Magical Methods for Batch Data Processing
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This document discusses human resource information systems (HRIS) and SAP HR software. It defines HRIS as computer-based applications for processing HR management data. The document outlines the functions of HRIS, including maintaining employee records, ensuring legal compliance, and assisting managers with relevant data. It also discusses the operational, tactical, and strategic uses of HRIS. Finally, it provides an overview of the SAP HR module as one of the largest HRIS software options, covering its functional areas, career opportunities, and implementation best practices.
Turbocharging FME: How to Improve the Performance of Your FME Workspaces
Getting the best performance out of FME is as important to us as it is to you. In this webinar, you’ll get tips from three FME experts - Mark Ireland (FME Evangelist), David Eagle (FME Certified Trainer and Professional) and Dale Lutz (Safe Software Co-founder). They’ll share easy-to-apply advice on: querying databases efficiently, making the most of FME's new multiprocessing capabilities, and simple techniques to speed up your workflows.
FME in the Enterprise
Using FME Server and FME Cloud just got a lot easier with new functionality like projects. See how to leverage new features to keep everything running smoothly across the enterprise, with an inspiring look at how others are putting this into practice.
Deep Dive into FME Desktop 2017
See FME Desktop 2017 in action. Learn how you can take advantage of the top new features, formats, and transformers to solve more data challenges even faster.
Open Data Portals: 9 Solutions and How they Compare
Get a comparison of CKAN, Socrata, ArcGIS Open Data and other top open data solutions. Plus get answers to best practice questions such as: Which datasets are important to share? What are the approximate costs? Which file formats should the data be shared in? How often should the data get updated? And overall, how can we ensure success with our open data portal?
HR Audit & Human resource information system
This document discusses human resource management and human resource information systems. It includes:
- An introduction to human resources and human resource management.
- An explanation of what a human resource information system (HRIS) is and some of its key features like recruitment, payroll, and training.
- The processes involved in implementing an HRIS including identifying needs, organizing plans, and evaluations.
- Some common uses of an HRIS like personnel administration, salary administration, and skill inventory.
- An overview of what a human resources audit is and why organizations conduct them to identify areas for improvement in HR functions and processes.
Deep Dive into FME Server 2017.0
See FME Server 2017 and FME Cloud in action. Learn how you can take advantage of the top new features to solve more data challenges even faster.
Discover and connect your talent and passion
Presentation of Katrien De Schrijver at the third edition of The Sales Summit, February 23rd 2017, Brussels
Business Relationship Management in a Digital World
The presentation of Friedrich Pétré at the third edition of The Sales Summit, February 23rd 2017, Brussels
Building a cutting-edge data processing environment on a budget
As a penniless academic I wanted to do "big data" for science. Open source, Python, and simple patterns were the way forward. Staying on top of todays growing datasets is an arm race. Data analytics machinery —clusters, NOSQL, visualization, Hadoop, machine learning, ...— can spread a team's resources thin. Focusing on simple patterns, lightweight technologies, and a good understanding of the applications gets us most of the way for a fraction of the cost.
I will present a personal perspective on ten years of scientific data processing with Python. What are the emerging patterns in data processing? How can modern data-mining ideas be used without a big engineering team? What constraints and design trade-offs govern software projects like scikit-learn, Mayavi, or joblib? How can we make the most out of distributed hardware with simple framework-less code?
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Ultimate Real-Time — Monitor Anything, Update Anything
Ultimate Real-Time — Monitor Anything, Update Anything
Growing Pains - The Auckland Capacity for Growth Study
Growing Pains - The Auckland Capacity for Growth Study
Managing Data Synchronization Between ArcSDE and POSTGIS using FME
Managing Data Synchronization Between ArcSDE and POSTGIS using FME
How Disruptive Technology Automated Auckland Council's 'Capacity for Growth' ...
How Disruptive Technology Automated Auckland Council's 'Capacity for Growth' ...
