MongoDB World 2019: Finding the Right MongoDB Atlas Cluster Size: Does This Instance Make My App Look Fast?

With an innovative architecture that decouples compute from storage as well as advanced features like Global Database and low-latency read replicas, Amazon Aurora reimagines what it means to be a relational database. The result is a modern database service that offers performance and high availability at scale, fully open-source MySQL- and PostgreSQL-compatible editions, and a range of developer tools for building serverless and machine learning-driven applications. In this session, dive deep into some of the most exciting features Aurora offers, including Aurora Serverless v2 and Global Database. Also learn about recent innovations that enhance performance, scalability, and security while reducing operational challenges.

This document provides an introduction to Amazon Aurora, AWS's managed relational database service. It discusses how Aurora was built to provide the speed and availability of commercial databases at the simplicity and cost-effectiveness of open source databases. The document outlines key Aurora features like automatic scaling, continuous backups, replication across Availability Zones, and integration with other AWS services. Customer case studies show how Aurora provides better performance at lower costs than alternative database options. The document also covers migration options and how Aurora offers a simpler, more cost-effective database solution than on-premises or self-managed options.

(1) Amazon Redshift is a fully managed data warehousing service in the cloud that makes it simple and cost-effective to analyze large amounts of data across petabytes of structured and semi-structured data. (2) It provides fast query performance by using massively parallel processing and columnar storage techniques. (3) Customers like NTT Docomo, Nasdaq, and Amazon have been able to analyze petabytes of data faster and at a lower cost using Amazon Redshift compared to their previous on-premises solutions.

This session will begin with an introduction to non-relational (NoSQL) databases and compare them with relational (SQL) databases. Learn the fundamentals of Amazon DynamoDB, a fully managed NoSQL database service, and see the DynamoDB console first-hand. See a walk-through demo of building a serverless web application using this high-performance key-value and JSON document store.

To manage the ever-increasing volume and velocity of data within your company, you have successfully made the transition from single machines and one-off solutions to large distributed stream infrastructures in your data center, powered by Apache Kafka. But what if one data center is not enough? I will describe building resilient data pipelines with Apache Kafka that span multiple data centers and points of presence, and provide an overview of best practices and common patterns while covering key areas such as architecture guidelines, data replication, and mirroring as well as disaster scenarios and failure handling.

Presented on December ClickHouse Meetup. Dec 3, 2019 Concrete findings and "best practices" from building a cluster sized for 150 analytic queries per second on 100TB of http logs. Topics covered: hardware, clients (http vs native), partitioning, indexing, SELECT vs INSERT performance, replication, sharding, quotas, and benchmarking.

This session provides the attendee with an overview of Amazon RDS across different database types and then dives deep into the benefits and performance of Amazon Aurora.

The document discusses Redis and its capabilities for high performance, reliability, and new use cases. Redis can provide linear scalability and handle over 200 million operations per second through its shared-nothing architecture, multi-threaded proxy, and NUMA optimizations. It offers strong reliability with features like pure in-memory replication and multi-availability zone deployment. Redis also enables new use cases through capabilities like active-active replication using CRDTs, time series storage and querying with RedisTimeSeries, and serving AI models close to data with RedisAI.

This presentation is intended as a field guide for users of Apache Cassandra. This guide specifically covers an explanation of diagnostics tools and monitoring tools and methods used in conjunction with Apache Cassandra. It is written in a pragmatic order with the most important tools first. Presented by Alex Thompson at the Sydney Cassandra Meetup

Performance Tuning And Optimization Microsoft SQL Database Performance issues, administrative optimization, logical optimization, architecture, coding, design, index, execution plan, monitoring and maintenance plan

To maximize the benefits of ScyllaDB, you must adapt the structure of your data. Data modeling for ScyllaDB should be query-driven based on your access patterns – a very different approach than normalization for SQL tables. In this session, you will learn how tools can help you migrate your existing SQL structures to accelerate your digital transformation and application modernization. To watch all of the recordings hosted during Scylla Summit 2022 visit our website here: https://www.scylladb.com/summit.

Several free tools are available to help with SQL tuning and performance diagnostics, including SQLd360, SQLT, and eDB360. SQLd360 and SQLT are good for diagnosing a single SQL statement, while eDB360 provides a 360-degree view of an entire Oracle database. Snapper and TUNAs360 can diagnose sessions and database activity. Standalone scripts like planx and sqlmon provide specialized diagnostics for individual cases. These free tools vary in size and capabilities, but all aim to help tune and diagnose SQL and database performance issues.

