Centralized data warehouse and multidimensional analysisDiaspark
Diaspark created a centralized data warehouse to facilitate more detailed and multi-dimensional analysis of renewable energy asset data. The warehouse integrated data from various sources, including 1800+ projects and 4000+ pieces of equipment producing 1 GB of data per month. This allowed the creation of real-time reports on portfolios, online monitoring, alerts, and performance analytics. The data warehouse enhanced analysis by introducing data warehousing and mining tools and multi-dimensional dashboards at minute intervals.
DSD-INT 2018 Impact of flooding on critical infrastructures - MulderDeltares
Presentation by Maudy Mulder, SIM-CI, The Netherlands, at the Delft3D - User Days (Day 1: Hydrology and hydrodynamics), during Delft Software Days - Edition 2018. Monday, 12 November 2018, Delft.
Notes of a datacentre services providerSteve GLANGE
The document discusses datacenters in Luxembourg and outlines key topics such as getting leaner through virtualization and storage area networks (SAN), dealing with increasing data overload, and the outlook for virtualization, SAN, and flexible pricing models. It also provides information on Datacenter Luxembourg which offers datacenter infrastructure, operational services, and connectivity across distinct geographical facilities connected by a looped backbone.
DSD-INT 2018 Verification analytics system and Delft3D FEWS integration - Mil...Deltares
Presentation by Gabriel Miller and Nathan Barber (Tennessee Valley Authority) at the Delft-FEWS International User Days 2018, during the Delft Software Days - Edition 2018. 7 & 8 November 2018, Delft.
Flink Forward Berlin 2018: Stephan Ewen - Keynote: "Unlocking the next wave o...Flink Forward
This document discusses a new technology called Streaming Ledger that provides ACID transaction guarantees for streaming data. Streaming Ledger allows applications to read and modify multiple data rows/keys within a transaction, sharing state between streams. It uses logical clocks to define a conflict-free processing schedule and handles key contention well. Streaming Ledger is built on Apache Flink and provides a new capability beyond Flink's existing exactly-once processing of single keys.
TrackX AssetTrack is a turnkey asset tracking and management solution that includes software and tracking technologies like RFID, GPS, and Bluetooth to provide real-time visibility and control of high-value and mission-critical assets. The solution was designed to track assets in industries like IT, manufacturing, food and beverage, oil and gas, and healthcare. TrackX's mobile solution, MxTrack, allows users to track assets anytime, anywhere by connecting to wireless networks or running in batch mode, and provides inventory management, search functions, and record updates. AssetTrack is highly flexible and configurable to track different assets, projects, and industries using various hardware and hosting options.
This document discusses the need for innovative and essential groundwater data to effectively manage groundwater resources and plan for the desired future condition. It outlines some of the challenges with traditional water level measurement devices and introduces Wellntel as a solution that harnesses cloud computing and remote monitoring technologies. Wellntel allows for continuous, remote calibration and monitoring of water levels with high accuracy. It provides real-time data sharing and engagement of well owners and managers in analyzing water resource trends. A case study demonstrates how Wellntel can facilitate collaboration across municipalities through an integrated monitoring network.
Centralized data warehouse and multidimensional analysisDiaspark
Diaspark created a centralized data warehouse to facilitate more detailed and multi-dimensional analysis of renewable energy asset data. The warehouse integrated data from various sources, including 1800+ projects and 4000+ pieces of equipment producing 1 GB of data per month. This allowed the creation of real-time reports on portfolios, online monitoring, alerts, and performance analytics. The data warehouse enhanced analysis by introducing data warehousing and mining tools and multi-dimensional dashboards at minute intervals.
DSD-INT 2018 Impact of flooding on critical infrastructures - MulderDeltares
Presentation by Maudy Mulder, SIM-CI, The Netherlands, at the Delft3D - User Days (Day 1: Hydrology and hydrodynamics), during Delft Software Days - Edition 2018. Monday, 12 November 2018, Delft.
Notes of a datacentre services providerSteve GLANGE
The document discusses datacenters in Luxembourg and outlines key topics such as getting leaner through virtualization and storage area networks (SAN), dealing with increasing data overload, and the outlook for virtualization, SAN, and flexible pricing models. It also provides information on Datacenter Luxembourg which offers datacenter infrastructure, operational services, and connectivity across distinct geographical facilities connected by a looped backbone.
DSD-INT 2018 Verification analytics system and Delft3D FEWS integration - Mil...Deltares
Presentation by Gabriel Miller and Nathan Barber (Tennessee Valley Authority) at the Delft-FEWS International User Days 2018, during the Delft Software Days - Edition 2018. 7 & 8 November 2018, Delft.
Flink Forward Berlin 2018: Stephan Ewen - Keynote: "Unlocking the next wave o...Flink Forward
This document discusses a new technology called Streaming Ledger that provides ACID transaction guarantees for streaming data. Streaming Ledger allows applications to read and modify multiple data rows/keys within a transaction, sharing state between streams. It uses logical clocks to define a conflict-free processing schedule and handles key contention well. Streaming Ledger is built on Apache Flink and provides a new capability beyond Flink's existing exactly-once processing of single keys.
