OSIsoft intros to USACE CIO at Microsoft Executive Briefing Center
•
1 like•289 views
This document describes a data analytics platform that can collect data from hundreds of sources using over 500 interfaces, ingest and archive large volumes of scalable data either on-premises or in Azure, and allow users to access both real-time and historical enterprise data for analysis using visual tools.
Report
Share
Report
Share
Download to read offline
Recommended
IPC Global Big Data To Decision Solution Overview
This document discusses IPC Global's enterprise intelligence solutions for processing big data using Cloudera and AWS tools. It outlines an end-to-end example using randomly generated data to demonstrate loading data into HDFS, processing it with MapReduce, selectively reducing the data, loading it into data warehouses, and creating reports with QlikView. IPC Global provides capabilities including a Cloudera CDH5 cluster, AWS EMR, database servers, and tools for data generation, ETL, and demonstration programs to validate hybrid on-premise and cloud big data pipelines.
Elasticsearch in production Boston Meetup October 2014
Elasticsearch easily lets you develop amazing things, and it has gone to great lengths to make Lucene's features readily available in a distributed setting. However, when it comes to running Elasticsearch in production, you still have a fairly complicated system on your hands: a system with high demands on network stability, a huge appetite for memory, and a system that assumes all users are trustworthy. This talk will cover some of the lessons we've learned from securing and herding hundreds of Elasticsearch clusters.
Cloudera Federal Forum 2014: Hadoop's Impact on the Future of Data Management
Chief Strategy Officer, Chairman and Founder of Cloudera Mike Olson, shares thoughts on the future of data management and how it relates to the public sector.
Architecture Best Practices to Master + Pitfalls to Avoid
Scale with confidence. From deploying a small dev cluster for app search to managing a prod deployment of hundreds of nodes, our Elastic experts have seen it all and they’re sharing everything you need to know.
Spark + Flashblade: Spark Summit East talk by Brian Gold
Modern infrastructure and applications generate extraordinary volumes of log and telemetry data. At Pure Storage, we know this first hand: we have over 5PB of log data from production customers running our all-flash storage systems, from our engineering testbeds, and from test stations at manufacturing partners. Every part of our company — from engineering to sales — now depends on the insights we gather from this data. Given the diversity of our end users, it’s no surprise that our analysis tools comprise a broad mix of reporting queries, stream-processing operations, ad-hoc analyses, and deeper machine-learning algorithms. In this session, we will cover lessons learned from scaling our data warehouse and how we are leveraging Apache Spark’s capabilities as a central hub to meet our analytics demands.
Modern Data architecture Design
The document discusses modern data architectures. It presents conceptual models for data ingestion, storage, processing, and insights/actions. It compares traditional vs modern architectures. The modern architecture uses a data lake for storage and allows for on-demand analysis. It provides an example of how this could be implemented on Microsoft Azure using services like Azure Data Lake Storage, Azure Data Bricks, and Azure Data Warehouse. It also outlines common data management functions such as data governance, architecture, development, operations, and security.
Presto: Fast SQL-on-Anything Across Data Lakes, DBMS, and NoSQL Data Stores
Data Orchestration Summit 2020 organized by Alluxio
https://www.alluxio.io/data-orchestration-summit-2020/
Presto: Fast SQL-on-Anything Across Data Lakes, DBMS, and NoSQL Data Stores
Kamil Bajda-Pawlikowski, CTO, Starburst Data
About Alluxio: alluxio.io
Engage with the open source community on slack: alluxio.io/slack
Cloudian HyperStore Operating Environment
This document introduces the HyperStore Smart Storage Platform, a software-defined object storage system that provides scalable, always-on, and durable storage across hybrid cloud environments. Some key features include using the S3 protocol, replication for high availability, erasure coding for data protection, and smart policies to control data placement, access, and tiering. The system offers multi-tenancy, quality of service controls, security, analytics capabilities, and APIs to programmatically manage storage and integrate with applications.
Recommended
IPC Global Big Data To Decision Solution Overview
This document discusses IPC Global's enterprise intelligence solutions for processing big data using Cloudera and AWS tools. It outlines an end-to-end example using randomly generated data to demonstrate loading data into HDFS, processing it with MapReduce, selectively reducing the data, loading it into data warehouses, and creating reports with QlikView. IPC Global provides capabilities including a Cloudera CDH5 cluster, AWS EMR, database servers, and tools for data generation, ETL, and demonstration programs to validate hybrid on-premise and cloud big data pipelines.
Elasticsearch in production Boston Meetup October 2014
Elasticsearch easily lets you develop amazing things, and it has gone to great lengths to make Lucene's features readily available in a distributed setting. However, when it comes to running Elasticsearch in production, you still have a fairly complicated system on your hands: a system with high demands on network stability, a huge appetite for memory, and a system that assumes all users are trustworthy. This talk will cover some of the lessons we've learned from securing and herding hundreds of Elasticsearch clusters.
Cloudera Federal Forum 2014: Hadoop's Impact on the Future of Data Management
Chief Strategy Officer, Chairman and Founder of Cloudera Mike Olson, shares thoughts on the future of data management and how it relates to the public sector.
Architecture Best Practices to Master + Pitfalls to Avoid
Scale with confidence. From deploying a small dev cluster for app search to managing a prod deployment of hundreds of nodes, our Elastic experts have seen it all and they’re sharing everything you need to know.
