Workforce of One co-author Susan Cantrell presented to the Seattle CHO Group on January 12, 2011. Slides from her presentation are posted here with permission from Accenture.
"SPARQL Cheat Sheet" is a short collection of slides intended to act as a guide to SPARQL developers. It includes the syntax and structure of SPARQL queries, common SPARQL prefixes and functions, and help with RDF datasets.
The "SPARQL Cheat Sheet" is intended to accompany the SPARQL By Example slides available at http://www.cambridgesemantics.com/2008/09/sparql-by-example/ .
LinkedIn Data Infrastructure Slides (Version 2)Sid Anand
Learn about Espresso, Databus, and Voldemort. LinkedIn Data Infrastructure Slides (Version 2). This talk was given in NYC on June 20, 2012
You can download the slides as PPT in order to see the transitions here :
http://bit.ly/LfH6Ru
The document provides an overview of knowledge graphs and the metaphactory knowledge graph platform. It defines knowledge graphs as semantic descriptions of entities and relationships using formal knowledge representation languages like RDF, RDFS and OWL. It discusses how knowledge graphs can power intelligent applications and gives examples like Google Knowledge Graph, Wikidata, and knowledge graphs in cultural heritage and life sciences. It also provides an introduction to key standards like SKOS, SPARQL, and Linked Data principles. Finally, it describes the main features and architecture of the metaphactory platform for creating and utilizing enterprise knowledge graphs.
FAIR data has flown up the hype curve without a clear sense of return from the required data stewardship investment. The killer use case for FAIR data is a science knowledge graph. It enables you to richly address novel questions of your and the world’s data. We started with data catalogues (findability) which exploited linked/referenced data using a few focused vocabularies (interoperability), for credentialed users (accessibility), with provenance and attribution (reusability) to make this happen.
This talk was presented at The Molecular Medicine Tri-Conference/Bio-IT West on March 11, 2019.
The document is a slide presentation on MongoDB that introduces the topic and provides an overview. It defines MongoDB as a document-oriented, open source database that provides high performance, high availability, and easy scalability. It also discusses MongoDB's use for big data applications, how it is non-relational and stores data as JSON-like documents in collections without a defined schema. The presentation provides steps for installing MongoDB and describes some basic concepts like databases, collections, documents and commands.
This document discusses the importance of data modeling in Power BI and provides an agenda for a workshop on data modeling techniques. The agenda includes explaining why data modeling is important, relationships, cross filtering, many-to-many relationships, role playing dimensions, and using a calendar table. The workshop aims to explore the features of data modeling in Power BI and enable users to navigate data without having to rewrite queries each time.
Slides: Knowledge Graphs vs. Property GraphsDATAVERSITY
We are in the era of graphs. Graphs are hot. Why? Flexibility is one strong driver: Heterogeneous data, integrating new data sources, and analytics all require flexibility. Graphs deliver it in spades.
Over the last few years, a number of new graph databases came to market. As we start the next decade, dare we say “the semantic twenties,” we also see vendors that never before mentioned graphs starting to position their products and solutions as graphs or graph-based.
Graph databases are one thing, but “Knowledge Graphs” are an even hotter topic. We are often asked to explain Knowledge Graphs.
Today, there are two main graph data models:
• Property Graphs (also known as Labeled Property Graphs)
• RDF Graphs (Resource Description Framework) aka Knowledge Graphs
Other graph data models are possible as well, but over 90 percent of the implementations use one of these two models. In this webinar, we will cover the following:
I. A brief overview of each of the two main graph models noted above
II. Differences in Terminology and Capabilities of these models
III. Strengths and Limitations of each approach
IV. Why Knowledge Graphs provide a strong foundation for Enterprise Data Governance and Metadata Management
"SPARQL Cheat Sheet" is a short collection of slides intended to act as a guide to SPARQL developers. It includes the syntax and structure of SPARQL queries, common SPARQL prefixes and functions, and help with RDF datasets.
The "SPARQL Cheat Sheet" is intended to accompany the SPARQL By Example slides available at http://www.cambridgesemantics.com/2008/09/sparql-by-example/ .
LinkedIn Data Infrastructure Slides (Version 2)Sid Anand
Learn about Espresso, Databus, and Voldemort. LinkedIn Data Infrastructure Slides (Version 2). This talk was given in NYC on June 20, 2012
You can download the slides as PPT in order to see the transitions here :
http://bit.ly/LfH6Ru
The document provides an overview of knowledge graphs and the metaphactory knowledge graph platform. It defines knowledge graphs as semantic descriptions of entities and relationships using formal knowledge representation languages like RDF, RDFS and OWL. It discusses how knowledge graphs can power intelligent applications and gives examples like Google Knowledge Graph, Wikidata, and knowledge graphs in cultural heritage and life sciences. It also provides an introduction to key standards like SKOS, SPARQL, and Linked Data principles. Finally, it describes the main features and architecture of the metaphactory platform for creating and utilizing enterprise knowledge graphs.
FAIR data has flown up the hype curve without a clear sense of return from the required data stewardship investment. The killer use case for FAIR data is a science knowledge graph. It enables you to richly address novel questions of your and the world’s data. We started with data catalogues (findability) which exploited linked/referenced data using a few focused vocabularies (interoperability), for credentialed users (accessibility), with provenance and attribution (reusability) to make this happen.
This talk was presented at The Molecular Medicine Tri-Conference/Bio-IT West on March 11, 2019.
The document is a slide presentation on MongoDB that introduces the topic and provides an overview. It defines MongoDB as a document-oriented, open source database that provides high performance, high availability, and easy scalability. It also discusses MongoDB's use for big data applications, how it is non-relational and stores data as JSON-like documents in collections without a defined schema. The presentation provides steps for installing MongoDB and describes some basic concepts like databases, collections, documents and commands.
This document discusses the importance of data modeling in Power BI and provides an agenda for a workshop on data modeling techniques. The agenda includes explaining why data modeling is important, relationships, cross filtering, many-to-many relationships, role playing dimensions, and using a calendar table. The workshop aims to explore the features of data modeling in Power BI and enable users to navigate data without having to rewrite queries each time.
Slides: Knowledge Graphs vs. Property GraphsDATAVERSITY
We are in the era of graphs. Graphs are hot. Why? Flexibility is one strong driver: Heterogeneous data, integrating new data sources, and analytics all require flexibility. Graphs deliver it in spades.
Over the last few years, a number of new graph databases came to market. As we start the next decade, dare we say “the semantic twenties,” we also see vendors that never before mentioned graphs starting to position their products and solutions as graphs or graph-based.
Graph databases are one thing, but “Knowledge Graphs” are an even hotter topic. We are often asked to explain Knowledge Graphs.