TrackX AssetTrack is a turnkey asset tracking and management solution that includes software and tracking technologies like RFID, GPS, and Bluetooth to provide real-time visibility and control of high-value and mission-critical assets. The solution was designed to track assets in industries like IT, manufacturing, food and beverage, oil and gas, and healthcare. TrackX's mobile solution, MxTrack, allows users to track assets anytime, anywhere by connecting to wireless networks or running in batch mode, and provides inventory management, search functions, and record updates. AssetTrack is highly flexible and configurable to track different assets, projects, and industries using various hardware and hosting options.
This document discusses the need for innovative and essential groundwater data to effectively manage groundwater resources and plan for the desired future condition. It outlines some of the challenges with traditional water level measurement devices and introduces Wellntel as a solution that harnesses cloud computing and remote monitoring technologies. Wellntel allows for continuous, remote calibration and monitoring of water levels with high accuracy. It provides real-time data sharing and engagement of well owners and managers in analyzing water resource trends. A case study demonstrates how Wellntel can facilitate collaboration across municipalities through an integrated monitoring network.
"Interactive Deep Analytics" DashboardYaniv Shalev
There are many BI systems. What's different and challenging about dashboard in particular is the combination of simplicity and actionability which makes building and optimization of an interactive dashboard a damn hard problem.
Theses slides cover real life techniques of how to build a big data interactive dashboard.
How fleet advantage analytics uses predic engine and iot with machine learningnkabra
Fleet Advantage uses Predix data lake engine and IoT analytics to provide turnkey asset management solutions through monitoring individual vehicles and vehicle groups. Their ATLAAS software gives fleet executives pertinent fleet information and data visualizations through an easy-to-use interface to manage their fleet. Key disruptions in the commercial vehicle industry include increased telematics data, autonomous driving, electrification, and automating inspections. Fleet Advantage collects over 2PB of data monthly from 475,000 vehicles to generate health reports and reduce downtime, repairs, and maintenance costs through predictive maintenance.
Dynamic filtering for presto join optimisationOri Reshef
@Roman Zeyde Explains how to optimize Presto Joins in selective use cases.
Roman is a Talpiot graduate and an ex-googler, today working as Varada presto architect.
This document discusses different types of OLAP (online analytical processing) systems and tools. It defines OLAP as a multidimensional database where data is stored in a vector to allow for quick analysis. It describes different types of OLAP including MOLAP which stores data in a multidimensional structure, ROLAP which uses a relational database, and HOLAP which combines relational and multidimensional storage. Finally, it lists several major providers of OLAP systems and tools.
GPS navigation for couriers provides several benefits:
It helps couriers find recipients more easily, improves productivity and customer satisfaction. It also allows for more optimal routing, reduced fuel costs and increased operational efficiency. Navigation software integrated with planning systems provides accurate data collection and features like estimated times of arrival and dynamic route optimization. This allows for predictable delivery slots and helps drivers independently manage time windows to maintain high efficiency.
This document summarizes the growth and strategy of InfluxData, a time-series database company. It discusses how InfluxData was founded in 2013, has grown to over 450 customers with 175,000 instances in use today. It outlines InfluxData's platform strategy to be the platform of choice for metrics and event workloads across infrastructure, IoT, and business applications. The document characterizes InfluxData's customers and their use cases, and highlights some example customers including Bethesda Games, Wayfair, and Playtech. It discusses InfluxData's core focus on developer happiness, being purpose-built for time-series data, and commitment to open source.
This document discusses Esri software in the AWS cloud. It provides background on how government agencies like HHS and CMS use AWS for hosting healthcare data. It outlines options for deploying Esri web GIS including using AWS services like EC2, S3, and Redshift. Finally it discusses opportunities to partner with AWS and Esri to help more organizations take advantage of cloud computing.
The document describes an industrial process historian that has many scalable and high availability features such as linear scalability, clustering, sharding, a flexible data schema with searchable metadata, stream analytics capabilities, and extensible user-defined functions. It also has tools for visualization, alarm generation, and an open source code base. This system, called Influx, provides an ecosystem for data storage, analytics and visualization for industrial processes.
Lift and Shift 20 Million Features with ArcGIS Data Interoperability Safe Software
Over three hundred Esri Data Interopability Scripts comprised of over 36,000 transformers and a lot of late nights helped move over 20 million water utility features between 40 databases. As part of a data migration effort within American Water, Magnolia River Services GIS Team leveraged the Data Interoperability Extension to automate complex mapping between legacy and updated water network enterprise databases. The resulting scripts cut the data migration time down to under 20 hours.
Big data processing with PubSub, Dataflow, and BigQueryThuyen Ho
The document discusses Knorex's approach to processing large volumes of streaming user data in real-time using Google Cloud technologies. It describes a serverless streaming pipeline that ingests data into Pub/Sub, uses Dataflow for stream processing, and stores processed data in BigQuery for analytics and a Cloud Bigtable for real-time user targeting. The pipeline handles 1500 events per second, processes 1TB of data daily, and reprocesses 30TB of historical data each day using both streaming and batch Dataflow jobs.
