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Episode 3 is here as part of our 12 part series with Cloudera.
In this podcast, Jan Kunigk, CTO EMEA, shares his architectural knowledge of hybrid and multi-cloud deployments for data and analytics. Jan starts by talking about the considerations needed when making the choice between hybrid and multi-cloud. Also, he explains the different architecture and deployment styles for both options. Further to this, he outlines the cost difference and what analytic opportunities they present. Finally, Jan discusses the role CEOs should play in making cloud decisions and how involved they should be in the process.
Next week's episode: Data in Overdrive
Make sure you're subscribed so that you don't miss an episode of this fantastic series.
It's episode 2 of this fantastic 12 part series with Cloudera.
In this podcast, Scott Taylor speaks to Abhas Ricky, Managing Director, Global Head – Strategy & Transformation at Cloudera. Abhas starts by talking about why people implement the cloud and how enterprises can have a better understanding of the costs involved. Secondly, he explains how organisations should define their total cost of ownership model. Also, Abhas explains how ephemeral workloads can be beneficial and the differences between analytical and operational workloads. Finally, he outlines where the complications and nuances come in around the cost of data and analytics.
Next week's episode: Critical Technology Decisions for Cloud
Make sure you're subscribed so that you don't miss an episode of this fantastic series.
Welcome to season 5! This new and exciting series from Cloudera will take us on a journey across all things cloud and data over the next 12 weeks.
In this podcast, Scott Taylor speaks to Paul Mackay, EMEA Cloud Lead at Cloudera. Firstly, Paul outlines what an enterprise data cloud is and how to assess the need for a cloud initiative effectively. Next, he details how organisations make the right choices to leverage cloud correctly and the data management implications. Finally, Paul explains the importance of enterprise-class security and governance.
Next week's episode: Optimise the Cost of Data and Analytics with Hybrid Cloud
Make sure you're subscribed so that you don't miss an episode of this fantastic series.
Hybrid working has become a common talking point of many organisations in the last year as the increase of remote working has transformed several industries. As one might expect, a change in our work culture drastically changes the demands of our workers, meaning that more skilled professionals are required to handle independent working. The problem is that in its current state, the UK is underprepared for this paradigm shift; according to Coursera's Global Skills Report, the UK has the lowest proficiency for business skills in Europe, ranking only at a 29% proficiency.
There is hope for the UK yet; since the pandemic, 24% more women and 32% more unemployed people have enrolled for STEM courses in the UK. This would help to fix the gender gap in STEM, a current concern for many businesses, and it will also help to increase our number of skilled professionals that can perform in the private sector.
In this Data Transforming Business podcast, EM360 Head of Content Max Kurton speaks to Anthony Tattersall, VP of EMA at Coursera. Throughout the discussion, Anthony guides us through some of the most popular courses in the UK, the business skills that are trending the most in the UK and the action needed to help fix the skills gaps within enterprise technology.
While organisations are gradually becoming more data-driven, there are still organisations that rely solely on instinct. According to Talend's 2021 Data Health Survey, a whopping 36% of executives are still making gut based decisions, a method which has proved time and time again to be both inefficient and unpredictable. One of the contributing factors to gut based decision making is a lack of trust in data. Data quality varies from industry to industry but within single organisations, it can also vary from person to person. In fact, 38% of data users state that there are no data quality standards in place in their organisation, so why would executives trust data to make decisions?
The key to becoming data-driven means ensuring that everyone, from the data-producer to the data-user, is involved in the data lifecycle. This means decentralising data processes to ensure that every member of the team both has a transparent understanding of how data is being used but also feels equally involved in the process. In this episode of Data Transforming Business, we speak to Antony Elliott, Regional VP of Enterprise Sales for EMEA North, Talend about the best ways to maintain healthy data in data-driven organisations.
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.
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.
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.
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.
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 & Chief Evangelist, Charles Southwood, Regional VP – Northern Europe & 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.
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