Slides for the Webinar, presented on March 6, 2019 For the webinar video visit https://www.altinity.com/ Extracting business insight from massive pools of machine-generated data is the central analytic problem of the digital era. ClickHouse data warehouse addresses it with sub-second SQL query response on petabyte-scale data sets. In this talk we'll discuss the features that make ClickHouse increasingly popular, show you how to install it, and teach you enough about how ClickHouse works so you can try it out on real problems of your own. We'll have cool demos (of course) and gladly answer your questions at the end. Speaker Bio: Robert Hodges is CEO of Altinity, which offers enterprise support for ClickHouse. He has over three decades of experience in data management spanning 20 different DBMS types. ClickHouse is his current favorite. ;)

This document discusses PostgreSQL statistics and how to use them effectively. It provides an overview of various PostgreSQL statistics sources like views, functions and third-party tools. It then demonstrates how to analyze specific statistics like those for databases, tables, indexes, replication and query activity to identify anomalies, optimize performance and troubleshoot issues.

This is a recording of my Advanced Oracle Troubleshooting seminar preparation session - where I showed how I set up my command line environment and some of the main performance scripts I use!

This document summarizes a presentation about Amazon Aurora. It discusses how Aurora provides the speed and availability of commercial databases at a lower cost than open source databases. Aurora is a MySQL and PostgreSQL compatible database that is managed as a service, automating administrative tasks. It utilizes a distributed, self-healing storage system to provide high availability and durability across availability zones.

ATC is a system built using Samza to manage communications with LinkedIn members. It aims to improve the member experience by applying common functionality across different communication types and use cases. It handles thousands of communications per second while maintaining a good understanding of members' states in near-real-time. ATC focuses on sending the right message to the right member through the right channel at the right time using techniques like filtering, aggregation, channel selection and delivery optimization. It was built to be highly scalable using streaming technologies like Kafka, RocksDB and host affinity to replicate state across datacenters for redundancy. Personalization is achieved through relevance scores computed offline and stored in RocksDB.

Deploying any software can be a challenge if you don't understand how resources are used or how to plan for the capacity of your systems. Whether you need to deploy or grow a single MongoDB instance, replica set, or tens of sharded clusters then you probably share the same challenges in trying to size that deployment. This webinar will cover what resources MongoDB uses, and how to plan for their use in your deployment. Topics covered will include understanding how to model and plan capacity needs for new and growing deployments. The goal of this webinar will be to provide you with the tools needed to be successful in managing your MongoDB capacity planning tasks.

Learn tuning best practices for taking advantage of Amazon Redshift's columnar technology and parallel processing capabilities to improve your delivery of queries and improve overall database performance. This session explains how to migrate from existing data warehouses, create an optimized schema, efficiently load data, use work load management, tune your queries, and use Amazon Redshift's interleaved sorting features. Finally, learn how to use these best practices to give their entire organization access to analytic insights at scale. Presented by: Alex Sinner, Solutions Architecture PMO, Amazon Web Services Customer Guest: Luuk Linssen, Product Manager, Bannerconnect

The document provides performance timing results and recommendations for optimizing Azure Data Factory data flows. Sample 1 processed a 421MB file with 887k rows in 4 minutes using default partitioning on an 80-core Azure IR. Sample 2 processed a table with the same size and transforms in 3 minutes using source and derived column partitioning. Sample 3 processed the same size file in 2 minutes with default partitioning. The document recommends partitioning strategies, using memory optimized clusters, and scaling cores to improve performance.

How do you determine whether your MongoDB Atlas cluster is over provisioned, whether the new feature in your next application release will crush your cluster, or when to increase cluster size based upon planned usage growth?  MongoDB Atlas provides over a hundred metrics enabling visibility into the inner workings of MongoDB performance, but how do apply all this information to make capacity planning decisions? This presentation will enable you to effectively analyze your MongoDB performance to optimize your MongoDB Atlas spend and ensure smooth application operation into the future.

