This document provides an introduction to HeteroDB, Inc. and its chief architect, KaiGai Kohei. It discusses PG-Strom, an open source PostgreSQL extension developed by HeteroDB for high performance data processing using heterogeneous architectures like GPUs. PG-Strom uses techniques like SSD-to-GPU direct data transfer and a columnar data store to accelerate analytics and reporting workloads on terabyte-scale log data using GPUs and NVMe SSDs. Benchmark results show PG-Strom can process terabyte workloads at throughput nearing the hardware limit of the storage and network infrastructure.
PGConf.ASIA 2019 - PGSpider High Performance Cluster Engine - Shigeo HiroseEqunix Business Solutions
PGSpider is a high-performance SQL cluster engine developed by Toshiba Corporation. It allows distributed querying of heterogeneous data sources using standard SQL. PGSpider improves retrieval performance through parallel queries across nodes and supports multi-tenant querying to retrieve records from the same table across nodes. It utilizes techniques like pushdown of conditional expressions and aggregation functions to nodes to reduce network traffic.
From PGConf Asia 2019. How did PostgreSQL become the primary database we think of for new projects? What makes it different? This talk goes over the history of the project and what makes it different.
Practical Partitioning in Production with PostgresEDB
Has your table become too large to handle? Have you thought about chopping it up into smaller pieces that are easier to query and maintain? What if it's in constant use? An introduction to the problems that can arise and how PostgreSQL's partitioning features can help, followed by a real-world scenario of partitioning an existing huge table on a live system. We will be looking at the problems caused by having very large tables in your database and how declarative table partitioning in Postgres can help. Also, how to perform dimensioning before but also after creating huge tables, partitioning key selection, the importance of upgrading to get the latest Postgres features and finally we will dive into a real-world scenario of having to partition an existing huge table in use on a production system.
Pivotal Greenplum provides fast, secure cloud deployments of its data warehouse platform with the same experience across AWS, Azure, and GCP. Deployments are optimized for speed through performance tuning of virtual machines, disks, and networks. Key goals include leveraging cloud features like on-demand provisioning, node replacement, disk snapshots, upgrades, and optional installations through a web interface. Deployments are similar across clouds with comparable parameters, tools, and software versions. Security is ensured through vendor-reviewed templates, password encryption, and network isolation.
This document provides an introduction to HeteroDB, Inc. and its chief architect, KaiGai Kohei. It discusses PG-Strom, an open source PostgreSQL extension developed by HeteroDB for high performance data processing using heterogeneous architectures like GPUs. PG-Strom uses techniques like SSD-to-GPU direct data transfer and a columnar data store to accelerate analytics and reporting workloads on terabyte-scale log data using GPUs and NVMe SSDs. Benchmark results show PG-Strom can process terabyte workloads at throughput nearing the hardware limit of the storage and network infrastructure.
PGConf.ASIA 2019 - PGSpider High Performance Cluster Engine - Shigeo HiroseEqunix Business Solutions
PGSpider is a high-performance SQL cluster engine developed by Toshiba Corporation. It allows distributed querying of heterogeneous data sources using standard SQL. PGSpider improves retrieval performance through parallel queries across nodes and supports multi-tenant querying to retrieve records from the same table across nodes. It utilizes techniques like pushdown of conditional expressions and aggregation functions to nodes to reduce network traffic.
From PGConf Asia 2019. How did PostgreSQL become the primary database we think of for new projects? What makes it different? This talk goes over the history of the project and what makes it different.
Practical Partitioning in Production with PostgresEDB
Has your table become too large to handle? Have you thought about chopping it up into smaller pieces that are easier to query and maintain? What if it's in constant use? An introduction to the problems that can arise and how PostgreSQL's partitioning features can help, followed by a real-world scenario of partitioning an existing huge table on a live system. We will be looking at the problems caused by having very large tables in your database and how declarative table partitioning in Postgres can help. Also, how to perform dimensioning before but also after creating huge tables, partitioning key selection, the importance of upgrading to get the latest Postgres features and finally we will dive into a real-world scenario of having to partition an existing huge table in use on a production system.
Pivotal Greenplum provides fast, secure cloud deployments of its data warehouse platform with the same experience across AWS, Azure, and GCP. Deployments are optimized for speed through performance tuning of virtual machines, disks, and networks. Key goals include leveraging cloud features like on-demand provisioning, node replacement, disk snapshots, upgrades, and optional installations through a web interface. Deployments are similar across clouds with comparable parameters, tools, and software versions. Security is ensured through vendor-reviewed templates, password encryption, and network isolation.
How-To: Zero Downtime Migrations from Oracle to a Cloud-Native PostgreSQLYugabyteDB
Presentation by Rajkumar Sen, Chief Technical Architect, Founder - BlitzzIO, recorded at Distributed SQL Summit on Sept 20, 2019.
https://vimeo.com/362348541
distributedsql.org/
Highly available databases are essential to organizations depending on mission-critical, 24/7 access to data. Postgres is widely recognized as an excellent open-source database, with critical maturity and features that allow organizations to scale and achieve high availability.