Attribute Magic: Restructure, Validate, and Other Ways to Control Schema
Attribute Magic: Restructure, Validate, and Other Ways to Control Schema
Turbocharging FME: How to Improve the Performance of Your FME Workspaces
Turbocharging FME: How to Improve the Performance of Your FME Workspaces
Open Data Portals: 9 Solutions and How they Compare
Open Data Portals: 9 Solutions and How they Compare
Business Relationship Management in a Digital World
Business Relationship Management in a Digital World
Building a cutting-edge data processing environment on a budget
Building a cutting-edge data processing environment on a budget
Similar to Magical Methods for Batch Data Processing
1Spatial Australia: Batch Data Processing
This document discusses four different methods ("potions") for batch processing large datasets in FME: 1) Wildcards, 2) Batch Deploy, 3) Parent/Child Workspaces, and 4) Parent/Child Server Workspaces. Each method has advantages and disadvantages. Wildcards allow simple bulk processing but recovery from errors is difficult. Batch Deploy is easy to set up but has limited logging. Parent/Child Workspaces separate transformations from workflows but individual children run slowly. Parent/Child Server Workspaces leverage parallelism for speed but require data accessibility to server engines. Overall, FME Server is recommended for the most robust automation, but the best method depends on the specific needs and data.
Back to FME School - Day 2: Your Data and FME
It’s that time of year. The season is changing and FME ‘school’ is now in session! Join us for a series of 9 mini-talks to learn the latest tips for data transformation, see live demos, and get your FME questions answered. Registration gives you access for all three days — sign up now to tune in to the talks you’re most interested in.
Course schedule - Day 2
Automating Everything – Wednesday, September 27, 8:00am – 10:00am PDT
8:00am – Bulk data processing
8:40am – Ultimate Real-Time: Monitor Anything, Update Anything
9:20am – FME in the Enterprise
Data Infrastructure for a World of Music
The millions of people that use Spotify each day generate a lot of data, roughly a few terabytes per day. What does it take to handle datasets of that scale, and what can be done with it? I will briefly cover how Spotify uses data to provide a better music listening experience, and to strengthen their busineess. Most of the talk will be spent on our data processing architecture, and how we leverage state of the art data processing and storage tools, such as Hadoop, Cassandra, Kafka, Storm, Hive, and Crunch. Last, I'll present observations and thoughts on innovation in the data processing aka Big Data field.
Cassandra Day Chicago 2015: Top 5 Tips/Tricks with Apache Cassandra and DSE
The document provides 5 tips for using Cassandra and DSE: 1) Data modeling best practices to avoid secondary indexes, 2) Understanding compaction choices like size-tiered, leveled, and date-tiered and their use cases, 3) Common mistakes in proofs-of-concept like testing on different hardware and empty nodes, 4) Hardware recommendations like using moderate sized nodes with SSDs, and 5) Anti-patterns like loading large batches of data and modeling queues with improper partitioning.
MapReduce succinctly
MapReduce provides an effective framework for processing large datasets in a distributed environment. It addresses challenges of storing and processing big data by breaking jobs into independent map and reduce tasks that can run in parallel across multiple machines without requiring shared memory or state. The map tasks split input data and emit key-value pairs, which are then sorted and grouped by the framework before being passed to reduce tasks to generate final output. This allows problems to be solved in a scalable, fault-tolerant manner.
Taboola Road To Scale With Apache Spark
Taboola's data processing architecture has evolved over time from directly writing to databases to using Apache Spark for scalable real-time processing. Spark allows Taboola to process terabytes of data daily across multiple data centers for real-time recommendations, analytics, and algorithm calibration. Key aspects of Taboola's architecture include using Cassandra for event storage, Spark for distributed computing, Mesos for cluster management, and Zookeeper for coordination across a large Spark cluster.
Scaling a SaaS backend with PostgreSQL - A case study
The document discusses the challenges of scaling a PostgreSQL database for a SAAS backend with growing data. It describes how the company initially separated OLTP and OLAP data into separate databases but later unified them into a single database approach. It discusses partitioning the data using separate databases for each customer account and the benefits and limitations of this approach. It also covers additional performance issues encountered and solutions implemented including advisory locks, bulk loading optimizations, and maintaining spare databases to speed up new account creation. The document emphasizes the importance of schemas for code versioning and staging releases.
Skillshare - Introduction to Data Scraping
This document introduces data scraping by defining it as extracting structured data from unstructured sources like websites and PDFs. It then outlines some common use cases for data scraping, such as creating datasets for analysis or visualizations. The document provides best practices for scrapers and data publishers, and reviews the basic steps of planning, identifying sources, selecting tools, and verifying data. Finally, it recommends several web scraping applications and programming libraries as well as resources for storing and sharing scraped data.