This document discusses hardware provisioning best practices for MongoDB. It covers key concepts like bottlenecks, working sets, and replication vs sharding. It also presents two case studies where these concepts were applied: 1) For a Spanish bank storing logs, the working set was 4TB so they provisioned servers with at least that much RAM. 2) For an online retailer storing products, testing found the working set was 270GB, so they recommended a replica set with 384GB RAM per server to avoid complexity of sharding. The key lessons are to understand requirements, test with a proof of concept, measure resource usage, and expect that applications may become bottlenecks over time.

SQL Server is really the brain of SharePoint. The default settings of SQL server are not optimised for SharePoint. In this session, Serge Luca (SharePoint MVP) and Isabelle Van Campenhoudt (SQL Server MVP) will give you an overview of what every SQL Server DBA needs to know regarding configuring, monitoring and setting up SQL Server for SharePoint 2013. After a quick description of the SharePoint architecture (site, site collections,…), we will describe the different types of SharePoint databases and their specific configuration settings. Some do’s and don’ts specific to SharePoint and also the disaster recovery options for SharePoint, including (but not only) SQL Server Always On Availability, groups for High availability and disaster recovery in order to achieve an optimal level of business continuity. Benefits of Attending this Session: Tips & tricks Lessons learned from the field Super return on Investment

This document summarizes a presentation on optimizing SQL Server for SharePoint. It discusses basic SharePoint database concepts, planning for long-term performance by optimizing resources like CPU, RAM, disks and network latency. It also covers optimal SQL Server configuration including installation, database settings like recovery models and file placement. Maintaining databases through tools like DBCC CheckDB and measuring performance using counters and diagnostic queries is also presented. The presentation emphasizes the importance of collaboration between SharePoint and database administrators to ensure compliance and optimize performance.

MongoDB presentation from Silicon Valley Code Camp 2015. Walkthrough developing, deploying and operating a MongoDB application, avoiding the most common pitfalls.

This document discusses how to optimize performance in SQL Server. It covers: 1) Why performance tuning is necessary to allow systems to scale, improve performance, and save costs. 2) How to optimize SQL Server performance by addressing CPU, memory, I/O, and other factors like compression and partitioning. 3) How to optimize the database for performance through techniques like schema design, indexing, locking, and query optimization.

This document discusses tuning a system for optimal performance. It covers determining performance criteria, analyzing problems, testing solutions, and signs of a well-tuned system. Key aspects of tuning include analyzing system usage, determining causes of problems, setting goals to improve throughput or response times, and testing changes. Memory, processors, I/O, and network usage should be optimized to avoid bottlenecks.

This document provides an overview of performance tuning the MySQL server. It discusses where to find server configuration and status information, how to analyze what the database is doing using status variables, and which configuration variables can be tuned for optimization, including global, per-session, and storage engine variables. Key areas covered include memory usage, query analysis, indexing strategies, and tuning storage engines like InnoDB and MyISAM.

In this session, you will learn the key differences between a relational database management service (RDBMS) and non-relational (NoSQL) databases like Amazon DynamoDB. You will learn about suitable and unsuitable use cases for NoSQL databases. You'll learn strategies for migrating from an RDBMS to DynamoDB through a 5-phase, iterative approach. See how Sony migrated an on-premises MySQL database to the cloud with Amazon DynamoDB, and see the results of this migration.

En esta sesión voy a contar las decisiones técnicas que tomamos al desarrollar QuestDB, una base de datos Open Source para series temporales compatible con Postgres, y cómo conseguimos escribir más de cuatro millones de filas por segundo sin bloquear o enlentecer las consultas. Hablaré de cosas como (zero) Garbage Collection, vectorización de instrucciones usando SIMD, reescribir en lugar de reutilizar para arañar microsegundos, aprovecharse de los avances en procesadores, discos duros y sistemas operativos, como por ejemplo el soporte de io_uring, o del balance entre experiencia de usuario y rendimiento cuando se plantean nuevas funcionalidades.

Sizing an alfresco infrastructure has always been an interesting topic with lots of unrevealed questions. There is no perfect formula that can accurately define what is the perfect sizing for your architecture considering your use case. However, we can provide you with valuable guidance on how to size your Alfresco solution, by asking the right questions, collecting the right numbers, and taking the right assumptions on a very interesting sizing exercise. How many alfresco servers will you need on your alfresco cluster? How many CPUs/cores do you need on those servers to handle your estimated user concurrency? How do you estimate the sizing and growth of your storage? How much memory do you need on your Solr servers? How many Solr servers do you need to get the response times you require? What are the golden rules that can drive and maintain the success of an Alfresco project?