This webinar will explore:
- Evolution of replication in Postgres
- Streaming replication
- Logical replication
- Replication for high availability
- Important high availability parameters
- Options to monitor high availability
- HA infrastructure to patch the database with minimal downtime
- EDB Postgres Failover Manager (EFM)
- EDB tools to create a highly available Postgres architecture
This document outlines Pivotal's Greenplum roadmap. It discusses plans to enhance Greenplum's open source strategy by continuing to align with PostgreSQL functionality. It also describes strategies for multi-cloud support on AWS, Azure, Google Cloud and others as well as integration with Kubernetes. Near term focus areas include improving the query planner, adding resource groups and containerized Python/R support. The roadmap outlines enhancements through 2018 and a major release in 2019 incorporating additional PostgreSQL features while retaining MPP performance and scale. Long term initiatives include disaster recovery, foreign data and integrating new data types like spatial and time series data.
Present & Future of Greenplum Database A massively parallel Postgres Database...VMware Tanzu
Greenplum Database is Pivotal's massively parallel Postgres database. Version 5 has proven features for mission critical use cases. Version 6 adds improvements like row-level locking, foreign data wrappers, and online expansion to make Greenplum a superset of Postgres. It also provides up to 50x faster OLTP performance. Version 7 will focus on capabilities beyond the cluster like streaming replication and using Greenplum as a source for data integration tools.
Traditionally database systems were optimized either for OLAP either for OLTP workloads. Such mainstream DBMSes like Postgres,MySQL,... are mostly used for OLTP, while Greenplum, Vertica, Clickhouse, SparkSQL,... are oriented on analytic queries. But right now many companies do not want to have two different data stores for OLAP/OLTP and need to perform analytic queries on most recent data. I want to discuss which features should be added to Postgres to efficiently handle HTAP workload.
Agile Data Science on Greenplum Using Airflow - Greenplum Summit 2019VMware Tanzu
This document discusses using Apache Airflow to build agile data science pipelines on Greenplum Database. It outlines the typical data science phases of discovery and operationalization. In the discovery phase, rapid iteration and experimentation is used. The operationalization phase focuses on building automated, testable pipelines for data preparation, model training/scoring, monitoring, and APIs. It provides examples of directed acyclic graphs (DAGs) for end-to-end data processing, model training, model scoring, and model re-training. It emphasizes the importance of testing, monitoring failures, and fixing errors for responsive pipelines. Greenplum and Jupyter notebooks enable agile data science in discovery, while Greenplum, Airflow,
The document summarizes new features in PostgreSQL 13 and EDB Postgres Advanced Server 13. Some key highlights include improvements to vacuum that enable faster parallel vacuum of indexes and vacuum for append-only tables, enhanced security and consistency features like libpq channel binding, and new partitioning capabilities like interval partitioning and automatic hash partitioning. EDB Postgres Advanced Server 13 adds features like the ability to specify indexes during table creation and enhancements to data loading and Oracle compatibility.
Pivotal Greenplum is a massively parallel processing (MPP) database for analytics. It provides high performance for data warehousing and big data analytics workloads. Key features include its ability to load and query data in parallel across multiple CPUs and disks, support for SQL and analytical functions and libraries like MADlib, and deployment on public clouds or on-premises. Pivotal Greenplum can be used for both structured and unstructured data and integrates with other Pivotal products like GemFire, Data Flow, and the Pivotal Data Suite for analytics workflows.
Journey of Migrating 1 Million Presto Queries - Presto Webinar 2020Taro L. Saito
Arm Treasure Data utilizes Presto as the query engine processing over 1 million queries per day to support the data business of 500+ companies in three regions; US, EU, and Asia. Arm Treasure Data had been using Presto 0.205 and in 2019 started a big migration project to Presto 317. Although we performed extensive query simulations to check any incompatibilities, we faced many unexpected challenges during the migration at production.
The Pivotal Greenplum-Spark Connector provides high speed, parallel data transfer between Greenplum Database and Apache Spark clusters to support:
- Interactive data analysis
- In-memory analytics processing
- Batch ETL
- Continuous ETL pipeline (streaming)
When was the last time Oracle costs went down? Find out how EDB Postgres can help:
- Cap, reduce and in some cases, eliminate your Oracle spend
- Mediate the impact of Oracle ULAs
- Provide choice in selecting an RDBMS
In this webinar to explore the technical perspective of moving off Oracle.
As the core SQL processing engine of the Greenplum Unified Analytics Platform, the Greenplum Database delivers Industry leading performance for Big Data Analytics while scaling linearly on massively parallel processing clusters of standard x86 servers. This session reviews the product's underlying architecture, identify key differentiation areas, go deep into the new features introduced in Greenplum Database Release 4.2, and discuss our plans for 2012.
Always upgrade! There are hundreds of fixes between each PostgreSQL release, and an important number of them are security fixes! Logical replication allows making major upgrades with minimal downtime and feasible cons.
This is the presentation I delivered on Hadoop User Group Ireland meetup in Dublin on Nov 28 2015. It covers at glance the architecture of GPDB and most important its features. Sorry for the colors - Slideshare is crappy with PDFs
Join Postgres experts Bruce Momjian, Rushabh Lathia, and Marc Linster as they preview everything new in PostgreSQL 13. You don’t want to miss this!
