Soren Macbeth, chief data scientist at yieldbot, will discuss machine learning techniques using cascalog, storm, and spark.

The session will begin with one or more lightning talks at 6:45pm followed by Soren's presentation at 7:00pm.

For our first meeting lets get together and talk about using Spark in production. I can give a quick overview if necessary and then we'll open it up for discussions.

We can also talk about plans for the group and what kinds of topics and discussion you'd like to see in the future.

For this meetup, we are going to be doing a joint meetup with the DataStax Cassandra Portland Users group.

Archaic database technologies just don't scale under the always on, distributed demands ​of modern IOT, mobile and web applications. We'll start this Intro to Cassandra by discussing how its approach is different and why so many awesome companies have migrated from the cold clutches of the relational world into the warm embrace of peer to peer architecture. After this high-level opening discussion, we'll briefly unpack the following:

• Cassandra's internal architecture and distribution model
• Cassandra's Data Model
• Reads and Writes ​​ You'll go home with enough Cassandra basics to get your feet wet and some resources to get your hands dirty.

Datalog is a powerful recursive query language that can be implemented in a few hundred lines of Clojure. It's a great introduction to logic programming and it can be used to solve real problems. It is also the basis for Datomic's query language.

Apache Beam is a data processing library that runs on Google Dataflow, a serverless distributed computing service.

In this presentation, I will explain Datalog, how it is used in Datomic, and how my team is using Datalog (in Clojure) to build flexible programs that transform large amounts of interdependent data in minutes with Apache Beam.

Bio: Austin is a senior engineer at Healthsparq, where he uses Clojure to transform healthcare data. He has been programming in Clojure for about 7 years. His interests include Logic Programming, Automated Planning, and Game Development.

Join us Thursday, Feb 24th at 10:30AM PST for ‘Intro to Docker & Using Docker in Cloud Data Engineering’ and learn what Data Engineering is and how to use Docker.

Webinar overview: - What is data engineering - Basic docker commands (CLI) - How is docker used on the cloud

Guy Cutting Data Engineer, Instructor

Guy is an enthusiastic problem solver who has deep experience working with data, both on the front and back end. He began his career as a web application developer, working in ColdFusion, PHP, Java, and MySQL. He learned Python while studying Computational Physics and writing experimental control software for optics and radio telescope projects. Eventually his love of math and statistics led him into data science, where he learned to apply a wide range of models and techniques to gain insight from many different types of data.

Guy holds a master’s degree in Systems Science, an interdisciplinary field which uses diverse tools and methods to solve complex problems. Working as a Data Scientist helped him to realize that his real passion is for designing and deploying data processing systems that support front-end analysis and Data Science, and now his focus is in Cloud Data Engineering. He is an experienced communicator who enjoys translating technical problems for audiences of all backgrounds and skill levels. Guy is a Google-certified Cloud Engineer.

Parham Parvizi Founder, Data Engineering Expert

​Parham Parvizi is a founding member of Tura.io and DataStack.Academy. Tura is a group of professional Cloud Data Engineers and Architects, and DataStack.Academy is the most comprehensive Data Engineering bootcamp; training the future of Cloud Data Engineers.  Parham has been a Data Engineer and Cloud/Big Data Solution Architect for nearly 20 years working for major silicon valley tech companies. He started by loading floppy disks into an IBM 8086 machine to play games at the age of five. He learned programming as a teenager by hiding bookmarks on the shelves at Barnes & Noble. He now guides companies as a senior advisor on their digital transformation to the Cloud.

Parham is an Apache Software Foundation contributor and was an early adopter and contributor to open source Big Data projects such as Map Reduce and Hive. He was one of the founding members of Talend and helped their growth in the Americas and Asia Pacific market during the early years of the company. As a Talend ambassador, he’s trained thousands of users around the world. Later, he served as a Big Data Product Manager at Pivotal (currently known as Vmware Tanzu). He was a team member for Greenplum Distribution of Hadoop and led the team behind a Hadoop distributed SQL query language called HAWQ. 

As a Data Advisor and Consultant, Parham has had the opportunity  and pleasure to work with nearly every Fortune 100 company over the years. From managing thousands of node clusters to optimizing data tasks that you are familiar with behind the scenes.

Contact info Data Stack Academy [email protected] / datastack.academy/ Reddit: u/datastackacademy

Join us Thursday, March 3rd at 10:30AM PST for ‘Cloud Functions: Serverless Python on the Cloud’.

Webinar overview:

• What is data engineering

• What are cloud functions?

• Deploy HTTP trigger function

• Deploy Storage trigger function

Join us on our Youtube LIVE for the webinar.