The document provides information on Fanestra Medical Billing System and the services they offer. Fanestra has over 10 years of experience in medical billing and collection. They provide billing, collection, software and IT services at competitive prices while maintaining high quality. The document outlines their billing process, software features, reports, security measures and team to demonstrate their capabilities and assure clients.
Kafka Summit SF 2017 - Keynote - Managing Data at Scale: The Unreasonable Eff...confluent
This document discusses techniques for managing data at scale using a microservices architecture and event-driven design. It explains how events can be used as the primary mechanism for sharing data between services, enabling joins across services, and coordinating transactions that span multiple services. Specific techniques covered include using events with asynchronous caches to share data, services that materialize joins, and implementing workflows as sagas of events with compensating actions. The key message is that events provide a unified approach for handling the major data challenges introduced by splitting an application into independent microservices.
Spruiktec provides digital solutions to help manufacturers optimize their processes, assets, labor, inventory, quality, and energy usage. Their services include consulting, systems implementation, project delivery, cloud solutions, and 24/7 support. They collect real-time data from processes and equipment to analyze key performance indicators, identify process deviations, and generate alerts. This allows manufacturers to monitor production processes, track material consumption and integrate with ERP systems, and perform predictive maintenance to optimize operations.
Creating stunning data analytics dashboard using php and flex10n Software, LLC
The document discusses creating a data analytic dashboard using PHP and Flex. It proposes using message queues to handle quick transient data, databases for persistent structured data, and job queues to batch process data to avoid overwhelming the dashboard. The solutions presented use Magento to hook into page requests and sales cycles, an ActiveMQ queue to handle traffic and sales data, and a job queue to process the data and store summaries in a database. The dashboard would then retrieve summaries from the database via service calls to display traffic, sales, and product summary views.
The Registry-Registrar-Data-Group deals with the exchange of statistical information between domain name registries and registrars. The slides describe the current state of the specification, which is available in a public github repository
Towards INSPIRE environmental 5* Open Data Martin Tuchyna
This document discusses exposing INSPIRE and other geo data and metadata to the semantic web. It outlines the main objective, current status, work done so far including transforming and publishing data. The outcomes of publishing linked RDF data, metadata, and APIs are described. Benefits include combining datasets while challenges involve new ways of thinking and toolset support. The forecast includes migrating to new infrastructure, enriching data with links, and improving visualization and awareness raising activities.
This document discusses APNIC resource statistics and tools for visualizing network data. It introduces FTP stats that contain details of IP address delegations. It also describes the APNIC Stats Portal, a graphical interface for viewing address allocation data. Additionally, it outlines APNIC Labs and the vizAS tool for exploring connections between autonomous systems. The presentation provides links to these online resources and encourages feedback.
PrEstoCloud : PROACTIVE CLOUD RESOURCES MANAGEMENT AT THE EDGE FOR EFFICIENT ...OW2
PrEstoCloud project will make substantial research contributions in the cloud computing and real-time data intensive applications domains, since it will provide a dynamic, distributed, self-adaptive and proactively configurable architecture for processing Big Data streams. In particular, PrEstoCloud aims to combine real-time Big Data, mobile processing and cloud computing research in a unique way that entails proactiveness of cloud resources use and extension of the fog computing paradigm to the extreme edge of the network. The envisioned PrEstoCloud solution is driven by the microservices paradigm and has been structured across five different conceptual layers: i) Meta-management; ii) Control; iii) Cloud infrastructure; iv) Cloud/Edge communication and v) Devices, layers.
This innovative solution will address the challenge of cloud-based self-adaptive real-time Big Data processing, including mobile stream processing and will be demonstrated and assessed in several challenging, complementary and commercially-promising pilots. There will be three PrEstoCloud pilots from the logistics, mobile journalism and video surveillance, application domains. The objective is to validate the PrEstoCloud solution, prove that it is domain agnostic and demonstrate the added value of its exploitable assets, for attracting early adopters and initialising the exploitation process as soon as possible.
Stream processing still evolves and changes at a speed that can make it hard to keep up with the developments. Being at the forefront of stream processing technology, the evolution of Apache Flink has mirrored many of these developments and continues to do so.
We will take you on a journey through the major milestones of stream processing technology in past years, diving into the latest additions that Apache Flink and other communities introduced to the stream processing landscape, such as Streamng SQL, Time Versioned Tables, cluster-library-duality, language portability, etc.
We will take a sneak peek into our crystal ball and present in what the Flink community is working on next.
Radioactive decay involves the spontaneous breakdown of an unstable nucleus through alpha, beta, or gamma decay. Alpha decay involves emitting an alpha particle (helium nucleus), beta decay involves emitting an electron, and gamma decay involves emitting electromagnetic radiation. Balancing nuclear equations requires that the sums of atomic numbers and mass numbers are equal on both sides of the equation. Artificial transmutation through particle bombardment can produce nuclei with different numbers of protons and neutrons compared to the original.