Capacity planning for your data stores
Databases require capacity planning (and to those coming from traditional RDBMS solutions, this can be thought of as a sizing guide). Capacity planning prevents resource exhaustion. Capacity planning can be hard. This talk has a heavier leaning on MySQL, but the concepts and addendum will help with any other data store.
Puppet at Bazaarvoice
Dave gives an overview of his experience using Puppet at previous companies. He started using Puppet in 2008 at Bioware where it configured over 14,000 nodes across 5 datacenters. He now works at Bazaarvoice where he uses Puppet in embedded DevOps approaches. Puppet is used by application teams to manage their own operations without centralized operations. Dave also discusses how Puppet is used in different teams at Bazaarvoice, including using a master/client model focused on roles rather than hostnames.
Taboola's experience with Apache Spark (presentation @ Reversim 2014)
At taboola we are getting a constant feed of data (many billions of user events a day) and are using Apache Spark together with Cassandra for both real time data stream processing as well as offline data processing. We'd like to share our experience with these cutting edge technologies.
Apache Spark is an open source project - Hadoop-compatible computing engine that makes big data analysis drastically faster, through in-memory computing, and simpler to write, through easy APIs in Java, Scala and Python. This project was born as part of a PHD work in UC Berkley's AMPLab (part of the BDAS - pronounced "Bad Ass") and turned into an incubating Apache project with more active contributors than Hadoop. Surprisingly, Yahoo! are one of the biggest contributors to the project and already have large production clusters of Spark on YARN.
Spark can run either standalone cluster, or using either Apache mesos and ZooKeeper or YARN and can run side by side with Hadoop/Hive on the same data.
One of the biggest benefits of Spark is that the API is very simple and the same analytics code can be used for both streaming data and offline data processing.
Hadoop
Hadoop is an open-source framework for distributed storage and processing of large datasets across clusters of commodity hardware. It implements Google's MapReduce programming model and the Hadoop Distributed File System (HDFS) for reliable data storage. Key components include a JobTracker that coordinates jobs, TaskTrackers that run tasks on worker nodes, and a NameNode that manages the HDFS namespace and DataNodes that store application data. The framework provides fault tolerance, parallelization, and scalability.
Lipstick On Pig
Netflix engineer Jeff Magnusson talks about Pig Lipstick at Big Data Gurus meetup (http://www.meetup.com/BigDataGurus/)
Netflix - Pig with Lipstick by Jeff Magnusson
In this talk Manager of Data Platform Architecture Jeff Magnusson from Netflix discusses Lipstick, a tool that visualizes and monitors the progress and performance of Apache Pig scripts. This talk was recorded at Samsung R&D.
While Pig provides a great level of abstraction between MapReduce and dataflow logic, once scripts reach a sufficient level of complexity, it becomes very difficult to understand how data is being transformed and manipulated across MapReduce jobs. The recently open sourced Lipstick solves this problem. Jeff emphasizes the architecture, implementation, and future of Lipstick, as well as various use cases around using Lipstick at Netflix (e.g. examples of using Lipstick to improve speed of development and efficiency of new and existing scripts).
Jeff manages the Data Platform Architecture group at Netflix where he is helping to build a service oriented architecture that enables easy access to large scale cloud based analytical processing and analysis of data across the organization. Prior to Netflix, he received his PhD from the University of Florida focusing on database system implementation.
Headaches and Breakthroughs in Building Continuous Applications
At SpotX, we have built and maintained a portfolio of Spark Streaming applications -- all of which process records in the millions per minute. From pure data ingestion, to ETL, to real-time reporting, to live customer-facing products and features, continuous applications are in our DNA. Come along with us as we outline our journey from square one to present in the world of Spark Streaming. We'll detail what we've learned about efficient processing and monitoring, reliability and stability, and long term support of a streaming app. Come learn from our mistakes, and leave with some handy settings and designs you can implement in your own streaming apps.