Spark + Flashblade: Spark Summit East talk by Brian Gold
Modern infrastructure and applications generate extraordinary volumes of log and telemetry data. At Pure Storage, we know this first hand: we have over 5PB of log data from production customers running our all-flash storage systems, from our engineering testbeds, and from test stations at manufacturing partners. Every part of our company — from engineering to sales — now depends on the insights we gather from this data. Given the diversity of our end users, it’s no surprise that our analysis tools comprise a broad mix of reporting queries, stream-processing operations, ad-hoc analyses, and deeper machine-learning algorithms. In this session, we will cover lessons learned from scaling our data warehouse and how we are leveraging Apache Spark’s capabilities as a central hub to meet our analytics demands.
Modern Data architecture Design
The document discusses modern data architectures. It presents conceptual models for data ingestion, storage, processing, and insights/actions. It compares traditional vs modern architectures. The modern architecture uses a data lake for storage and allows for on-demand analysis. It provides an example of how this could be implemented on Microsoft Azure using services like Azure Data Lake Storage, Azure Data Bricks, and Azure Data Warehouse. It also outlines common data management functions such as data governance, architecture, development, operations, and security.
Presto: Fast SQL-on-Anything Across Data Lakes, DBMS, and NoSQL Data Stores
Data Orchestration Summit 2020 organized by Alluxio
https://www.alluxio.io/data-orchestration-summit-2020/
Presto: Fast SQL-on-Anything Across Data Lakes, DBMS, and NoSQL Data Stores
Kamil Bajda-Pawlikowski, CTO, Starburst Data
About Alluxio: alluxio.io
Engage with the open source community on slack: alluxio.io/slack
Cloudian HyperStore Operating Environment
This document introduces the HyperStore Smart Storage Platform, a software-defined object storage system that provides scalable, always-on, and durable storage across hybrid cloud environments. Some key features include using the S3 protocol, replication for high availability, erasure coding for data protection, and smart policies to control data placement, access, and tiering. The system offers multi-tenancy, quality of service controls, security, analytics capabilities, and APIs to programmatically manage storage and integrate with applications.
Alluxio - Virtual Unified File System
Alluxio provides a virtual unified file system that allows for unified access and accelerated performance of data across multiple storage systems and tiers. It addresses challenges of separating compute and storage in modern data architectures by providing a global namespace, server-side API translation between storage systems, and intelligent multi-tiering of data across RAM, SSDs and HDDs. Alluxio has been deployed in over 100 production environments across financial services, retail, telecom and other industries to accelerate analytics, machine learning and other workloads.
Big Data Case Study: Fortune 100 Telco
This Big Data case study outlines the Hadoop infrastructure deployment for a Fortune 100 media and telecommunications company.
Hadoop adoption in this company had grown organically across multiple different teams, starting with “science projects” and lab initiatives that quickly grew and expanded. Going forward, some of the options they considered for their Big Data deployment included expanding their on-premises infrastructure and using a Hadoop-as-a-Service cloud offering.
Fortunately, they realized that there is a third option: providing the benefits of Hadoop-as-a-Service with on-premises infrastructure. They selected the BlueData EPIC software platform to virtualize their Hadoop infrastructure and provide on-demand access to virtual Hadoop clusters in a secure, multi-tenant model.
Learn more about this case study in the blog post at: http://www.bluedata.com/blog/2015/05/big-data-case-study-hadoop-infrastructure
Scaling Your Skillset with Your Data with Jarrett Garcia (Nielsen)
More data is being created than ever before and the rate at which it is being created is not slowing. This means that new techniques are being developed and used to tackle big data challenges. At Nielsen, big data means opportunities for new products like digital measurement, but also exposed a skills gap for dealing with big data. This session will cover Nielsen’s successful implementation of Spark and Databricks which has allowed Nielsen to scale its products and its Data Scientists’ skillsets.
Community day ppt_kinesisv1.0
Kinesis is an AWS streaming data service that allows users to ingest, process, and analyze real-time streaming data. It offers three main services: Kinesis Data Streams to collect and process streaming data in real-time; Kinesis Data Firehose to load streaming data into AWS data stores; and Kinesis Data Analytics to process and analyze streaming data using SQL or Java for real-time analytics and alerts. Kinesis provides scalability, is fully managed, and enables users to build real-time applications on streaming data.
Architectural Best Practices to Master + Pitfalls to Avoid (P)
This document provides an overview of Elasticsearch concepts and best practices. It discusses Elasticsearch documentation, cluster sizing recommendations from 3 nodes to 100s of nodes, default installations, monitoring capabilities, auto-generated mappings, template structures, dynamic settings, dedicated node types, shard sizing between 15-50GB, specific cluster sizing tools, indexing operations like rollover and split, search optimizations, and considerations for multi-cluster architectures. Customer stories from Elastic Support are recommended to learn lessons from real-world use cases.
HPC Cloud - SURF Research Boot Camp
Third edition of the SURF Research Boot Camp at the TU/e. About eighty researchers and research supporters came together in the Auditorium of the Technical University Eindhoven. The attendees choose between four tracks which contains three hands-on courses about UNIX, HPC Cloud, Cluster computing, Big Data, Visualization, data publishing with 4TU and research data management with IRODS.
Data Orchestration for AI, Big Data, and Cloud
This document discusses the need for data orchestration across fragmented data environments. As more data is generated and stored across different storage systems and clouds, data silos have become inevitable. A data orchestration solution like Alluxio can abstract and orchestrate data across these silos, making data locally accessible to compute frameworks regardless of where the data is stored. Alluxio provides a unified view of data locations, enables data access from any application, and allows data to be burst elastically across clouds for compute. Many large companies are adopting data orchestration to improve data access, reduce costs, and gain more flexibility in their cloud environments.
