all, it will require a dramatic shift in the way you do your job – from performance testing, to administration, to management and ongoing maintenance. In the cloud!

Content From Quest

Original Broadcast: March 30, 2017

Throughout the course of the last decade, VMware virtualization has become the preferred platform for hundreds of thousands of customers, many of them running their Business Critical Applications on the virtualized infrastructure. At the center of many of these BCA environments is the Oracle Database Management System.

Content From VMware

Original Broadcast: March 28, 2017

Today's consumers demand that the products and services they buy connect to the world around them. To help businesses meet that requirement, Verizon launched ThingSpace, an innovative IoT development platform that allows its enterprise customers to build and connect their own IoT applications. Verizon chose Couchbase NoSQL to power the platform due to the massive scale of its deployment and the company's need for high availability, flexibility, and sub-millisecond latency.

Content From Couchbase

Original Broadcast: March 23, 2017

With the potential to transform how and when decisions are made throughout business and our daily lives, the value of the Internet of Things (IoT) is currently being realized across a variety of industries, from manufacturing and utilities, to advertising and healthcare.  In fact, a recent survey found that 29% of Database Trends and Applications readers currently have IoT initiatives underway.

Content From Attunity, HPE and IBM

Original Broadcast: February 23, 2017

Today, the average enterprise has data streaming into business-critical applications and systems from a dizzying array of endpoints, from smart devices and sensor networks, to web logs and financial transactions. This onslaught of fast data is growing in size, complexity and speed, fueled by increasing business demands along with the rise of the Internet of Things. Therefore, it is no surprise that operationalizing insights at the point-of-action has become a top priority.

Content From Aerospike, Attunity and Hazelcast

Original Broadcast: February 09, 2017

The analytics marketplace is set to accelerate. Along with smart data discovery, cloud, mobile and big data, companies are looking to leverage the latest in analytics to stay ahead of their competition and reduce costs with modern data-driven techniques. Watch this webcast to find out what we think will be the top trends in analytics for 2017.

Content From Microstrategy

Original Broadcast: January 26, 2017

To maximize the value of their analytics investments, enterprises need to incorporate big data into their enterprise data management strategies. Database Trends and Applications is hosting a special roundtable webinar on January 26th to help its readers understand the key technologies and best practices, from data modeling and architectural considerations, to data integration, data quality and data security strategies.

Content From HPE Security and Attunity

Original Broadcast: January 12, 2017

With the proliferation of data, databases and data types, it may seem like you're drowning in a sea of data. So when hybrid is not just an idea, but a reality within your organization, you must not only survive, but also thrive, because your business depends on data. In this webcast, we'll give you practical advice on how to maintain productivity and reduce risks while implementing and utilizing more database platforms, so you can make your hybrid environment work for you.

Content From Quest

Original Broadcast: December 15, 2016

Successful organizations are adopting Data Lake Management innovations to quickly and flexibly ingest, cleanse, master, prepare, govern, secure, and deliver all types of data on-premise or in the cloud. This ensures consistently faster and more flexible delivery of trusted data for big data projects.

Content From Informatica

Original Broadcast: December 13, 2016

Open data is on the rise, and freely available data sets - like municipal data - can bring huge value and new features to applications, at no upfront cost. For example, open crime data can be leveraged to support features that make location based apps safer for users. However, the challenge for developers is to efficiently wrangle, store and deliver open data sets without having to build complex data architectures.

Content From IBM

Original Broadcast: December 06, 2016

First Data Corporation has a goal. Ensure their enterprise IT infrastructure is optimized and cost effective in order to deliver critical services to their customers. It is key to their success in the marketplace. Join Wally Waltner, Director of Global IT Asset Management (ITAM) at First Data, for an inside look at what they have learned from their ITAM efforts – the challenges and the opportunities.

Content From BDNA

Original Broadcast: December 01, 2016

For decades, the cardinal rule has been "model first, load later." But with big data, this longstanding rule is being flipped on its head as more enterprises incorporate new technologies, such as Hadoop and NoSQL, and new strategies, like Data Lakes, to manage fast-growing volumes of highly-variable and dynamic data.

Content From Hitachi Data Systems and Attunity

Original Broadcast: November 17, 2016

A solid database backup plan is just as critical in the cloud as it is on-premise, but running SQL Server on Azure virtual machine introduces a few new issues. Presented by Datavail's Andy McDermid and SQL Authority's Pinal Dave, this webinar will examine SQL Server in Azure VM by contrasting on-premise vs in-the-cloud database backup plans.

Content From Datavail

Original Broadcast: November 10, 2016

With SQL Server 2016, Microsoft introduced the Query Store, which promised to track statement performance over time, pinpoint regressed queries and provide a more effective way to tune. In this informative and insightful session we will look at the good, the bad and the ugly of Query Store. How well does it actually work? What if your database is read only? What if you have lots of databases to monitor? How does it handle plan changes due to schema changes?

