In today’s rapidly-changing technological environment, data offers new ways for business to improve or even completely transform business models. But with this rapid change, it’s difficult to separate hype from reality and determine what practical steps can show value in real-world implementations. In this podcast series, we set out to ask, how is Data transforming business? Expect to hear opinions from leading tech vendors and the people who rely on data for day-to-day business such as Barclays Bank, Mastercard and DS Virgin Racing Formula E Team.
Solving the Issue of Data on Kubernetes with Datastax
While it has taken the lead position in infrastructure management, managing data on Kubernetes is a complex subject for many in the industry. Matching users expectations for container-orchestration systems against the needs they have for their databases have unveiled a multitude of unexpected issues.
In recent years, storing data within Kubernetes has become more and more common. However, users are still experiencing the same issues. In this new episode of Data Transforming Business, we speak to Datastax’s VP of Developer Relations Patrick McFadin about solving the problems affiliated with data on Kubernetes and what you need to do in order to have a secure database.
S4E9: The Power of an Analytics Operating System
As businesses endeavour to effectively action their data, business intelligence (BI) software and analytics operating systems have become all the more important and cherished. Not only do BI software fulfil their purpose of helping companies attain useful business insights, but they can also support flexibility and strengthen governance.
Joining Ronald van Loon and EM360 to lend his BI expertise is Ian Macdonald, Principal Technologist at Pyramid Analytics. Firstly, Ian gives a comprehensive introduction to analytics operating systems, before giving an overview of the BI market. He also delves into the improved work capabilities that BI provides to businesses, how BI can improve remote work experiences for employees, and how it helps employees achieve unique goals within their individual roles.
Furthermore, Ian outlines the challenges businesses face when creating analytics environments within their organisation. He also advises on the technologies and organisational processes needed to successfully implement analytics.
S4E8: Data Integration and Analysis
When an organisation talks about data integration, there are a lot of hurdles to overcome. To achieve results they need to make sure their data is of high quality, organised and formatted. However, this is easier said than done as data engineers are trying to extract data from an ever-changing source. With cloud-based applications and siloed data, it raises a lot of questions as to how to achieve a unified view and gain insightful analytics.
In this podcast, Ronald van Loon speaks to Mark Maxwell, Head of UKI Strategic Sales at Fivetran. Firstly, Mark outlines why an organisation should incorporate data integration into their analytic strategy. Then he explains what key decisions are needed for data warehousing and their workloads and analytics processes. Also, Mark demonstrates what a typical automated data integration process involves when an organisation is starting this journey. Finally, he looks at how this solution can help teams focus on analytics over ETL.
S4E7: Guiding DataOps Teams Through Rapid Change and Uncertainty
Data pipelines are becoming a quintessential part of every organisation that is wanting to be data fluent. This means DataOps is becoming increasingly more important in this process as it is used by analytic and data teams, to improve quality and reduce the cycle time of data analytics. However, now organisations are facing unprecedented challenges with current events and widespread lockdown. It's important to understand how to guide DataOps teams through these rapid changes and uncertainties so that data can remain functional.
In this podcast, Ronald van Loon speaks to Suki Dhuphar, EMEA Field Engineering Lead at Tamr. Firstly, Suki outlines the challenges that DataOps teams face with remote work and how to overcome these challenges. Then he explains how DataOps teams streamline their data engineering processes once they're equipped with the right tools. Also, Suki explains how a remote work environment impacts an organisations data pipeline and creating a culture that is adaptable. Finally, he explains the best practices needed to help increase data and analytics efficiency for transitioning processes.
S4E6: Modern Data Management Enabled by Data Virtualisation
For organisations of any size, data management is key and data virtualisation is the next logical step in making that a reality. The role that data virtualisation plays within data management is to bridge the gap between IT and the business. This allows the combination of data in real-time and allows for true business transformation, so that the data is available to everybody while keeping it secure, allowing users or other applications to gain the access and insights they need.
In this podcast, Ronald van Loon speaks to Paul Moxon, Senior SVP of Data Architecture and Chief Evangelist, Charles Southwood, Regional VP – Northern Europe and MEA at Denodo and Sylvain Dutilh – Principal BI Administrator at Landsbankinn. They discuss the vital role data virtualisation plays in modern data management and accelerating digital transformation strategies. Also, how this promotes a culture of data democratisation across an organisation. Next, they explore some interesting case studies and also discuss why data fabric is a key resource in improving exploration and discovery. Finally, they look at typical data virtualisation deployment scenarios and the next steps within the context of an organisation’s data journey.
S4E5: How to Manage your Data and Analytics Journey
Organisations who are in the early stages of data analytic maturity struggle with poor data quality, inconsistent processes and lack of co-ordination across their organisation. Also, those organisations with low BI maturity don’t have formal governance programs in place at all. These low maturity organisations often have BI platforms that are more traditional and reporting centric. In this podcast, Ronald van Loon speaks to Ed Thompson, CTO at Matillion about how an organisation can achieve data and analytics maturity.
Firstly, Ed outlines a typical customer experience and how you define data milestone along with the tools needed to start a data journey. Then he explains the challenges of data integration and how businesses maintain data governance over such large amounts of data. Finally, we learn about suitable cloud strategies as well as how to prepare teams to be ready for data, analytics and machine learning.