Deploying openstackdell
This document discusses the prerequisites for deploying OpenStack. It notes that businesses must be willing to change and embrace virtualization and automation. Technically, a minimum practical scale is needed starting at 5 servers for proof of concept and scaling up to 40+ servers for production. The datacenter also needs to be made "cloud ready" with networking, power, and equipment designed for cloud workloads and operations.
Replicate Elasticsearch Data with Cross-Cluster Replication (CCR)
Launched in Elasticsearch version 6.5, cross-cluster replication (CCR) allows you to replicate an index from one Elasticsearch cluster to another. CCR is perfect for a number of use cases including cross data center replication, data locality (multiple copies of data closer to users), and creating a dedicated, centralized analytics cluster populated by multiple source clusters.
Azure Data Warehouse
The document discusses big data and MapReduce concepts. It outlines Azure's big data landscape including HDInsight, Data Lake Store, and Data Lake Analytics. The presentation covers key features of these services like scalability, security, and integration capabilities. It also addresses considerations for data distribution and pricing models within Azure's big data services.
Managing the Dewey Decimal System
OCLC has been using HBase since 2012 to enable single-search-box access to over a billion items from your library and the world’s library collection. This talk will provide an overview of how HBase is structured to provide this information and some of the challenges they have encountered to scale to support the world catalog and how they have overcome them.
IIMB presentation
This document discusses how NoSQL databases can help organizations address challenges related to big data including volume, variety, and velocity of data. It provides examples of how different types of NoSQL databases like key-value stores, document stores, and columnar stores provide more flexibility and scale than traditional relational databases. The document also explains Aerospike's architecture as a distributed in-memory NoSQL database that uses a distributed hash table to evenly distribute data and ensure high performance and linear scalability.
Getting your Big Data on with HDInsight
Introduction to HDInsight, and its capabilities, including Azure Storage, Hive, MapReduce, Mahout and HBase. See also some of the tools mentioned at http://bigdata.red-gate.com/ and source code at https://github.com/simonellistonball/GettingYourBigDataOnMapReduce
IBM Big Data Platform, 2012
IBM's big data platform allows companies to:
1) Analyze large volumes and varieties of structured and unstructured data from multiple sources.
2) Perform real-time streaming analytics on high volumes of data.
3) Discover new insights and experiment with large datasets through ad-hoc queries and analysis.
Using Alluxio as a Fault Tolerant Pluggable Optimization Component to Compute...
This document discusses JD.com's use of Alluxio as a fault-tolerant optimization component for its data computing frameworks. It introduces JD.com and its architecture, describes how JD.com uses Alluxio with Presto for improved performance, and discusses Alluxio's integration with YARN and its use for shuffle services and separating storage from computing.
Azure synapse analytics overview elasta cloud3
This document provides an overview of Azure Synapse Analytics, a limitless analytics service that brings together data warehousing and big data analytics capabilities. It discusses how businesses currently have to maintain separate systems for operational data/relational data and big data/semi-structured data, which Azure Synapse addresses by providing a single service for end-to-end analytics using technologies like SQL and Spark across data warehouses and data lakes at cloud scale with unmatched speed.
Iceberg + Alluxio for Fast Data Analytics
Alluxio Day VIII
December 14, 2021
https://www.alluxio.io/alluxio-day/
Speakers:
Shouwei Chen & Beinan Wang, Alluxio
HPC Storage Appliances for the Enterpris
The document discusses high-performance computing (HPC) storage appliances for enterprises. It outlines the growth opportunity for HPC storage and compares do-it-yourself HPC storage solutions to pre-built appliances. The document promotes Terascala's HPC storage appliances, which are pre-installed and integrated hardware, software, and management solutions that abstract complexity from users while providing performance, scalability, and support benefits over roll-your-own approaches.
Cloudian HyperStore 5.0 Release What's New
This document summarizes new features of Cloudian HyperStore 5.0, an S3 cloud storage platform. It introduces three appliance models for different use cases and price points of around $1 per gigabyte per month. The high-capacity and enterprise models offer more storage, flash optimization, and redundancy. The document also lists enhanced enterprise-ready software features of HyperStore 5.0 like system management, monitoring, diagnostics, and a new install wizard.
Azure Big Data Story
This document discusses Azure big data capabilities including the 5 V's of big data: volume, velocity, variety, veracity, and value. It notes that 60% of big data projects fail to move beyond pilot according to Gartner. It then provides details on Azure persistence choices for storing big data including storage, Data Lake, HDInsight, DocumentDB, SQL databases, and Hadoop options. It also discusses load and data cleaning choices on Azure like Stream Analytics, SQL Server, and Azure Machine Learning. Finally, it presents 5 architectural patterns for using Azure big data capabilities.
The Effect of Technology on Those Who Package and Distribute the News
Technological advancements have drastically changed the media landscape. Traditional content distributors must embrace new technology to stay relevant as consumers now have more choices in content sources and formats. This has affected media companies' business models and how they generate revenue. Media companies must focus on understanding consumers and meeting them on the platforms they use to remain trusted sources of information and keep their businesses viable in this new environment.
Acuent Security
This document provides an overview of a security presentation given by Acuent. It includes an agenda that covers network security and PeopleSoft security. It also provides details about Acuent, including its history, partnerships, locations, lines of business, and alliances. The document outlines topics covered in the presentation such as why security is important, security objectives, vulnerability assessments, developing security policies, and technical security controls not covered.
