Name: Unified Analytics Powered by Flash-Optimized Data Lakes
Start: 2022-04-26T15:00:00Z
End: 2022-04-26T15:46:28.000Z
Location: BrightTALK
Rating: 5

OpenText has completed the purchase of Micro Focus, including Vertica. Our combined expertise expands our analytics offerings to help customers confidently scale analytics to the largest and most demanding workloads for the fastest predictive insights available on the market.

Vertica, the pioneer of the columnar relational database, and Coffing Data Warehousing's Nexus software, the universal database analytic workstation for relational and cloud platforms, invite you to attend this webinar about data migration, a thorn in the side of every business.

In this webinar, you will learn about Vertica's unique performance-tuning techniques and why Vertica and Nexus provide the perfect environment for integrating and joining any combination of data across all legacy and cloud systems in your enterprise, including the ability to migrate over 20 different database platforms to Vertica using Nexus, with the setup and execution taking only minutes. 

Vertica, capable of deploying on-premises and/or on any cloud, combined with Nexus, enables limitless data migration, and empowers your business users with access to any data, anytime, anywhere.

Limitless Data Migration with Vertica and Nexus

You have priorities, and we realize that one of them might not be experimenting with a new database to find better performance, value, and lower cost. However, there is an easy way to create a Vertica database on AWS in a few minutes with our Database as a Service (DBaaS) offering. 

Vertica Accelerator is Vertica-as-a-Service (SaaS), and it delivers great SQL analytics. However, it also offers so much more with high-performance advanced analytics and machine learning. See how the deployment, administration, and management of Vertica running in your own AWS cloud account is streamlined in Vertica Accelerator. Keep your data in Vertica to perform machine learning, geospatial and time-series analytics.

How to Create a Vertica Analytical Database on AWS in Minutes

AIOps (AI for IT Optimization) is a potent new way to handle the increasing complexity of IT systems, and meet the increasing demands of customers for smooth, always on, cellular networks, data centers, containerized deployments, and other IT services. In the past, log monitoring via human eyes was the way to spot the cause of problems. The human-driven "index-and-search" paradigm of 20 years ago, won’t cut it now when stack depth and deployment complexity have grown by orders of magnitude. Poking around logs is slow, dumb alert rules cause alert fatigue, and smarter alert rules are fragile. The future of IT optimization will be autonomous. Vertica’s powerful cloud-native analytics platform is a natural fit. Join Zebrium Founder and CTO Larry Lancaster as he describes how Zebrium, powered by Vertica, delivers real-time incident detection and root cause analysis. 
Learn:
• What AIOps is and how it works in modern applications
• How Zebrium uses AIOps to find incident root cause and speed MTTR
• Other AIOps case studies: HPE Infosight for compute networks, Jaguar TCS Racing for electric cars, SysMech for telecommunications, and more

AIOps Powers Root Cause Analysis, Increases Quality of Service, Decreases Churn

Tune in to learn then adopt the most popular and helpful machine learning techniques in Vertica. Hear directly from the inventor of VerticaPy, Badr Ouali, whose powerful Python library exposes scikit-like functionality to conduct data science projects on data stored in Vertica. VerticaPy has many features that will help you achieve high performance at scale without impacting your cluster. Topics covered include: caching some statistics to avoid recomputing them twice, sending multiple queries iteratively to preserve your cluster, and even sending multiple queries at the same time to gain performance.

Best Practices for VerticaPy

Data mesh is not something enterprises can buy off the shelf. Data mesh is a sociotechnical approach to share, access, and manage analytical data in complex and large-scale environments — within or across organizations. The technical aspect is more architecture than tool or platform, with almost a religious mantra of, “Data mesh is not about technology.” But the number one question data architecture and data engineering teams have about data mesh is, what are the strategies I use to implement it? 
Tune into this webinar to learn from guest speaker Michele Goetz,  VP/Principal Analyst at Forrester:
• some of the principles behind the data mesh concept 
• how to translate data mesh soft artifacts to deployable products
• what data capabilities exploit the decoupled nature of compute, storage, and state
• and where a scalable, high value for performance database like Vertica fits in a data mesh implementation

De-Mystifying the Data Mesh

As Cloudera ends support for CDH 6, platform owners are scrambling to decide what’s next for their big data strategy…

Whether you're looking to replace Cloudera, or augment it with a more modern analytics platform, join us Wednesday, September 14th at 12pm as we discuss what options are available for current Cloudera customers, and, detail how VAST & Vertica allied to create a leading alternative data analytics platform that helps enterprises consolidate their structured, semi-structured, and unstructured data silos on a flash-powered data lake.