Yihan Lian & Zhibin Hu - Smarter Peach: Add Eyes to Peach Fuzzer [rooted2017]
Peach is a smart and widely used fuzzer, which has lots of advantages like cross-platform, aware of file format, extend easily and so on. But when AFL fuzzer has appeared, peach seems to be out of date, since it doesn't have coverage feedback and run slowly. Due to peach is a flexible fuzzer framework and AFL is not, I extended peach with AFL advantages, making it more smarter.Just like AFL, I use LLVM Pass to add coverage feedback, with that I can see which mutation is interesting viz. explores new paths. The resultant effect is that the modified version is more effective.
Spark + AI Summit 2019: Headaches and Breakthroughs in Building Continuous Ap...
At SpotX, we have built and maintained a portfolio of Spark Streaming applications -- all of which process records in the millions per minute. From pure data ingestion, to ETL, to real-time reporting, to live customer-facing products and features, continuous applications are in our DNA. Come along with us as we outline our journey from square one to present in the world of Spark Streaming. We'll detail what we've learned about efficient processing and monitoring, reliability and stability, and long term support of a streaming app. Come learn from our mistakes, and leave with some handy settings and designs you can implement in your own streaming apps.
Presented by Landon Robinson and Jack Chapa
Dataiku hadoop summit - semi-supervised learning with hadoop for understand...
This document summarizes a presentation on using semi-supervised learning on Hadoop to understand user behaviors on large websites. It discusses clustering user sessions to identify different user segments, labeling the clusters, then using supervised learning to classify all sessions. Key metrics like satisfaction scores are then computed for each segment to identify opportunities to improve the user experience and business metrics. Smoothing is applied to metrics over time to avoid scaring people with daily fluctuations. The overall goal is to measure and drive user satisfaction across diverse users.
Intro to machine learning with scikit learn
The document discusses machine learning concepts and programming with scikit-learn. It introduces the machine learning process of getting data, pre-processing, partitioning for training and testing, creating a classifier, training and evaluating the model. As an example, it loads the Iris dataset and plots sepal length vs width with labels. It also uses PCA for dimensionality reduction to better classify the Iris data in 3 dimensions.
Bits and Pieces from the UPEI Experience
Slides from a talk at Evergreen International Conference 2009 by Grant Johnson from the University of Prince Edward Island.
Similar to Magical Methods for Batch Data Processing (20)
Cassandra Day Chicago 2015: Top 5 Tips/Tricks with Apache Cassandra and DSE
Cassandra Day Chicago 2015: Top 5 Tips/Tricks with Apache Cassandra and DSE
Scaling a SaaS backend with PostgreSQL - A case study
Scaling a SaaS backend with PostgreSQL - A case study
Taboola's experience with Apache Spark (presentation @ Reversim 2014)
Taboola's experience with Apache Spark (presentation @ Reversim 2014)
Headaches and Breakthroughs in Building Continuous Applications
Headaches and Breakthroughs in Building Continuous Applications
Yihan Lian & Zhibin Hu - Smarter Peach: Add Eyes to Peach Fuzzer [rooted2017]
Yihan Lian & Zhibin Hu - Smarter Peach: Add Eyes to Peach Fuzzer [rooted2017]
Spark + AI Summit 2019: Headaches and Breakthroughs in Building Continuous Ap...
Spark + AI Summit 2019: Headaches and Breakthroughs in Building Continuous Ap...
Dataiku hadoop summit - semi-supervised learning with hadoop for understand...
Dataiku hadoop summit - semi-supervised learning with hadoop for understand...
More from Safe Software
Driving Business Innovation: Latest Generative AI Advancements & Success Story
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!
Essentials of Automations: The Art of Triggers and Actions in FME
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Essentials of Automations: The Art of Triggers and Actions in FME
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Essentials of Automations: Optimizing FME Workflows with Parameters
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
The Zero-ETL Approach: Enhancing Data Agility and Insight
In the ever-evolving landscape of data management, Zero-ETL is an approach that is reshaping how businesses handle and integrate their data. This webinar explores Zero-ETL, a paradigm shift from the traditional Extract, Transform, Load (ETL) process, offering a more streamlined, efficient, and real-time data integration method.
We will begin with an introduction to the concept of Zero-ETL, including how it allows direct access to data in its native environment and real-time data transformation, providing up-to-date information with significantly reduced data redundancy.
Next, we'll take you through several demonstrations showing how Zero-ETL can deliver real-time data and enable the free movement of data between systems. We will also discuss the various tools that support all aspects of Zero-ETL, providing attendees with an understanding of how they can adopt this innovative approach in their organizations.