More Related Content
What's hot
Alluxio - Virtual Unified File System
Alluxio provides a virtual unified file system that allows for unified access and accelerated performance of data across multiple storage systems and tiers. It addresses challenges of separating compute and storage in modern data architectures by providing a global namespace, server-side API translation between storage systems, and intelligent multi-tiering of data across RAM, SSDs and HDDs. Alluxio has been deployed in over 100 production environments across financial services, retail, telecom and other industries to accelerate analytics, machine learning and other workloads.
Big Data Case Study: Fortune 100 Telco
This Big Data case study outlines the Hadoop infrastructure deployment for a Fortune 100 media and telecommunications company.
Hadoop adoption in this company had grown organically across multiple different teams, starting with “science projects” and lab initiatives that quickly grew and expanded. Going forward, some of the options they considered for their Big Data deployment included expanding their on-premises infrastructure and using a Hadoop-as-a-Service cloud offering.
Fortunately, they realized that there is a third option: providing the benefits of Hadoop-as-a-Service with on-premises infrastructure. They selected the BlueData EPIC software platform to virtualize their Hadoop infrastructure and provide on-demand access to virtual Hadoop clusters in a secure, multi-tenant model.
Learn more about this case study in the blog post at: http://www.bluedata.com/blog/2015/05/big-data-case-study-hadoop-infrastructure
Scaling Your Skillset with Your Data with Jarrett Garcia (Nielsen)
More data is being created than ever before and the rate at which it is being created is not slowing. This means that new techniques are being developed and used to tackle big data challenges. At Nielsen, big data means opportunities for new products like digital measurement, but also exposed a skills gap for dealing with big data. This session will cover Nielsen’s successful implementation of Spark and Databricks which has allowed Nielsen to scale its products and its Data Scientists’ skillsets.
Community day ppt_kinesisv1.0
Kinesis is an AWS streaming data service that allows users to ingest, process, and analyze real-time streaming data. It offers three main services: Kinesis Data Streams to collect and process streaming data in real-time; Kinesis Data Firehose to load streaming data into AWS data stores; and Kinesis Data Analytics to process and analyze streaming data using SQL or Java for real-time analytics and alerts. Kinesis provides scalability, is fully managed, and enables users to build real-time applications on streaming data.
Architectural Best Practices to Master + Pitfalls to Avoid (P)
This document provides an overview of Elasticsearch concepts and best practices. It discusses Elasticsearch documentation, cluster sizing recommendations from 3 nodes to 100s of nodes, default installations, monitoring capabilities, auto-generated mappings, template structures, dynamic settings, dedicated node types, shard sizing between 15-50GB, specific cluster sizing tools, indexing operations like rollover and split, search optimizations, and considerations for multi-cluster architectures. Customer stories from Elastic Support are recommended to learn lessons from real-world use cases.
HPC Cloud - SURF Research Boot Camp
Third edition of the SURF Research Boot Camp at the TU/e. About eighty researchers and research supporters came together in the Auditorium of the Technical University Eindhoven. The attendees choose between four tracks which contains three hands-on courses about UNIX, HPC Cloud, Cluster computing, Big Data, Visualization, data publishing with 4TU and research data management with IRODS.
Data Orchestration for AI, Big Data, and Cloud
This document discusses the need for data orchestration across fragmented data environments. As more data is generated and stored across different storage systems and clouds, data silos have become inevitable. A data orchestration solution like Alluxio can abstract and orchestrate data across these silos, making data locally accessible to compute frameworks regardless of where the data is stored. Alluxio provides a unified view of data locations, enables data access from any application, and allows data to be burst elastically across clouds for compute. Many large companies are adopting data orchestration to improve data access, reduce costs, and gain more flexibility in their cloud environments.
Deploying openstackdell
This document discusses the prerequisites for deploying OpenStack. It notes that businesses must be willing to change and embrace virtualization and automation. Technically, a minimum practical scale is needed starting at 5 servers for proof of concept and scaling up to 40+ servers for production. The datacenter also needs to be made "cloud ready" with networking, power, and equipment designed for cloud workloads and operations.
Replicate Elasticsearch Data with Cross-Cluster Replication (CCR)
Launched in Elasticsearch version 6.5, cross-cluster replication (CCR) allows you to replicate an index from one Elasticsearch cluster to another. CCR is perfect for a number of use cases including cross data center replication, data locality (multiple copies of data closer to users), and creating a dedicated, centralized analytics cluster populated by multiple source clusters.
Azure Data Warehouse
The document discusses big data and MapReduce concepts. It outlines Azure's big data landscape including HDInsight, Data Lake Store, and Data Lake Analytics. The presentation covers key features of these services like scalability, security, and integration capabilities. It also addresses considerations for data distribution and pricing models within Azure's big data services.
Managing the Dewey Decimal System
OCLC has been using HBase since 2012 to enable single-search-box access to over a billion items from your library and the world’s library collection. This talk will provide an overview of how HBase is structured to provide this information and some of the challenges they have encountered to scale to support the world catalog and how they have overcome them.
IIMB presentation
This document discusses how NoSQL databases can help organizations address challenges related to big data including volume, variety, and velocity of data. It provides examples of how different types of NoSQL databases like key-value stores, document stores, and columnar stores provide more flexibility and scale than traditional relational databases. The document also explains Aerospike's architecture as a distributed in-memory NoSQL database that uses a distributed hash table to evenly distribute data and ensure high performance and linear scalability.