Participatory Budgeting & Public Finance Planning in New ZealandManu Caddie
This document discusses public finance planning in New Zealand local government. It provides an overview of the local government structure, the legislative environment governing public finance, and the planning and reporting cycles used. It also examines trends in public participation, noting it has traditionally involved older, wealthier residents. The document argues opportunities exist to improve public participation, such as by formalizing local government commitments to empowering citizens and establishing funds to allocate portions of budgets to specific community groups.
"Interactive Deep Analytics" DashboardYaniv Shalev
There are many BI systems. What's different and challenging about dashboard in particular is the combination of simplicity and actionability which makes building and optimization of an interactive dashboard a damn hard problem.
Theses slides cover real life techniques of how to build a big data interactive dashboard.
How fleet advantage analytics uses predic engine and iot with machine learningnkabra
Fleet Advantage uses Predix data lake engine and IoT analytics to provide turnkey asset management solutions through monitoring individual vehicles and vehicle groups. Their ATLAAS software gives fleet executives pertinent fleet information and data visualizations through an easy-to-use interface to manage their fleet. Key disruptions in the commercial vehicle industry include increased telematics data, autonomous driving, electrification, and automating inspections. Fleet Advantage collects over 2PB of data monthly from 475,000 vehicles to generate health reports and reduce downtime, repairs, and maintenance costs through predictive maintenance.
Dynamic filtering for presto join optimisationOri Reshef
@Roman Zeyde Explains how to optimize Presto Joins in selective use cases.
Roman is a Talpiot graduate and an ex-googler, today working as Varada presto architect.
This document discusses different types of OLAP (online analytical processing) systems and tools. It defines OLAP as a multidimensional database where data is stored in a vector to allow for quick analysis. It describes different types of OLAP including MOLAP which stores data in a multidimensional structure, ROLAP which uses a relational database, and HOLAP which combines relational and multidimensional storage. Finally, it lists several major providers of OLAP systems and tools.
GPS navigation for couriers provides several benefits:
It helps couriers find recipients more easily, improves productivity and customer satisfaction. It also allows for more optimal routing, reduced fuel costs and increased operational efficiency. Navigation software integrated with planning systems provides accurate data collection and features like estimated times of arrival and dynamic route optimization. This allows for predictable delivery slots and helps drivers independently manage time windows to maintain high efficiency.
This document summarizes the growth and strategy of InfluxData, a time-series database company. It discusses how InfluxData was founded in 2013, has grown to over 450 customers with 175,000 instances in use today. It outlines InfluxData's platform strategy to be the platform of choice for metrics and event workloads across infrastructure, IoT, and business applications. The document characterizes InfluxData's customers and their use cases, and highlights some example customers including Bethesda Games, Wayfair, and Playtech. It discusses InfluxData's core focus on developer happiness, being purpose-built for time-series data, and commitment to open source.
This document discusses Esri software in the AWS cloud. It provides background on how government agencies like HHS and CMS use AWS for hosting healthcare data. It outlines options for deploying Esri web GIS including using AWS services like EC2, S3, and Redshift. Finally it discusses opportunities to partner with AWS and Esri to help more organizations take advantage of cloud computing.
The document describes an industrial process historian that has many scalable and high availability features such as linear scalability, clustering, sharding, a flexible data schema with searchable metadata, stream analytics capabilities, and extensible user-defined functions. It also has tools for visualization, alarm generation, and an open source code base. This system, called Influx, provides an ecosystem for data storage, analytics and visualization for industrial processes.
Lift and Shift 20 Million Features with ArcGIS Data Interoperability Safe Software
Over three hundred Esri Data Interopability Scripts comprised of over 36,000 transformers and a lot of late nights helped move over 20 million water utility features between 40 databases. As part of a data migration effort within American Water, Magnolia River Services GIS Team leveraged the Data Interoperability Extension to automate complex mapping between legacy and updated water network enterprise databases. The resulting scripts cut the data migration time down to under 20 hours.
Big data processing with PubSub, Dataflow, and BigQueryThuyen Ho
The document discusses Knorex's approach to processing large volumes of streaming user data in real-time using Google Cloud technologies. It describes a serverless streaming pipeline that ingests data into Pub/Sub, uses Dataflow for stream processing, and stores processed data in BigQuery for analytics and a Cloud Bigtable for real-time user targeting. The pipeline handles 1500 events per second, processes 1TB of data daily, and reprocesses 30TB of historical data each day using both streaming and batch Dataflow jobs.
The document provides information on Fanestra Medical Billing System and the services they offer. Fanestra has over 10 years of experience in medical billing and collection. They provide billing, collection, software and IT services at competitive prices while maintaining high quality. The document outlines their billing process, software features, reports, security measures and team to demonstrate their capabilities and assure clients.
Kafka Summit SF 2017 - Keynote - Managing Data at Scale: The Unreasonable Eff...confluent
This document discusses techniques for managing data at scale using a microservices architecture and event-driven design. It explains how events can be used as the primary mechanism for sharing data between services, enabling joins across services, and coordinating transactions that span multiple services. Specific techniques covered include using events with asynchronous caches to share data, services that materialize joins, and implementing workflows as sagas of events with compensating actions. The key message is that events provide a unified approach for handling the major data challenges introduced by splitting an application into independent microservices.