Today, there are two main graph data models:
• Property Graphs (also known as Labeled Property Graphs)
• RDF Graphs (Resource Description Framework) aka Knowledge Graphs
Other graph data models are possible as well, but over 90 percent of the implementations use one of these two models. In this webinar, we will cover the following:
I. A brief overview of each of the two main graph models noted above
II. Differences in Terminology and Capabilities of these models
III. Strengths and Limitations of each approach
IV. Why Knowledge Graphs provide a strong foundation for Enterprise Data Governance and Metadata Management
Thermoluminiscent Dosimetry-Principle, Charateristics, and Applications.pptxdebeshidutta2
Thermoluminescent dosimeters (TLDs) contain materials that trap energy when exposed to ionizing radiation. Upon heating, the trapped energy is released as light emission. TLD readers heat the materials and measure the emitted light, producing a glow curve that reflects the absorbed radiation dose. The glow curve peaks correspond to electron traps of different depths within the material's band structure. Multiple trap depths and competing traps can affect the shape of the glow curve and the material's sensitivity.
Operationalizing the Value of MongoDB: The MetLife ExperienceMongoDB
This document summarizes MetLife's experience adopting MongoDB as an enterprise database. It describes MetLife's system architecture choices including geographic placement across data centers, server hardware, storage, and networking configurations. It also discusses how MetLife designed the system for high availability, disaster recovery, security, monitoring, workload management, and automation to meet enterprise standards. Next steps include further automating operations and introducing additional solutions for backup, monitoring integration, workload management, and performance benchmarking.
eBay has been using MongoDB to power several large scale applications due to its ability to scale horizontally and handle high volumes of data and queries. Some key applications summarized include search suggestions which handles high volume lookups, a cloud manager which tracks resource states, and a media metadata store which will store tens of terabytes of image data partitioned across multiple shards. MongoDB provides benefits like flexible schemas, automatic shard rebalancing, and proximity-aware replication which help eBay meet performance and scalability needs for these systems.
This document provides an agenda and overview for a presentation on MDX query language for Essbase databases. It includes definitions of key MDX concepts like cubes, dimensions, and levels. It also describes the basic syntax of MDX queries with examples showing simple select statements with columns and rows axes using crossjoins and slices.
This document provides an overview of Hadoop architecture. It discusses how Hadoop uses MapReduce and HDFS to process and store large datasets reliably across commodity hardware. MapReduce allows distributed processing of data through mapping and reducing functions. HDFS provides a distributed file system that stores data reliably in blocks across nodes. The document outlines components like the NameNode, DataNodes and how Hadoop handles failures transparently at scale.
This document provides an overview and introduction to MongoDB, an open-source, high-performance NoSQL database. It outlines MongoDB's features like document-oriented storage, replication, sharding, and CRUD operations. It also discusses MongoDB's data model, comparisons to relational databases, and common use cases. The document concludes that MongoDB is well-suited for applications like content management, inventory management, game development, social media storage, and sensor data databases due to its flexible schema, distributed deployment, and low latency.
Pig Tutorial | Twitter Case Study | Apache Pig Script and Commands | EdurekaEdureka!
This Edureka Pig Tutorial ( Pig Tutorial Blog Series: https://goo.gl/KPE94k ) will help you understand the concepts of Apache Pig in depth.
Check our complete Hadoop playlist here: https://goo.gl/ExJdZs
Below are the topics covered in this Pig Tutorial:
1) Entry of Apache Pig
2) Pig vs MapReduce
3) Twitter Case Study on Apache Pig
4) Apache Pig Architecture
5) Pig Components
6) Pig Data Model
7) Running Pig Commands and Pig Scripts (Log Analysis)
Spark Streaming | Twitter Sentiment Analysis Example | Apache Spark Training ...Edureka!
This Edureka Spark Streaming Tutorial will help you understand how to use Spark Streaming to stream data from twitter in real-time and then process it for Sentiment Analysis. This Spark Streaming tutorial is ideal for both beginners as well as professionals who want to learn or brush up their Apache Spark concepts. Below are the topics covered in this tutorial:
1) What is Streaming?
2) Spark Ecosystem
3) Why Spark Streaming?
4) Spark Streaming Overview
5) DStreams
6) DStream Transformations
7) Caching/ Persistence
8) Accumulators, Broadcast Variables and Checkpoints
9) Use Case – Twitter Sentiment Analysis
The document provides an overview of HL7 Version 3, including its reference information model (RIM) which defines core classes like Entity, Role, Act, and their relationships. It describes the RIM's object-oriented methodology and backbone classes. The training objectives are to define HL7 terms and concepts, describe its modeling methodology, and introduce HL7 Version 3 at NCICB.
Building an Integrated Healthcare Platform with FHIR®WSO2
Healthcare records are increasingly becoming digitized. As patients move around the healthcare ecosystem, their electronic health records must be available, discoverable, and understandable. Further, to support automated clinical decisions and other machine-based processing, the data must also be structured and standardized. This is becoming a matter of interest for institutes such as government agencies and regional bodies, and we are already seeing rules and regulations come into action. For example, the Centers for Medicare and Medicaid Services (CMS), which is a part of the Department of Health and Human Services (HHS) of the United States, has published the “Interoperability and Patient Access final rule (CMS-9115-F)”. This aims to put patients first by giving them access to their health information when they need it most and in a way they can best use it.
Fast Healthcare Interoperability Resources (FHIR®) is a next-generation standard framework created by HL7 combining the best features of previous HL7 standards. FHIR® leverages the latest web standards and focuses on ease of implementability.
The slides showcase the primary components of FHIR, discover the architectural principles behind its design, and understand implementation considerations.
MapReduce Tutorial | What is MapReduce | Hadoop MapReduce Tutorial | EdurekaEdureka!
The document discusses Hadoop MapReduce and YARN. It provides an overview of MapReduce concepts like parallel processing and data locality. An example of vote counting is used to illustrate the MapReduce approach. Key components of MapReduce like Map, Reduce, and YARN are explained. The YARN application workflow is described through 8 steps from client submission to application completion. Hands-on MapReduce programming and learning resources are also mentioned.
Hadoop is an open-source framework for distributed storage and processing of large datasets across clusters of commodity hardware. It addresses problems with traditional systems like data growth, network/server failures, and high costs by allowing data to be stored in a distributed manner and processed in parallel. Hadoop has two main components - the Hadoop Distributed File System (HDFS) which provides high-throughput access to application data across servers, and the MapReduce programming model which processes large amounts of data in parallel by splitting work into map and reduce tasks.
This document provides an introduction to MongoDB, including what it is, why it may be used, and how its data model works. Some key points:
- MongoDB is a non-relational database that stores data in flexible, JSON-like documents rather than fixed schema tables.
- It offers advantages like dynamic schemas, embedding of related data, and fast performance at large scales.