Getting your Big Data on with HDInsight
Introduction to HDInsight, and its capabilities, including Azure Storage, Hive, MapReduce, Mahout and HBase. See also some of the tools mentioned at http://bigdata.red-gate.com/ and source code at https://github.com/simonellistonball/GettingYourBigDataOnMapReduce
IBM Big Data Platform, 2012
IBM's big data platform allows companies to:
1) Analyze large volumes and varieties of structured and unstructured data from multiple sources.
2) Perform real-time streaming analytics on high volumes of data.
3) Discover new insights and experiment with large datasets through ad-hoc queries and analysis.
Using Alluxio as a Fault Tolerant Pluggable Optimization Component to Compute...
This document discusses JD.com's use of Alluxio as a fault-tolerant optimization component for its data computing frameworks. It introduces JD.com and its architecture, describes how JD.com uses Alluxio with Presto for improved performance, and discusses Alluxio's integration with YARN and its use for shuffle services and separating storage from computing.
Azure synapse analytics overview elasta cloud3
This document provides an overview of Azure Synapse Analytics, a limitless analytics service that brings together data warehousing and big data analytics capabilities. It discusses how businesses currently have to maintain separate systems for operational data/relational data and big data/semi-structured data, which Azure Synapse addresses by providing a single service for end-to-end analytics using technologies like SQL and Spark across data warehouses and data lakes at cloud scale with unmatched speed.
Iceberg + Alluxio for Fast Data Analytics
Alluxio Day VIII
December 14, 2021
https://www.alluxio.io/alluxio-day/
Speakers:
Shouwei Chen & Beinan Wang, Alluxio
HPC Storage Appliances for the Enterpris
The document discusses high-performance computing (HPC) storage appliances for enterprises. It outlines the growth opportunity for HPC storage and compares do-it-yourself HPC storage solutions to pre-built appliances. The document promotes Terascala's HPC storage appliances, which are pre-installed and integrated hardware, software, and management solutions that abstract complexity from users while providing performance, scalability, and support benefits over roll-your-own approaches.
Cloudian HyperStore 5.0 Release What's New
This document summarizes new features of Cloudian HyperStore 5.0, an S3 cloud storage platform. It introduces three appliance models for different use cases and price points of around $1 per gigabyte per month. The high-capacity and enterprise models offer more storage, flash optimization, and redundancy. The document also lists enhanced enterprise-ready software features of HyperStore 5.0 like system management, monitoring, diagnostics, and a new install wizard.
Azure Big Data Story
This document discusses Azure big data capabilities including the 5 V's of big data: volume, velocity, variety, veracity, and value. It notes that 60% of big data projects fail to move beyond pilot according to Gartner. It then provides details on Azure persistence choices for storing big data including storage, Data Lake, HDInsight, DocumentDB, SQL databases, and Hadoop options. It also discusses load and data cleaning choices on Azure like Stream Analytics, SQL Server, and Azure Machine Learning. Finally, it presents 5 architectural patterns for using Azure big data capabilities.
What's hot (20)
Scaling Your Skillset with Your Data with Jarrett Garcia (Nielsen)
Scaling Your Skillset with Your Data with Jarrett Garcia (Nielsen)
Architectural Best Practices to Master + Pitfalls to Avoid (P)
Architectural Best Practices to Master + Pitfalls to Avoid (P)
Replicate Elasticsearch Data with Cross-Cluster Replication (CCR)
Replicate Elasticsearch Data with Cross-Cluster Replication (CCR)
Using Alluxio as a Fault Tolerant Pluggable Optimization Component to Compute...
Using Alluxio as a Fault Tolerant Pluggable Optimization Component to Compute...
Viewers also liked
The Effect of Technology on Those Who Package and Distribute the News
Technological advancements have drastically changed the media landscape. Traditional content distributors must embrace new technology to stay relevant as consumers now have more choices in content sources and formats. This has affected media companies' business models and how they generate revenue. Media companies must focus on understanding consumers and meeting them on the platforms they use to remain trusted sources of information and keep their businesses viable in this new environment.
Acuent Security
This document provides an overview of a security presentation given by Acuent. It includes an agenda that covers network security and PeopleSoft security. It also provides details about Acuent, including its history, partnerships, locations, lines of business, and alliances. The document outlines topics covered in the presentation such as why security is important, security objectives, vulnerability assessments, developing security policies, and technical security controls not covered.
Walter Reed Contract Win Project Kickoff
This document summarizes a project kickoff meeting between Occoquan Crew Technologies and Walter Reed Army Medical Center. The project involves providing public communications support to Walter Reed. Key points discussed include introducing the project team members, outlining the four main task areas of the contract, identifying stakeholders, and discussing the management approach to ensure project success. Next steps include developing formal project charter and scope documents and refining project plans and deliverables.
OSIsoft USACE CIO Executive Briefing PART II 23aug16
This document provides a summary of a regional seminar on cloud computing and analytics. It includes:
- An overview of cloud computing solutions including enterprise ready cloud and cloud on premise.
- A discussion of PI Integrator and how it can be used for business analytics and creating a data warehouse.
- A challenge around making sense of large amounts of industrial process data from different sources.
Introduction to OCTI
Occoquan Crew Technologies (OCTI) is a financially stable professional services company that has been in operation since 2002. It provides management consulting, information technology, software development, and security services primarily to government clients. OCTI has a proven track record, with many long-term contracts supporting organizations like the Army, Pentagon, and Walter Reed Medical Center. It prioritizes excellent customer service and ethics.