Spruiktec provides digital solutions to help manufacturers optimize their processes, assets, labor, inventory, quality, and energy usage. Their services include consulting, systems implementation, project delivery, cloud solutions, and 24/7 support. They collect real-time data from processes and equipment to analyze key performance indicators, identify process deviations, and generate alerts. This allows manufacturers to monitor production processes, track material consumption and integrate with ERP systems, and perform predictive maintenance to optimize operations.
Creating stunning data analytics dashboard using php and flex10n Software, LLC
The document discusses creating a data analytic dashboard using PHP and Flex. It proposes using message queues to handle quick transient data, databases for persistent structured data, and job queues to batch process data to avoid overwhelming the dashboard. The solutions presented use Magento to hook into page requests and sales cycles, an ActiveMQ queue to handle traffic and sales data, and a job queue to process the data and store summaries in a database. The dashboard would then retrieve summaries from the database via service calls to display traffic, sales, and product summary views.
The Registry-Registrar-Data-Group deals with the exchange of statistical information between domain name registries and registrars. The slides describe the current state of the specification, which is available in a public github repository
Towards INSPIRE environmental 5* Open Data Martin Tuchyna
This document discusses exposing INSPIRE and other geo data and metadata to the semantic web. It outlines the main objective, current status, work done so far including transforming and publishing data. The outcomes of publishing linked RDF data, metadata, and APIs are described. Benefits include combining datasets while challenges involve new ways of thinking and toolset support. The forecast includes migrating to new infrastructure, enriching data with links, and improving visualization and awareness raising activities.
This document discusses APNIC resource statistics and tools for visualizing network data. It introduces FTP stats that contain details of IP address delegations. It also describes the APNIC Stats Portal, a graphical interface for viewing address allocation data. Additionally, it outlines APNIC Labs and the vizAS tool for exploring connections between autonomous systems. The presentation provides links to these online resources and encourages feedback.
PrEstoCloud : PROACTIVE CLOUD RESOURCES MANAGEMENT AT THE EDGE FOR EFFICIENT ...OW2
PrEstoCloud project will make substantial research contributions in the cloud computing and real-time data intensive applications domains, since it will provide a dynamic, distributed, self-adaptive and proactively configurable architecture for processing Big Data streams. In particular, PrEstoCloud aims to combine real-time Big Data, mobile processing and cloud computing research in a unique way that entails proactiveness of cloud resources use and extension of the fog computing paradigm to the extreme edge of the network. The envisioned PrEstoCloud solution is driven by the microservices paradigm and has been structured across five different conceptual layers: i) Meta-management; ii) Control; iii) Cloud infrastructure; iv) Cloud/Edge communication and v) Devices, layers.
This innovative solution will address the challenge of cloud-based self-adaptive real-time Big Data processing, including mobile stream processing and will be demonstrated and assessed in several challenging, complementary and commercially-promising pilots. There will be three PrEstoCloud pilots from the logistics, mobile journalism and video surveillance, application domains. The objective is to validate the PrEstoCloud solution, prove that it is domain agnostic and demonstrate the added value of its exploitable assets, for attracting early adopters and initialising the exploitation process as soon as possible.
Stream processing still evolves and changes at a speed that can make it hard to keep up with the developments. Being at the forefront of stream processing technology, the evolution of Apache Flink has mirrored many of these developments and continues to do so.
We will take you on a journey through the major milestones of stream processing technology in past years, diving into the latest additions that Apache Flink and other communities introduced to the stream processing landscape, such as Streamng SQL, Time Versioned Tables, cluster-library-duality, language portability, etc.
We will take a sneak peek into our crystal ball and present in what the Flink community is working on next.
Radioactive decay involves the spontaneous breakdown of an unstable nucleus through alpha, beta, or gamma decay. Alpha decay involves emitting an alpha particle (helium nucleus), beta decay involves emitting an electron, and gamma decay involves emitting electromagnetic radiation. Balancing nuclear equations requires that the sums of atomic numbers and mass numbers are equal on both sides of the equation. Artificial transmutation through particle bombardment can produce nuclei with different numbers of protons and neutrons compared to the original.
Participatory Budgeting & Public Finance Planning in New ZealandManu Caddie
This document discusses public finance planning in New Zealand local government. It provides an overview of the local government structure, the legislative environment governing public finance, and the planning and reporting cycles used. It also examines trends in public participation, noting it has traditionally involved older, wealthier residents. The document argues opportunities exist to improve public participation, such as by formalizing local government commitments to empowering citizens and establishing funds to allocate portions of budgets to specific community groups.
The document discusses various types of muscular dystrophies including Duchenne muscular dystrophy, Becker muscular dystrophy, Emery-Dreifuss muscular dystrophy, limb-girdle muscular dystrophy, facioscapulohumeral muscular dystrophy, distal muscular dystrophy, congenital muscular dystrophy, myotonic muscular dystrophy, and oculopharyngeal muscular dystrophy. It provides information on the pathology, clinical manifestations, and treatment of each condition. The document was compiled by Dr. Ankit Srivastava and discusses muscular dystrophy remedies in homeopathic medicine.
