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  • Data Onboarding with Splunk: Where Do I Begin?

    Sponsored by: Splunk

    Listen in as Luke Netto from Splunk gives an overview of key terms and in-depth advice about pre-onboarding and data discovery, normalizing your data, data ingestion from APIs, wire data, and event logs, and more.

  • 5 Capabilities to Look for in a Self-Service Analytics Solution

    Sponsored by: Qlik

    Imagine: In your company, everyone has access to the data they need, when they need it. That's a data-driven organization, and it's powered by a self-service analytics tool. The question is—how do you choose the right one? Learn 5 key capabilities to look for in a self-service analytics tool.

  • How to Deliver Personalized Experiences, Improve Decision-Making with Big Data Management

    Sponsored by: IBM

    Learn how your organization can analyze massive volumes of structured and unstructured customer data to gain deeper insights. By gaining control of the growing amounts of data, organizations will be enabled to personalize service experiences and deploy more attractive offerings.

  • Tips & Tricks for Growing Your Splunk Deployment from 50 GB/Day to 1 TB/Day

    Sponsored by: Splunk

    Hear from IT Specialist Gareth Anderson on how to overcome common Splunk growth and data ingestion challenges so that you can take your deployment from 50 GB/day to 1 TB/day.

  • Gain Real-Time Insights from Your Data Using Splunk and AWS Cloud

    Sponsored by: Splunk

    Discover how to optimize ingestion of AWS data with Splunk, generate real-time insights, increase your ability to scale with data demands, and select the right streaming platform services for your organization.

  • Choosing the Right Infrastructure for Your Splunk Deployment

    Sponsored by: Splunk

    Discover how to optimize performance for your deployment of Splunk data ingestion and analytics by going through the important considerations for optimizing your underlying infrastructure.

  • How (And Why) To Harness Real-Time Insights With A Streaming Platform

    Sponsored by: Confluent

    With real-time decision making on everyone's agenda, now is the time to put a streaming platform at the center of your business. Learn 3 reasons why many companies arrive at their need for a streaming platform, how to harness real-time data with a streaming platform, and more.

  • How Splunk Enables Fast Data Science for Cybersecurity Operations

    Sponsored by: Splunk

    Discover how to bridge the gap between data scientists and security analysts to accelerate intelligence for cybersecurity operations. Plus, find out how Splunk's machine learning-enabled analytics provides a unified system for collecting, digesting, and querying data.

  • Drive Analytics Value into Business Operations

    Sponsored by: IBM

    Furthering your analytics capabilities can mean the difference between trumping the competition or lagging behind. In this product overview, learn how IBM's BD2 Analytics Accelerator can be leveraged to access enterprise data in place and increase your business insights.

  • A 5 Minute Guide to Cognitive Search for the Life Sciences

    Sponsored by: Attivio, Inc.

    Learn about cognitive search platforms and find out how to analyze any type of data, integrate behavioral data to personalize user experiences, scale for big data, enhance data security, and more.

  • Put Enterprise Data to Work for Analytics

    Sponsored by: IBM

    Analytics is undergoing a major change brought on by: changes in business analytics reporting, evolution to the cloud, consumer freedom, and more. So how can you put enterprise data to work with modern analytics? Learn how you can deliver maximum, real-time insight from enterprise data.

  • Bring Out The Best Insights With Modern Analytics

    Sponsored by: IBM

    It's important to keep up with your insights, so you can make the best decisions for your business. How can you make better business moves and bring analytics to where your data resides? Learn how you can deliver modern analytics with visual reports and dashboards across interfaces.

  • SAP HANA and IBM Power Systems: Better Together

    Sponsored by: EOH IBM

    If you're looking to accelerate your ability to leverage SAP data and generate real-time insights, you may want to consider examining the servers that support your key apps and databases like SAP HANA. Learn about IBM Power Systems and how they measure up when compared to traditional x86-based servers.

  • Real-Time Process Monitoring with the VIA IoT Analytics Platform

    Sponsored by: Vitria Technology, Inc.

    When combined with IoT data and advanced analytics, real-time process monitoring has the potential to enable executives to improve customer experiences and accelerate digital transformation initiatives. Learn about Vitria's VIA Analytics Platform and how it can help you enable real-time process monitoring.

  • Enterprise Analytics and Machine Learning

    Sponsored by: IBM

    How can machine learning put your enterprise data to work in analytics? In this resource center, learn how to enact machine learning for your enterprise data, how to extract maximum insights from your data, and uncover how IBM can help organizations harness their enterprise data via deep learning.

  • BI and Analytics on a Data Lake

    Sponsored by: MapR

    BI and analytics plus big data equals an explosive business differentiator across all industries and regions. Discover how you can create actionable insights by building big data BI and analytics on data lakes and converged data platforms.

  • A Practical Guide to Modern Data Architectures, Microservices, and Containers

    Sponsored by: MapR

    Explore how you can create a modern data architecture that brings more agility to your apps, data, and infrastructure for digital transformation initiatives. Plus, discover how to break down data siloes, tackle big data analytics challenges, increase agility with containers and microservices, and more.

  • Streaming Architectures for Big Data in Real-Time

    Sponsored by: MapR

    Discover how to design an architecture that helps you optimize performance for streaming data and analytics. Plus, learn about the relationship between streaming architectures and microservices, how Apache Kafka and MapR streams measure up, and more.

  • Machine Learning Logistics and Model Management

    Sponsored by: MapR

    Explore the logistics of machine learning, big data, and DataOps. Plus, learn why model management matters, and discover the different tools and subsets of machine learning.

  • Empowering Business Users with Big Data

    Sponsored by: AWS - ZoomData

    Harnessing your big data to transform it into insight is a powerful business tool. But the questions remain: How can you deliver blazing-fast visual analytics for all business users? In this case study, learn how Blue Canopy, a cyber-solutions provider, empowered their business users with an on-demand data science workstation.

  • Planning for Digital Transformation with a Converged Data Platform

    Sponsored by: MapR

    Discover how to keep up with the progression of big data use cases by implementing a converged data platform that leverages the power of Hadoop, Spark, and Apache Drill.

  • Skechers Leverages DBaaS to Deliver Seamless Omnichannel Customer Experiences

    Sponsored by: IBM

    Find out how Skechers used database-as-a-service (DBaaS) technology to help deliver seamless omnichannel customer experiences across web, in-store, and mobile mediums as well as accelerate data queries, analytics, and customer insights.

  • Exploring Machine and "Deep" Learning

    Sponsored by: Pure Storage

    Explore Chapters 1 and 3 of the book Deep Learning by Josh Patterson and Adam Gibson. Interest in machine learning has reached a high point – but how can it make a real difference in your organization? Discover methods and strategies for training machine learning network architectures and running "deep" learning on Spark and Hadoop.

  • AI, Analytics and the Future of Your Enterprise

    Sponsored by: Pure Storage

    Tapping into the power of big data is necessary, but daunting. Learn about emerging trends in big data, 3 major challenges you'll face, and how to prepare your storage for the influx of big data that's sure to come.

  • New wave BI and analytics: turning modern data stores to account

    Sponsored by: ComputerWeekly.com

    This e-guide looks at how companies and other organisations are doing BI and analytics on the newer data stores.

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