As I pen down my farewell to Tableau, it’s hard not to look back at the incredible journey that began 10 years ago. I reflect on a decade-long connection that began with using Tableau and culminated in four amazing years as an employee. This journey has shaped my career, leaving me filled with gratitude. Read about my 10-year blogging anniversary here.
These last four years have been the most inspiring of my career, what a ride it has been! It’s been a great opportunity and an amazing experience, joining this unique Seattle start-up as one of the first employees in Tableau’s Frankfurt office. Watching our DACH team grow to 120+ people is far more than I had imagined at the beginning, it is simply amazing!
As for my next phase, I’ll take on a strategist role at a leading cloud & AI company. I am excited to continue creating an impact in the digital age.
I’m very grateful to have worked alongside talented people both in Tableau and in our greater #datafam community — people who are brilliant and freakishly friendly. I am immensely grateful for the guidance of my mentors, Nate Vogel and Andy Cotgreave. Their wisdom and support have been instrumental in my growth at Tableau. I have many lifetime memories and made lots of great friends. I wish all of you at Tableau all the best for your next chapter, joining the Salesforce Ohana.
This farewell to Tableau is filled with gratitude, memories, and excitement for the future. Thank you, Tableau, for the incredible ride. So long, and thank you for everything!
Benchmark: Microsoft Azure SQL Data Warehouse outperforms Amazon Redshift in TCP-H 30TB
Slowly the dust settles after the impressive TC18. During my wrap-up, I remembered the data warehouse benchmarks of the Azure & Tableau session by James Rowland-Jones. Especially because my customers ask me about such performance metrics over and over again.
The first benchmark (graph above) shows how Microsoft Azure SQL Data Warehouse (aka. SQL DW) outperforms Amazon Redshift – in terms of performance and price. While the second benchmark shows further performance tests for Amazon Redshift, Snowflake, Azure, Presto, and Google Big Query:
Benchmark: Microsoft Azure SQL Data Warehouse Gen 2 vs. Amazon Redshift, Snowflake, Presto, Google Big Query
Since James‘ session is already available on Tableau’s Youtube channel, feel free to watch the entire Azure & Tableau session:
My TC18 sessions in New Orleans: „Rock your Social Media Data with Tableau“
Anyone can analyze basic social media data in a few steps. But once you’ve started diving into social analytics, how do you bring it to the next level? This session will cover strategies for scaling a social data program. You’ll learn skills such as how to directly connect to your social media data with a Web Data Connector, considerations for building scalable data sources, and tips for using metadata and calculations for more sophisticated analysis.
Here are some key takeaways and links (i.e. additional resources) featured during my TC18 sessions to help you formulate your social media data program in order to build a stronger presence and retrieve powerful insights:
Step 1: Understand How to Succeed with Social Media
Apple has officially joined Instagram on 7th August 2017. This isn’t your average corporate account as the company doesn’t want to showcase its own products. Instead, Apple is going to share photos shot with an iPhone:
And there are plenty takeaways for every business:
Wrap your data around your customers, in order to create business value
Interact with your customer in a natural way
Understand your customer and customer behaviour better by analyzing social media data
Step 2: Define Your Social Objectives and KPIs
A previous record-holding tweet: In 2014, actor and talk show host Ellen DeGeneres took a selfie with a gaggle of celebrities while hosting the Oscars. That photo has 3.44 million retweets at the time of writing:
Social listening means that you look beyond your own content. E.g. Talkwalker offers AI for image recognition and ggregation for online/offline media: http://bit.ly/tc17_talkwalker
Do you analyze your social media marketing mix? | Photo Credit: via Richard Goodwin
With over 3 billion active social media users, establishing an active presence on social media networks is becoming increasingly essential in getting your business front of your ideal audience. These days, more and more consumers are looking to engage, connect and communicate with their favorite brands on social media.
Adding social media to your customer-centric data strategy will help boost brand awareness, increase followership, drive traffic to your website and generate leads for your sales funnel. In 2017, no organization should be without a plan that actively places their brand on social media, and analyzes their social media data.
Once you’ve started diving into social media analytics, how do you bring it to the next level? This session covers a customer-centric data strategy for scaling a social media data program.
Here are the links (i.e. additional resources) featured during the session to help you formulate your social media data program in order to build a stronger presence and retrieve powerful insights:
Located right in the center of Beijing’s business district Donghuamen, the Wangfujing Night Market is known to many as the „Crazy Food Street“. Even though you can have the scorpions fried before you eat them, you also have the option of being brave and eating them alive. Mentally, one of the most difficult things to eat, especially since the scorpions are still alive an moving just before you eat them.
And if you are really feeling adventurous, try delicates like starfish, chicken heart, duck tongue, shrimp eggs, centipede, octopus tentacle and many more. I especially enjoyed silk-worms, very small but thick bugs that looked like they had a shell.
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