Apache Cassandra Lunch #55: Migrating PostgreSQL to Cassandra

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We will discuss the process and reasons for migrating your database from SQL(PostgreSQL) to NoSQL(Cassandra) Accompanying Blog: https://blog.anant.us/apache-cassandra-lunch-55-migrating-postgresql-to-cassandra/ Accompanying YouTube Video: https://youtu.be/nNfq-XdcdNA Sign Up For Our Newsletter: http://eepurl.com/grdMkn Join Cassandra Lunch Weekly at 12 PM EST Every Wednesday: https://www.meetup.com/Cassandra-DataStax-DC/events/ Cassandra.Link: https://cassandra.link/ Follow Us and Reach Us At: Anant: https://www.anant.us/ Awesome Cassandra: https://github.com/Anant/awesome-cassandra Cassandra.Lunch: https://github.com/Anant/Cassandra.Lunch Email: solutions@anant.us LinkedIn: https://www.linkedin.com/company/anant/ Twitter: https://twitter.com/anantcorp Eventbrite: https://www.eventbrite.com/o/anant-1072927283 Facebook: https://www.facebook.com/AnantCorp/

Data & Analytics

Relational Database
● Atomicity Consistency Isolation Durability
● Query data using JOINs
● Consistent global secondary indexes
● Scales vertically
● Great for medium data

Scalability
● ACID is a lie
● Sharding
● No more joins
● Schema changes
● Adding shards requires manually
moving data
● Downtime

What is Apache Cassandra
● High Availability
● Linear Scalability
● Easy to manage operationally
● No master/slave replica sets
● Partition Key

The Ring
● Data is replicated automatically
● RF per keyspace
● Consistency Levels
● Multi DC

Data Modeling
● Conceptual Data Model - Identify entities and relationships
● Workflow and Access Patterns - Identify queries
● Logical/Physical Data Model - Specify the schema and CQL
● Optimize and tune

Data Modeling - Conceptual Data Model
● Understand your data
● Essential objects
● Constraints
● Entity types
● Relationship types
● Attribute types

Data Modeling - Mapping conceptual to logical

Data Modeling - Physical Data Model
SAVE10

Clustering Column - Sorting Order/Uniqueness

Strategy: Scalable Fast Data
Architecture: Cassandra, Spark, Kafka
Engineering: Node, Python, JVM,CLR
Operations: Cloud, Container
Rescue: Downtime!! I need help.
www.anant.us | solutions@anant.us | (855) 262-6826
3 Washington Circle, NW | Suite 301 | Washington, DC 20037

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If you didn't attend, you don't want to miss a much shorter synopsis of what was covered and get some thoughts from us as to why they are important. We'll talk about the main topics of the event. 1. ACID transactions on Cassandra by Aaron Ploetz, Datastax 2. Apache Flink with Apache Cassandra at Satyajit Thadeswar, Netflix 3. Durable Execution built on Apache Cassandra by Loren Sands-Ramshaw, Temporal 4. Switching from Mongo to Cassandra with Mongoose & new Stargate JSON API, Valeri Karpov 5. Cloud Native and Realtime AI/ML with Patrick Mcfadin and Davor Boncaci, Datastax

Cassandra Lunch 130: Recap of Cassandra Forward Talks

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As the demand for real-time data processing continues to grow, so too do the challenges associated with building production-ready applications that can handle large volumes of data and handle it quickly. In this talk, we will explore common problems faced when building real-time applications at scale, with a focus on a specific use case: detecting and responding to cyclist crashes. Using telemetry data collected from a fitness app, we’ll demonstrate how we used a combination of Apache Kafka and Python-based microservices running on Kubernetes to build a pipeline for processing and analyzing this data in real-time. We'll also discuss how we used machine learning techniques to build a model for detecting collisions and how we implemented notifications to alert family members of a crash. Our ultimate goal is to help you navigate the challenges that come with building data-intensive, real-time applications that use ML models. By showcasing a real-world example, we aim to provide practical solutions and insights that you can apply to your own projects. Key takeaways: An understanding of the common challenges faced when building real-time applications at scale Strategies for using Apache Kafka and Python-based microservices to process and analyze data in real-time Tips for implementing machine learning models in a real-time application Best practices for responding to and handling critical events in a real-time application

