Before getting into what this means, let's first discuss how we got here
A trend I'm excited for this year: DataOps & the Analytical Engineer
~10 years ago DevOps was born. The role of system admins and developers merged. Infrastructure became self-serve
Today the role of data engineers and business analysts are merging. Data is becoming self-serve
Before getting into what this means, let's first discuss how we got here
Tools like Informatica / Talend were used to batch load (ETL) data into these databases, Tableau used to visualize
Then in 2013 AWS released their cloud data warehouse Redshift, and it was a game changer. Snowflake was founded in 2012, but didn't really pick up steam until a few years later (around 2016)
1. It was the first cloud-native OLAP warehouse. It reduced the TCO of an OLAP database by orders of magnitude.
2. Speed of processing analytical queries increased dramatically
What does this all mean? An EXPLOSION of data
Now, after this point we still weren't ready for DataOps / Analytical Engineers. What did it take to get there?
1. Data Movement: @fivetran
2. Data storage / compute: @SnowflakeDB @awscloud @GCPcloud
3. Data Transformations: @getdbt
When data access becomes democratized and self-serve in nature, the need for new tools to manage this "modern data stack" goes up. I think we'll see a TON of huge companies built in the following categories:
2. Monitoring the quality of the data (and pipelines) will become increasingly important in self-serve settings. "Datadog for data"
More from Tech
The first area to focus on is diversity. This has become a dogma in the tech world, and despite the fact that tech is one of the most meritocratic industries in the world, there are constant efforts to promote diversity at the expense of fairness, merit and competency. Examples:
USC's Interactive Media & Games Division cancels all-star panel that included top-tier game developers who were invited to share their experiences with students. Why? Because there were no women on the
ElectronConf is a conf which chooses presenters based on blind auditions; the identity, gender, and race of the speaker is not known to the selection team. The results of that merit-based approach was an all-male panel. So they cancelled the conference.
Apple's head of diversity (a black woman) got in trouble for promoting a vision of diversity that is at odds with contemporary progressive dogma. (She left the company shortly after this
Also in the name of diversity, there is unabashed discrimination against men (especially white men) in tech, in both hiring policies and in other arenas. One such example is this, a developer workshop that specifically excluded men: https://t.co/N0SkH4hR35
USC's Interactive Media & Games Division cancels all-star panel that included top-tier game developers who were invited to share their experiences with students. Why? Because there were no women on the
ElectronConf is a conf which chooses presenters based on blind auditions; the identity, gender, and race of the speaker is not known to the selection team. The results of that merit-based approach was an all-male panel. So they cancelled the conference.
Apple's head of diversity (a black woman) got in trouble for promoting a vision of diversity that is at odds with contemporary progressive dogma. (She left the company shortly after this
Also in the name of diversity, there is unabashed discrimination against men (especially white men) in tech, in both hiring policies and in other arenas. One such example is this, a developer workshop that specifically excluded men: https://t.co/N0SkH4hR35
Here is a simple example of a machine learning model.
I put it together a long time ago, and it was very helpful! I sliced it apart a thousand times until things started to make sense.
It's TensorFlow and Keras.
If you are starting out, this may be a good puzzle to solve.
The goal of this model is to learn to multiply one-digit
I put it together a long time ago, and it was very helpful! I sliced it apart a thousand times until things started to make sense.
It's TensorFlow and Keras.
If you are starting out, this may be a good puzzle to solve.
The goal of this model is to learn to multiply one-digit
It is a good example of coding, what is the model?
— Freddy Rojas Cama (@freddyrojascama) February 1, 2021