Lastly, the session will conclude with an interactive Q&A segment, allowing participants to gain deeper insights into how Zero-ETL can be tailored to their specific business needs and how they can get started today.
Join us to discover how Zero-ETL can elevate your organization's data strategy.
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Following the popularity of “Cloud Revolution: Exploring the New Wave of Serverless Spatial Data,” we’re thrilled to announce this much-anticipated encore webinar.
In this sequel, we’ll dive deeper into the Cloud-Native realm by uncovering practical applications and FME support for these new formats, including COGs, COPC, FlatGeoBuf, GeoParquet, STAC, and ZARR.
Building on the foundation laid by industry leaders Michelle Roby of Radiant Earth and Chris Holmes of Planet in the first webinar, this second part offers an in-depth look at the real-world application and behind-the-scenes dynamics of these cutting-edge formats. We will spotlight specific use-cases and workflows, showcasing their efficiency and relevance in practical scenarios.
Discover the vast possibilities each format holds, highlighted through detailed discussions and demonstrations. Our expert speakers will dissect the key aspects and provide critical takeaways for effective use, ensuring attendees leave with a thorough understanding of how to apply these formats in their own projects.
Elevate your understanding of how FME supports these cutting-edge technologies, enhancing your ability to manage, share, and analyze spatial data. Whether you’re building on knowledge from our initial session or are new to the serverless spatial data landscape, this webinar is your gateway to mastering cloud-native formats in your workflows.
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Following the popularity of "Cloud Revolution: Exploring the New Wave of Serverless Spatial Data," we're thrilled to announce this much-anticipated encore webinar.
In this sequel, we'll dive deeper into the Cloud-Native realm by uncovering practical applications and FME support for these new formats, including COGs, COPC, FlatGeoBuf, GeoParquet, STAC, and ZARR.
Building on the foundation laid by industry leaders Michelle Roby of Radiant Earth and Chris Holmes of Planet in the first webinar, this second part offers an in-depth look at the real-world application and behind-the-scenes dynamics of these cutting-edge formats. We will spotlight specific use-cases and workflows, showcasing their efficiency and relevance in practical scenarios.
Discover the vast possibilities each format holds, highlighted through detailed discussions and demonstrations. Our expert speakers will dissect the key aspects and provide critical takeaways for effective use, ensuring attendees leave with a thorough understanding of how to apply these formats in their own projects.
Elevate your understanding of how FME supports these cutting-edge technologies, enhancing your ability to manage, share, and analyze spatial data. Whether you're building on knowledge from our initial session or are new to the serverless spatial data landscape, this webinar is your gateway to mastering cloud-native formats in your workflows.
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
Imagine a world where information flows as swiftly as thought itself, making decision-making as fluid as the data driving it. Every moment is critical, and the right tools can significantly boost your organization’s performance. The power of real-time data automation through FME can turn this vision into reality.
Aimed at professionals eager to leverage real-time data for enhanced decision-making and efficiency, this webinar will cover the essentials of real-time data and its significance. We’ll explore:
FME’s role in real-time event processing, from data intake and analysis to transformation and reporting
An overview of leveraging streams vs. automations
FME’s impact across various industries highlighted by real-life case studies
Live demonstrations on setting up FME workflows for real-time data
Practical advice on getting started, best practices, and tips for effective implementation
Join us to enhance your skills in real-time data automation with FME, and take your operational capabilities to the next level.
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
Imagine a world where information flows as swiftly as thought itself, making decision-making as fluid as the data driving it. Every moment is critical, and the right tools can significantly boost your organization's performance. The power of real-time data automation through FME can turn this vision into reality.
Aimed at professionals eager to leverage real-time data for enhanced decision-making and efficiency, this webinar will cover the essentials of real-time data and its significance. We'll explore:
FME's role in real-time event processing, from data intake and analysis to transformation and reporting
An overview of leveraging streams vs. automations
FME's impact across various industries highlighted by real-life case studies
Live demonstrations on setting up FME workflows for real-time data
Practical advice on getting started, best practices, and tips for effective implementation
Join us to enhance your skills in real-time data automation with FME, and take your operational capabilities to the next level.
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Hiring and retaining software development talent is next to impossible for AEC firms and other industries alike.