This session will explore:
- Performance benchmarking: 4 years of going faster
- Logical subscription for partitioned tables
- Partitionwise joins
- BEFORE row-level triggers
- Parallel vacuum for indexes
- Corruption checking: pg_catcheck
- Improved security: libpq with channel binding
- EDB Postgres Advanced Server improved partitioning features
- Additional enhancements - PostgreSQL and EDB Postgres - -
- Advanced Server
Want to get all the PostgreSQL 13 updates but can’t make the live webinar? Register here and we will send you the slides and recording following the session.
Greenplum for Kubernetes - Greenplum Summit 2019VMware Tanzu
The document discusses Greenplum for Kubernetes, which allows Greenplum databases to be deployed on Kubernetes. It can be deployed on public clouds, private clouds, or bare metal. Greenplum is packaged as containers for portability and managed by Kubernetes for high availability and elasticity. Benefits include speed of deployment, savings from using existing Kubernetes skills and hardware, security, stability, and scalability. Use cases include agile analytics, workbenches with curated tool stacks, and automatic data platforms with day-2 operations automation.
Join Postgres experts Marc Linster and Devrim Gündüz as they provide a step by step guide for installing PostgreSQL and EDB Postgres Advanced Server on Linux.
Highlights include:
- The advantages of native packages
- An in-depth look at RPMs and DEBs
- A step-by-step demo
Docker containers are great for running stateless microservices, but what about stateful applications such as databases and persistent queues? Kubernetes provides the StatefulSets controller for such applications that have to manage data in some form of persistent storage. While StatefulSets is a great start, a lot more goes into ensuring high performance, data durability and high availability for stateful apps in Kubernetes. Following are 5 best practices that developers and operations engineers should be aware of.
1. Ensure high performance with local persistent volumes and pod anti-affinity rules.
2. Achieve data resilience with auto-failover and multi-zone pod scheduling.
3. Integrate StatefulSet services with other application services through NodePorts & LoadBalancer services.
4. Run Day 2 operations such as monitoring, elastic scaling, capacity re-sizing, backups with caution.
5. Automate operations through Kubernetes Operators that extend the StatefulSets controller.
We will demonstrate how to run a complete E-Commerce application powered by YugaByte DB, when all services are deployed in Kubernetes.
Postgres Deployment Automation with Terraform and AnsibleEDB
This document provides an overview of PostgreSQL deployment automation using Terraform and Ansible. It begins with a brief introduction of Ansible and Terraform. It then describes EDB's open source projects for PostgreSQL deployment automation, including features and capabilities. The document reviews deployment automation capabilities with Ansible such as configuring repositories, installing database packages, initializing databases, setting up replication, and managing database servers. It also discusses deployment automation with Terraform for provisioning infrastructure on public clouds like AWS, Azure, and GCP. Finally, it presents the roadmap for future features.
When your databases support mission-critical applications, latency and outages can hurt your business. That’s why you need monitoring and management tools to help you keep your enterprise Postgres servers — and the applications they support — consistently available and consistently fast. In this webinar, you’ll learn:
The various tasks — monitoring, administration, etc. — required to keep a database server working well, and how they differ
Why it’s hard to monitor databases with general-purpose monitoring tools
The main tools available for enterprise Postgres needs
How these solutions differ, and when and why to choose each of them for specific cases
By the end of this session, you will have an understanding of how to avoid downtime and optimize the user experience with database monitoring tools.
You’ve taken your first steps into Node.js. You’ve learned how to initialize your projects, you’ve played with some dependencies, and you’re ready to get into some serious Node work. In this session, we’ll dive further into Node as a framework. We’ll learn how to master Node’s inherently asynchronous nature, take advantage of Node’s events and streams capabilities, and learn about sophisticated Node deployments at scale. Participants will leave with a richer understanding of what Node has to offer and higher confidence in dealing with some of Node’s more difficult concepts.
How-To: Zero Downtime Migrations from Oracle to a Cloud-Native PostgreSQLYugabyteDB
Presentation by Rajkumar Sen, Chief Technical Architect, Founder - BlitzzIO, recorded at Distributed SQL Summit on Sept 20, 2019.
https://vimeo.com/362348541
distributedsql.org/
Highly available databases are essential to organizations depending on mission-critical, 24/7 access to data. Postgres is widely recognized as an excellent open-source database, with critical maturity and features that allow organizations to scale and achieve high availability.
This webinar will explore:
- Evolution of replication in Postgres
- Streaming replication
- Logical replication
- Replication for high availability
- Important high availability parameters
- Options to monitor high availability
- HA infrastructure to patch the database with minimal downtime
- EDB Postgres Failover Manager (EFM)
- EDB tools to create a highly available Postgres architecture
This document outlines Pivotal's Greenplum roadmap. It discusses plans to enhance Greenplum's open source strategy by continuing to align with PostgreSQL functionality. It also describes strategies for multi-cloud support on AWS, Azure, Google Cloud and others as well as integration with Kubernetes. Near term focus areas include improving the query planner, adding resource groups and containerized Python/R support. The roadmap outlines enhancements through 2018 and a major release in 2019 incorporating additional PostgreSQL features while retaining MPP performance and scale. Long term initiatives include disaster recovery, foreign data and integrating new data types like spatial and time series data.