Content From Quest

Original Broadcast: November 03, 2016

Don't miss this opportunity to learn how other SQL Server sites are leveraging virtualization and cloud, the key benefits and challenges experienced, and best practices to keep in mind as you plan for the future from Unisphere Analyst Joe McKendrick, VMware vExpert Don Sullivan and EMC director Sam Lucido.

Content From VMware

Original Broadcast: October 26, 2016

Today's IT landscape continues to thrive on accelerating change where the sophistication and diversification of technologies sets a pace never seen before. Driven by the demands of an always-on global economy, the widespread proliferation of data is combining with an expectation to leverage seamlessly integrated data in near-real time, making the challenge even greater. The stakes are high, yet traditional data integration methods will not and cannot scale.

Content From Quest

Original Broadcast: October 20, 2016

Data no longer resides in a single relational or columnar database. Today, information is coming from all directions, in various formats, many of which are semi-structured or unstructured. Organizations like Freddie Mac recognize the value of big data and are using MicroStrategy to blend data from multiple data sources.

Content From MicroStrategy

Original Broadcast: October 13, 2016

Today, more than ever, businesses rely on data to deliver a competitive edge. From startups to Fortune 100 companies, success means increasing efficiency, agility and innovation through better collaboration, visibility and performance. However, as business applications continue to grow more sophisticated, so does the challenge of supporting them.

Content From Hitachi Data Systems, Aerospike, and RedPoint

Original Broadcast: September 29, 2016

When everyone is looking at the data their own way, people find different answers to the same questions. To strike the balance, you need a solution that can offer both: governance without bottlenecks and self-service without chaos. Data modeling is a huge, valuable component of business intelligence that has been largely neglected.

Content From Looker

Original Broadcast: September 27, 2016

In this presentation, we will go over general applicability for public vs. private cloud, reasons for dedicated service in either environment, and whether or not a managed service is right for you.

Content From IBM

Original Broadcast: September 22, 2016

In this webinar, we'll describe how to build a high-performance data pipeline using distributed messaging, stream processing, and a NoSQL database – as well as reference architectures for real-time big data and real-world use cases.

Content From Couchbase

Original Broadcast: September 15, 2016

During this webinar, we will review architecture, integration, governance and security scenarios, as well as discuss the benefits many businesses are currently reaping by taking their data and analytics to the cloud. Don't miss this opportunity to gain a deeper understanding of the key challenges and success factors.

Content From HPE Security - Data Security, Attunity, and Looker

Original Broadcast: August 31, 2016

It's all too easy for mobile app developers to assume their apps will run on fast and reliable networks. The reality for end users, though, is often slow, unreliable networks with spotty coverage that leads to poor app performance and frustration with the app. Being offline shouldn't be an error condition.

Content From IBM

Original Broadcast: August 25, 2016

Cloud is top of mind - a majority of enterprises are now considering, and many even using, cloud services for applications, platform and infrastructure needs. Most deployments at this time are in the early or pilot stages, and often involve private clouds. However, most enterprises anticipate significant increase in data to both public and private clouds in the near future.

Content From Oracle

Original Broadcast: August 18, 2016

The ability to use big data stored in Hadoop for deeper insight presents new opportunities for innovation and competitive advantage. The challenge lies in combining big data with evolving digital business processes in a way that is both simple and fast for making in-context decisions. This demands new approaches to processing, interpreting and correlating disparate data sources, such as social media feeds, web logs and the Internet of Things.

Content From SAP

Original Broadcast: August 11, 2016

With a stake at the center of how organizations are consuming and leveraging big data, Hadoop adoption in the enterprise is growing steadily. Alongside this momentum is a growing ecosystem of Hadoop-related projects. From real-time data processing with Apache Spark, to data warehousing with Apache Hive, to applications that run natively across Hadoop clusters via Apache YARN, these next-generation technologies are solving real-world big data challenges today.

Content From Cask, Attunity and HPE Security - Data Security

Original Broadcast: August 04, 2016

Introducing NoSQL database technologies into your data warehouse and analytics infrastructure can yield faster and more flexible insights. In this webinar, we explore how you can gain rapid insights and create more flexibility by capturing and storing data from a variety of sources and structures into a NoSQL database.

Content From Datavail

Original Broadcast: July 28, 2016

The increasing size and complexity of database environments today is straining IT resources at most organizations, reducing agility, and increasing the costs and challenges associated with maintaining the performance and availability of business-critical systems. To address these concerns, many IT departments are looking for ways to automate routine tasks and consolidate databases. The use of virtualization to help accomplish these goals is well established and continuing to grow across enterprises. Likewise, the adoption of cloud services is becoming more commonplace, especially private clouds.

Content From EMC

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