- Data is organized into collections of documents, which can contain sub-documents to represent one-to-many relationships without joins.
- Queries use JSON-like syntax to search for patterns in documents, and indexes can improve performance.
What Is Hadoop? | What Is Big Data & Hadoop | Introduction To Hadoop | Hadoop...Simplilearn
This presentation about Hadoop will help you understand what is Big Data, what is Hadoop, how Hadoop came into existence, what are the various components of Hadoop and an explanation on Hadoop use case. In the current time, there is a lot of data being generated every day and this massive amount of data cannot be stored, processed and analyzed using the traditional ways. That is why Hadoop can into existence as a solution for Big Data. Hadoop is a framework that manages Big Data storage in a distributed way and processes it parallelly. Now, let us get started and understand the importance of Hadoop and why we actually need it.
Below topics are explained in this Hadoop presentation:
1. The rise of Big Data
2. What is Big Data?
3. Big Data and its challenges
4. Hadoop as a solution
5. What is Hadoop?
6. Components of Hadoop
7. Use case of Hadoop
What is this Big Data Hadoop training course about?
The Big Data Hadoop and Spark developer course have been designed to impart in-depth knowledge of Big Data processing using Hadoop and Spark. The course is packed with real-life projects and case studies to be executed in the CloudLab.
What are the course objectives?
This course will enable you to:
1. Understand the different components of the Hadoop ecosystem such as Hadoop 2.7, Yarn, MapReduce, Pig, Hive, Impala, HBase, Sqoop, Flume, and Apache Spark
2. Understand Hadoop Distributed File System (HDFS) and YARN as well as their architecture, and learn how to work with them for storage and resource management
3. Understand MapReduce and its characteristics, and assimilate some advanced MapReduce concepts
4. Get an overview of Sqoop and Flume and describe how to ingest data using them
5. Create database and tables in Hive and Impala, understand HBase, and use Hive and Impala for partitioning
6. Understand different types of file formats, Avro Schema, using Arvo with Hive, and Sqoop and Schema evolution
7. Understand Flume, Flume architecture, sources, flume sinks, channels, and flume configurations
8. Understand HBase, its architecture, data storage, and working with HBase. You will also understand the difference between HBase and RDBMS
9. Gain a working knowledge of Pig and its components
10. Do functional programming in Spark
11. Understand resilient distribution datasets (RDD) in detail
12. Implement and build Spark applications
13. Gain an in-depth understanding of parallel processing in Spark and Spark RDD optimization techniques
14. Understand the common use-cases of Spark and the various interactive algorithms
15. Learn Spark SQL, creating, transforming, and querying Data frames
Learn more at https://www.simplilearn.com/big-data-and-analytics/big-data-and-hadoop-training
The presentation covers following topics: 1) Hadoop Introduction 2) Hadoop nodes and daemons 3) Architecture 4) Hadoop best features 5) Hadoop characteristics. For more further knowledge of Hadoop refer the link: http://data-flair.training/blogs/hadoop-tutorial-for-beginners/
This document summarizes the new features in DOORS 9.0, including improvements to the user interface, user administration functionality using the Telelogic Directory Server (TDS), and the introduction of DOORS Web Access as an alternative to the DOORS/Net client. Key features include centralized user management, support for enterprise authentication, enhanced traceability through integration with Microsoft Team Foundation Server, and the ability to access DOORS databases from a web browser without installing additional components.
This document discusses document databases and MongoDB. It defines documents as the main concept, which are simply named collections of fields that can be in formats like JSON, XML, or BSON. It covers designing document databases through modeling data as documents, denormalizing or normalizing documents, handling complex relations, indexing, and summarizing. Features of MongoDB like consistency, replication, transactions, availability, querying and scaling are examined. Examples of suitable use cases and when not to use document databases are provided. The document includes samples of documents, architectures, cases for product catalogs and order histories, and MongoDB tools.
This document provides an introduction to NoSQL and MongoDB. It discusses that NoSQL is a non-relational database management system that avoids joins and is easy to scale. It then summarizes the different flavors of NoSQL including key-value stores, graphs, BigTable, and document stores. The remainder of the document focuses on MongoDB, describing its structure, how to perform inserts and searches, features like map-reduce and replication. It concludes by encouraging the reader to try MongoDB themselves.
In this session you will learn:
HIVE Overview
Working of Hive
Hive Tables
Hive - Data Types
Complex Types
Hive Database
HiveQL - Select-Joins
Different Types of Join
Partitions
Buckets
Strict Mode in Hive
Like and Rlike in Hive
Hive UDF
For more information, visit: https://www.mindsmapped.com/courses/big-data-hadoop/hadoop-developer-training-a-step-by-step-tutorial/
Max'ing cmmi benefit extra efficiencies & higher performance v1.0Mark Smith
Accenture has used CMMI on a large scale to improve software engineering effectiveness and efficiency. Some benefits include increased productivity up to 25%, costs of failure cut by two-thirds, and majority of projects now within 10% of plans. Accenture discusses how it realized these high performance benefits through mechanisms like industrialized delivery methods, rapid appraisals, and overcoming challenges like practitioner disbelief and siloed resistance. Looking ahead, Accenture believes CMMI can help organizations maximize their ability to respond to today's dynamic business pressures.
Use Totalview to systematically register and measure staff and company activites in real-time so you can base your business decisions on real-time facts.
Try for free on www.total-view.com to see a fully functional demo of Totalview in action.
Thermoluminiscent Dosimetry-Principle, Charateristics, and Applications.pptxdebeshidutta2
Thermoluminescent dosimeters (TLDs) contain materials that trap energy when exposed to ionizing radiation. Upon heating, the trapped energy is released as light emission. TLD readers heat the materials and measure the emitted light, producing a glow curve that reflects the absorbed radiation dose. The glow curve peaks correspond to electron traps of different depths within the material's band structure. Multiple trap depths and competing traps can affect the shape of the glow curve and the material's sensitivity.
Operationalizing the Value of MongoDB: The MetLife ExperienceMongoDB
This document summarizes MetLife's experience adopting MongoDB as an enterprise database. It describes MetLife's system architecture choices including geographic placement across data centers, server hardware, storage, and networking configurations. It also discusses how MetLife designed the system for high availability, disaster recovery, security, monitoring, workload management, and automation to meet enterprise standards. Next steps include further automating operations and introducing additional solutions for backup, monitoring integration, workload management, and performance benchmarking.
eBay has been using MongoDB to power several large scale applications due to its ability to scale horizontally and handle high volumes of data and queries. Some key applications summarized include search suggestions which handles high volume lookups, a cloud manager which tracks resource states, and a media metadata store which will store tens of terabytes of image data partitioned across multiple shards. MongoDB provides benefits like flexible schemas, automatic shard rebalancing, and proximity-aware replication which help eBay meet performance and scalability needs for these systems.