Accompanying slides for the "Scaling apps for the big time" presentation delivered at MelbDjango 1.4, hosted by Common Code

This document discusses optimizing performance for data flows in Azure Data Factory. It provides sample timing results for various scenarios and recommends settings to improve performance. Some best practices include using memory optimized Azure integration runtimes, maintaining current partitioning, scaling virtual cores, and optimizing transformations and sources/sinks. The document also covers monitoring flows to identify bottlenecks and global settings that affect performance.

Nesta segunda parte do tema Redshift, mostramos o case da Movile, líder em mobile commerce com 50 milhões de usuários, e analisamos tópicos avançados como compressão, macros SQL embutidas e índices multidimensionais para grandes bases de dados.

This document summarizes Terry Bunio's presentation on breaking and fixing broken data. It begins by thanking sponsors and providing information about Terry Bunio and upcoming SQL events. It then discusses the three types of broken data: inconsistent, incoherent, and ineffectual data. For each type, it provides an example and suggestions on how to identify and fix the issues. It demonstrates how to use tools like Oracle Data Modeler, execution plans, SQL Profiler, and OStress to diagnose problems to make data more consistent, coherent and effective.

This document provides best practices for optimizing Blackboard Learn performance. It recommends deploying for performance from the start, optimizing platform components continuously through measurements, using scalable deployments like 64-bit architectures and virtualization, improving page responsiveness through techniques like gzip compression and image optimization, optimizing the web server, Java Virtual Machine, and database through configuration and tools. It emphasizes the importance of understanding resource utilization, wait events, execution plans, and statistics/histograms for database optimization.

These are the slides used in the Redshift training by intermix.io. This class introduces you to strategies and best practices for designing a data platform using Amazon Redshift. For a link to the video, please contact nikola@intermix.io.

This presentation discusses migrating data from other data stores to MongoDB Atlas. It begins by explaining why MongoDB and Atlas are good choices for data management. Several preparation steps are covered, including sizing the target Atlas cluster, increasing the source oplog, and testing connectivity. Live migration, mongomirror, and dump/restore options are presented for migrating between replicasets or sharded clusters. Post-migration steps like monitoring and backups are also discussed. Finally, migrating from other data stores like AWS DocumentDB, Azure CosmosDB, DynamoDB, and relational databases are briefly covered.

These days, everyone is expected to be a data analyst. But with so much data available, how can you make sense of it and be sure you're making the best decisions? One great approach is to use data visualizations. In this session, we take a complex dataset and show how the breadth of capabilities in MongoDB Charts can help you turn bits and bytes into insights.

MongoDB Kubernetes operator and MongoDB Open Service Broker are ready for production operations. Learn about how MongoDB can be used with the most popular container orchestration platform, Kubernetes, and bring self-service, persistent storage to your containerized applications. A demo will show you how easy it is to enable MongoDB clusters as an External Service using the Open Service Broker API for MongoDB

Are you new to schema design for MongoDB, or are you looking for a more complete or agile process than what you are following currently? In this talk, we will guide you through the phases of a flexible methodology that you can apply to projects ranging from small to large with very demanding requirements.

Humana, like many companies, is tackling the challenge of creating real-time insights from data that is diverse and rapidly changing. This is our journey of how we used MongoDB to combined traditional batch approaches with streaming technologies to provide continues alerting capabilities from real-time data streams.

Time series data is increasingly at the heart of modern applications - think IoT, stock trading, clickstreams, social media, and more. With the move from batch to real time systems, the efficient capture and analysis of time series data can enable organizations to better detect and respond to events ahead of their competitors or to improve operational efficiency to reduce cost and risk. Working with time series data is often different from regular application data, and there are best practices you should observe. This talk covers: Common components of an IoT solution The challenges involved with managing time-series data in IoT applications Different schema designs, and how these affect memory and disk utilization – two critical factors in application performance. How to query, analyze and present IoT time-series data using MongoDB Compass and MongoDB Charts At the end of the session, you will have a better understanding of key best practices in managing IoT time-series data with MongoDB.

Join this talk and test session with a MongoDB Developer Advocate where you'll go over the setup, configuration, and deployment of an Atlas environment. Create a service that you can take back in a production-ready state and prepare to unleash your inner genius.

