The Data Warrior

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

Archive for the tag “#bigdata”

Top 3 Tips for Staying Current in the Evolving World of Data Warehousing

The world of data warehousing and analytics has changed! With the advent of Big Data, Streaming Data, IoT, and The Cloud, what is a modern data warehousing professional to do? It may seem to be a very different world with different concepts, terms, and techniques. Or is it?

This is a question I ask myself all the time. So how do you keep up?

Here is what I do:

1 – Follow the Leaders

Yes, social media! Mostly, I use Twitter. I follow the industry thought leaders and analysts like Claudia Imhoff, Tamara Dull, Howard Dresner, Philip Russom, Cindi Howson, and many others. Not only do I see what they are thinking (and speaking) about, but I get to see what they are reading.

2 – Meet the Leaders

While reading books and online articles is great, there is nothing that replaces face to face communication. And the best way to do that is attend educational events where they are speaking. These days that could mean everything from local meet-ups, to regional conferences (like RMOUG), vendor roadshows, and larger annual events (like the recent Oracle OpenWorld).

For meet-ups, simply go to https://www.meetup.com/ and sign up (for free). You can search for meet-ups in your local area by topic. You may be surprised how many there are nearby and how often they have event. This is a great way to network with other professional in your local community.

To learn from the industry leaders, look to larger national and international events. In the data warehousing and analytics world that means groups like The Data Warehouse Institute (TDWI). They have local chapters and run larger national events on a regular basis (the next one is in October in San Diego). Another group I am associated with is DAMA International which also sponsors local chapters, national and international events.

And of course your vendors and solution providers may run their own events, like the Snowflake Cloud Analytics city tour.

3- Be a Leader

Volunteer! Yes by getting involved with these meet-ups, associations, and user groups, whether locally or nationally, you not only get to give back to the community, but you will often benefit by getting to know and speak with leaders one on one in a less formal environment.

Start off small by helping organize a meeting, or getting the refreshments. Help with the web site or the mail list. If the group you choose runs a conference, help with the paper selection process (you will learn a ton reading the abstracts). And then, when you are ready, become a speaker yourself. There is no better way to learn than to try to teach what you know to someone else.

I have been helping with user group conferences and events for nearly 30 years now and have never regretted a minute of the time spent.

 

So those are my top 3 tips for how you can stay fresh and informed and ahead of the game in this crazy world of data warehousing, big data, and the cloud.

Seems to be working for me.

Keep Learning!

Kent

The Data Warrior

P.S. One of our Snowflake customers, IAC Publishing Labs (owners of Ask.com), won the TDWI Best Practice award for the Emerging Technologies and Methods category and Keith Lavery will be speaking about the project at the TDWI Executive Summit in San Diego on Monday, October 3rd.

P.P.S.  And don’t forget to follow some of the leaders at Snowflake like @bob_muglia and @jonb_snowflake.

 

One more time: Do we still need Data Modeling?

More specifically do we still need to worry about data modeling in the NoSQL, Hadoop, Big Data, Data Lake, world?

This keeps coming up. Today it was via email after a presentation I gave last week. This time the query was about the place of data modeling tools in this new world order.

Bottom line: YES, YES, YES! We still need to do data modeling and therefore need good data modeling tools and skills.

Snowflake with RI

A picture can say so much!

 

In order to get any business value out of the data, regardless of where or how it is stored, you have to understand the data, right?

That means you have to understand the model of the data. Even if the model (or schema) is not needed upfront to store the data (schema-on-write), you must discern the model in order to use it (schema-on-read).

It is (mostly) impossible to get repeatable, auditable metrics, KPIs, dashboard, or reports that bring value to the business without understanding the semantics of the data – which means you at least need a conceptual or logical model.

And if you want/need to join data from multiple source then you really have to understand each source or there is no way to properly join it all together to get meaningful results.

There are a few data cleansing, discovery,and “virtualization” tools out there that will help you figure out those relationships but they are expensive and mostly rely on standard data profiling techniques to find similar data objects across the sets and propose “relationships”. Some allow for the definition of fairly sophisticated matching rules including customizations. But a human still needs to figures those out, test, and validate the results.

In the end you still have to know your data.