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In this lunch, Johnny will show us how easy it is to start monitoring your Cassandra cluster in minutes. He will explain the various aspects and features of Cassandra that need to be monitored, how to do it, and most importantly why! Approaches for backups and Cassandra repairs will be discussed and explored in detail. Learn how AxonOps significantly reduces the complexity and overhead when looking after Cassandra and ensures your Cassandra cluster is reliable and resilient. Experienced developer, DevOps, architect, and AxonOps co-founder, Johnny Miller, has worked with a wide variety of companies – from small start-ups to large enterprises. He has been working with Cassandra for many years and has a deep understanding of the challenges facing modern companies looking to adopt Apache Cassandra.

Apache Cassandra Lunch 120: Apache Cassandra Monitoring Made Easy with AxonOps

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In Apache Cassandra Lunch #119, Rahul Singh will cover a refresher on GUI desktop/web tools for users that want to get their hands dirty with Cassandra but don't want to deal with CQLSH to do simple queries. Some of the tools are web-based and others are installed on your desktop. Since the beginning days of Cassandra, a lot has changed and there are many options for command-line-haters to use Cassandra.

Apache Cassandra Lunch 119: Desktop GUI Tools for Apache Cassandra

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Data Engineer's Lunch #60: Series - Developing Enterprise Consciousness

Anant Corporation

During this lunch, we’ll review open-source reverse ETL tools to uncover how to send data back to SaaS systems. Sign Up For Our Newsletter: http://eepurl.com/grdMkn Join Data Engineer’s Lunch Weekly at 12 PM EST Every Monday: https://www.meetup.com/Data-Wranglers-DC/events/ Cassandra.Link: https://cassandra.link/ Follow Us and Reach Us At: Anant: https://www.anant.us/ Awesome Cassandra: https://github.com/Anant/awesome-cassandra Email: solutions@anant.us LinkedIn: https://www.linkedin.com/company/anant/ Twitter: https://twitter.com/anantcorp Eventbrite: https://www.eventbrite.com/o/anant-1072927283 Facebook: https://www.facebook.com/AnantCorp/ Join The Anant Team: https://www.careers.anant.us #data #dataengineering #datagovernance

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This lunch covers why ODBC & JDBC don’t cut it in today’s data world and the problems solved by Arrow, Arrow Flight, and Arrow Flight SQL. Alex will go through how each of these building blocks works as well as an overview of universal ODBC & JDBC drivers built on Arrow Flight SQL, enabling clients to take advantage of this increased performance with zero application changes. Sign Up For Our Newsletter: http://eepurl.com/grdMkn Join Data Engineer’s Lunch Weekly at 12 PM EST Every Monday: https://www.meetup.com/Data-Wranglers... Cassandra.Link: https://cassandra.link/ Follow Us and Reach Us At: Anant: https://www.anant.us/ Awesome Cassandra: https://github.com/Anant/awesome-cass... Email: solutions@anant.us LinkedIn: https://www.linkedin.com/company/anant/ Twitter: https://twitter.com/anantcorp Eventbrite: https://www.eventbrite.com/o/anant-10... Facebook: https://www.facebook.com/AnantCorp/ Join The Anant Team: https://www.careers.anant.us

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Data Engineer's Lunch #76: Airflow and Google Dataproc

Anant Corporation

In Cassandra Lunch #115, Arpan Patel will discuss how to connect Google Dataproc and DataStax Astra with a demo showing you what configurations you will need to get the connection working! Accompanying Blog: Coming Soon! Sign Up For Our Newsletter: http://eepurl.com/grdMkn Join Cassandra Lunch Weekly at 12 PM EST Every Wednesday: https://www.meetup.com/Cassandra-Data... Cassandra.Link: https://cassandra.link/ Follow Us and Reach Us At: Anant: https://www.anant.us/ Awesome Cassandra: https://github.com/Anant/awesome-cass... Cassandra.Lunch: https://github.com/Anant/Cassandra.Lunch Email: solutions@anant.us LinkedIn: https://www.linkedin.com/company/anant/ Twitter: https://twitter.com/anantcorp Eventbrite: https://www.eventbrite.com/o/anant-10... Facebook: https://www.facebook.com/AnantCorp/ Join The Anant Team: https://www.careers.anant.us #cassandra #dataproc #datastax #apache #apachecassandra #dataengineering

