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Elastic cloud platforms empower enterprises to digitize their business, optimize analytics, and gain a competitive advantage. However, they first must get their data onto cloud platforms. This is no trivial task. Duplicate data, data inaccuracies, slow pipelines, and insufficient streaming capabilities can lead to a data swamp versus data clarity. But, with the right strategic approach, businesses can achieve accurate, real-time data arriving on the Cloud that can easily scale as organizational demands grow.

Cloud databases and cloud analytics platforms consume rivers of data from sources such as SaaS applications, telemetry sensors, and legacy databases on premises. Each data point captures a digital event—the click of a customer purchase, turn of machinery gears, or arrival of a delivery package—that offers an opportunity. To operate and thrive, cloud platforms need streaming data pipelines to ingest and transform that data in a timely fashion. This webinar defines streaming data pipelines and why modern enterprises need them. It also explores how enterprise data teams can build efficient, effective streaming data pipelines that drive the modern digital business.

Join this webinar with Kevin Petrie, VP of Research at Eckerson Group, and Ido Friedman, CTO at Equalum, to learn:
• The role of streaming data pipelines in cloud and hybrid environments
• The business demands driving their adoption
• Use cases for zero-downtime migrations and real-time ingestion
• Technical requirements and tool evaluation criteria
• Guiding principles to architect streaming data pipelines

Speakers:

- Kevin Petrie, VP of Research at Eckerson Group

- Ido Friedman, CTO at Equalum

Sponsor: Equalum

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Can enterprises tame the dragon? Maybe. They need to govern the full AI/ML lifecycle—data and feature engineering, model development, and model operations—with special attention to the operations stage. They need to carefully monitor, control, and reuse models during the entire lifecycle.

Eckerson Group analysts study this problem. Our consultants live it. Join both for a free-wheeling discussion of the tradeoffs and pitfalls of AI/ML governance.

You will hear:

• What AI/ML governance means, and why enterprises need it

• How governance applies to key stages of the AI/ML lifecycle

• Guiding principles, best practices, and tradeoffs of AI/ML governance

• Case studies and what they teach us

• How AI/ML governance is likely to evolve

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This webinar will explore recent trends among business intelligence platforms—namely the rise of data storytelling features and a shift toward the cloud.

Gathering and analyzing data isn’t enough to make your organization data-driven. Successful business intelligence (BI) initiatives depend on getting people to actually use your BI platform. Unfortunately, as long as there’s been BI, companies have struggled with adoption. Modern BI vendors have begun to combat this challenge by embedding data storytelling features directly into their platforms. A new, storytelling-centric approach to BI promises to make it easier to communicate and consume insights, helping more people derive value from data.

You will learn:
• Trends in modern business intelligence tools
• How to sync your BI strategy with your cloud strategy
• The importance of embedded data story-telling

Speakers:

Joe Hilleary - Research Analyst, Eckerson Group

JP Serhal - Product Marketing Manager, Toucan Toco

Sponsor: Toucan Toco

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Many large and mid-sized enterprises standardize their analytics projects on Microsoft SQL Server. To meet modern business requirements, they now need to integrate data from myriad operational platforms into consolidated Azure cloud platforms to support data warehouse and data lake use cases. Their data engineers must manage pipelines that ingest and transform these high volumes of multi-sourced data, automating where possible and customizing where necessary.

This webinar defines a framework for data integration tools that address these requirements, then examines their adoption drivers, challenges, benefits, and use cases. It offers guiding principles and product evaluation criteria to simplify the data integration process, improve performance and scale, and modernize your analytics architecture. 

Join Eckerson Group and TimeXtender to learn:

• What data integration means for Hybrid Azure environments
• Why enterprise data teams need modern data integration tools
• What benefits they can achieve, and what use cases they can support
• How data engineers and architects can meet modern requirements
• How to evaluate data integration tools for your team

Speakers: 

Kevin Petrie - VP of Research, Eckerson Group

Joseph Treadwell - Solution Specialist Director, TimeXtender

Sponsor: TimeXtender

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Malware, theft, espionage, and other cybersecurity threats are the bane of digital business. Bad guys get better each year at stealing money, customer identities, and secrets. To reduce their risks, enterprises need to sharpen their surveillance.

Security log analytics can help. It enables security operations (SecOps) teams to improve the cost and scale at which they predict, prevent, and mitigate rising threats. These tools study events such as user logins, password changes, and firewall alerts to identify, assess, and respond to security threats. New low-footprint indexing tools make security log analytics more scalable and flexible for cost-conscious enterprises.

Join this webinar to learn:

• Adoption drivers, challenges, requirements, and benefits of security log analytics
• Primary use cases for security log analytics
• Why security log analytics offers a scalable and cost-effective alternative to security information and event management (SIEM) tools

Speakers:

Kevin Petrie - VP of Research, Eckerson Group

Thomas Hazel - Founder, CTO, and Chief Scientist, ChaosSearch

Sponsor: ChaosSearch