Join us and guest speakers from HOK, a leader in the AEC industry, as they share their success in navigating the tight talent market through the use of no-code solutions and FME.
Discover how HOK approached the process of building a custom tool to automate the creation of projects and user management for Trimble Connect and ProjectSight.
Using a mix of traditional and no-code in FME, our guest speakers will reveal how the team bridged the resource gap and used the available talent pool, producing the mission-critical web app “Trajectory”.
They will also dive into details, illustrating first-hand how JSON data was used as a “glue” between two development groups.
Learn how embracing FME as a no-code solution can unlock potential within your teams, foster collaboration, and drive efficiency.
Powering Real-Time Decisions with Continuous Data Streams
In an era where making swift, data-driven decisions can set industry leaders apart, understanding the world of data streaming and stream processing is crucial. During this webinar, we'll explore:
Stream Processing Overview: Dive into what stream processing entails and the value it brings organizations.
Stream vs. Batch Processing: Learn the key differences and benefits of stream processing compared to traditional batch processing, highlighting the efficiency of real-time data handling.
Mastering Data Volumes: Discover strategies for effectively managing both high and low volume data streams, ensuring optimal performance.
Boosting Operational Excellence: Explore how adopting data streaming can enhance your organization's operational workflows and productivity.
Spatial Data's Role in Streams: Understand the importance of spatial data in stream processing for more informed decision-making.
Interactive Demos: Watch practical demos, from dynamic geofencing to group-based processing.
Plus, we’ll show you how you can do it without coding! Register now to take the first step towards more informed, timely, and precise decision-making for your organization.
The Critical Role of Spatial Data in Today's Data Ecosystem
In today's data-driven landscape, integrating spatial data is becoming increasingly crucial for organizations aiming to harness the full potential of their data. Spatial data offers unique insights based on location, making it a fundamental component for addressing various challenges across different sectors, including urban planning, environmental sustainability, public health, and logistics.
Our webinar delves into the indispensable role of spatial data in data management and analysis. We'll showcase how omitting spatial data from your data strategy not only weakens your data infrastructure, but also limits the depth of your insights. Through real-world case studies, we'll highlight the transformative impact of spatial data, demonstrating its ability to uncover complex patterns, trends, and relationships.
Join us for this introductory-level webinar as we explore the critical importance of spatial data integration in driving strategic decision-making processes. By the end of the webinar, you'll gain a renewed perspective on how spatial data is essential for confronting and overcoming challenges across various domains.
Cloud Revolution: Exploring the New Wave of Serverless Spatial Data
Once in a while, there really is something new under the sun. The rise of cloud-hosted data has fueled innovation in spatial data storage, enabling a brand new serverless architectural approach to spatial data sharing. Join us in our upcoming webinar to learn all about these new ways to organize your data, and leverage data shared by others. Explore the potential of Cloud Native Geospatial Formats in your workflows with FME, as we introduce five new formats: COGs, COPC, FlatGeoBuf, GeoParquet, STAC and ZARR.
Learn from industry experts Michelle Roby from Radiant Earth and Chris Holmes from Planet about these cloud-native geospatial data formats and how they can make data easier to manage, share, and analyze. To get us started, they’ll explain the goals of the Cloud-Native Geospatial Foundation and provide overviews of cloud-native technologies including the Cloud-Optimized GeoTIFF (COG), SpatioTemporal Asset Catalogs (STAC), and GeoParquet.
Following this, our seasoned FME team will guide you through practical demonstrations, showcasing how to leverage each format to its fullest potential. Learn strategic approaches for seamless integration and transition, along with valuable tips to enhance performance using these formats in FME.
Discover how these formats are reshaping geospatial data handling and how you can seamlessly integrate them into your FME workflows and harness the explosion of cloud-hosted data.
Igniting Next Level Productivity with AI-Infused Data Integration Workflows
Learn where FME meets AI in this upcoming webinar to offer you incredible time savings. This webinar is tailored to ignite imaginations and offer solutions to your data integration challenges. As the new digital era sets sail on the winds of AI, the tangibility of its integration in our daily schema is unfolding.
