Looking for the latest information on Big Data, the Internet of Things (IoT), Data Integration, and Predictive Analytics? Then join our channel to hear from industry thought leaders, Pentaho customers, and Hitachi Vantara experts as they discuss everything from how to turn data into valuable insights with embeddable analytics to how to accelerate value with Hadoop, NoSQL, and other data sources.
This webinar will be the first in a series focusing on DevOps and how it can help to create an environment in which builds, tests, and releases of software solutions can be done with more ease and reliability.
Our presenter Andrés Pérez, who is an Enterprise Solutions Architect for Hitachi Vantara, will be covering:
What is DevOps?
- Maturity & Phases
- Challenges & Goals
Focus on Continuous Integration
- Lifecycle Diagram
- Solution Repository
- Handling CI
Along the way we will also explore the various components and technical requirements necessary to install and upgrade the platform.
Wael Elrifai shares his experience working in the IoT and AI space; covering complexities, pitfalls, and opportunities to explain why innovation isn’t just good for business—it’s a societal imperative.
This free 1-hour webinar from GigaOm Research brings together leading minds in the Internet of Things (IoT), featuring GigaOm analyst Andrew Brust, joined by guests from IoT powerhouse Hitachi Vantara, which now includes the team behind Pentaho Data Integration and Analytics. The roundtable discussion will focus on the results of a comprehensive IoT research survey conducted by Gigaom Research and commissioned by Hitachi Vantara.
In this 1-hour webinar, you will discover:
- How Enterprise customers are using IoT and where they are in their
planning, evaluation and deployment of IoT solutions?
- Who the IoT leaders, funders and champions are in companies of
different size, across different industries
- Recommendations for IT and data professionals to stay ahead of the
Big Data and IoT landscape.
You’ll learn about factors and metrics germane to IoT initiative success, the architectures necessary for that success and the best approaches to IoT technology and partners.
Pentaho 8.1 helps organizations minimize risk and optimize costs by managing and processing data in multi-cloud environments. Now it is easy to maintain information across all three public clouds: Google Cloud Platform, Microsoft Azure and Amazon Web Services (AWS).
In addition to the cloud innovations, Pentaho 8.1 helps solve more business problems with connector enhancements to an even wider variety of data, including streaming data sources.
Join the Pentaho product team as we discuss 8.1 features to help modernize your analytic data pipeline:
• Deploy in hybrid and multi-cloud environments with
comprehensive support for Google Cloud Platform,
Microsoft Azure and AWS for both data integration and
• Connect, process and visualize streaming data, from MQTT,
JMS, and IBM MQ message queues and gain insights from
time series visualizations;
• Get better platform performance and increase user
productivity with improved logging, additional lineage
information, and faster repository access.
We will also be showing a live demo of our multi-cloud and streaming data source support as well as other 8.1 features.
Business intelligence is evolving from traditional look-back analysis to forward-thinking prediction and prescription. Join Naser Ali of Hitachi Vantara in this webinar where he'll cover the following concepts:
- Understanding why AI isn’t an academic pursuit or anything like traditional analysis
- Why the value of AI comes from developing whole new processes
- What to expect and when on the journey to predictive and prescriptive outcomes
- A skills and infrastructure checklist
- Plus: Gotchas - spotting the pitfalls and roadblocks
IoT has the potential to change the competitive landscape and drive transformation that leads to new business models. However, much of the machine-generated data collected today is not fully exploited or even used. Watch this presentation to learn about marrying big data together with machine data to realize your full IoT potential.
Watch this session to learn the basics of data science, including the data science process, how data scientists think and do their best work, and how to attract and retain data scientists. The session will also cover basic data science terminology, types of algorithms, and technologies for different use cases so you can work more productively with your data science teams.
Watch this presentation to learn about the progression of the IoT market, highlighting the evolution from early closed-loop message response-based IoT-enabled products towards the establishment of the IoT-enabled enterprise. In particular, session will explore the role of
data primacy and governance and strategies for effectively leveraging the utility value of IoT data as the key ingredient for maximum leverage and insight.
This presentation covers how data architecture modernization involves many emerging technologies. Understanding the ecosystem of big data technologies can help organizations improve data processing and performance. This session will cover various big data technologies as they pertain to data volume, variety, velocity, and latency.
Data Explorer enables PDI users to visualize data at any point in their PDI pipelines to better spot inconsistent or missing data, making sure that the analytics they provide to analysts is right the first time around. We’ll walk through the basic features of Data Explorer, review its main use cases, and demonstrate how it can be used to both inspect data and rapidly publish prototype analytic sets for business users to consume in PUC without physically staging the data.
Analytics on your roadmap? Join this webinar to learn how product managers have benefitted with analytics embedded as a feature within their product. We will walk you through the common mistakes organizations make when implementing analytics, best practices to get to market faster and more effectively, as well as other tips gained from hundreds of embedded analytics implementations.
Join this webcast to discuss:
-The tricky “should you build or buy dilemma”
-Steps to embedding analytics including vendor evaluation criteria
-Overlooked challenges when embedding analytics into products
-Pentaho customer examples and recognized ROI