The document discusses half-life, radiocarbon dating, decay curves, and parent and daughter isotopes. It then covers nuclear reactions like fission, fusion, and chain reactions. Key points include: half-life is the time for an isotope to decay to half its value; radiocarbon dating measures age using carbon-14 remaining; decay curves show isotope decay rates over time; daughter isotopes are stable products and parent isotopes undergo decay. Fission splits nuclei into smaller pieces, releasing energy. Nuclear equations represent radioactive decay and fusion combines low mass nuclei. Chain reactions initiate one reaction after another.
Heavy metal in the environment and effect on plant physiologyArifin Sandhi
This document summarizes the effects of heavy metals in the environment on plant physiology. It discusses how industrialization and mining have increased heavy metal levels and how plants uptake metals through their roots and foliage. It then examines the physiological effects on plants, including cellular interactions where metals are stored, transport mechanisms using proteins, impacts on metabolism like oxidative stress, and effects on photosynthesis, reproduction, and hyperaccumulation. The document concludes that understanding plant uptake and resistance strategies could help with phytoremediation and addressing metal deficiencies in foods.
This document discusses arsenic poisoning. It begins by defining arsenic and describing its characteristics, including that it is colorless, odorless, and tasteless. It then discusses sources of arsenic exposure like contaminated water or food, occupational exposure, and arsenic's movement in the environment. The document outlines both acute and chronic health effects of arsenic poisoning, including cancers, neurological effects, and vascular disease. It provides details on treatment options like chelation therapy and hemodialysis. In the end, it discusses some case studies on arsenic exposure in Latin America and links between high exposure levels and various adverse health outcomes.
Corrosion is the destruction of metals through reaction with the environment. It can occur in dry or wet environments and causes economic and safety issues. There are two main types of corrosion: general/uniform corrosion, which occurs at the same rate over the entire surface, and localized corrosion, which affects only certain areas. Methods of preventing corrosion include proper material selection, protective coatings like paint and plating, cathodic protection, and design considerations. Non-ferrous metals are metals that do not contain much iron and include aluminum, copper, zinc, and others which are used due to properties like corrosion resistance.
ArcReporting is a fund reporting solution that:
1) Speeds up and simplifies fund reporting by automating processes, reducing draft cycles, and eliminating offline typesetting.
2) Provides full book management and composition capabilities to produce cover-to-cover drafts of reports.
3) Standardizes data across multiple sites and funds while protecting branding with standardized templates.
The document outlines requirements and capabilities for a hybrid cloud portal architecture. It describes key requirements such as establishing a unified management portal with role-based access controls and dashboards to monitor infrastructure performance and metrics. It also summarizes the portal's capabilities like single sign-on, account management, reporting, and an automated service catalog. Transition and implementation approaches are covered as well as assumptions and project estimates.
WSO2 Data Analytics Server is a comprehensive enterprise data analytics platform; it fuses batch and real-time analytics of any source of data with predictive analytics via machine learning.
Enterprise Use Case Webinar - PaaS Metering and Monitoring WSO2
This document discusses metering and monitoring considerations for platform-as-a-service (PaaS) deployments. It identifies key metrics that should be tracked, such as bandwidth usage, storage usage, API call statistics, and service/mediation statistics. It describes using the WSO2 Business Activity Monitor (BAM) to capture metrics from usage agents and publish them to Cassandra and Apache Hadoop for long-term storage and analysis. Summarized metrics can power billing and throttling systems to manage resource usage across a multi-tenant PaaS.
MapR 5.2: Getting More Value from the MapR Converged Data PlatformMapR Technologies
End of maintenance for MapR 4.x is coming in January, so now is a good time to plan your upgrade. Please join us to learn about the recent developments during the past year in the MapR Platform that will make the upgrade effort this year worthwhile.
Rakesh Dhanani has over 15 years of experience developing Oracle databases and applications. His experience includes implementing, supporting, and developing Oracle EBS applications. He has developed custom applications, interfaces, reports and ETL processes. Currently he focuses on Oracle database and application development at Chicago Bridge & Iron. Previously he developed Oracle databases and applications at BHP Billiton and Swift Energy, gaining experience in the oil and gas industry.
3 reasons to pick a time series platform for monitoring dev ops driven contai...DevOps.com
In this webinar, Navdeep Sidhu, Head of Product Marketing at InfluxData, will review why you should use a Time Series Database (TSDB) for your important times series data and not one of the traditional datastore you may have used in the past. Join us to learn why you should consider implementing a new monitoring strategy as you upgrade your application architecture.
HiFX designed and implemented a unified data analytics platform called Vision Lens for Malayala Manorama to generate meaningful insights from large amounts of data across their multiple digital properties. The solution involved building a data lake, data pipeline, processing framework, and dashboards to provide real-time and historical analytics. This helped Manorama improve user experiences, drive smarter marketing, and make better business decisions.