Present & Future of Greenplum Database A massively parallel Postgres Database...VMware Tanzu
Greenplum Database is Pivotal's massively parallel Postgres database. Version 5 has proven features for mission critical use cases. Version 6 adds improvements like row-level locking, foreign data wrappers, and online expansion to make Greenplum a superset of Postgres. It also provides up to 50x faster OLTP performance. Version 7 will focus on capabilities beyond the cluster like streaming replication and using Greenplum as a source for data integration tools.
Traditionally database systems were optimized either for OLAP either for OLTP workloads. Such mainstream DBMSes like Postgres,MySQL,... are mostly used for OLTP, while Greenplum, Vertica, Clickhouse, SparkSQL,... are oriented on analytic queries. But right now many companies do not want to have two different data stores for OLAP/OLTP and need to perform analytic queries on most recent data. I want to discuss which features should be added to Postgres to efficiently handle HTAP workload.
Agile Data Science on Greenplum Using Airflow - Greenplum Summit 2019VMware Tanzu
This document discusses using Apache Airflow to build agile data science pipelines on Greenplum Database. It outlines the typical data science phases of discovery and operationalization. In the discovery phase, rapid iteration and experimentation is used. The operationalization phase focuses on building automated, testable pipelines for data preparation, model training/scoring, monitoring, and APIs. It provides examples of directed acyclic graphs (DAGs) for end-to-end data processing, model training, model scoring, and model re-training. It emphasizes the importance of testing, monitoring failures, and fixing errors for responsive pipelines. Greenplum and Jupyter notebooks enable agile data science in discovery, while Greenplum, Airflow,
The document summarizes new features in PostgreSQL 13 and EDB Postgres Advanced Server 13. Some key highlights include improvements to vacuum that enable faster parallel vacuum of indexes and vacuum for append-only tables, enhanced security and consistency features like libpq channel binding, and new partitioning capabilities like interval partitioning and automatic hash partitioning. EDB Postgres Advanced Server 13 adds features like the ability to specify indexes during table creation and enhancements to data loading and Oracle compatibility.
Pivotal Greenplum is a massively parallel processing (MPP) database for analytics. It provides high performance for data warehousing and big data analytics workloads. Key features include its ability to load and query data in parallel across multiple CPUs and disks, support for SQL and analytical functions and libraries like MADlib, and deployment on public clouds or on-premises. Pivotal Greenplum can be used for both structured and unstructured data and integrates with other Pivotal products like GemFire, Data Flow, and the Pivotal Data Suite for analytics workflows.
Journey of Migrating 1 Million Presto Queries - Presto Webinar 2020Taro L. Saito
Arm Treasure Data utilizes Presto as the query engine processing over 1 million queries per day to support the data business of 500+ companies in three regions; US, EU, and Asia. Arm Treasure Data had been using Presto 0.205 and in 2019 started a big migration project to Presto 317. Although we performed extensive query simulations to check any incompatibilities, we faced many unexpected challenges during the migration at production.
The Pivotal Greenplum-Spark Connector provides high speed, parallel data transfer between Greenplum Database and Apache Spark clusters to support:
- Interactive data analysis
- In-memory analytics processing
- Batch ETL
- Continuous ETL pipeline (streaming)
When was the last time Oracle costs went down? Find out how EDB Postgres can help:
- Cap, reduce and in some cases, eliminate your Oracle spend
- Mediate the impact of Oracle ULAs
- Provide choice in selecting an RDBMS
In this webinar to explore the technical perspective of moving off Oracle.
As the core SQL processing engine of the Greenplum Unified Analytics Platform, the Greenplum Database delivers Industry leading performance for Big Data Analytics while scaling linearly on massively parallel processing clusters of standard x86 servers. This session reviews the product's underlying architecture, identify key differentiation areas, go deep into the new features introduced in Greenplum Database Release 4.2, and discuss our plans for 2012.
Always upgrade! There are hundreds of fixes between each PostgreSQL release, and an important number of them are security fixes! Logical replication allows making major upgrades with minimal downtime and feasible cons.
This is the presentation I delivered on Hadoop User Group Ireland meetup in Dublin on Nov 28 2015. It covers at glance the architecture of GPDB and most important its features. Sorry for the colors - Slideshare is crappy with PDFs
Join Postgres experts Bruce Momjian, Rushabh Lathia, and Marc Linster as they preview everything new in PostgreSQL 13. You don’t want to miss this!
This session will explore:
- Performance benchmarking: 4 years of going faster
- Logical subscription for partitioned tables
- Partitionwise joins
- BEFORE row-level triggers
- Parallel vacuum for indexes
- Corruption checking: pg_catcheck
- Improved security: libpq with channel binding
- EDB Postgres Advanced Server improved partitioning features
- Additional enhancements - PostgreSQL and EDB Postgres - -
- Advanced Server
Want to get all the PostgreSQL 13 updates but can’t make the live webinar? Register here and we will send you the slides and recording following the session.
Greenplum for Kubernetes - Greenplum Summit 2019VMware Tanzu
The document discusses Greenplum for Kubernetes, which allows Greenplum databases to be deployed on Kubernetes. It can be deployed on public clouds, private clouds, or bare metal. Greenplum is packaged as containers for portability and managed by Kubernetes for high availability and elasticity. Benefits include speed of deployment, savings from using existing Kubernetes skills and hardware, security, stability, and scalability. Use cases include agile analytics, workbenches with curated tool stacks, and automatic data platforms with day-2 operations automation.