Analytical Performance Management
The document discusses analytical performance management. It covers topics like how companies can use analytics to improve performance, regulatory compliance requirements for government agencies, and examples of financial and non-financial performance measures. It also provides examples of how the U.S. Army uses goals, measures, and targets in its performance budget to transform its business processes and technology network. The key message is that specific, measurable goals and linking financial and non-financial metrics can help organizations move discussions from opinions to facts-based evaluations.
Internet of Things Primer
The document provides an overview of the industrial internet of things (IIoT). It discusses how IIoT can help businesses by connecting physical assets via sensors and data collection. The document also notes that IIoT growth will be driven by expanded connectivity, high mobile adoption rates, lower sensor costs, and corporate investment. However, security, privacy, implementation challenges, and fragmentation pose barriers to IIoT growth. The document highlights how IIoT data and analytics can provide operational insights and high value business intelligence when combined with operational context.
Industrial Internet of Things -- Microsoft DC Azure Meetup
The document discusses how the Industrial Internet of Things (IIoT) and data infrastructure can empower businesses in real-time. It provides examples of how OSIsoft's PI System collects and analyzes time-series and contextual data from industrial assets and processes to provide insights. This helps understand operations better, identify problems, determine optimal conditions, and ensure safety. Specific applications highlighted include managing water treatment for a city, and providing nuclear plant performance data to regulators for investigations.
Viewers also liked (8)
The Effect of Technology on Those Who Package and Distribute the News
The Effect of Technology on Those Who Package and Distribute the News
OSIsoft USACE CIO Executive Briefing PART II 23aug16
OSIsoft USACE CIO Executive Briefing PART II 23aug16
Industrial Internet of Things -- Microsoft DC Azure Meetup
Industrial Internet of Things -- Microsoft DC Azure Meetup
More from Stephen Bates
BatesCainelliStrategicAlliances2020v2.pdf
The document discusses strategic alliances and how they reshape competition. It notes that on newer markets, relationships within the value chain are important for sharing risks and rewards of innovation. However, on more mature markets, the value chain is more entrenched. It discusses different types of strategic partnerships and alliances, and how they can be structured. Case studies on successful and failed alliances like Avanade, AOL-TimeWarner, and Apple are provided. Key factors for alliance success include culture fit, clear strategy and goals, and treating partners like customers. Metrics and transparency are also important.
Senior Executives in National and International Security
Harvard Kennedy School offers a mid-to-senior level course for Senior Executives in National and international Security. While the topical matter changes slightly depending on geopolitical conditions, the core curriculum remains the same. Stephen Bates, NSGS member and 2014 graduate, will give an overview of the course curriculum, caliber of instructors and fellow attendees,
application process, and AMA (Ask Me Anything).
SEB Oracle Overview
The document provides an overview of Oracle Corporation, including its scale, innovation and investment, product families, and value proposition. Some key points:
- Oracle has $24.2B in annual revenue, over 370,000 customers, and 106,000 employees worldwide.
- It invests heavily in R&D, with 29,000 developers and $4.3B spent in the most recent fiscal year.
- Oracle offers a complete technology stack including applications, middleware, database, hardware, and management tools.
- Its value proposition is providing customers with integrated systems that are easier to deploy, manage, and support.
SEB Forcepoint Corporate Overview
This document summarizes Forcepoint's approach to cybersecurity, which focuses on understanding the intersection of people, data, and networks. It advocates a "human-centric" approach that detects individuals posing the greatest risk based on their interactions with valuable data. Forcepoint offers a suite of integrated solutions that work together as a "Human Point System" to provide visibility, dynamic enforcement, and control across distributed systems. The system aims to address CISO concerns around data accessibility, unified security policy, determining critical alerts, and timely enforcement.
BatesCainelli Capabilities Overview
Bates Cainelli is a boutique consulting firm providing strategic services to global clients. The firm's leaders have decades of experience in defense, intelligence, and enterprise technology. Bates Cainelli specializes in strategic communications, IT consulting, licensing and compliance, national security, and sales/business development. They have delivered projects for clients such as DARPA, DIA, EMC, and Microsoft. Their approach focuses on collaborative conversations to understand clients' needs and develop statements of work.
Enabling Legacy Sensors for the Internet of Things
This document summarizes a panel discussion on enabling legacy sensors for IoT. It discusses the types of measurements that sensors can take, including position, motion, temperature, chemicals, and more. It also discusses the challenges of deciding whether to build new sensors or integrate existing legacy sensors into IoT applications. Finally, it outlines how IoT will impact many industries and components of the Department of Defense, including facilities, vehicles, aircraft, and weapons systems.
DISA Enterprise Storage Services Contract White Paper
Was given 24 hours to turn around a 3 page strategy paper for how EMC should approach the DISA Enterprise Storage Services Contract. Hired on the spot.
2007 Writing Presentation given as guest lecturer, George Mason University
This document provides an agenda and overview for a 30 minute presentation on writing. The presentation will cover introductions, types of collaborative writing projects, writing for influence and persuasion, writing hints, hiring, and a Q&A session. It discusses the types of writing the presenter engages in, including emails, reports, memos, and proposals. It provides tips for writing emails, the proposal process, and writing winning proposals with an emphasis on style, specificity, using the customer's language, visuals, simplicity, and avoiding unnecessary words.
Strategy and Strategic Alliances for the New York Times
Discussion of strategy and competitive analysis of the New York Times within the context of Strategic Alliances.
