Midwest Big Data Hub Student Webinar

Midwest Big Data Hub

Midwest Big Data Hub Student Webinar series. A webinar series for student-led data science organizations to share and discuss their experience, structure and goals, ultimately helping to develop a Midwestern data science student groups community. Contact the Hub if you're a student group leader or faculty advisor and would like to participate: info@midwestbigdatahub.org.
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Spotlight

The requirements for access to and analysis of Big Data to derive value from it are evolving fast and so are the perspectives on what it takes to make Big Data effective in the enterprise? Only five years ago, the advice was somewhat adversarial and superficial. Clearly, the excitement about Big Data is justified. The body of research — both academic and commercial — showing the benefits and competitive advantage of the data-driven culture has continued to grow in recent years. But the hype surrounding Big Data must also be balanced with pragmatic advice for organizations struggling in the fast-changing environment of more technology choices, budget constraints, and limited supply of highly skilled professionals.

OTHER ON-DEMAND WEBINARS

How to Strengthen Enterprise Data Governance with Data Quality

DATAVERSITY

If your organization is in a highly-regulated industry or relies on data for competitive advantage data governance is undoubtedly a top priority. Whether you’re focused on “defensive” data governance (supporting regulatory compliance and risk management) or “offensive” data governance (extracting the maximum value from your data assets, and minimizing the cost of bad data), data quality plays a critical role in ensuring success.
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Top BI Trends for 2019

Caserta

Join us for a webinar with Looker where we explore the top Business Intelligence trends for 2019. In this 50-minute webinar, you will learn about the issues affecting BI, the role of analytics as a critical success factor for organizational success, and how companies are leveraging BI and analytics for high-value insights.
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Data Governance 2.0

What if you knew how to establish a strong data governance in your organization? Watch our webinar recording, and find out how CDQ's framework can support you!
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Data Observability / DataOps using AI

Modern-day systems are transforming into complex, open-source, cloud-native services running on various environments and being developed/deployed at lightning speed by distributed teams. When working on these systems, identifying a broken link in the chain can be near impossible. Everything fails at one point or another, whether due to code bugs, infrastructure overload, or changes in end-user behavior or market driven factors or errors in data collection. This has led to the rise of DataOps with a focus on changing the organizational speed and trust in delivering data pipelines and the related artifacts by co-creating “decision quality” data with the consumers. This development has led to the idea of observability that includes monitoring, tracking, and triaging incidents to prevent downtime of the systems and around several factors such as freshness, distribution, volume, schema, lineage.
Watch Now

Spotlight

The requirements for access to and analysis of Big Data to derive value from it are evolving fast and so are the perspectives on what it takes to make Big Data effective in the enterprise? Only five years ago, the advice was somewhat adversarial and superficial. Clearly, the excitement about Big Data is justified. The body of research — both academic and commercial — showing the benefits and competitive advantage of the data-driven culture has continued to grow in recent years. But the hype surrounding Big Data must also be balanced with pragmatic advice for organizations struggling in the fast-changing environment of more technology choices, budget constraints, and limited supply of highly skilled professionals.

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