This document summarizes an advanced planning solution called ORTEC Routing and Dispatch. It is a transport management application that helps companies meet challenges in logistics like punctuality, reliability, and customer focus. The solution provides optimized routing, scheduling, dispatching and tracking to improve cost effectiveness, collaboration, and return on investment. It handles various transportation needs and integrates with other systems. Key features include optimization of batch planning and real-time execution, centralized architecture, and handling of events.
Continuous Integration and Continuous Deployment Pipeline with Apprenda on ON...Shrivatsa Upadhye
The document discusses integrating Apprenda PaaS with NetApp storage to enable continuous integration and continuous deployment workflows. Apprenda provides a platform for CI/CD pipelines, while NetApp provides the underlying storage. Integrating Jenkins with Apprenda and NetApp improves developer productivity by reducing build times and optimizing storage usage through features like snapshots. The integration allows applications to move faster through testing phases and onto production deployment.
Algorithm for Scheduling of Dependent Task in CloudIRJET Journal
This document discusses scheduling dependent tasks in the cloud. It proposes an algorithm to improve the efficiency of task execution in the cloud compared to the First Come First Serve (FCFS) approach. The algorithm is tested using a cloud simulator with different workflows, virtual machine configurations, and task lengths. Results show the proposed algorithm reduces overall makespan compared to FCFS. The document also provides background on cloud computing models including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).
Ravi Kumar Reddy Narala has over 13 years of experience in information technology with expertise in the full software development life cycle. He has extensive experience with databases including Oracle, SQL Server, and Sybase. Some of his roles have included technical lead, application developer, and senior developer for clients such as The Hartford, JP Morgan Chase, UBS, and Lehman Brothers. He has strong skills in languages such as SQL, PL/SQL, and shell scripting as well as tools including Autosys, Oracle Forms, and Source Control systems.
Capgemini ses - smart water service pov (gr)Gord Reynolds
The document describes Capgemini's Smart Water Services Platform (SWS Platform), an end-to-end integrated workflow engine that manages the entire lifecycle of smart water meters from program planning and rollout to operations and maintenance. Key features of SWS Platform include work order management, device and meter data management, resource management, customer management, and material logistics. It offers flexibility, extensibility, and robustness based on Capgemini's 10 years of experience in smart meter deployments worldwide.
MapR on Azure: Getting Value from Big Data in the Cloud -MapR Technologies
Public cloud adoption is exploding and big data technologies are rapidly becoming an important driver of this growth. According to Wikibon, big data public cloud revenue will grow from 4.4% in 2016 to 24% of all big data spend by 2026. Digital transformation initiatives are now a priority for most organizations, with data and advanced analytics at the heart of enabling this change. This is key to driving competitive advantage in every industry.
There is nothing better than a real-world customer use case to help you understand how to get value from big data in the cloud and apply the learnings to your business. Join Microsoft, MapR, and Sullexis on November 10th to:
Hear from Sullexis on the business use case and technical implementation details of one of their oil & gas customers
Understand the integration points of the MapR Platform with other Azure services and why they matter
Know how to deploy the MapR Platform on the Azure cloud and get started easily
You will also get to hear about customer use cases of the MapR Converged Data Platform on Azure in other verticals such as real estate and retail.
Speakers
Rafael Godinho
Technical Evangelist
Microsoft Azure
Tim Morgan
Managing Director
Sullexis
Cloud-Native Workshop New York- PivotalVMware Tanzu
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StreamAnalytix 2.0 is a multi-engine streaming analytics platform that allows users to deploy multiple streaming engines depending on their use case requirements. It features an easy to use drag-and-drop UI, support for predictive analytics, machine learning, and real-time dashboards. The platform provides a level of abstraction that gives customers flexibility in choosing the best streaming engine for their needs.
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Where Should You Deliver Database Services From?EDB
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IRJET- Cloud Based Warehouse Management FirmIRJET Journal
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Today’s highly connected world is flooding businesses with big and fast-moving data. The ability to trawl this data ocean and identify actionable insights can deliver a competitive advantage to any organization. The WSO2 Analytics Platform enables businesses to do just that by providing batch, real-time, interactive and predictive analysis capabilities all in one place.
In this tutorial we will
* Plug in the WSO2 Analytics Platform to some common business use cases
* Showcase the numerous capabilities of the platform
* Demonstrate how to collect data, analyze, predict and communicate effectively
* Demonstrate how it can analyze integration, security and IoT scenarios
Stick around till the end and you will walk away with the necessary skills to create a winning data strategy for your organization to stay ahead of its competition.
Similar to STOR2RRD is monitoring 1.5 PB environment (20)
STOR2RRD is a performance monitoring and capacity planning tool that monitors all SAN devices within a centralized console. It aggregates performance data for groups of SAN ports across an environment regardless of fabric or switches. Users can view actual and historical performance metrics to track issues and bottlenecks and respond quickly to problems. Additional features include health checks of SAN switches, historical reporting, GUI zooming, and port performance heat maps. Support is offered which provides benefits like next day response, health checks, priority for new features, and customized reports.