This document provides an agenda and overview for a presentation on MDX query language for Essbase databases. It includes definitions of key MDX concepts like cubes, dimensions, and levels. It also describes the basic syntax of MDX queries with examples showing simple select statements with columns and rows axes using crossjoins and slices.
This document provides an overview of Hadoop architecture. It discusses how Hadoop uses MapReduce and HDFS to process and store large datasets reliably across commodity hardware. MapReduce allows distributed processing of data through mapping and reducing functions. HDFS provides a distributed file system that stores data reliably in blocks across nodes. The document outlines components like the NameNode, DataNodes and how Hadoop handles failures transparently at scale.
This document provides an overview and introduction to MongoDB, an open-source, high-performance NoSQL database. It outlines MongoDB's features like document-oriented storage, replication, sharding, and CRUD operations. It also discusses MongoDB's data model, comparisons to relational databases, and common use cases. The document concludes that MongoDB is well-suited for applications like content management, inventory management, game development, social media storage, and sensor data databases due to its flexible schema, distributed deployment, and low latency.
Pig Tutorial | Twitter Case Study | Apache Pig Script and Commands | EdurekaEdureka!
This Edureka Pig Tutorial ( Pig Tutorial Blog Series: https://goo.gl/KPE94k ) will help you understand the concepts of Apache Pig in depth.
Check our complete Hadoop playlist here: https://goo.gl/ExJdZs
Below are the topics covered in this Pig Tutorial:
1) Entry of Apache Pig
2) Pig vs MapReduce
3) Twitter Case Study on Apache Pig
4) Apache Pig Architecture
5) Pig Components
6) Pig Data Model
7) Running Pig Commands and Pig Scripts (Log Analysis)
Spark Streaming | Twitter Sentiment Analysis Example | Apache Spark Training ...Edureka!
This Edureka Spark Streaming Tutorial will help you understand how to use Spark Streaming to stream data from twitter in real-time and then process it for Sentiment Analysis. This Spark Streaming tutorial is ideal for both beginners as well as professionals who want to learn or brush up their Apache Spark concepts. Below are the topics covered in this tutorial:
1) What is Streaming?
2) Spark Ecosystem
3) Why Spark Streaming?
4) Spark Streaming Overview
5) DStreams
6) DStream Transformations
7) Caching/ Persistence
8) Accumulators, Broadcast Variables and Checkpoints
9) Use Case – Twitter Sentiment Analysis
The document provides an overview of HL7 Version 3, including its reference information model (RIM) which defines core classes like Entity, Role, Act, and their relationships. It describes the RIM's object-oriented methodology and backbone classes. The training objectives are to define HL7 terms and concepts, describe its modeling methodology, and introduce HL7 Version 3 at NCICB.
Building an Integrated Healthcare Platform with FHIR®WSO2
Healthcare records are increasingly becoming digitized. As patients move around the healthcare ecosystem, their electronic health records must be available, discoverable, and understandable. Further, to support automated clinical decisions and other machine-based processing, the data must also be structured and standardized. This is becoming a matter of interest for institutes such as government agencies and regional bodies, and we are already seeing rules and regulations come into action. For example, the Centers for Medicare and Medicaid Services (CMS), which is a part of the Department of Health and Human Services (HHS) of the United States, has published the “Interoperability and Patient Access final rule (CMS-9115-F)”. This aims to put patients first by giving them access to their health information when they need it most and in a way they can best use it.
Fast Healthcare Interoperability Resources (FHIR®) is a next-generation standard framework created by HL7 combining the best features of previous HL7 standards. FHIR® leverages the latest web standards and focuses on ease of implementability.
The slides showcase the primary components of FHIR, discover the architectural principles behind its design, and understand implementation considerations.
MapReduce Tutorial | What is MapReduce | Hadoop MapReduce Tutorial | EdurekaEdureka!
The document discusses Hadoop MapReduce and YARN. It provides an overview of MapReduce concepts like parallel processing and data locality. An example of vote counting is used to illustrate the MapReduce approach. Key components of MapReduce like Map, Reduce, and YARN are explained. The YARN application workflow is described through 8 steps from client submission to application completion. Hands-on MapReduce programming and learning resources are also mentioned.
Hadoop is an open-source framework for distributed storage and processing of large datasets across clusters of commodity hardware. It addresses problems with traditional systems like data growth, network/server failures, and high costs by allowing data to be stored in a distributed manner and processed in parallel. Hadoop has two main components - the Hadoop Distributed File System (HDFS) which provides high-throughput access to application data across servers, and the MapReduce programming model which processes large amounts of data in parallel by splitting work into map and reduce tasks.
This document provides an introduction to MongoDB, including what it is, why it may be used, and how its data model works. Some key points:
- MongoDB is a non-relational database that stores data in flexible, JSON-like documents rather than fixed schema tables.
- It offers advantages like dynamic schemas, embedding of related data, and fast performance at large scales.
- Data is organized into collections of documents, which can contain sub-documents to represent one-to-many relationships without joins.
- Queries use JSON-like syntax to search for patterns in documents, and indexes can improve performance.
What Is Hadoop? | What Is Big Data & Hadoop | Introduction To Hadoop | Hadoop...Simplilearn
This presentation about Hadoop will help you understand what is Big Data, what is Hadoop, how Hadoop came into existence, what are the various components of Hadoop and an explanation on Hadoop use case. In the current time, there is a lot of data being generated every day and this massive amount of data cannot be stored, processed and analyzed using the traditional ways. That is why Hadoop can into existence as a solution for Big Data. Hadoop is a framework that manages Big Data storage in a distributed way and processes it parallelly. Now, let us get started and understand the importance of Hadoop and why we actually need it.
Below topics are explained in this Hadoop presentation:
1. The rise of Big Data
2. What is Big Data?
3. Big Data and its challenges
4. Hadoop as a solution
5. What is Hadoop?
6. Components of Hadoop
7. Use case of Hadoop
What is this Big Data Hadoop training course about?
The Big Data Hadoop and Spark developer course have been designed to impart in-depth knowledge of Big Data processing using Hadoop and Spark. The course is packed with real-life projects and case studies to be executed in the CloudLab.
What are the course objectives?
