I have never seen analytic queries perform faster than on a Yellowbrick Data Warehouse. Today, I will begin a series on how to tune a Yellowbrick system. Today, I will start with one of the most critical fundamentals for tuning any parallel processing system, including Yellowbrick.

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Today you will witness moving and joining data across every platform in your enterprise faster than magic. The Nexus Desktop with a Nexus Server puts the business user on the same playing field as the data scientist. Combine Nexus with Yellowbrick and you get the greatest hybrid-cloud strategy on today’s market. Watch a billion-row table query in one second. Watch joins across all platforms, and watch how easy everyone from the business user to the ETL teams migrate with a button click.

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I can teach you Yellowbrick analytics!  I have never seen analytics perform faster than on Yellowbrick.  Today we are going to learn about First_Value.  This analytic seems too simple at first, but I will show you how to use First_Value to look for trends. First_Value will display the first value of a specific column residing…

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I can teach you Yellowbrick analytics! I have never seen a database perform analytics faster than Yellowbrick. Yellowbrick can load billions of rows and still perform thousands of queries simultaneously. The analytic we will learn about today is CUME_DIST.

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In July 1799, Rosetta Stone, discovered during Napoleon Bonaparte’s campaign through Egypt, became one of the British Museum’s most famous objects. But what is it, and why is it important to computing?

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I can teach you Yellowbrick analytics! I have never seen a database do analytics faster than Yellowbrick. Last week we taught you Lead, and this week we are teaching you Lag.

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This week we are working on the Moving Average, which is interchangeable with the word MAVG. You use a Moving Average (MAVG) to look for trends.

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The Ides of March is best known as the date on which Julius Caesar was assassinated at the Theatre of Pompey by members of the Senate in 44 BC. I think that 2020 is the year that we make the Ides of March a good thing. During March, I am going to allow you to migrate and move any amount of data to Snowflake for FREE. 

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I can teach you Snowflake analytics!  Today we are going to learn about Cume_Dist. Cume_Dist returns the cumulative distribution of a value within a set of values. It represents the number of rows with values less than or equal to that row’s value divided by the total number of rows. The returned value of the CUME_DIST function is greater than zero and less than or equal one.

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I can teach you Snowflake analytics!  Today we are going to learn about Ntile. Each Ntile partition is assigned a number starting at one increasing to a value that is up to the Ntile partition number specified.  So, with a Ntile of 4, the partitions are 1 through 4.  Then, all the rows are distributed as evenly as possible into each partition from highest to lowest values.  Normally, extra rows with the lowest value begin back in the lowest numbered partitions.

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I can teach you Snowflake analytics!  I will bet you have never seen a listagg analytic! Some major companies use the listagg analytic for their email marketing campaigns.  They cleverly find out the last three web pages the customer went to on their website, and then they send them a customized email offering sales on the products they were viewing last. Let me show you exactly how it works.

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I can teach you Snowflake analytics!  I have never seen a database do analytics better than Snowflake.  Last week we taught you Lead, and this week we are teaching you Lag. You use a Lead to place the value from the next row on the current line of the answer set.  You can then see today’s value, and on the same line, see tomorrow’s value.  You do the opposite for the Lag.  You can see today’s value, and on the same line, see yesterday’s value. 

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I can teach you Snowflake analytics! I have never seen a database do analytics better than Snowflake. This week we are working on the Lead. You use a Lead to place the value from the next row on the current line of the answer set. You can then see today’s value, and on the same line, see tomorrow’s value.

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I can teach you analytics!  I have never seen a database do analytics better than Snowflake.  This week we are working on the Moving Difference, which is interchangeable with MDIFF. You use a Moving Difference (MAVG) to compare the difference between the value from two different rows.  For example, you can see your Daily_Sales from this Monday, and then see the difference between the Daily_Sales from last Monday. 

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I can teach you analytics!  I have never seen a database do analytics better than Snowflake.  This week we are working on the Moving Average, which is interchangeable with the word MAVG. You use a Moving Average (MAVG) to look for trends.  A MAVG shows you the AVG of values in a moving window, which means a certain amount of rows.  If the moving window is a three, then the MAVG calculates the AVG for the values for three rows.  You can then see trends by analyzing which results were higher and which were lower.

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