The Data Warrior

Changing the world, one data model at a time. How can I help you?

Data Vault 2.0 Online Training – Early Adopter

Finally! People have been asking for this literally for years – to be able to get authentic Data Vault 2.0 (CDVP2) training in an online format.

Please remember there are no refunds and to get the best deal on the Early Adopter offer ($300 off), you must purchase by Friday March 24th, 2017. After that, the price goes up to $997.

So if you have been waiting to get Data Vault 2.o training straight from the inventor, Dan “Data Vault” Linstedt – this is your chance! Get it here.

Happy Vaulting!

Kent

The Data Warrior

NB: I have seen the videos and can say the content is the quality and caliber I expect from Dan and Sanjay, but you should also know that by buying via the links in this post, I will get a cut. Thank you.

P.S. Don’t forget about the upcoming World Wide Data Vault Consortium in Stowe this May. Sign up here.

 wwdvc2017

RI (Referential Integrity) Constraints: 3 Reasons to Include Them in Your Data Warehouse

Over the years, I have had numerous conversations about the value of having referential integrity (RI) constraints, such as primary and foreign keys, in a relational data warehouse or data mart.

Many DBAs object that RI constraints slow the load process. This is a valid point if you are talking about enforced constraints that are checked in real-time during the load. But this is not an issue if you define the constraints as disabled.

Which then leads to this common question:

Is there any reason to maintain a permanently disabled FK in the data model?  If it is not going to be enabled, then from my perspective, it doesn’t make any sense to define the FK.  Instead, the relationship can be described in the comment of the child column.

So, why would I want RI constraints in my data warehouse?

Here are 3 reasons to consider…RI (Referential Integrity) Constraints: 3 Reasons to Include Them in Your Data Warehouse

Model on!

Kent

The Data Warrior

Cloud Data Warehousing: Is it for real?

 

Our industry is full of hype and hyped terms.

Big Data. NoSQL. The Cloud. Self-service <whatever>.

And Cloud Data Warehousing.

Some of the offerings and solutions are real. Some less so.

Newest on the scene is cloud data warehousing (or data warehousing in the cloud). As with all new tech, there are a variety of offerings out there with different characteristics. To help folks try to understand the space a bit more, the company I work for (Snowflake Computing) put together a (hopefully) hype-free, vendor agnostic book on the topic called Cloud Data Warehousing for Dummies, which I blogged about last month. If you have not already gotten a copy and read it, I encourage you to do so soon. I think you will find it very helpful in the coming months as this topic heats up.

It is where data warehousing is going. Period.

But is Cloud Data Warehousing really for real?

I may be biased here (okay, likely), but based on my experience working with Snowflake for over a year now, I have to say yes. Emphatically, yes!

Cloud Data Warehousing is real. It can handle real data and real workloads. To the tune of hundreds of terabytes and even petabytes of structured, and semi-structured, data, all for a fraction of the cost of traditional on-premises data warehouse solutions, and with the ease of administration you expect from a cloud-based SaaS solution.

But, as they say, the proof is in the pudding!

So here are a few proof-points for you from real, live customers, who have been using Snowflake to improve their business outcomes.

AthenaHealth

AthenaHealth is a leading healthcare services provider (with a network of 85,000 providers and 83 million patients nationwide). So yes, it is possible to have a cloud data warehouse that is secure enough to pass HIPAA regulations for holding PHI (Personal Healthcare Information).

In this video, Adam Weinstein, Executive Director of Analytics & Data Science explains how AthenaHealth leverages the Snowflake Cloud Data Warehouse service to radically accelerate their reporting with real-time updates, more advanced analytics, and machine-learning, while minimizing overhead and maintenance.

Some of the key benefits AthenaHelth experienced using Snowflake:

  • Ability to work with petabytes of healthcare data
  • Ability to scale to meet analytic needs both internally and externally
  • Lower total cost of ownership (TCO) than other options
  • Ability to support machine learning-based products
  • Reduction in overhead maintenance thanks to the Snowflake service offering

Says Adam:

What I see Snowflake enabling us to deliver to our clients, internal stakeholders and paying customers will be pretty freaking cool!

Iovation

Iovation is the leading SaaS provider of fraud prevention and multifactor authentication solutions. So needless to say, they know security and they feel very secure with their data in the cloud.