This course will enable you to:
1. Understand the different components of the Hadoop ecosystem such as Hadoop 2.7, Yarn, MapReduce, Pig, Hive, Impala, HBase, Sqoop, Flume, and Apache Spark
2. Understand Hadoop Distributed File System (HDFS) and YARN as well as their architecture, and learn how to work with them for storage and resource management
3. Understand MapReduce and its characteristics, and assimilate some advanced MapReduce concepts
4. Get an overview of Sqoop and Flume and describe how to ingest data using them
5. Create database and tables in Hive and Impala, understand HBase, and use Hive and Impala for partitioning
6. Understand different types of file formats, Avro Schema, using Arvo with Hive, and Sqoop and Schema evolution
7. Understand Flume, Flume architecture, sources, flume sinks, channels, and flume configurations
8. Understand HBase, its architecture, data storage, and working with HBase. You will also understand the difference between HBase and RDBMS
9. Gain a working knowledge of Pig and its components
10. Do functional programming in Spark
11. Understand resilient distribution datasets (RDD) in detail
12. Implement and build Spark applications
13. Gain an in-depth understanding of parallel processing in Spark and Spark RDD optimization techniques
14. Understand the common use-cases of Spark and the various interactive algorithms
15. Learn Spark SQL, creating, transforming, and querying Data frames
Learn more at https://www.simplilearn.com/big-data-and-analytics/big-data-and-hadoop-training
The presentation covers following topics: 1) Hadoop Introduction 2) Hadoop nodes and daemons 3) Architecture 4) Hadoop best features 5) Hadoop characteristics. For more further knowledge of Hadoop refer the link: http://data-flair.training/blogs/hadoop-tutorial-for-beginners/
This document summarizes the new features in DOORS 9.0, including improvements to the user interface, user administration functionality using the Telelogic Directory Server (TDS), and the introduction of DOORS Web Access as an alternative to the DOORS/Net client. Key features include centralized user management, support for enterprise authentication, enhanced traceability through integration with Microsoft Team Foundation Server, and the ability to access DOORS databases from a web browser without installing additional components.
This document discusses document databases and MongoDB. It defines documents as the main concept, which are simply named collections of fields that can be in formats like JSON, XML, or BSON. It covers designing document databases through modeling data as documents, denormalizing or normalizing documents, handling complex relations, indexing, and summarizing. Features of MongoDB like consistency, replication, transactions, availability, querying and scaling are examined. Examples of suitable use cases and when not to use document databases are provided. The document includes samples of documents, architectures, cases for product catalogs and order histories, and MongoDB tools.
This document provides an introduction to NoSQL and MongoDB. It discusses that NoSQL is a non-relational database management system that avoids joins and is easy to scale. It then summarizes the different flavors of NoSQL including key-value stores, graphs, BigTable, and document stores. The remainder of the document focuses on MongoDB, describing its structure, how to perform inserts and searches, features like map-reduce and replication. It concludes by encouraging the reader to try MongoDB themselves.
In this session you will learn:
HIVE Overview
Working of Hive
Hive Tables
Hive - Data Types
Complex Types
Hive Database
HiveQL - Select-Joins
Different Types of Join
Partitions
Buckets
Strict Mode in Hive
Like and Rlike in Hive
Hive UDF
For more information, visit: https://www.mindsmapped.com/courses/big-data-hadoop/hadoop-developer-training-a-step-by-step-tutorial/
Max'ing cmmi benefit extra efficiencies & higher performance v1.0Mark Smith
Accenture has used CMMI on a large scale to improve software engineering effectiveness and efficiency. Some benefits include increased productivity up to 25%, costs of failure cut by two-thirds, and majority of projects now within 10% of plans. Accenture discusses how it realized these high performance benefits through mechanisms like industrialized delivery methods, rapid appraisals, and overcoming challenges like practitioner disbelief and siloed resistance. Looking ahead, Accenture believes CMMI can help organizations maximize their ability to respond to today's dynamic business pressures.
Use Totalview to systematically register and measure staff and company activites in real-time so you can base your business decisions on real-time facts.
Try for free on www.total-view.com to see a fully functional demo of Totalview in action.
The performance management system at Mahindra & Mahindra involves setting goals at all levels of the organization aligned with its strategy, vision, and objectives. Individual goals are set through a process that includes communication workshops, setting key result areas (KRAs) through discussions between managers and employees, mid-term reviews, performance appraisals, and feedback. Performance is evaluated using a balanced scorecard approach across financial, customer, internal process, and learning and development perspectives. The system aims to improve performance, resource allocation, and provide development opportunities for employees.
HR Leadership and Strategy Formation: Walking the Tightrope - by Patrick WrightWaldron
This document discusses HR's role in strategy and managing human frailties that can impact strategic decision making. It examines a case study of Delta Airlines in the 1990s that faced financial challenges and adopted a cost-cutting strategy called "Leadership 7.5" which focused on lowering costs but had unintended consequences. The document discusses how human traits like ego, pride, opportunism and hubris can negatively influence strategy if not properly managed by HR. It provides suggestions for guardrails HR can implement to minimize the impact of these human frailties on strategic decisions.
A lesson on how to conduct Stakeholder Management for a project in any industry. Project stakeholders are extremely important to project success. Knowing how to adequately management their expectations and influence on the project is very essential for the project manager.
The presentation discusses about how procurement function can help companies to get cost savings, the difference between cost savings and cost avoidance, types of cost savings, and examples of ways to achieve cost savings and cost avoidance
Performance Management System Mahindra N Mahindra Ltdalvareena
The performance management system at M&M Ltd begins with setting organizational goals annually based on their strategy and budget. Departmental goals are then set using a balanced scorecard approach across financial, customer, internal processes, and learning/growth perspectives. Individual goals (KRAs) are established through workshops and tied to departmental objectives. Progress is reviewed mid-year and performance is assessed against KRAs and competencies. Ratings determine pay and development feedback is provided to help employees improve.
Performance Management System Mahindra N Mahindra Ltdalvareena
Mahindra & Mahindra Ltd uses a balanced scorecard approach to set goals at both the departmental and individual level. The performance management process involves setting key result areas (KRAs) for each employee through a workshop. Progress is reviewed mid-year and performance is appraised at the end of the year based on achieving KRAs and competencies. The overall performance rating is used to determine performance pay with consideration given to both business and individual performance.
Google provides many benefits to its employees including $8,000 per year for continuing education, $5,000 for adopting a child, and up to $2.5 lakh for staying at Google for one year. It offers over 120 hours of training per year and receives 2 million job applications annually. Google has a flat, non-hierarchical structure and open culture that values fairness. It offers amenities like on-site doctors, gyms, massages, shuttles, and free gourmet food. Performance reviews use a 360 degree feedback system. Training includes on-the-job, classroom, and lectures. Employees are paid above market rates but performance improvement plans exist for low performers. Benefits include unlimited sick
Procurement dari cost centre menjadi profit centre
Dengan harga harga yang meningkat, namun pendapatan tidak bertambah, strategy cost saving menjadi strategi ujung tombak menjaga profit suatu perusahaan. Procurement cost saving strategy menjadi pilihan yang utama, mengingat procurement menangani 60-80% spending perusahaan (direct & indirect). Peran procurement menjadi semakin strategis, signifikan dan berubah dari cost centre menjadi profit centre.