Segment 1, titled “AI: The Good, the Bad and the FME” by Darren Fergus of Locus, navigates through the realms of AI, scrutinizing its pervasive impact while underscoring the symbiotic potential of FME and AI. Join in an engaging demonstration as FME and ChatGPT collaboratively orchestrate a PowerPoint narrative, epitomizing the alliance of AI with human ingenuity.
In Segment 2, “Integrating GeoAI Models in FME” by Dennis Wilhelm and Dr. Christopher Britsch of con terra GmbH, the spotlight veers towards operationalizing AI in our daily tasks through FME. A practical approach to embedding GeoAI Models into FME Workspaces is unveiled, showcasing the ease of incorporating AI-driven methodologies into your FME workflows, skyrocketing productivity levels.
To follow, Segment 3, "Unleash generative AI on your terms!" by Oliver Morris of Avineon-Tensing. While the prospects of Generative AI are thrilling, security and IT reservations, especially with 'phone home' tools, are genuine concerns. However, with open-source tools, you can locally harness large language models. In this demo, we'll unravel the magic of local AI deployment and its seamless integration into an FME workspace.
Bonus! Dmitri will join us for a fourth segment to tie us off, showcasing what he has been up to this week, including using OpenAI API for texturing in FME, amoung other projects.
Join us to explore the synergy of FME and AI: opening portals to a realm of revolutionized productivity and enriched user experiences.
The Zero-ETL Approach: Enhancing Data Agility and Insight
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We will begin with an introduction to the concept of Zero-ETL, including how it allows direct access to data in its native environment and real-time data transformation, providing up-to-date information with significantly reduced data redundancy.
Next, we'll take you through several demonstrations showing how Zero-ETL can deliver real-time data and enable the free movement of data between systems. We will also discuss the various tools that support all aspects of Zero-ETL, providing attendees with an understanding of how they can adopt this innovative approach in their organizations.
Lastly, the session will conclude with an interactive Q&A segment, allowing participants to gain deeper insights into how Zero-ETL can be tailored to their specific business needs and how they can get started today.
Join us to discover how Zero-ETL can elevate your organization's data strategy.
Mastering MicroStation DGN: How to Integrate CAD and GIS
Dive deep into the world of CAD-GIS integration with our expert-led webinar. Discover how to seamlessly transfer data between Bentley MicroStation and leading GIS platforms, such as Esri ArcGIS. This session goes beyond mere CAD/GIS conversion, showcasing techniques to precisely transform MicroStation elements including cells, text, lines, and symbology. We’ll walk you through tags versus item types, and understanding how to leverage both. You’ll also learn how to reproject to any coordinate system. Finally, explore cutting-edge automated methods for managing database links, and delve into innovative strategies for enabling self-serve data collection and validation services.
Join us to overcome the common hurdles in CAD and GIS integration and enhance the efficiency of your workflows. This session is perfect for professionals, both new to FME and seasoned users, seeking to streamline their processes and leverage the full potential of their CAD and GIS systems.
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Dive deep into the world of geospatial data management and transformation in our upcoming webinar focusing on the powerful integration of FME and Esri technologies. This insightful session comprises two compelling segments aimed at enhancing your geospatial workflows, while minimizing operational hurdles.
In the first segment, guest speaker Jan Roggisch from Locus unveils how Auckland Council triumphed over the challenges of handling large, frequent data updates on ArcGIS Online using FME. Discover the journey from manual data handling to an automated, streamlined process that reduced server downtime from minutes to seconds: setting a new standard for local government organizations.
The second segment, led by James Botterill from 1Spatial, unveils the magic of incorporating ArcPy into your FME workflows. Delve into real-world scenarios where ArcGIS geoprocessing is harmoniously orchestrated within FME using the PythonCaller. Gain insights into raster-vector data conversion, spatial analysis, and a host of practical tips and tricks that empower you to leverage the combined capabilities of FME and Esri for efficient data manipulation and conversion.
Join us to explore the remarkable possibilities that open up when FME and Esri technologies converge – enhancing your ability to manage and transform geospatial data with unprecedented efficiency.
Introducing the New FME Community Webinar - Feb 21, 2024 (2).pdf
Join us at Safe Software as we unveil the exciting new FME Community platform.
Picture yourself entering a vibrant, interconnected world, where every click brings you closer to a fellow FME enthusiast, a new idea, or a solution that could revolutionize your workflow.