Join Postgres experts Marc Linster and Devrim Gündüz as they provide a step by step guide for installing PostgreSQL and EDB Postgres Advanced Server on Linux.
Highlights include:
- The advantages of native packages
- An in-depth look at RPMs and DEBs
- A step-by-step demo
Docker containers are great for running stateless microservices, but what about stateful applications such as databases and persistent queues? Kubernetes provides the StatefulSets controller for such applications that have to manage data in some form of persistent storage. While StatefulSets is a great start, a lot more goes into ensuring high performance, data durability and high availability for stateful apps in Kubernetes. Following are 5 best practices that developers and operations engineers should be aware of.
1. Ensure high performance with local persistent volumes and pod anti-affinity rules.
2. Achieve data resilience with auto-failover and multi-zone pod scheduling.
3. Integrate StatefulSet services with other application services through NodePorts & LoadBalancer services.
4. Run Day 2 operations such as monitoring, elastic scaling, capacity re-sizing, backups with caution.
5. Automate operations through Kubernetes Operators that extend the StatefulSets controller.
We will demonstrate how to run a complete E-Commerce application powered by YugaByte DB, when all services are deployed in Kubernetes.
Postgres Deployment Automation with Terraform and AnsibleEDB
This document provides an overview of PostgreSQL deployment automation using Terraform and Ansible. It begins with a brief introduction of Ansible and Terraform. It then describes EDB's open source projects for PostgreSQL deployment automation, including features and capabilities. The document reviews deployment automation capabilities with Ansible such as configuring repositories, installing database packages, initializing databases, setting up replication, and managing database servers. It also discusses deployment automation with Terraform for provisioning infrastructure on public clouds like AWS, Azure, and GCP. Finally, it presents the roadmap for future features.
When your databases support mission-critical applications, latency and outages can hurt your business. That’s why you need monitoring and management tools to help you keep your enterprise Postgres servers — and the applications they support — consistently available and consistently fast. In this webinar, you’ll learn:
The various tasks — monitoring, administration, etc. — required to keep a database server working well, and how they differ
Why it’s hard to monitor databases with general-purpose monitoring tools
The main tools available for enterprise Postgres needs
How these solutions differ, and when and why to choose each of them for specific cases
By the end of this session, you will have an understanding of how to avoid downtime and optimize the user experience with database monitoring tools.
You’ve taken your first steps into Node.js. You’ve learned how to initialize your projects, you’ve played with some dependencies, and you’re ready to get into some serious Node work. In this session, we’ll dive further into Node as a framework. We’ll learn how to master Node’s inherently asynchronous nature, take advantage of Node’s events and streams capabilities, and learn about sophisticated Node deployments at scale. Participants will leave with a richer understanding of what Node has to offer and higher confidence in dealing with some of Node’s more difficult concepts.
IRJET- Top-K Query Processing using Top Order Preserving Encryption (TOPE)IRJET Journal
This document proposes a method called Top Order Preserving Encryption (TOPE) to support top-k queries on encrypted data outsourced to public clouds. TOPE extends existing Order Preserving Encryption (OPE) schemes to preserve order when encrypting data, allowing comparison operations and queries to be run directly on the encrypted data. The proposed method uses TOPE to encrypt data before outsourcing to the cloud, and stores the encrypted data in min-heap and max-heap trees indexed by attributes. This allows the cloud to efficiently retrieve the top-k most relevant tuples for a given query while preserving data privacy during query processing.
AWS Earth and Space 2018 - Element 84 Processing and Streaming GOES-16 Data...Dan Pilone
Presentation from AWS Earth and Space summit in Washington DC June 2018 demonstrating Element 84's serverless data processing pipeline and video encoding approach using NOAA's GOES-16 Public Data Set. More information available at https://labs.element84.com/.
Aerospike Data Modeling - Meetup Dec 2019Aerospike
This is a presentation done by Ronen Botzer, the Director of Product at Aerospike as part of the IronSource meetup in Israel (December 2019).
In this talk, Ronen explained how to use nested CDTs and Bitwise operations in order to manage user segmentation and to create a proper data model.
Theresa Melvin, HP Enterprise - IOT/AI/ML at Hyperscale - how to go faster wi...Aerospike
The document discusses hyperscale AI and how to achieve faster performance with a smaller footprint. It outlines an end-to-end hyperscale design from HPE that spans from ingestion at the edge to analytics in the core and cloud. The design utilizes technologies like persistent memory, high-performance networking and hardware, and distributed databases optimized for AI workloads. It provides examples of how this design has been implemented and tested on real-world AI and analytics problems.
Python & Serverless: Refactor your monolith piece by pieceGiuseppe Vallarelli
This document discusses refactoring a monolithic application into microservices using a serverless approach. It describes a scenario where an investment application has separate databases for the web app and investments that require manual updates. The proposed solution is to extract services from the monolith piece by piece using APIs and event-driven architecture. Guidelines are provided around defining service boundaries, data modeling, integration patterns, testing, and monitoring distributed systems. Potential limitations of serverless computing are also outlined.