One of the best ways to do that, in my opinion, is to model that data. Otherwise your data lake will likely become a data swamp!

So keep your data modeling tool and keep building your data dictionary with your business folks.

Final Stage Table

A good modeling tool can act as a visual data dictionary too!

If you agree with me, please share on social media!

#LoveYourData

Kent

The Data Warrior

P.S. If you need a good modeling tool, check out Oracle SQL Developer Data Modeler. And check out my books and training offering for SDDM on the blog sidebar.

Introduction to Snowflake!

Heads up! I will be giving a webinar next week, called Enabling Cloud-Native Elastic Data Warehousing to introduce folks to the Snowflake Elastic Data Warehouse. Sign up here and join me on July 12th!

Special thanks to DAMA International for inviting me to do this!

See you there!

Kent

The Data Warrior

Forecast: Partly Cloudy — Connecting #OBIEE to @SnowflakeDB

My good friends at RedPill Analytics have done it again! In their never ending mission to #ChallengeEverything, they thought it would be cool to try to connect OBIEE (Oracle Business Intelligence Enterprise Edition) to the Snowflake Elastic Data Warehouse as a way to give OBIEE users access to a high performance data warehouse cloud service. This is their story:

If you’re reading this post, you’ve probably seen my other post on connecting OBIEE to Amazon Web Services’ Redshift database offering. If not, thanks for joining in for this part of the adventure. To summarize the last post, cloud applications are becoming increasingly more common, and because of this fact, more of the data that is produced and consumed will be in the cloud. How can we connect on-premises business intelligence tools to these cloud sources? Specifically, how can we connect OBIEE to them?

See the details on how to connect to Snowflake here:

Forecast: Partly Cloudy (Part 2) — Connecting OBIEE to Snowflake

Here comes the sun!

Kent

The Data Warrior

#Kscope16 Blog Hop: #BigData and #AdvancedAnalytics Sessions Not to Miss

You are attending #KScope16 right?

Me too.

But there are so many sessions to choose from (mine included), which do you pick? How do you pick?

Well, I (and my fellow bloggers) are here to help you out with a Blog Hop. We are going to give you our top picks for for each track. In this post, I will give you my picks for the Big Data and Advanced Analytics track.

Big Data and Advanced Analytics Sessions

Why did I pick that this track? Really because it is a necessary adjunct to BI and Data Warehousing. In fact I find it hard to imagine that these two really won’t merge over the next few years (at my company, Snowflake, it really has already). Every company that is investing in BI/DW is also finding that they need to deal with Big Data too. And Advanced Analytics is, to me, the logical extension to BI.

So after looking at the agenda, really most of the sessions are of interest to me (sigh). But in reality I am sure I will not be able to attend them all, so here are my top 5 picks to see at KScope16:

  1. How to Build an Internet of Things Data Pipeline presented by Rex Eng
  2. Oracle Big Data Discovery: Extending into Machine Learning and Advanced Visualizations presented by Mark Rittman
  3. Introduction to Apache Kafka and Real-Time ETL presented by Gwen Shapira
  4. Getting Started with a Data Discovery Lab: You Don’t Have to Go Big to Gain Big presented by Kathryn Watson
  5. Getting Started with Oracle R and OBIEE presented by Kevin McGinley
 Why those? Simply because they hit on all the top issues and topics that see being discussed (or written about) in the field, and I need to get a better grip on these things:
  • IoT – it is here already
  • Machine Learning – I am pretty clueless about this one so far
  • Kafka – ETL/ELT in the cloud
  • Data Discovery – the next step beyond BI
  • R – the language of choice for data scientists

And I actually know all of but one of the presenters, so am sure they will be very informative and lively talks.

The rest of the blog hop:

Thanks for attending this ODTUG blog hop!

Looking for some other juicy cross-track sessions to make your Kscope16 experience more educational? Check out the following session recommendations from fellow experts!

I hope this gives you some great ideas on what to see at KScope16!

See you in Chicago.

Kent

The Data Warrior

P.S. Don’t forget to make time to attend my Morning Chi Gung sessions down by the river to get each day started right with a clear mind and strong heart. Look for signs at the hotel.

 

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