PMP Chap 13 - Project stakeholder management OverviewAnand Bobade
PMP Chap 13 - Project stakeholder management Overview
When working on a project, there are many people or organizations that are dependent on and/or are affected by the final product or output. These people are the stakeholders of a project.
Stakeholder management involves taking into consideration the different interests and values stakeholders have and addressing them during the duration of the project to ensure that all stakeholders are happy at the end.
This branch of management is important because it helps an organization to achieve its strategic objectives by involving both the external and internal environments and by creating a positive relationship with stakeholders through good management of their expectations.
Stakeholder management is also important because it helps identify positive existing relationships with stakeholders. These relationships can be converted to coalitions and partnerships, which go on to build trust and encourage collaboration among the stakeholders.
Accenture is a global management consulting and professional services firm with revenues of $21.55 billion in fiscal year 2010. It has approximately 204,000 employees across more than 200 cities in 53 countries. In India, Accenture has over 42,000 employees and has been offering management consulting services since 1987. Accenture is recognized as a global leader, ranking highly in various lists and studies, and is also recognized for being a great employer and good corporate citizen. It works with many of the world's largest companies and seeks entry-level candidates with a passion for technology, strong communication skills, analytical problem-solving abilities, and a team-oriented mindset.
The Agile Stakeholder Management Framework for Teams, Programs, and PortfoliosDrew Jemilo
Stakeholder management is one of the most important responsibilities of a Product Owner. It can also be one of the biggest land mines if you don't continuously inspect and adapt your planning and communication. How do you interact with your stakeholders based on their level of interest and the degree of influence they have over your team's success or failure? In this session, you will learn how to apply the stakeholder management framework to:
1. Identify, analyze, prioritize, and engage your stakeholders
2. Manage expectations through the continuous process of setting expectations, acting on them, reviewing them, and resetting them
3. Build your communication plan using the stakeholder mapping technique and the Net Promoter Score (NPS) to plot your sponsors, major stakeholders, minor stakeholders, and subject matter experts
4. Gain consensus with your stakeholders regarding their rights and responsibilities
5. Scale to the program and portfolio levels
Originally presented at Agile2012
http://agile2012.agilealliance.org/program/schedule/
This document discusses project stakeholder management. It describes the key processes as identify stakeholders, plan stakeholder management, manage stakeholder engagement, and control stakeholder engagement. The processes aim to effectively engage stakeholders throughout the project life cycle to increase the chances of project success. Identifying stakeholders involves analyzing who could impact or be impacted by the project. Planning stakeholder management develops strategies to engage stakeholders based on their needs and potential impact. Managing engagement involves communicating with stakeholders and addressing issues. Controlling engagement monitors stakeholder relationships and makes adjustments as needed.
The document provides an overview of the Mahindra & Mahindra Group, an Indian multinational conglomerate. Some key points:
- Founded in 1945, Mahindra has grown to a $15.4 billion business with over 144,000 employees across multiple sectors including automobiles, technology, energy, finance, and more.
- Its core automobile business includes production of passenger and commercial vehicles, tractors, and two-wheelers. It has a 6.5% market share in passenger vehicles in India.
- Mahindra has pursued diversification through both related diversification leveraging synergies across sectors, and unrelated diversification into new sectors like IT, infrastructure, hospitality
1) Freeman's (1984) stakeholder theory identifies four categories of stakeholders based on their power and interest: defensive, offensive, swing, and hold. It suggests different strategies for managing each type.
2) Savage et al. (1991) builds on this model by categorizing stakeholders into four types based on their potential for threat and cooperation: supportive, marginal, non-supportive, and mixed blessing.
3) Mitchell et al. (1997) proposes that stakeholders are prioritized based on their power, legitimacy, and urgency, with highly salient stakeholders possessing all three attributes.
5 Ways to Give Feedback that Elicits Real ChangeBambooHR
Employees want to receive feedback, but the way that managers interpret this widely varies. This slideshare helps define a feedback process that drives organizational success and allows for real change.
11 Stats You Didn’t Know About Employee RecognitionOfficevibe
Recognizing employees is one of the most overlooked facets of managements that even great leaders sometimes forget about. Without a good employee recognition strategy, people will feel unappreciated and build up stress.
In fact, the number 1 reason why most Americans leave their jobs is that they don’t feel appreciated . The last thing you want is to have high employee turnover because of poor employee recognition.
Officevibe put together some incredible statistics about employee recognition.
Read more on Officevibe blog:
https://www.officevibe.com/blog/employee-recognition-infographic
Learn more about Officevibe, the simplest tool for a greater workplace:
https://www.officevibe.com/
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The document discusses various aspects of performance appraisal including definitions, objectives, processes, methods, issues, advantages, and disadvantages. Specifically, it defines performance appraisal as evaluating an employee's job performance and sharing feedback to improve. It lists objectives for both employees and organizations. It outlines the typical performance appraisal process and describes traditional and modern methods like graphic rating scales, forced choice, critical incidents, field review, behavioral anchored rating scales, and 360 degree/MBO approaches. It also notes some common issues and both advantages like motivating employees and disadvantages like potential bias.
The document discusses several aspects of human resource practices that are important for business success. It emphasizes that talent is a critical resource for innovation, world-class processes, and building strong brands. It also discusses the need for world-class HR practices to win the "war for talent" and compete in today's global market where customers demand continuous improvement. Finally, it outlines several domains of HR capability that are required, including strategies aligned with business goals, developing skills and engaging employees, compensation practices, and delivering excellent service.
There are many advantages to being recognised as an employer of choice. The first step is to diagnose the organisation before building a step-by-step approach to having a more engaged workforce. This approach is different to all the other approaches and way more effective. It starts with building a culture of a better employment relationship.
By the end of this broadcast, you will be able to:
• Understand the most constructive way forward for changing the culture of a workplace;
• Apply a range of effective strategies to enhance the culture that is reflective of an employer of choice; and
• Appreciate the value and importance of changing the employment relationship as a way to become a true employer of choice.
Talent management involves developing and implementing strategies to ensure an organization has employees with the necessary skills, knowledge and traits to achieve business objectives. It includes competency-based hiring, developing talent through training and coaching, performance management, and succession planning. When business and talent strategies are aligned, it can result in exceptional organizational performance.
Talent management involves developing and implementing strategies to ensure an organization has employees with the necessary skills, knowledge and traits to achieve business objectives. This includes activities like competency modeling, assessments, performance management, coaching and development planning. When business and talent strategies are aligned, it can result in exceptional performance through having the right people in place.