Our clients have unique use cases and data patterns that mandate the choice of a particular strategy. To implement these strategies, it is mandatory that we unlearn a lot of relational concepts while designing and rapidly developing efficient applications on NoSQL. In this session, we will talk about some of our client use cases, the strategies we have adopted, and the features of MongoDB that assisted in implementing these strategies.

Encryption is not a new concept to MongoDB. Encryption may occur in-transit (with TLS) and at-rest (with the encrypted storage engine). But MongoDB 4.2 introduces support for Client Side Encryption, ensuring the most sensitive data is encrypted before ever leaving the client application. Even full access to your MongoDB servers is not enough to decrypt this data. And better yet, Client Side Encryption can be enabled at the "flick of a switch". This session covers using Client Side Encryption in your applications. This includes the necessary setup, how to encrypt data without sacrificing queryability, and what trade-offs to expect.

MongoDB Kubernetes operator is ready for prime-time. Learn about how MongoDB can be used with most popular orchestration platform, Kubernetes, and bring self-service, persistent storage to your containerized applications.

These days, everyone is expected to be a data analyst. But with so much data available, how can you make sense of it and be sure you're making the best decisions? One great approach is to use data visualizations. In this session, we take a complex dataset and show how the breadth of capabilities in MongoDB Charts can help you turn bits and bytes into insights.

When you need to model data, is your first instinct to start breaking it down into rows and columns? Mine used to be too. When you want to develop apps in a modern, agile way, NoSQL databases can be the best option. Come to this talk to learn how to take advantage of all that NoSQL databases have to offer and discover the benefits of changing your mindset from the legacy, tabular way of modeling data. We’ll compare and contrast the terms and concepts in SQL databases and MongoDB, explain the benefits of using MongoDB compared to SQL databases, and walk through data modeling basics so you feel confident as you begin using MongoDB.

Join this talk and test session with a MongoDB Developer Advocate where you'll go over the setup, configuration, and deployment of an Atlas environment. Create a service that you can take back in a production-ready state and prepare to unleash your inner genius.

The document discusses guidelines for ordering fields in compound indexes to optimize query performance. It recommends the E-S-R approach: placing equality fields first, followed by sort fields, and range fields last. This allows indexes to leverage equality matches, provide non-blocking sorts, and minimize scanning. Examples show how indexes ordered by these guidelines can support queries more efficiently by narrowing the search bounds.

Aggregation pipeline has been able to power your analysis of data since version 2.2. In 4.2 we added more power and now you can use it for more powerful queries, updates, and outputting your data to existing collections. Come hear how you can do everything with the pipeline, including single-view, ETL, data roll-ups and materialized views.

The document describes a methodology for data modeling with MongoDB. It begins by recognizing the differences between document and tabular databases, then outlines a three step methodology: 1) describe the workload by listing queries, 2) identify and model relationships between entities, and 3) apply relevant patterns when modeling for MongoDB. The document uses examples around modeling a coffee shop franchise to illustrate modeling approaches and techniques.

MongoDB Atlas Data Lake is a new service offered by MongoDB Atlas. Many organizations store long term, archival data in cost-effective storage like S3, GCP, and Azure Blobs. However, many of them do not have robust systems or tools to effectively utilize large amounts of data to inform decision making. MongoDB Atlas Data Lake is a service allowing organizations to analyze their long-term data to discover a wealth of information about their business. This session will take a deep dive into the features that are currently available in MongoDB Atlas Data Lake and how they are implemented. In addition, we'll discuss future plans and opportunities and offer ample Q&A time with the engineers on the project.

Virtual assistants are becoming the new norm when it comes to daily life, with Amazon’s Alexa being the leader in the space. As a developer, not only do you need to make web and mobile compliant applications, but you need to be able to support virtual assistants like Alexa. However, the process isn’t quite the same between the platforms. How do you handle requests? Where do you store your data and work with it to create meaningful responses with little delay? How much of your code needs to change between platforms? In this session we’ll see how to design and develop applications known as Skills for Amazon Alexa powered devices using the Go programming language and MongoDB.

aux Core Data, appréciée par des centaines de milliers de développeurs. Apprenez ce qui rend Realm spécial et comment il peut être utilisé pour créer de meilleures applications plus rapidement.