What's Next? Life After Hadoop & Cloudera in the Middle East

As Cloudera ends support for CDH 6, platform owners are scrambling to decide what’s next for their big data strategy… 

Whether you're looking to replace Cloudera, or augment it with a more modern analytics platform, join us Tuesday, August 30th at 11am ET as we discuss what options are available for current Cloudera customers, and, detail how VAST & Vertica allied to create a leading alternative data analytics platform that helps enterprises consolidate their structured, semi-structured, and unstructured data silos on a flash-powered data lake.

What’s Next? Life After Hadoop & Cloudera…

Organizations have a wide variety of analytics needs ranging from dashboards and visualization to artificial intelligence and machine learning (AI/ML). The faster an organization can perform analytics, the more efficient and effective an organization’s business operations will be.

One way to improve performance is with in-database analytics, the process of executing analytics directly within the database rather than extracting data to a separate system. This results in less data movement and less maintenance of data pipelines. In-database analytics accelerate time to insights and reduce maintenance and data governance issues, even as increasing volumes of data require compute and storage scalability without compromising efficiency.

This webcast features research presented by David Menninger, SVP and Research Director of Data and Analytics Research at Ventana Research.

Requirements of Modern Analytic Databases

Jump into the driver’s seat for a first-hand look at what it actually takes to prepare for race day at our Virtual Garage Tour in NYC!

Meet Team Principal, James Barclay, as he gives you a look at the all-electric Jaguar I-TYPE 5 race car—the future of racing. Learn about the technological innovations that power the fastest growing global motorsport in the world—ABB FIA Formula E World Championship.

Then, experience a deeper dive into the technology used behind the wheel as we discuss how Micro Focus Vertica helps Jaguar TCS Racing compete in the software arms race to gain an edge on the competition. As a result of moving to Vertica for its high-performance advanced analytics and machine learning platform, the team now has data for every reading, every signal, every car, and every event.

In this session, you’ll learn:
• How Vertica technology enables the racing team to glean important insights into data, blazingly fast
• How access to almost 700 in-database functions means key data is available to query within seconds and all the event data is available in minutes
• How engineers and strategists can now make critical adjustments to the powertrain, suspension, steering, braking and power management that were just not possible before

Don’t miss this rare, behind-the-scenes opportunity!

Jaguar TCS Racing Virtual Garage Tour―NYC, Vertica's Advanced Analytics Platform

Jump into the driver’s seat for a first-hand look at what it actually takes to prepare for race day at our Virtual Garage Tour in Berlin!

Meet Team Principal, James Barclay, as he gives you an up-close look at the new, all-electric Jaguar I-TYPE 5 race car—the future of racing. Learn about the technological innovations that power the fastest growing global motorsport in the world—ABB FIA Formula E World Championship.

Then, experience a deeper dive into the technology used behind the wheel as we discuss how Micro Focus Vertica helps Jaguar TCS Racing compete in the software arms race to gain an edge on the competition. As a result of moving to Vertica for its high-performance advanced analytics and machine learning platform, the team now has data for every reading, every signal, every car, and every event.

In this session, you’ll learn:
• How Vertica technology enables the racing team to glean important insights into data, blazingly fast
• How access to almost 700 in-database functions means key data is available to query within seconds and all the event data is available in minutes
• How engineers and strategists can now make critical adjustments to the powertrain, suspension, steering, braking and power management that were just not possible before

Don’t miss this rare, behind-the-scenes opportunity!

Vertica’s High-Performance Advanced Analytics Platform Powers Jaguar TCS Racing

Being limited to analyzing data on-premises is a known problem. But analytics limited to cloud, or just a single cloud vendor, can also reduce the return on your data investment. To unlock the value of data, companies must embrace the reality of a hybrid world. In this webcast, we’ll dive into solid Eckerson Group research on how companies across industries are getting their arms around data in multiple clouds and on-prem systems. ThinkData Works is an example of a successful technology company at the center of this important trend. We invite you to learn how ThinkData Works is helping customers pull in new sources and manage external data at scale to reduce risk, boost efficiency, and drive innovation.