Talent management involves processes to increase value from human capital, including goal alignment, candidate selection, performance management, employee development, and rewards. It aims to have a workforce that is suitable, engaged, flexible, productive. Good talent management involves ownership across levels, business objectives guiding the system, measuring results in business terms, hiring the right people and helping them advance. Effective talent management identifies key roles, assesses talent management skills, measures the right things, and provides process-wide feedback. It focuses on aligning people to motivating work, providing coaching/mentoring, and developing critical skills. Talent acquisition moves beyond filling roles to proactively building needed skillsets, and retaining top performers who may not be actively looking
The document discusses various topics related to human resource management including the functions and remit of HRM, changing patterns of employment, reasons for subcontracting, human resource planning, recruitment, selection, training, staff development, employee relations, and relevant legislation. Key areas covered are the role of HRM in promoting staff development and managing employee relations, Maslow's hierarchy of needs, methods of motivation, internal and external recruitment, selection techniques like interviews and tests, types of training, performance appraisal, the role of trade unions and collective bargaining, grievance procedures, and major employment laws.
Sample outline of a companies hr policyTanuj Poddar
This document provides guidance and sample policies for developing a career pathing and development program. It discusses the importance of aligning such a program with company objectives and strategies. Sample policies cover topics like recruitment, induction, performance appraisal, recognition, training, and variable compensation. Additional resources are provided on developing career bands based on competencies, succession planning, and integrating career planning into performance management. The document aims to help companies create effective programs that support employees' professional growth while helping the organization meet its goals.
PeopleFirm is a consultancy focused on helping clients achieve a competitive advantage through their people. They assess talent management options and design people strategies to improve organizational performance. PeopleFirm offers services in organizational performance, talent management, people strategy, and change management to align a company's human resources with its business strategy.
Quality Improvement In Supervision And HiringRosa West
The document discusses creating a culture of quality among staff. It recommends focusing on recruiting and hiring the right employees with the right character. It also recommends following Kotter's 8 step change model to communicate and implement a new vision. This includes removing obstacles, celebrating short-term wins, and anchoring changes in the organizational culture through ongoing training, accountability, and emphasis on interdependent partnerships. The goal is to retain good employees by showing how each job contributes to overall success.
This document discusses strategies for improving recruitment and retention in education. It recommends analyzing retention rates and exit interviews to understand why teachers leave. Recruitment strategies should include goals, sources, and measures. An employee value proposition outlines benefits like career growth, pay, work environment and culture. Innovative recruitment uses videos and mixed media to attract candidates. Adjusting hiring criteria and reducing time-to-hire also improves recruitment. Ideas to boost retention include growth opportunities, flexible working and mentoring. Rushing decisions risks bad hires or fairness issues.
The document discusses several topics related to human resources and organizational strategy. It first discusses determining a company's health and wellness needs through assessing organizational needs. It then discusses strategic goals and how an HR strategy should aim to ensure the organization has the right people, skills, attitudes and employee development. The document also discusses the importance of integrating the HR strategy with broader organizational objectives and gaining organizational acceptance of the strategy.
This document discusses career management in three parts. It first defines key terms like career, career planning, and development. It then outlines the traditional stages of a career from exploration to decline. Finally, it discusses the roles and responsibilities of individuals, managers, and organizations in career development and planning. The key roles include assessing interests, setting goals, providing feedback and opportunities for growth, and supporting employees' development plans. Overall, the document provides an overview of concepts and best practices for managing careers at both the individual and organizational level.
This document discusses attraction and commitment drivers in the New Zealand state sector. It presents survey results showing the most important attraction and commitment drivers for employees. These include manager quality, development opportunities, compensation, and work-life balance. The document also discusses definitions of engagement, models of engagement, and factors that can improve engagement such as leadership, communication, career development and recognition.
This document discusses how HR practices need to adapt to agile organizations. Some key points:
- HR must shift from standardization to promoting flexibility and adaptability. Recruitment should focus on finding diverse, resilient candidates who can work well in cross-functional teams.
- Training and development needs to educate all levels on agile values and expectations. Performance management should provide ongoing feedback and reward employees based on impact rather than hours worked.
- Agile HR practices include transparent talent information, measuring performance by output not hours, facilities for collaboration, and being prepared for organizational changes. 360 degree feedback from multiple sources provides a more comprehensive view of performance.
Literature ReviewThe role of a Human Resource department is ev.docxSHIVA101531
Literature Review
The role of a Human Resource department is ever changing in today’s volatile business environment. Over the years HR have become a strong strategic partner within an organization by providing functions such as recruitment, training and development and retention. Human Resources in order to be strategic works directly with all levels of management in an effort to help with strategy and the growth of the company to meet their vision. One very important aspect is talent acquisition. Having the right people in key roles within the company is vital to the success and growth. Performing this function includes preparing a job description, recruiting, and then setting compensation. Then a crucial tool used by many HR departments is the process of job evaluations and performance reviews.
Method of Job Analysis
When a new job is created or a vacancy occurs, it is the role of a HR representative to fill that void. In order to perform this function they need to first understand what role they are trying fill and what skills and responsibilities this new role would require. By conducting a job analysis they are able to further define an important elements of any job and then search for the person or people that are a good fit for the company. As important as it is to perform a job analysis before looking for that new candidate, it is equally as important to select the correct job analysis method. Some popular job analysis methods are Observation, Individual Interview and Structured Questionnaires. Organizations choose methods based on various guidelines that are all link to the job responsibilities, company culture and size of the organization. Each organization must select which methods are the best match for their candidate search. The Observation method includes studying someone while they perform their job in an effort to better understand the tasks and duties necessary to this particular job. The advantages are, the observer can obtain first hand knowledge and information about the job being analyzed. This can provide an accurate picture of the candidate ability to do the job at hand. Other Job Analysis methods such as the interview or questionnaire only allow HR to indirectly obtain this information. With other methods there is a risk of omissions or exaggerations are introduced either by the incumbent being interviewed or by items on the questionnaire.
The next method is the Interview method; this method involves conducting interviews of the person leaving this position to gain insights into what duties they perform. Interviews can also be conducted on other employees performing the same job but in most cases start with the HR manager. The advantages are that it allows the incumbent to describe tasks and duties that are not observable. The disadvantage is the candidate can exaggerate or omit tasks and duties. The interviewer must be skilled and ask the proper questions.
The Structured Questionnaire method uses a standardized ...
The document provides an overview of human resource management (HRM) policies and practices. It discusses key topics such as human resource planning, recruitment and selection, training and development, performance appraisal, and employee relations. The summary highlights that HRM involves developing strategies and policies to manage people for business performance. It also notes that training, performance reviews, and maintaining good employee relations are important aspects of HRM.
This presentation examines the reasons for staff turnover, identifies the costs to the business of this turnover and gives practical tips to maximize staff retention.
