Next week is PostgresConf US 2018. This annual conference is where Postgres professionals from around the world learn about the latest open source Postgres projects and ecosystem innovations. Our company, Pivotal, is extremely humbled by the opportunity of being a diamond sponsor at the event.

Our contribution to those attending the conference is to be able to share ideas and training with you about how our engineers have enriched Postgres to build the Greenplum Database, an open source massively parallel data analytics platform based on Postgres. For more than a decade, we have proven we have the right technology to migrate large scale-out analytical workloads (data warehouses) from legacy environments like Oracle, DB2, or Teradata to a Postgres friendly platform like Greenplum. We have also proven we have the right environment to support new types of advanced analytics (machine learning, graph, geospatial, text) in-database so you can offer your data scientists and developers a Postgres based alternative to non-Postgres ecosystems (e.g. Hadoop).

So with this understanding of what Greenplum can offer the Postgres community, I would like to highlight some Greenplum Summit Track sessions that will likely expand your knowledge of what is possible with Greenplum:

1) Greenplum: A Pivotal Moment on Wall Street - This is a maximum scalability and data processing case study for any Postgres-based engine, coming directly from our customer Morgan Stanley.

"Greenplum is an open source MPP database optimized for petabyte-sized data stores. Morgan Stanley (NYSE: MS) is a leading global financial services firm providing investment banking, securities, wealth management and investment management services. This talk will illustrate how Morgan Stanley has utilized Greenplum for various use cases and the lessons learned in managing an ever-increasing production plant."

2) Greenplum: Building a Postgres Fabric for Large-Scale Analytical Computation - Learn from two Greenplum technology leaders how Postgres is a critical component to build and deploy the largest analytical systems worldwide.

"Learn how Postgres as a core engine creates the fabric for large-scale analytics on multi-structured data, and why Greenplum is perfectly positioned in the Postgres ecosystem to be the main option for big data workloads."

Watch the teaser video about this session.

3) Greenplum for Internet Scale Analytics and Mining - This is coming from another Greenplum customer, Conversant, describing how they use our technology for massive analytics and data science.

"Conversant is the industry's most powerful personalized digital media company. Conversant processes billions of requests each and every day on behalf of our advertisers. In this session, we will cover how we handle these volumes and some of our analytical solutions on Greenplum Database to support our business insights and customer analytics products."

4) Executive Panel: DataOps In Practice - A Better Way to Develop and Deliver Analytics - Join industry analyst Redmonk, Morgan Stanley, Conversant, and Pivotal in an insightful conversation about how DevOps principles can be applied to data.

5) Greenplum Kontained: Coordinating Many Postgres Instances on Kubernetes - Explore how we combine the power of Kubernetes and Postgres for a containerized Greenplum execution.

"Kubernetes provides a new way to deploy and run software in containers with flexible Services and global DNS discovery. This session will describe the new deployment of Greenplum on the Pivotal Container Service (PKS - the K is for Kubernetes), which provides a Kubernetes environment running on an enterprise-grade infrastructure powered by the BOSH open source project."

Watch the teaser video about this session.

6) Machine Learning, Graph, Text and Geospatial on Postgres and Greenplum - Learn how we have expanded SQL to support big data analytics in-database.

"In addition to leveraging the rich set of Postgres capabilities like window functions, Greenplum offers machine learning, graph analytics, statistics, data transformation, text analytics, geospatial, multiple data science libraries, and connectivity to productivity tools like Jupyter and Apache Zeppelin. These innovations are all PostgreSQL-compatible but designed for massively parallel use cases."

Watch the teaser video about this session.

7) What It Means to Be a Massively Parallel Postgres DBA - Understand the similarities and differences of being a DBA in a Massively Parallel Postgres environment.

"We will explore MPP concepts, such as data distribution and segmentation, as well as Greenplum’s powerful internal and external table capabilities. Learn how to manage concurrent query activity in a Pivotal Greenplum environment using our sophisticated resource groups and workload management tools."

Watch the teaser video about this session.

8) Petabyte Scale Data Warehousing with Open Source Greenplum Database - This hands-on session will lead you through the entire process of creating, loading, and analyzing data in the Greenplum MPP database

"At the end of this workshop, attendees will learn modern DWH techniques in a Postgre based Massively Parallel Processing platform. This includes the basic architecture of the Greenplum Database, the parallel techniques for loading, querying, and analyzing structured and semi-structured data, as well as the tools Greenplum provides for doing analytics in the database."

Watch the teaser video about this session.

The sessions above are just a subset of all the content that we will be sharing with you next week. Pivotal is bringing some of our best Postgres and Greenplum professionals to the conference, attend to our sessions, stop by the Pivotal booth, and ask as many questions as you can to our experts. Follow our tweets from @PivotalData and @Greenplum and join the "Massive Parallel Postgres" conversation at #DataTellsTheStory.

Once again, we are honored and excited to be part of this Postgres community. We hope to see you next week in Jersey City to accelerate the momentum of Postgres and its ecosystem.