This document provides information on updates and improvements made in 2020 Winter to various NTT DATA INTRAMART products. Key points include:
- System requirements were updated to remove unsupported OS and browsers, and add new supported versions.
- Features were improved for various products including IM-Notice, IM-Common Master, IM-BloomMaker, IM-Workflow, IM-BPM, and IM-RPA.
- APIs were added to retrieve process definition models and acquire query execution results from ViewCreator.
- The asynchronous operation for calling UiPath jobs from IM-LogicDesigner was enhanced.
For SBI Securities, Pivotal GemFire’s results speak for themselves – greater performance with fewer resources. It provides extremely low latency and scales with spikes as well as usage growth over time. Importantly, GemFire also provides a more cost-effective means of managing the data tier for high-volume data industries, like an online brokerage with plans for future growth.
To learn more, visit pivotal.io/big-data/pivotal-gemfire.
IRJET- ALPYNE - A Grid Computing FrameworkIRJET Journal
The document describes Alpyne, a grid computing framework built using Python. It aims to make setting up a grid computing system easy by providing libraries, APIs, and applications. Key features include load balancing across nodes based on their computing power, high availability, failure management, and a web UI. The framework uses Docker containers for virtualization and MongoDB for data storage, with modular interfaces that can be replaced. It aims to more easily support Python applications on grids compared to existing frameworks like Hadoop and Spark.
IDERA Live | The Ever Growing Science of Database MigrationsIDERA Software
You can watch the replay for this webcast in the IDERA Resource Center: http://ow.ly/QHaG50A58ZB
Many information technology professionals may not recognize it, but the bulk of their work has been and continues to be nothing more than database migrations. In the old days to share files across systems, then to move files into relational databases, then to load into data warehouses, and finally now we're moving to NoSQL and the cloud. In the presentation we'll delve into the ever growing and increasingly complex world of database migrations. Some of these considerations include what issues must be planned for and overcome, what problems are likely to occur, and what types of tools exist.
Database expert Bert Scalzo will cover these and many other database migration concerns.
About Bert: Bert Scalzo is an Oracle ACE, author, speaker, consultant, and a major contributor for many popular database tools used by millions of people worldwide. He has 30+ years of database experience and has worked for several major database vendors. He has BS, MS and Ph.D. in computer science plus an MBA. He has presented at numerous events and webcasts. His areas of key interest include data modeling, database benchmarking, database tuning, SQL optimization, "star schema" data warehousing, running databases on Linux or VMware, and using NVMe flash based technology to speed up database performance.
Nasscom Presentation Microservices Database Architecture By TudipArti Kadu
Tudip's CTO Mr. Tushar Apshankar spoke about 'Database design for containerized microservices' in NASSCOM product conclave at Pune.
Here is Slide Share for the same:)
An e-commerce application that enables two types of users to use the digitized way for toll-tax bill pay settlements. Admin is a user who has authority to create and delete an operator and on the other hand users as operators keep track of vehicle details and generate bills.
Managing Postgres at Scale With Postgres Enterprise ManagerEDB
Dave Page shows you how to manage large scale Postgres deployments and highlights how Postgres Enterprise Manager can be used for monitoring, alerting and administration of your Postgres estate - no matter where it is deployed.
The document provides information on Hazelcast Jet, a distributed computing platform for fast processing of big data sets. Hazelcast Jet is based on a parallel core engine that allows data-intensive applications to operate at near real-time speeds. It offers high performance, flexibility, and ease of use for both batch and stream processing.
How Lucene Powers the LinkedIn Segmentation and Targeting Platformlucenerevolution
Presented by Hien Luu, Technical Lead, LinkedIn
Rajasekaran Rangaswamy, LinkedIn
For internet companies, marketing campaigns play an important role in acquiring new customers, retaining and engaging existing customers, and promoting new products. The LinkedIn segmentation and targeting platform helps marketing teams to easily and quickly create member segments based on member attributes using nested predicate expressions ranging from simple to complex. Once segments are created, then those qualified members are targeted with marketing campaigns.
Lucene is a key piece of technology in this platform. This session will cover how we leverage Hadoop to efficiently build Lucene indexes for a large and growing member attribute data set of 225 million members, and how Lucene is used to create segments based on complex nested predicate expressions. This presentation will also share some of the lessons we learned and challenges we encountered from using Lucene to search over large data sets.
Slides for meetup @Talentica Software on 25th January 2020
Topics Covered:
1. Dependency Injection
2. Ng-schematics
3. How to structure your apps
4. Deployment
Presentazione dello speech tenuto da Carmine Spagnuolo (Postdoctoral Research Fellow - Università degli Studi di Salerno/ ACT OR) dal titolo "Technology insights: Decision Science Platform", durante il Decision Science Forum 2019, il più importante evento italiano sulla Scienza delle Decisioni.
The document discusses Oracle's approach to helping customers transition to the cloud through the use of engineered systems and cloud machines. It summarizes Oracle's view that engineered systems and cloud machines are complementary technologies that should be used and sold together. The document then provides an overview of Gartner's concepts of bimodal IT and pace layers, and how Oracle's technologies can help customers implement systems of record, differentiation, and innovation using these models. Finally, it provides an example of how this approach could be applied at a customer like the Province of British Columbia.