Apache Cassandra Lunch #115: Google Dataproc and DataStax Astra

Anant Corporation

In Apache Cassandra lunch #114, Dipan Shah will discuss virtual Tables in Apache Cassandra 4.0 Accompanying Blog: Coming Soon! Accompanying YouTube: https://youtu.be/ZbJrFy4TlNI Sign Up For Our Newsletter: http://eepurl.com/grdMkn Join Cassandra Lunch Weekly at 12 PM EST Every Wednesday: https://www.meetup.com/Cassandra-DataStax-DC/events/ Cassandra.Link: https://cassandra.link/ Follow Us and Reach Us At: Anant: https://www.anant.us/ Awesome Cassandra: https://github.com/Anant/awesome-cassandra Cassandra.Lunch: https://github.com/Anant/Cassandra.Lunch Email: solutions@anant.us LinkedIn: https://www.linkedin.com/company/anant/ Twitter: https://twitter.com/anantcorp Eventbrite: https://www.eventbrite.com/o/anant-1072927283 Facebook: https://www.facebook.com/AnantCorp/ Join The Anant Team: https://www.careers.anant.us

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In Apache Cassandra Lunch #110, Dipan Shah will discuss full query logging. Accompanying Blog: Coming Soon! Accompanying YouTube: https://youtu.be/Y5CYYbX3bvk Sign Up For Our Newsletter: http://eepurl.com/grdMkn Join Cassandra Lunch Weekly at 12 PM EST Every Wednesday: https://www.meetup.com/Cassandra-DataStax-DC/events/ Cassandra.Link: https://cassandra.link/ Follow Us and Reach Us At: Anant: https://www.anant.us/ Awesome Cassandra: https://github.com/Anant/awesome-cassandra Cassandra.Lunch: https://github.com/Anant/Cassandra.Lunch Email: solutions@anant.us LinkedIn: https://www.linkedin.com/company/anant/ Twitter: https://twitter.com/anantcorp Eventbrite: https://www.eventbrite.com/o/anant-1072927283 Facebook: https://www.facebook.com/AnantCorp/ Join The Anant Team: https://www.careers.anant.us

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2. Relational Database ● Atomicity Consistency Isolation Durability ● Query data using JOINs ● Consistent global secondary indexes ● Scales vertically ● Great for medium data

3. Scalability ● ACID is a lie ● Sharding ● No more joins ● Schema changes ● Adding shards requires manually moving data ● Downtime

4. What is Apache Cassandra ● High Availability ● Linear Scalability ● Easy to manage operationally ● No master/slave replica sets ● Partition Key

5. The Ring ● Data is replicated automatically ● RF per keyspace ● Consistency Levels ● Multi DC

6. Data Modeling

7. Data Modeling ● Conceptual Data Model - Identify entities and relationships ● Workflow and Access Patterns - Identify queries ● Logical/Physical Data Model - Specify the schema and CQL ● Optimize and tune

8. Data Modeling - Conceptual Data Model ● Understand your data ● Essential objects ● Constraints ● Entity types ● Relationship types ● Attribute types

9. Data Modeling - Conceptual Data Model ● Understand your data ● Essential objects ● Constraints ● Entity types ● Relationship types ● Attribute types

10. Data Modeling - Application workflow

11. Data Modeling - Mapping conceptual to logical

12. Data Modeling - Mapping conceptual to logical

13. Data Modeling - Physical Data Model SAVE10

14. CQL

15. CQL vs SQL

16. Partitioning And Storage Structure

17. Partitioning And Storage Structure

18. Clustering Column - Sorting Order/Uniqueness

19. Clustering Column - Sorting Order/Uniqueness

20. Denormalization

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