Upcoming Webinar 6 19: A Deep Dive Into PostgreSQL Indexing

This webinar will explore the technologies and trends behind this new generation of distributed databases, then take a technical deep dive into one example: ScyllaDB. ScyllaDB was built specifically for extreme low latencies, but has recently increased consistency by implementing the Raft consensus protocol. Engineers will share how they are implementing a low-latency architecture, and how strongly consistent topology and schema changes enable highly reliable and safe systems, without sacrificing low-latency characteristics.

This webinar will explore the technologies and trends behind this new generation of distributed databases, then take a technical deep dive into one example: the open source non-relational database ScyllaDB.

Are you thinking about or currently migrating to Postgres from Oracle Watch this video for helpful tips from PostgreSQL experts Ash Recksiedler and Robert Mandeville. For a deeper dive into how to optimize PostgreSQL migration projects, read this blog about the benefits of using Wait Time Analysis.

In this class aimed at professional programmers we will dive deep into Ruby on Rails, \"the Rails way\". You'll learn the development processes, workflow and tools that make Rails such a powerful development platform and how it differentiates from what you may be using now. Additionally, we will be learning to leverage PostgreSQL and its wealth of powerful features including full text search, custom data types, geospatial data with PostGIS as well as how Rails makes it easy to take full advantage of your database. Finally, we will dive into performance turning, architectural patterns, production infrastructure and tips to help your system avoid common pitfalls. By the end of this class, you should have a level of proficiency with Ruby, Rails and PostgreSQL that rivals your current platform of choice.

We hope this article has given you a solid understanding of full text search indexing concepts and the options available to you in Compose PostgreSQL. If you want to dive in deeper, you can read the official documentation here. In a future article, we'll have a look at search ranking and querying full text fields in PostgreSQL.

In order to get the overall execution time we have to sum up the execution time of the different steps. This seems painful but delivers fined grained breakdown of the query execution. However most of the time the majority of the execution time is spent on the execute stage, to better understand what's going on at this stage, we need to dive deeper into the RDBMS (see next chapter about explain plans).

Now that we have pinpointed the problematic query(ies) we can deep dive into PostgreSQL's logic and understand why the query is slow. RDBMS rely on their query planner to decide how to deal with a query.

In an upcoming blog, we will take a deep dive into more advanced topics for geospatial processing at-scale with Databricks. You will find additional details about the spatial formats and highlighted frameworks by reviewing Data Prep Notebook, GeoMesa + H3 Notebook, GeoSpark Notebook, GeoPandas Notebook, and Rasterframes Notebook. Also, stay tuned for a new section in our documentation specifically for geospatial topics of interest.

In this session we will perform a deep dive into Oracle Audit Vault and Database Firewall (AVDF) version 20.4 and experience a live real-time demonstration of Oracle AVDF as it monitors both Oracle and non-Oracle database traffic to detect and block security threats via Database Firewall.

Have you had that one SQL statement that you just couldn't figure out what the Oracle optimizer was thinking In this session we will take a deep dive into doing a trace and talk about some of the sledgehammer methods to influence the optimizer. You may not find the solution to that one nagging SQL, but we will cover how the optimizer frustrated you so. Using these tools along with Oracleís SQL Plan Management or Profiles you may be able to achieve your goals.

This presentation will look at 12c to 21c new features that should be investigated for use which include Multitenant, In-Memory, Oracle 19c Automatic Indexing, and many more. I will discuss the 12c to 21c Journey for these new features with examples and sample code. Attendees can expect brief introduction of all the new features with deep dives into Multitenant, In-Memory, and Automatic Indexing.

If you are curious about why you should learn spatial SQL, what you can do with it, and how you can use it with just about any geospatial stack, start here. The MapScaping Podcast, which is a must for anyone in geospatial, dives deep into spatial SQL with Paul Ramsey, one of the creators of PostGIS. 153554b96e

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