More from Stephen Bates (9)
Senior Executives in National and International Security
Senior Executives in National and International Security
Enabling Legacy Sensors for the Internet of Things
Enabling Legacy Sensors for the Internet of Things
DISA Enterprise Storage Services Contract White Paper
DISA Enterprise Storage Services Contract White Paper
2007 Writing Presentation given as guest lecturer, George Mason University
2007 Writing Presentation given as guest lecturer, George Mason University
Strategy and Strategic Alliances for the New York Times
Strategy and Strategic Alliances for the New York Times
Recently uploaded
End-to-end pipeline agility - Berlin Buzzwords 2024
We describe how we achieve high change agility in data engineering by eliminating the fear of breaking downstream data pipelines through end-to-end pipeline testing, and by using schema metaprogramming to safely eliminate boilerplate involved in changes that affect whole pipelines.
A quick poll on agility in changing pipelines from end to end indicated a huge span in capabilities. For the question "How long time does it take for all downstream pipelines to be adapted to an upstream change," the median response was 6 months, but some respondents could do it in less than a day. When quantitative data engineering differences between the best and worst are measured, the span is often 100x-1000x, sometimes even more.
A long time ago, we suffered at Spotify from fear of changing pipelines due to not knowing what the impact might be downstream. We made plans for a technical solution to test pipelines end-to-end to mitigate that fear, but the effort failed for cultural reasons. We eventually solved this challenge, but in a different context. In this presentation we will describe how we test full pipelines effectively by manipulating workflow orchestration, which enables us to make changes in pipelines without fear of breaking downstream.
Making schema changes that affect many jobs also involves a lot of toil and boilerplate. Using schema-on-read mitigates some of it, but has drawbacks since it makes it more difficult to detect errors early. We will describe how we have rejected this tradeoff by applying schema metaprogramming, eliminating boilerplate but keeping the protection of static typing, thereby further improving agility to quickly modify data pipelines without fear.
一比一原版(Chester毕业证书)切斯特大学毕业证如何办理
毕业原版【微信:41543339】【(Chester毕业证书)切斯特大学毕业证】【微信:41543339】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...
The Modern Marketing Reckoner (MMR) is a comprehensive resource packed with POVs from 60+ industry leaders on how AI is transforming the 4 key pillars of marketing – product, place, price and promotions.
The Building Blocks of QuestDB, a Time Series Database
Talk Delivered at Valencia Codes Meetup 2024-06.
Traditionally, databases have treated timestamps just as another data type. However, when performing real-time analytics, timestamps should be first class citizens and we need rich time semantics to get the most out of our data. We also need to deal with ever growing datasets while keeping performant, which is as fun as it sounds.
It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.
State of Artificial intelligence Report 2023
Artificial intelligence (AI) is a multidisciplinary field of science and engineering whose goal is to create intelligent machines.
We believe that AI will be a force multiplier on technological progress in our increasingly digital, data-driven world. This is because everything around us today, ranging from culture to consumer products, is a product of intelligence.
The State of AI Report is now in its sixth year. Consider this report as a compilation of the most interesting things we’ve seen with a goal of triggering an informed conversation about the state of AI and its implication for the future.
We consider the following key dimensions in our report:
Research: Technology breakthroughs and their capabilities.
Industry: Areas of commercial application for AI and its business impact.
Politics: Regulation of AI, its economic implications and the evolving geopolitics of AI.
Safety: Identifying and mitigating catastrophic risks that highly-capable future AI systems could pose to us.
Predictions: What we believe will happen in the next 12 months and a 2022 performance review to keep us honest.
一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理
毕业原版【微信:176555708】【(UCSB毕业证书)圣芭芭拉分校毕业证】【微信:176555708】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信176555708】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信176555708】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
一比一原版(Glasgow毕业证书)格拉斯哥大学毕业证如何办理
毕业原版【微信:41543339】【(Glasgow毕业证书)格拉斯哥大学毕业证】【微信:41543339】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
一比一原版(UMN文凭证书)明尼苏达大学毕业证如何办理
毕业原版【微信:176555708】【(UMN毕业证书)明尼苏达大学毕业证】【微信:176555708】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信176555708】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信176555708】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
一比一原版(牛布毕业证书)牛津布鲁克斯大学毕业证如何办理
毕业原版【微信:41543339】【(牛布毕业证书)牛津布鲁克斯大学毕业证】【微信:41543339】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
Intelligence supported media monitoring in veterinary medicine
Media monitoring in veterinary medicien
Population Growth in Bataan: The effects of population growth around rural pl...
A population analysis specific to Bataan.