In this video, Kurk Spendlove, Director of Engineering, shares why they switched from Vertica to the Snowflake Cloud Data Warehouse service in order to load semi-structured data directly into the cloud data warehouse and analyze years of data in a matter of minutes.

Some of the key benefits Iovation experienced using Snowflake:

  • Ability to load semi-structured data directly into Snowflake
  • Loading schema-less data – not having to modify schema every time data is changing in new weekly releases
  • Ability to scan through years’ worth of data and having the report back in minutes
  • Powerful support for new machine learning-based products
  • Minimize management for data warehouse and overhead

Kurk says:

I’m a big fan of Snowflake and the people behind it.

Rue La La

Rue La La is a flash sale site with over 18 million members looking for great deals on designer fashion and accessories.

Director of BI and Data Warehousing at Rue La La, Erick Roesch says:

Snowflake’s separation of compute and storage is just revolutionary!

In this video, he explains how they replaced their legacy data warehouse and Hadoop data lake with a Snowflake Cloud Data Warehouse to merge data sources for fast, data-driven business decisions.

Key benefits Rue La La saw from switching to Snowflake:

  • Merge different data sources for data-driven insights- 360-view of their customers!
  • Better targeted marketing and promotions to Rue La La members based on their personalized preferences
  • Better purchasing decisions for Merchandising and planning dept – they can learn more about context of the product, avoid having residual inventory of things that don’t sell
  • All data in one place in real time– internal and external data feeds (demographic, census, geo-location data)
  • No admin and infrastructure costs
  • Streamlined development cycles -traditional development activities and processes become very simple

Sharethrough

Sharethrough is the leading global native advertising (adtech) platform. In this short video listen to the Head of Analytics, Joseph Bates, explain how they were able to drastically reduce query times, streamline complex processes, and build new data pipelines by switching from MySQL to the Snowflake Cloud Data Warehouse.

Some key benefits Sharethrough saw from using Snowflake:

  • Reduced query times from hours to seconds (before, basic queries took an hour to return)
  • Streamline complex processes with minimal cost
  • “Query that used to take an entire weekend & $1,200 of compute time to run, now in Snowflake runs with bare minimum ETL, 4 lines of SQL in 30 seconds.”
  • Minimal database administration

Joseph’s conclusion:

The next step will be to see how we can build new data pipelines and meet the demands of our business, and I think Snowflake is unparalleled in this regard.

Cloud Data Warehousing is not just hype

Hopefully you can see by the passion and excitement from these customers, that it is not all hype. The promise of the cloud combined with a next-generation SQL-based data warehouse engine is in fact delivering the goods.

I am even more excited about the possibilities now than when I joined a year ago. It is awesome to see what these, and other companies are doing to transform their businesses and really challenging the status quo of in not only the data warehousing arena, but big data as well.

Cloud data warehousing is a game changer.

Maybe we can have it all?

For even more exciting customer stories check out the Snowflake channel on YouTube.

If this tech excites you too, please share on social media with any and all who love data and want to change the story for enterprise data warehousing! And don’t forget to follow Snowflake on twitter @snowflakedb for more customer success stories, upcoming webinars, and product announcements.

 

Kent

The Data Warrior

Want to Learn Something New in 2017?

Happy New Year everyone!

This is the time of year when we all make plans and set goals for the new year, right?

So what are you going to do different this year? How about grow your career by learning something new?

How?

  1. Read a book on an area of tech you are not so familiar with. Cloud perhaps?  My recommendation, of course, is to check out the new Cloud Data Warehouse for Dummies book I mentioned in my post last month. Or maybe one of my ebooks listed on the blog sidebar?
  2. Attend a webinar. My favorite user group, ODTUG, has a continuous lineup of FREE webinars through out the year. You can see the list and sign up here. (I will be giving one next week!)
  3. Attend a conference or meetup.  As I mentioned in my post on staying current, nothing beats meeting and learning from folks face-to-face.  Plan ahead, budget some time and training money to attend one of the many industry events that happen all year. For some ideas, check out my speaking schedule for 2017 with options around the US.

 

So what will it be? If possible try to do at least one of each – read a book, attend a webinar, go to a meetup!

Make 2017 a great year!

Kent

The Data Warrior

P.S. If you plan to attend any of my in-person talks, please drop me a line to let me know! And be sure to follow me on twitter or check my schedule periodically as I am adding new talks and locations all the time.

Data Warrior LLC

 

Happy New Year!

Happy New Year from The Data Warrior

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