Meet the speakers:

Guy Cutting

Data Engineer, Instructor

Guy is an enthusiastic problem solver who has deep experience working with data, both on the front and back end. He began his career as a web application developer, working in ColdFusion, PHP, Java, and MySQL. He learned Python while studying Computational Physics and writing experimental control software for optics and radio telescope projects. Eventually his love of math and statistics led him into data science, where he learned to apply a wide range of models and techniques to gain insight from many different types of data.

Guy holds a master’s degree in Systems Science, an interdisciplinary field which uses diverse tools and methods to solve complex problems. Working as a Data Scientist helped him to realize that his real passion is for designing and deploying data processing systems that support front-end analysis and Data Science, and now his focus is in Cloud Data Engineering. He is an experienced communicator who enjoys translating technical problems for audiences of all backgrounds and skill levels. Guy is a Google-certified Cloud Engineer.

Parham Parvizi

Founder, Data Engineering Expert

​Parham Parvizi is a founding member of Tura.io and DataStack.Academy. Tura is a group of professional Cloud Data Engineers and Architects, and DataStack.Academy is the most comprehensive Data Engineering bootcamp; training the future of Cloud Data Engineers.

Parham has been a Data Engineer and Cloud/Big Data Solution Architect for nearly 20 years working for major silicon valley tech companies. He started by loading floppy disks into an IBM 8086 machine to play games at the age of five. He learned programming as a teenager by hiding bookmarks on the shelves at Barnes & Noble. He now guides companies as a senior advisor on their digital transformation to the Cloud.

Parham is an Apache Software Foundation contributor and was an early adopter and contributor to open source Big Data projects such as Map Reduce and Hive. He was one of the founding members of Talend and helped their growth in the Americas and Asia Pacific market during the early years of the company. As a Talend ambassador, he’s trained thousands of users around the world. Later, he served as a Big Data Product Manager at Pivotal (currently known as Vmware Tanzu). He was a team member for Greenplum Distribution of Hadoop and led the team behind a Hadoop distributed SQL query language called HAWQ.

As a Data Advisor and Consultant, Parham has had the opportunity and pleasure to work with nearly every Fortune 100 company over the years. From managing thousands of node clusters to optimizing data tasks that you are familiar with behind the scenes.

Contact info

Data Stack Academy

[email protected] / datastack.academy/ Reddit: u/datastackacademy

Join us Thursday, March 10th at 10:30AM PST for ‘Intro to Apache Airflow: Designing DAGs’.

Webinar overview:

• What is data engineering

• What is airflow

• Designing DAGs with airflow

• Run DAG on the cloud

• Resources to continue airflow learning

• Data Stack Academy's Data Engineering Bootcamp

Join us on our Youtube LIVE for the webinar.

Meet the speakers:

Guy Cutting

Data Engineer, Instructor

Guy is an enthusiastic problem solver who has deep experience working with data, both on the front and back end. He began his career as a web application developer, working in ColdFusion, PHP, Java, and MySQL. He learned Python while studying Computational Physics and writing experimental control software for optics and radio telescope projects. Eventually his love of math and statistics led him into data science, where he learned to apply a wide range of models and techniques to gain insight from many different types of data.

Guy holds a master’s degree in Systems Science, an interdisciplinary field which uses diverse tools and methods to solve complex problems. Working as a Data Scientist helped him to realize that his real passion is for designing and deploying data processing systems that support front-end analysis and Data Science, and now his focus is in Cloud Data Engineering. He is an experienced communicator who enjoys translating technical problems for audiences of all backgrounds and skill levels. Guy is a Google-certified Cloud Engineer.

Parham Parvizi

Founder, Data Engineering Expert

​Parham Parvizi is a founding member of Tura.io and DataStack.Academy. Tura is a group of professional Cloud Data Engineers and Architects, and DataStack.Academy is the most comprehensive Data Engineering bootcamp; training the future of Cloud Data Engineers.

Parham has been a Data Engineer and Cloud/Big Data Solution Architect for nearly 20 years working for major silicon valley tech companies. He started by loading floppy disks into an IBM 8086 machine to play games at the age of five. He learned programming as a teenager by hiding bookmarks on the shelves at Barnes & Noble. He now guides companies as a senior advisor on their digital transformation to the Cloud.

Parham is an Apache Software Foundation contributor and was an early adopter and contributor to open source Big Data projects such as Map Reduce and Hive. He was one of the founding members of Talend and helped their growth in the Americas and Asia Pacific market during the early years of the company. As a Talend ambassador, he’s trained thousands of users around the world. Later, he served as a Big Data Product Manager at Pivotal (currently known as Vmware Tanzu). He was a team member for Greenplum Distribution of Hadoop and led the team behind a Hadoop distributed SQL query language called HAWQ.