Il n’a jamais été aussi facile de commander en ligne et de se faire livrer en moins de 48h très souvent gratuitement. Cette simplicité d’usage cache un marché complexe de plus de 8000 milliards de $. La data est bien connu du monde de la Supply Chain (itinéraires, informations sur les marchandises, douanes,…), mais la valeur de ces données opérationnelles reste peu exploitée. En alliant expertise métier et Data Science, Upply redéfinit les fondamentaux de la Supply Chain en proposant à chacun des acteurs de surmonter la volatilité et l’inefficacité du marché.

Revolutionize your transportation processes with our cutting-edge RPA software. Automate repetitive tasks, reduce costs, and enhance efficiency in the logistics sector with our advanced solutions.

Recent advancements in the NIST-JARVIS infrastructure: JARVIS-Overview, JARVIS-DFT, AtomGPT, ALIGNN, JARVIS-Leaderboard

How do we build an IoT product, and make it profitable? Talk from the IoT meetup in March 2024. https://www.meetup.com/iot-sweden/events/299487375/

Six months into 2024, and it is clear the privacy ecosystem takes no days off!! Regulators continue to implement and enforce new regulations, businesses strive to meet requirements, and technology advances like AI have privacy professionals scratching their heads about managing risk. What can we learn about the first six months of data privacy trends and events in 2024? How should this inform your privacy program management for the rest of the year? Join TrustArc, Goodwin, and Snyk privacy experts as they discuss the changes we’ve seen in the first half of 2024 and gain insight into the concrete, actionable steps you can take to up-level your privacy program in the second half of the year. This webinar will review: - Key changes to privacy regulations in 2024 - Key themes in privacy and data governance in 2024 - How to maximize your privacy program in the second half of 2024

Quantum Communications Q&A with Gemini LLM. These are based on Shannon's Noisy channel Theorem and offers how the classical theory applies to the quantum world.

YOUR RELIABLE WEB DESIGN & DEVELOPMENT TEAM — FOR LASTING SUCCESS WPRiders is a web development company specialized in WordPress and WooCommerce websites and plugins for customers around the world. The company is headquartered in Bucharest, Romania, but our team members are located all over the world. Our customers are primarily from the US and Western Europe, but we have clients from Australia, Canada and other areas as well. Some facts about WPRiders and why we are one of the best firms around: More than 700 five-star reviews! You can check them here. 1500 WordPress projects delivered. We respond 80% faster than other firms! Data provided by Freshdesk. We’ve been in business since 2015. We are located in 7 countries and have 22 team members. With so many projects delivered, our team knows what works and what doesn’t when it comes to WordPress and WooCommerce. Our team members are: - highly experienced developers (employees & contractors with 5 -10+ years of experience), - great designers with an eye for UX/UI with 10+ years of experience - project managers with development background who speak both tech and non-tech - QA specialists - Conversion Rate Optimisation - CRO experts They are all working together to provide you with the best possible service. We are passionate about WordPress, and we love creating custom solutions that help our clients achieve their goals. At WPRiders, we are committed to building long-term relationships with our clients. We believe in accountability, in doing the right thing, as well as in transparency and open communication. You can read more about WPRiders on the About us page.

Stream processing is a crucial component of modern data infrastructure, but constructing an efficient and scalable stream processing system can be challenging. Decoupling compute and storage architecture has emerged as an effective solution to these challenges, but it can introduce high latency issues, especially when dealing with complex continuous queries that necessitate managing extra-large internal states. In this talk, we focus on addressing the high latency issues associated with S3 storage in stream processing systems that employ a decoupled compute and storage architecture. We delve into the root causes of latency in this context and explore various techniques to minimize the impact of S3 latency on stream processing performance. Our proposed approach is to implement a tiered storage mechanism that leverages a blend of high-performance and low-cost storage tiers to reduce data movement between the compute and storage layers while maintaining efficient processing. Throughout the talk, we will present experimental results that demonstrate the effectiveness of our approach in mitigating the impact of S3 latency on stream processing. By the end of the talk, attendees will have gained insights into how to optimize their stream processing systems for reduced latency and improved cost-efficiency.

accommodate the strengths, weaknesses, threats and opportunities of autonomous vehicles

Cybersecurity is a major concern in today's connected digital world. Threats to organizations are constantly evolving and have the potential to compromise sensitive information, disrupt operations, and lead to significant financial losses. Traditional cybersecurity techniques often fall short against modern attackers. Therefore, advanced techniques for cyber security analysis and anomaly detection are essential for protecting digital assets. This blog explores these cutting-edge methods, providing a comprehensive overview of their application and importance.