STOR2RRD for storage edition - white paperPavel Hampl
STOR2RRD is a performance monitoring and capacity planning tool that monitors storage devices like IBM Storwize, SVC, FlashSystem V9000, DS8000, and Spectrum Accelerate within a centralized console. It presents key metrics on I/O rates, throughput, response times, cache usage and more. It can track historical performance data to identify issues and respond to problems. Supported devices include various IBM storage arrays, LSI/Engenio, and monitoring of ports, pools, volumes, drives and hosts is provided.
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This document discusses capacity planning tools LPAR2RRD and STOR2RRD for monitoring IBM Power Systems. It provides an introduction to the tools, how they can be used to monitor CPU, memory, networking and storage capacity and utilization. Specific features of LPAR2RRD are described like monitoring CPU usage of logical partitions and supporting IBM virtualization technologies. The business model is also briefly covered, noting the tools are free but support subscriptions provide additional features.
This document discusses considerations for migrating workloads from older IBM Power Systems servers to newer POWER8 servers. It outlines important factors to evaluate like high availability requirements, I/O needs, CPU workload characteristics, memory requirements, security, and software licensing. The document also introduces the LPAR2RRD tool which can help estimate CPU sizing needs for a migration based on analyzing current workload data from existing servers. While real migration results may differ based on additional factors, the tool provides an easy way to project CPU loads and compare performance of target POWER8 servers.
LPAR2RRD is free performance monitoring and capacity planning tool.
Presentation is from IBM annual meeting with its customers called COMON in Czech Republic
UI5con 2024 - Boost Your Development Experience with UI5 Tooling ExtensionsPeter Muessig
The UI5 tooling is the development and build tooling of UI5. It is built in a modular and extensible way so that it can be easily extended by your needs. This session will showcase various tooling extensions which can boost your development experience by far so that you can really work offline, transpile your code in your project to use even newer versions of EcmaScript (than 2022 which is supported right now by the UI5 tooling), consume any npm package of your choice in your project, using different kind of proxies, and even stitching UI5 projects during development together to mimic your target environment.
Zoom is a comprehensive platform designed to connect individuals and teams efficiently. With its user-friendly interface and powerful features, Zoom has become a go-to solution for virtual communication and collaboration. It offers a range of tools, including virtual meetings, team chat, VoIP phone systems, online whiteboards, and AI companions, to streamline workflows and enhance productivity.
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SQL has attained widespread adoption, but Business Intelligence tools still use their own higher level languages based upon a multidimensional paradigm. Composable calculations are what is missing from SQL, and we propose a new kind of column, called a measure, that attaches a calculation to a table. Like regular tables, tables with measures are composable and closed when used in queries.
SQL-with-measures has the power, conciseness and reusability of multidimensional languages but retains SQL semantics. Measure invocations can be expanded in place to simple, clear SQL.
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A talk at SIGMOD, June 9–15, 2024, Santiago, Chile
Authors: Julian Hyde (Google) and John Fremlin (Google)
https://doi.org/10.1145/3626246.3653374
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Web:- https://undressbaby.com/
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Deuglo follows seven steps methods for delivering their services to their customers. They called it the Software development life cycle process (SDLC).
Requirement — Collecting the Requirements is the first Phase in the SSLC process.
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STOR2RRD is monitoring 1.5 PB environment
1. STOR2RRD as a performance monitoring and reporting tool for 1.5 PB environment
One of the world’s largest logistic companies has decided to use Infrastructure as a Service
(IaaS) for one of its key projects, instead of the classic CAPEX model (early of 2013). Storage
architecture is based on the IBM System Storage portfolio - SVC, V7000 and DS8870.
Appropriate resource evidence in such environment is a key success driver for provider of IaaS
and for the consumer as well.
The overall storage landscape consists of 4x DS8870 (256 TB each), 10x V7000 (56TB each)
and 32x nodes of SVC as a virtualization layer. The total capacity is over 1.5 PB (end of 2014)!
All LUNs from servers are accessible only via SVC.
One of the keystones of the whole IaaS service is to provide accurate reporting based on
trusted and reliable data. The provider of IaaS has decided to use STOR2RRD as a reporting
tool for accounting purposes and for performance monitoring and reporting. Consequently, this
tool become the core platform for collecting all allocation and performance data (assigned LUNs
to servers, flashcopy sources/targets).
Main goals were:
- collection of accounting data as a baseline for monthly invoicing (consumed resources)
- performance monitoring of physical storages as well as LUNs
- capacity planning and reporting
Once STOR2RRD with premium support was chosen as the reporting and monitoring platform,
the provider started to work with developers of the tool on reports customizations. The
customized reports enabled the customer to get all necessary inputs for managing costs,
capacity and performance.
At the moment STOR2RRD provides all required reports automatically via the web interface and
it is used on day to day basis for reporting and performance monitoring. Consumed HW
resources are reported monthly (1 hour resolution time) and are further used for billing
purposes.
In such a complex environment, this tool enabled both contract parties to keep the infrastructure
utilized at reasonable level, providing accurate reports and evidence for invoicing, performance
monitoring and future resource capacity planning.
Thanks to STOR2RRD it is now much easier to manage this project on daily basis. This tool
provides all required reports and evidence online and retrospectively. It allows the customer to
manage costs and performance up to the application landscape level.