Unlock the Value in Data: Rise of Hybrid Cloud, Multi-Cloud Platforms

From the beginning, Vertica has been a powerful time series analysis engine, with pattern matching, sessionization, joins with interpolation, and many of the tools needed to get value from mountains of log data. A lot of smart organizations have used Vertica for clickstream analysis, vehicle telemetry analysis, AIOps, predictive maintenance, anomaly detection for fraud prevention, and other time series analysis use cases. Over the last few releases, Vertica has added new capabilities like ARIMA analysis. Come learn about some of Vertica’s powerful capabilities, old and new, and see how you can analyze time series data quickly and easily.

The Power of Vertica for Time Series and IoT Log Analysis

Most organizations are moving their analytical data platforms – whether based on data warehouses, data lakes, or both -- into the cloud. But how do you choose the right platform to fit your organizational realities, your technology strategy and direction, and important product requirements? What are the compromises in choosing a platform that is only available as a cloud service or only available in one cloud? And what are the capabilities you should look for beyond support for business intelligence and analytics, particularly when it comes to supporting machine learning and data science?

Join Doug Henschen, VP and principal analyst at Constellation Research, and author of “What to Consider When Choosing a Cloud-Centric Analytical Data Platform,” for this informative web event on March 15 at 8 am PT/11 am ET. He’ll be joined by Paige Roberts, Open Source Relations Manager at Vertica, and by Bert Corderman, Senior Manager of Engineering at The Trade Desk. You’ll learn:
 
• How leading analytical data lake, data warehouse, and combination platforms have evolved for cloud deployment
• How to choose a platform that fits the tech realities and tech strategies of your organization
• Why hybrid- and multi-cloud deployment flexibility is a must for many organizations
• Why firms with high-scale/high-performance needs still opt for customer-managed deployments   
• What cost, security, and performance trade-offs to watch out for in cloud services.

Cloud Without Compromises: Crucial Analytical Data Platform Requirements

Utility companies are facing a data explosion, primarily in the form of semi-structured and unstructured data from the Internet of Things (IoT). The data explosion is driven by an increasingly decentralized and complex energy grid, digitization of physical assets, and the growth of distributed and renewable energy sources. At the same time, utility companies are under pressure to improve operational efficiency and deliver greater value to customers. Join John Villali, Research Director for IDC Energy Insights, to learn why unifying disparate volumes of data and operationalizing AI & ML are critical for utility companies to address business and operational challenges, and what steps they need to take to be successful.

How utilities can address operations & customer experience with data analytics

Banking and Financial Services executives need to convert the embarrassingly rich amount of data at their disposal into real time insights, for improving the customer experience and maximizing operational efficacy. Yet many business analysts and data scientists in financial services struggle with data silos, outdated infrastructure, and operationalizing artificial intelligence and machine learning. Join Jerry Silva, Vice President for IDC Financial Insights, for a discussion around the industry drivers of transformation, the acceleration of innovation, and some of the structural, organizational, and technical challenges facing financial services firms on their journey towards becoming data-driven and analytically focused. Jerry will provide essential guidance for how organizations can modernize their analytics infrastructure, unify disparate data sources, reduce time to insight, and deploy AI & ML models in production.

It’s Time to Start Adding Intelligence to the Business of Financial Services

Vertica Accelerator is Vertica-as-a-Service (SaaS) that delivers a unified, high-performance advanced analytics and machine learning platform with automated cloud setup, administration, and management. It runs in your own AWS cloud account, with management automation from the Vertica management plane – designed, built, and maintained by Vertica experts.

Vertica Accelerator

Are you struggling with multiple large data sets being combined into a data warehouse? 

In this webinar we will demonstrate how you can seamlessly combine Vertica and Talend to solve business challenges for a modern, healthy Data Pipeline. Our experts will demonstrate how to quickly clean, prepare, and store multiple data sets for further processing on the data lake. 

Take advantage of this great learning opportunity!

Designing a Modern Data Pipeline for Unified Data Warehouse - Talend and Vertica

In this Under The Hood webinar series, join Jason Hammons (VP Field Engineering at VAST Data) and Steve Sarsfield (Director of Product Marketing at Vertica) to learn how VAST Data’s massively-parallel disaggregated architecture delivers revolutionary concurrency, scale, and economics for Vertica. Get real time, all-flash performance for all your use-cases, ranging from structured data-warehouse analytics and ad-hoc queries to complex data science jobs – at half the cost of traditional flash solutions.

Unified Analytics Powered by Flash-Optimized Data Lakes

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