Similar to PGConf.ASIA 2019 Bali - Partitioning in PostgreSQL - Amit Langote (20)
Equnix Business Solutions (Equnix) is an IT Solution provider in Indonesia, providing comprehensive solution services especially on the infrastructure side for corporate business needs based on research and Open Source. Equnix has 3 (three) main services known as the Trilogy of Services: Support (Maintenance/Managed), World class level of Software Development, and Expert Consulting and Assessment for High Performance Transactions System. Equnix is customer oriented, not product or principal. Equal opportunity based on merit is our credo in managing HR development.
Kebocoran Data_ Tindakan Hacker atau Kriminal_ Bagaimana kita mengantisipasi...Equnix Business Solutions
Equnix Business Solutions (Equnix) is an IT Solution provider in Indonesia, providing comprehensive solution services especially on the infrastructure side for corporate business needs based on research and Open Source. Equnix has 3 (three) main services known as the Trilogy of Services: Support (Maintenance/Managed), World class level of Software Development, and Expert Consulting and Assessment for High Performance Transactions System. Equnix is customer oriented, not product or principal. Equal opportunity based on merit is our credo in managing HR development.
Equnix Business Solutions (Equnix) is an IT Solution provider in Indonesia, providing comprehensive solution services especially on the infrastructure side for corporate business needs based on research and Open Source. Equnix has 3 (three) main services known as the Trilogy of Services: Support (Maintenance/Managed), World class level of Software Development, and Expert Consulting and Assessment for High Performance Transactions System. Equnix is customer oriented, not product or principal. Equal opportunity based on merit is our credo in managing HR development.
Equnix Business Solutions (Equnix) is an IT Solution provider in Indonesia, providing comprehensive solution services especially on the infrastructure side for corporate business needs based on research and Open Source. Equnix has 3 (three) main services known as the Trilogy of Services: Support (Maintenance/Managed), World class level of Software Development, and Expert Consulting and Assessment for High Performance Transactions System. Equnix is customer oriented, not product or principal. Equal opportunity based on merit is our credo in managing HR development.
Equnix Business Solutions (Equnix) is an IT Solution provider in Indonesia, providing comprehensive solution services especially on the infrastructure side for corporate business needs based on research and Open Source. Equnix has 3 (three) main services known as the Trilogy of Services: Support (Maintenance/Managed), World class level of Software Development, and Expert Consulting and Assessment for High Performance Transactions System. Equnix is customer oriented, not product or principal. Equal opportunity based on merit is our credo in managing HR development.
[EWTT2022] Strategi Implementasi Database dalam Microservice Architecture.pdfEqunix Business Solutions
Equnix Business Solutions (Equnix) is an IT Solution provider in Indonesia, providing comprehensive solution services especially on the infrastructure side for corporate business needs based on research and Open Source. Equnix has 3 (three) main services known as the Trilogy of Services: Support (Maintenance/Managed), World class level of Software Development, and Expert Consulting and Assessment for High Performance Transactions System. Equnix is customer oriented, not product or principal. Equal opportunity based on merit is our credo in managing HR development.
Equnix Business Solutions (Equnix) is an IT Solution provider in Indonesia, providing comprehensive solution services especially on the infrastructure side for corporate business needs based on research and Open Source. Equnix has 3 (three) main services known as the Trilogy of Services: Support (Maintenance/Managed), World class level of Software Development, and Expert Consulting and Assessment for High Performance Transactions System. Equnix is customer oriented, not product or principal. Equal opportunity based on merit is our credo in managing HR development.
Equnix Business Solutions (Equnix) is an IT Solution provider in Indonesia, providing comprehensive solution services especially on the infrastructure side for corporate business needs based on research and Open Source. Equnix has 3 (three) main services known as the Trilogy of Services: Support (Maintenance/Managed), World class level of Software Development, and Expert Consulting and Assessment for High Performance Transactions System. Equnix is customer oriented, not product or principal. Equal opportunity based on merit is our credo in managing HR development.
Equnix Business Solutions (Equnix) is an IT Solution provider in Indonesia, providing comprehensive solution services especially on the infrastructure side for corporate business needs based on research and Open Source. Equnix has 3 (three) main services known as the Trilogy of Services: Support (Maintenance/Managed), World class level of Software Development, and Expert Consulting and Assessment for High Performance Transactions System. Equnix is customer oriented, not product or principal. Equal opportunity based on merit is our credo in managing HR development.
Equnix Business Solutions (Equnix) is an IT Solution provider in Indonesia, providing comprehensive solution services especially on the infrastructure side for corporate business needs based on research and Open Source. Equnix has 3 (three) main services known as the Trilogy of Services: Support (Maintenance/Managed), World class level of Software Development, and Expert Consulting and Assessment for High Performance Transactions System. Equnix is customer oriented, not product or principal. Equal opportunity based on merit is our credo in managing HR development.
Equnix Business Solutions (Equnix) is an IT Solution provider in Indonesia, providing comprehensive solution services especially on the infrastructure side for corporate business needs based on research and Open Source. Equnix has 3 (three) main services known as the Trilogy of Services: Support (Maintenance/Managed), World class level of Software Development, and Expert Consulting and Assessment for High Performance Transactions System. Equnix is customer oriented, not product or principal. Equal opportunity based on merit is our credo in managing HR development.