Effects Of Hr Practices On Organizational PerformancePatricia Johnson
The document discusses how effective human resource practices can benefit an organization, noting that recruitment and selection, employee relations, and compensation and benefits are key HR disciplines where best practices can provide the highest return on investment. It also defines human resource management as the logic, systems, strategies, and practices related to managing an organization's employees in a way that engages, develops, motivates, and retains a high-performing workforce to achieve organizational success. The document appears to analyze HR practices at Nestle Bangladesh Ltd.
Transformation Of HR at AgustaWestland-PhiladelphiaSal LoDico
The document discusses the transformation of the human resources (HR) function from an administrative role to a strategic business partner. It describes how HR must shift its focus from functional activities to creating business value by achieving desired organizational outcomes through people. The document outlines the evolving roles and competencies needed for HR, such as understanding business strategies, serving as change agents, and demonstrating how HR contributes to business success through metrics.
Effective Implementation of Psychometrics in Talent Acquisition and Management The HR Observer
Ever bring on a new employee, only to realise by the end of the first week that this new hire was a huge mistake? Every organisation is unique and has a DNA of its own. To build great teams, you must hire the right talent and make sure you manage and nurture this talent to its fullest potential. This journey begins with the “Job fit” concept which is critical to ensure maximum productivity, employee motivation and job satisfaction. You will learn how to select the right assessment tool and ensure effective integration of psychometrics into your recruitment process.
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Personalizing Talent Management and the Mass Customization of People Practices
1. Workforce of One Revolutionizing Talent Management through Customization Susan M. Cantrell Personalizing Talent Management and the Mass Customization of People Practices CHO Group Session January 12, 2011
11. Business benefits can be achieved through customization for both customers and employees Benefits of customer customization Benefits of employee customization Increased revenues Increased workforce performance & productivity Improved customer satisfaction Improved employee engagement Attract & acquire the most profitable customers Attract & hire the most talented employees More effective use of marketing resources More effective use of HR resources Flexibly respond to changing consumer tastes Flexibly respond to changing employee tastes Create a competitive customer advantage Create a competitive talent advantage
12. A look at the data…improved business results start with improved employee performance My performance would improve at an organization where the following are customized: Workforce of One Survey, 2008 n=557 When I work Where I work My benefits My compensation My incentives My performance appraisal My learning My career path My job responsibilities My organization's recruiting approach My organization’s hiring decisions 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
13. Customization also helps organizations attract and retain the best talent I would be attracted to and more likely to remain at an organization where the following are customized: When I work Where I work My benefits My compensation My incentives My performance appraisal My learning My career path My job responsibilities My organization's recruiting approach My organization’s hiring decisions Workforce of One Survey, 2008 n=557 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
14. Yet few employees believe their organization provides relevant, tailored HR practices My organization’s human resources practices are highly relevant The human resources department significantly supports and improves my performance at work strongly agree agree neither agree nor disagree disagree strongly disagree
16. Catalysts for customization 2 3 4 5 6 1 Workforce of One Technology now enables customization Employees are customers too Knowledge work is changing HR fundamentally The C-Suite now cares about workforce performance Competition for talent will only get tougher Today’s workforce is getting increasingly diverse
17.
18. “ If companies can figure out a way to acknowledge and respect the uniqueness of each person – and then figure out how to do that in a reliable and scalable way – we will make an enormous impact on individual employees’ success and on our companies’ collective success. The paradox is that we need to establish a norm that is itself abnormal .” – Joe Kalkman, Leader of HR Centers of Excellence, Best Buy
19. The four workforce of one customization approaches HR creates HR creates HR creates HR supports A variety of practices A variety of options A broad and simple rule with clear boundaries which can be interpreted in a variety of ways by each individual Individuals in defining their own personalized people practices from which all individuals can choose customized for specific groups of individuals Group A Group B Group C HR-Driven customization (More control; Less customization) Employee-driven customization (Less control; More customization) Segment the workforce Offer modular choices Define broad and simple rules Foster employee-defined personalization
20.
21. Spanish bank Banesto segments its employees just as it segments its customers Segmentation for retail banking staff Board Premier Executives Other Executives Branch Managers Admin / Sales NEW ENTRIES LOW PERFORMERS PROGRESS POTENTIAL EXPERIENCIED HIRES NEW HIRES LOW PERFORMERS STANDARD PROGRESS HIGH POTENTIALS TALENT MAP
22. Ways to segment Healthy & Happy or Stressed & Burned Out? or Motivations Employee demographic Generation, Life stage, Gender, Ethnicity, Education level Employee relationship to the company Tenure in the organization, Professional stage, Level, Employee vs. contractor Geography Region, Country, City Work roles Nature of work, Workforce, Profession Value High potential, High performing, Most critical, Most sought after Personality Learning or thinking style, Relationship or networking style, Strengths Health Mental health, Physical health Values and behavior Engagement, Meaning and value of work, Most likely to leave, Mobility Intended hires As a segment by itself, By any segmentation scheme described above
23.
24. Ways to offer modular choices Learning Style Choice in job activities JOB Choice in learning JOB Learning Modular chunks to be configured at will, Choices in learning channels Place Office/Home/Satellite Center/The Road, Menu of choice places in the office Work activities Disaggregation into small modular tasks, Menu of optional assignments Rewards/Recognition Menu of choices Performance appraisals Assessment criteria options Compensation Menu of choices Benefits Cafeteria benefits plans, Build-your-own health plans, Total rewards plans Time Schedule, Career break, or Pace of promotion option Career development Dual career paths, Next job choices, Choice of starting over on a new path Technology Menu of choices
25.
26.
27. Ways to make rules broad and simple Broadly define a job Mold the job to fit the person’s passions/ strengths Instead of molding the person to fit the job… Define results, not time or place Working anywhere, anytime… … frees people from the time clock Work place and time Define results, not time or place Competency management Define competencies by values or outcomes Rewards Let the manager allocate rewards Jobs Broadly define a job rather than by narrow tasks Time off Define paid time off Performance appraisals Cascade your performance goals Hiring Hire the whole person Compensation Use broadband pay schemes or broadly define pay by contribution to the business Career development Broadly define career trajectories and base promotions on contribution
28.
29.
30. “ We do what works for us; the same customization approach probably won’t work for everyone.” – Charlie Bresler, former President of Men’s Wearhouse and Current VP of HR and Marketing
31. Each workforce of one customization approach varies in key areas Degree of customization Ability to cope with change Resources required (HR/Employees) Control Perceived fairness Low Very high More/Less More/Less Less/More Less/More Segmentation Modular choices Broad and simple rules Employee-defined personalization
32. Case studies of workforce of one in action The broad and simple rules plus employee-defined personalization model The broad and simple rules only model The four approach model Low High Customization approach Segmentation Modular choices Broad and simple rules Employee-defined personalization
33.
34. Workforce of One challenges and solutions Fairness Privacy Control Alignment with Business Strategy