As a Data Advisor and Consultant, Parham has had the opportunity and pleasure to work with nearly every Fortune 100 company over the years. From managing thousands of node clusters to optimizing data tasks that you are familiar with behind the scenes.

Contact info

Data Stack Academy

[email protected] / datastack.academy/ Reddit: u/datastackacademy

We’re excited to offer a new cloud data engineering track in partnership with Epicodus beginning March 14!

This new track will run on the same schedule as the web development cohorts. It will have courses in Intro to Programming, Data Engineering Fundamentals, Big Data Engineering, and Cloud Data Engineering, followed by an internship. This track also offers a comprehensive career services curriculum, and after you graduate, we'll provide a year of career services assistance while you look for your first job in the tech industry. If you’d like to take a closer look at what to expect out of this track, you can check out our course overview here: https://www.epicodus.com/data-engineering

Did you know…

There are currently 40K Data Engineering jobs on Indeed! In fact, the 2020 Dice Tech Job Report found it had the largest increase of all tech jobs between 2019 and 2020. AND 81% of data companies plan on hire more Data Engineers.

The newest course offered by Epicodus and Data Stack Academy—which starts March 14th—helps students break into the Data Engineering field. These Portland-based companies curated a state licensed 27 week course—which includes an internship.

So what do Data Engineers do? They build the infrastructure that manages an organization’s data. Companies are collecting more data than ever before. In 2020, they amassed 2.5 quintillion bytes of data every day. That data is becoming their most valuable asset. Companies want people like you to manage it.

|| About Data Stack Academy’s founder ||

Parham Parvizi is a founding member of Tura.io and DataStack.Academy. Tura is a group of professional Cloud Data Engineers and Architects while Data Stack Academy is the most comprehensive Data Engineering bootcamp; training the future of Cloud Data Engineers.

Parham has been a Data Engineer and Cloud/Big Data Solution Architect for nearly 20 years working for major silicon valley tech companies. He started by loading floppy disks into an IBM 8086 machine to play games at the age of five. He learned programming as a teenager by hiding bookmarks on the shelves at Barnes & Noble. He now guides companies as a senior advisor on their digital transformation to the Cloud.

Parham is an Apache Software Foundation contributor and was an early adopter and contributor to open source Big Data projects as Map Reduce and Hive. He was one of the founding members of Talend and helped their growth in the Americas and Asia Pacific market during the early years of the company. As a Talend ambassador, he’s trained thousands of users around the world. Later, he served as a Big Data Product Manager at Pivotal (currently known as Vmware Tanzu). He was a team member for Greenplum Distribution of Hadoop and led the team behind a Hadoop distributed SQL query language called HAWQ.

As a Data Advisor and consultant, Parham’s has had the opportunity and pleasure to work with nearly every fortune 100 company over the years. From managing thousands node clusters to optimizing data task that you are familiar with behind the scenes.

|| About Epicodus ||

Our president, Michael Kaiser-Nyman, founded Epicodus in 2012. After becoming frustrated with how difficult it was to hire programmers for his software company, he talked with other employers and discovered he wasn't alone. At the same time, he knew many people who were struggling to find work. He realized that if there were a school that taught practical software development skills, people could get great jobs and companies could hire the staff they need.

Epicodus's first class started in early 2013 with just Michael and 8 students. Since then, we've grown to over a dozen staff and over two thousand students and alumni.

This free event will show people how to start a career in data engineering, the fastest growing job in the tech field. We'll provide a cheatsheet with resources, and discuss how to learn skills on your own, where to find a data engineering bootcamp, and tips for setting yourself up to land a job.

This free 2-day workshop (June 28 & 29th) is sponsored by Data Stack Academy, and will teach beginner-level Python programming skills. We'll also talk about how and why to start a career in data engineering, and how to learn skills on your own or find a data engineering bootcamp. Please register in advance at https://cutt.ly/dsa_events

Interested in breaking into data engineering? This live Q&A, hosted by Data Stack Academy, will give you the chance to get advice from seasoned senior data engineers, and ask junior data engineers about their experience. Please register in advance at https://cutt.ly/dsa_events, or see http://datastackacademy.com/ for more details.

This free 2-day workshop (July 12th & 13th) is sponsored by Data Stack Academy, and will teach beginner-level Python programming skills. We'll also talk about how and why to start a career in data engineering, and how to learn skills on your own or find a data engineering bootcamp. Please register in advance at https://cutt.ly/dsa_events. See http://datastackacademy.com/ for more details.

We're all gathering January 19 at 10 Barrel Brewing in Portland, and we'd love for you to come! Join a select group of data professionals as we sit back and unwind over some light bites, beer, and awesome conversation. Start 2023 with the OA Club & Census. 😎