Equnix Appliance- Jawaban terbaik untuk kebutuhan komputasi yang mumpuni.pdfEqunix Business Solutions
Equnix Business Solutions (Equnix) is an IT Solution provider in Indonesia, providing comprehensive solution services especially on the infrastructure side for corporate business needs based on research and Open Source. Equnix has 3 (three) main services known as the Trilogy of Services: Support (Maintenance/Managed), World class level of Software Development, and Expert Consulting and Assessment for High Performance Transactions System. Equnix is customer oriented, not product or principal. Equal opportunity based on merit is our credo in managing HR development.
Equnix Business Solutions (Equnix) is an IT Solution provider in Indonesia, providing comprehensive solution services especially on the infrastructure side for corporate business needs based on research and Open Source. Equnix has 3 (three) main services known as the Trilogy of Services: Support (Maintenance/Managed), World class level of Software Development, and Expert Consulting and Assessment for High Performance Transactions System. Equnix is customer oriented, not product or principal. Equal opportunity based on merit is our credo in managing HR development.
Equnix Business Solutions (Equnix) is an IT Solution provider in Indonesia, providing comprehensive solution services especially on the infrastructure side for corporate business needs based on research and Open Source. Equnix has 3 (three) main services known as the Trilogy of Services: Support (Maintenance/Managed), World class level of Software Development, and Expert Consulting and Assessment for High Performance Transactions System. Equnix is customer oriented, not product or principal. Equal opportunity based on merit is our credo in managing HR development.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Northern Engraving | Nameplate Manufacturing Process - 2024Northern Engraving
Manufacturing custom quality metal nameplates and badges involves several standard operations. Processes include sheet prep, lithography, screening, coating, punch press and inspection. All decoration is completed in the flat sheet with adhesive and tooling operations following. The possibilities for creating unique durable nameplates are endless. How will you create your brand identity? We can help!
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/temporal-event-neural-networks-a-more-efficient-alternative-to-the-transformer-a-presentation-from-brainchip/
Chris Jones, Director of Product Management at BrainChip , presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit.
The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers.
Integration with BrainChip’s Akida neuromorphic hardware IP further enhances TENNs’ capabilities, enabling the realization of highly capable, portable and passively cooled edge devices. This presentation delves into the technical innovations underlying TENNs, presents real-world benchmarks, and elucidates how this cutting-edge approach is positioned to revolutionize edge AI across diverse applications.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-EfficiencyScyllaDB
Freshworks creates AI-boosted business software that helps employees work more efficiently and effectively. Managing data across multiple RDBMS and NoSQL databases was already a challenge at their current scale. To prepare for 10X growth, they knew it was time to rethink their database strategy. Learn how they architected a solution that would simplify scaling while keeping costs under control.
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
Dandelion Hashtable: beyond billion requests per second on a commodity serverAntonios Katsarakis
This slide deck presents DLHT, a concurrent in-memory hashtable. Despite efforts to optimize hashtables, that go as far as sacrificing core functionality, state-of-the-art designs still incur multiple memory accesses per request and block request processing in three cases. First, most hashtables block while waiting for data to be retrieved from memory. Second, open-addressing designs, which represent the current state-of-the-art, either cannot free index slots on deletes or must block all requests to do so. Third, index resizes block every request until all objects are copied to the new index. Defying folklore wisdom, DLHT forgoes open-addressing and adopts a fully-featured and memory-aware closed-addressing design based on bounded cache-line-chaining. This design offers lock-free index operations and deletes that free slots instantly, (2) completes most requests with a single memory access, (3) utilizes software prefetching to hide memory latencies, and (4) employs a novel non-blocking and parallel resizing. In a commodity server and a memory-resident workload, DLHT surpasses 1.6B requests per second and provides 3.5x (12x) the throughput of the state-of-the-art closed-addressing (open-addressing) resizable hashtable on Gets (Deletes).
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
The Microsoft 365 Migration Tutorial For Beginner.pptxoperationspcvita
This presentation will help you understand the power of Microsoft 365. However, we have mentioned every productivity app included in Office 365. Additionally, we have suggested the migration situation related to Office 365 and how we can help you.
You can also read: https://www.systoolsgroup.com/updates/office-365-tenant-to-tenant-migration-step-by-step-complete-guide/
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor IvaniukFwdays
At this talk we will discuss DDoS protection tools and best practices, discuss network architectures and what AWS has to offer. Also, we will look into one of the largest DDoS attacks on Ukrainian infrastructure that happened in February 2022. We'll see, what techniques helped to keep the web resources available for Ukrainians and how AWS improved DDoS protection for all customers based on Ukraine experience
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...Jason Yip
The typical problem in product engineering is not bad strategy, so much as “no strategy”. This leads to confusion, lack of motivation, and incoherent action. The next time you look for a strategy and find an empty space, instead of waiting for it to be filled, I will show you how to fill it in yourself. If you’re wrong, it forces a correction. If you’re right, it helps create focus. I’ll share how I’ve approached this in the past, both what works and lessons for what didn’t work so well.
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.