一比一原版(UO毕业证)渥太华大学毕业证如何办理
UO毕业证录取书【微信95270640】购买（渥太华大学毕业证成绩单硕士学历）Q微信95270640代办UO学历认证留信网伪造渥太华大学学位证书精仿渥太华大学本科/硕士文凭证书补办渥太华大学 diplomaoffer,Transcript购买渥太华大学毕业证成绩单购买UO假毕业证学位证书购买伪造渥太华大学文凭证书学位证书,专业办理雅思、托福成绩单，学生ID卡，在读证明，海外各大学offer录取通知书，毕业证书，成绩单，文凭等材料:1:1完美还原毕业证、offer录取通知书、学生卡等各种在读或毕业材料的防伪工艺（包括 烫金、烫银、钢印、底纹、凹凸版、水印、防伪光标、热敏防伪、文字图案浮雕，激光镭射，紫外荧光，温感光标）学校原版上有的工艺我们一样不会少，不论是老版本还是最新版本，都能保证最高程度还原，力争完美以求让所有同学都能享受到完美的品质服务。
文凭办理流程：
1客户提供办理信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：微信95270640我们有专业老师帮你查询）；
2开始安排制作毕业证成绩单电子图；
3毕业证成绩单电子版做好以后发送给您确认；
4毕业证成绩单电子版您确认信息无误之后安排制作成品；
5成品做好拍照或者视频给您确认；
6快递给客户（国内顺丰国外DHLUPS等快读邮寄）。
7完成交易删除客户资料
高精端提供以下服务：
一：渥太华大学渥太华大学毕业证文凭证书全套材料从防伪到印刷水印底纹到钢印烫金
二：真实使馆认证（留学人员回国证明）使馆存档
三：真实教育部认证教育部存档教育部留服网站可查
四：留信认证留学生信息网站可查
五：与学校颁发的相关证件1:1纸质尺寸制定（定期向各大院校毕业生购买最新版本毕,业证成绩单保证您拿到的是鲁昂大学内部最新版本毕业证成绩单微信95270640）
A.为什么留学生需要操作留信认证?
留信认证全称全国留学生信息服务网认证,隶属于北京中科院。①留信认证门槛条件更低,费用更美丽,并且包过,完单周期短,效率高②留信认证虽然不能去国企,但是一般的公司都没有问题,因为国内很多公司连基本的留学生学历认证都不了解。这对于留学生来说,这就比自己光拿一个证书更有说服力,因为留学学历可以在留信网站上进行查询!
B.为什么我们提供的毕业证成绩单具有使用价值？
查询留服认证是国内鉴别留学生海外学历的唯一途径但认证只是个体行为不是所有留学生都操作所以没有办理认证的留学生的学历在国内也是查询不到的他们也仅仅只有一张文凭。所以这时候我们提供的和学校颁发的一模一样的毕业证成绩单就有了使用价值。只硕大的蛇皮袋手里拎着长铁钩正站在门口朝黑色的屋内张望不好坏人小偷山娃一怔却也灵机一动立马仰起头双手拢在嘴边朝楼上大喊：“爸爸爸——有人找——那人一听朝山娃尴尬地笑笑悻悻地走了山娃立马“嘭的一声将铁门锁死心却咚咚地乱跳当山娃跟父亲说起这事时父亲很吃惊抚摸着山娃的头说还好醒得及时要不家早被人掏空了到时连电视也没得看啰不过父亲还是夸山娃能临危不乱随机应变有胆有谋山娃笑笑说那都是书上学的看童话和小说时多
Analysis insight about a Flyball dog competition team's performance
Insight of my analysis about a Flyball dog competition team's last year performance. Find more: https://github.com/rolandnagy-ds/flyball_race_analysis/tree/main
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
Learn SQL from basic queries to Advance queries
Dive into the world of data analysis with our comprehensive guide on mastering SQL! This presentation offers a practical approach to learning SQL, focusing on real-world applications and hands-on practice. Whether you're a beginner or looking to sharpen your skills, this guide provides the tools you need to extract, analyze, and interpret data effectively.
Key Highlights:
Foundations of SQL: Understand the basics of SQL, including data retrieval, filtering, and aggregation.
Advanced Queries: Learn to craft complex queries to uncover deep insights from your data.
Data Trends and Patterns: Discover how to identify and interpret trends and patterns in your datasets.
Practical Examples: Follow step-by-step examples to apply SQL techniques in real-world scenarios.
Actionable Insights: Gain the skills to derive actionable insights that drive informed decision-making.
Join us on this journey to enhance your data analysis capabilities and unlock the full potential of SQL. Perfect for data enthusiasts, analysts, and anyone eager to harness the power of data!
#DataAnalysis #SQL #LearningSQL #DataInsights #DataScience #Analytics
My burning issue is homelessness K.C.M.O.
My burning issue is homelessness in Kansas City, MO
To: Tom Tresser
From: Roger Warren
一比一原版(Coventry毕业证书)考文垂大学毕业证如何办理
毕业原版【微信:41543339】【(Coventry毕业证书)考文垂大学毕业证】【微信:41543339】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
一比一原版(Harvard毕业证书)哈佛大学毕业证如何办理
毕业原版【微信:41543339】【(Harvard毕业证书)哈佛大学毕业证】【微信:41543339】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
Recently uploaded (20)
End-to-end pipeline agility - Berlin Buzzwords 2024
End-to-end pipeline agility - Berlin Buzzwords 2024
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...
The Building Blocks of QuestDB, a Time Series Database
The Building Blocks of QuestDB, a Time Series Database
A presentation that explain the Power BI Licensing
A presentation that explain the Power BI Licensing
Intelligence supported media monitoring in veterinary medicine
Intelligence supported media monitoring in veterinary medicine
Population Growth in Bataan: The effects of population growth around rural pl...
Population Growth in Bataan: The effects of population growth around rural pl...
Analysis insight about a Flyball dog competition team's performance
Analysis insight about a Flyball dog competition team's performance
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
OSIsoft intros to USACE CIO at Microsoft Executive Briefing Center
- 5. Collect Historize Analyze Visualize Collect data from hundreds of sources. ~500 Interfaces. Ingest and archive massive volumes of data. Scalable Infrastructure. On-prem or Azure Access real-time or historical data for the entire enterprise at any time. View data, identify problems, and take corrective action with familiar, easy- to-use graphical tools Interfaces Servers Analytics Visuals
- 9. • • • – – –
- 10. • • • • •
- 12. • • • • •