Not so much to say

Widya Salim and Victor Ma will outline the causal impact analysis, framework, and key learnings used to quantify the impact of reducing Twitter's network latency.

Everything that I found interesting last month about the irresponsible use of machine intelligence

Is your patent a vanity piece of paper for your office wall? Or is it a reliable, defendable, assertable, property right? The difference is often quality. Is your patent simply a transactional cost and a large pile of legal bills for your startup? Or is it a leverageable asset worthy of attracting precious investment dollars, worth its cost in multiples of valuation? The difference is often quality. Is your patent application only good enough to get through the examination process? Or has it been crafted to stand the tests of time and varied audiences if you later need to assert that document against an infringer, find yourself litigating with it in an Article 3 Court at the hands of a judge and jury, God forbid, end up having to defend its validity at the PTAB, or even needing to use it to block pirated imports at the International Trade Commission? The difference is often quality. Quality will be our focus for a good chunk of the remainder of this season. What goes into a quality patent, and where possible, how do you get it without breaking the bank? ** Episode Overview ** In this first episode of our quality series, Kristen Hansen and the panel discuss: ⦿ What do we mean when we say patent quality? ⦿ Why is patent quality important? ⦿ How to balance quality and budget ⦿ The importance of searching, continuations, and draftsperson domain expertise ⦿ Very practical tips, tricks, examples, and Kristen’s Musts for drafting quality applications https://www.aurorapatents.com/patently-strategic-podcast.html

If you’ve ever had to analyze a map or GPS data, chances are you’ve encountered and even worked with coordinate systems. As historical data continually updates through GPS, understanding coordinate systems is increasingly crucial. However, not everyone knows why they exist or how to effectively use them for data-driven insights. During this webinar, you’ll learn exactly what coordinate systems are and how you can use FME to maintain and transform your data’s coordinate systems in an easy-to-digest way, accurately representing the geographical space that it exists within. During this webinar, you will have the chance to: - Enhance Your Understanding: Gain a clear overview of what coordinate systems are and their value - Learn Practical Applications: Why we need datams and projections, plus units between coordinate systems - Maximize with FME: Understand how FME handles coordinate systems, including a brief summary of the 3 main reprojectors - Custom Coordinate Systems: Learn how to work with FME and coordinate systems beyond what is natively supported - Look Ahead: Gain insights into where FME is headed with coordinate systems in the future Don’t miss the opportunity to improve the value you receive from your coordinate system data, ultimately allowing you to streamline your data analysis and maximize your time. See you there!

Manual Method of Product Research | Helium10 | MBS RETRIEVER

Sustainability requires ingenuity and stewardship. Did you know Pigging Solutions pigging systems help you achieve your sustainable manufacturing goals AND provide rapid return on investment. How? Our systems recover over 99% of product in transfer piping. Recovering trapped product from transfer lines that would otherwise become flush-waste, means you can increase batch yields and eliminate flush waste. From raw materials to finished product, if you can pump it, we can pig it.

In the modern digital era, social media platforms have become integral to our daily lives. These platforms, including Facebook, Instagram, WhatsApp, and Snapchat, offer countless ways to connect, share, and communicate.

To help you choose the best DiskWarrior alternative, we've compiled a comparison table summarizing the features, pros, cons, and pricing of six alternatives.

Today’s digitally connected world presents a wide range of security challenges for enterprises. Insider security threats are particularly noteworthy because they have the potential to cause significant harm. Unlike external threats, insider risks originate from within the company, making them more subtle and challenging to identify. This blog aims to provide a comprehensive understanding of insider security threats, including their types, examples, effects, and mitigation techniques.

This presentation explores the practical application of image description techniques. Familiar guidelines will be demonstrated in practice, and descriptions will be developed “live”! If you have learned a lot about the theory of image description techniques but want to feel more confident putting them into practice, this is the presentation for you. There will be useful, actionable information for everyone, whether you are working with authors, colleagues, alone, or leveraging AI as a collaborator. Link to presentation recording and transcript: https://bnctechforum.ca/sessions/details-of-description-part-ii-describing-images-in-practice/ Presented by BookNet Canada on June 25, 2024, with support from the Department of Canadian Heritage.