Since its inception, the FME Community has been a dynamic hub for knowledge sharing, where thousands of users converge to exchange insights, engage in stimulating discussions, and collaboratively solve challenges. Now, envision this community reimagined - retaining the features you know and love, but infused with new, cutting-edge functionalities designed to make your experience even more enriching and effortless. The Community is also planned to soon act as a central hub for all FME community acticity across the web.
This webinar is your personal tour through this enhanced FME Community landscape. Whether you're an experienced user familiar with every nook and cranny of the old platform, or you're setting foot in this community for the first time, our webinar will ensure you navigate the new terrain with ease and confidence. Discover how to maximize your engagement, tap into the wealth of resources available, and contribute to the growing tapestry of FME innovation.
Join us in celebrating the future of FME collaboration, where your next breakthrough idea, insightful article, or spirited discussion awaits. Don't miss this opportunity to be a part of the evolution of the FME Community!
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Whether you're new to AI or an experienced practitioner, this webinar is tailored to keep you at the forefront of AI innovation. Get ready for a session that is as informative as it is inspiring, equipping you with the tools to excel in the dynamic world of artificial intelligence.
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As a technology leader, you may grapple with legacy systems, shadow IT, and budget constraints. Data and personnel silos often impede technological progress. FME champions integrating superior business systems to bolster your organization's digital strength – efficiently and affordably, using your current team and accessible services.
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Powering Real-Time Decisions with Continuous Data Streams
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Cloud Revolution: Exploring the New Wave of Serverless Spatial Data
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Igniting Next Level Productivity with AI-Infused Data Integration Workflows
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Magical Methods for Batch Data Processing
- 1. Potent Potions for Batch Data Processing
- 2. 250,000 CAD files & rasters on mobile devices
- 4. Tip: Know Your Potions and Choose Wisely
- 5. Today’s Potions 1. Wildcards 2. Batch Deploy 3. Parent/child Workspaces 4. Parent/child Server Workspaces
- 11. Dataset Wildcards Extended glob syntax: Symbol Matches ? Any single character * Any sequence of zero or more characters [chars] Any single character in chars. [a-d] Any character between a and d inclusive {a,b,...} Any of the sub-patterns a, b /**/ 0 or more subdirectories
- 12. Time to brew Potion 1
- 14. Wildcard Bulk Data Processing Enticements ü Simple to set up ü Can transform across file boundaries - Needs memory & time
- 16. Wildcard Bulk Data Processing Pitfalls x Recovery from data errors difficult x Feature Type vs File vs Format Issues x No granular log x No ability to parallelize
- 18. Batch Deploy Script Writer
- 19. Batch Deploy Script Writer
- 20. Batch Deploy Script Writer
- 21. Batch Deploy Script Writer
- 22. Batch Deploy Script Writer
- 24. Time to brew Potion 2
- 26. Batch Deploy Enticements ü Simple to set up ü Runs quickly ü Can script via command line ü Run on demand
- 28. Batch Deploy Pitfalls x Recovery from data errors difficult x No granular log x Destination dataset naming can be tricky
- 30. Parent/Child Workspace Ingredients • Parent Workspace: – PathReader – WorkspaceRunner • Child Workspace: – FeatureWriter
- 34. Time to brew Potion 3
- 36. Parent/Child Workspace Enticements ü Separate transformation from workflow ü Generate audit logs ü All authored within Workbench
- 38. Parent/Child Workspace Pitfalls x Not all writers can be used concurrently x Slow to run each child workspace separately x Recovery from data errors not easy if concurrent runs used
- 40. Parent/Child Server Workspace Ingredients • Parent Workspace: – PathReader – FMEServerJobSubmitter – FMEServerJobWaiter • Child Workspace: – FeatureWriter
- 45. Time to brew Potion 4
- 47. Parent/Child Server Workspace Enticements ü Separate transformation from workflow ü Generate audit logs ü All authored within Workbench ü Make full use of parallelism = FAST
- 49. Parent/Child Server Workspace Pitfalls x Not all writers can be used concurrently x Data needs to be accessible to Server Engines - Consider using Server Data Resources x Craft your reload/ audit plan
- 50. Summary ● Many ways to handle bulk data moves ● Choose your potion wisely - each has pluses and minuses ● FME Server is the most robust automation choice