Building an Effective Data Warehouse ArchitectureJames Serra
Why use a data warehouse? What is the best methodology to use when creating a data warehouse? Should I use a normalized or dimensional approach? What is the difference between the Kimball and Inmon methodologies? Does the new Tabular model in SQL Server 2012 change things? What is the difference between a data warehouse and a data mart? Is there hardware that is optimized for a data warehouse? What if I have a ton of data? During this session James will help you to answer these questions.
The new Microsoft Azure SQL Data Warehouse (SQL DW) is an elastic data warehouse-as-a-service and is a Massively Parallel Processing (MPP) solution for "big data" with true enterprise class features. The SQL DW service is built for data warehouse workloads from a few hundred gigabytes to petabytes of data with truly unique features like disaggregated compute and storage allowing for customers to be able to utilize the service to match their needs. In this presentation, we take an in-depth look at implementing a SQL DW, elastic scale (grow, shrink, and pause), and hybrid data clouds with Hadoop integration via Polybase allowing for a true SQL experience across structured and unstructured data.
Explain about power BI Overview from Power BI Desktop, Power BI Service, Power BI Report Server and Power BI Mobile that consume all BI Data from Dataset and datamodel
Power BI has in its DNA the goal of enabling everybody to experience their data any way, anywhere—in seconds and at global scale.
Power BI offers a set of capabilities that are uniquely enabled by its global and cloud nature:
The ability to harness data from Excel spreadsheets, on-premises data sources through the data gateway, big data, streaming data, and cloud services. It doesn’t matter what type of data you want or where it lives, Power BI allows you to connect to hundreds of data sources.
Out-of-the box SaaS content packs that deliver a curated experience with pre-built dashboards to get you up and running quickly. We have hundreds of ISVs building content packs to cater to the needs of millions of Power BI users.
Unmatched, unique ways for users to experience their data with speed and agility:
Live dashboards that maintain a real-time pulse on the business and provide critical insights.
Natural language query that enables users to simply and intuitively ask questions of their data, including through Cortana.
Custom visuals that bring data to life and surface intelligence hidden in the sea of data, with our community leveraging the Power BI visualization stack to create new ways to visualize data in a way that makes more sense. (Now available in the Office store.)
Integration of Power BI with the Microsoft stack. Power BI is part of larger ecosystem that integrates with services like Microsoft Teams, Office 365, and Dynamics 365. These services are aware of Power BI, are wired to Power BI, and enable you to use Power BI in the context of your work.
Anywhere access to insights. Whether in the office or on-the-go, Power BI provides anywhere access to insights with dashboards accessible via the desktop, on the web, or across mobile devices. Inside Excel, embedded—we have hundreds of ISVs embedding Power BI in their offerings.
Databricks CEO Ali Ghodsi introduces Databricks Delta, a new data management system that combines the scale and cost-efficiency of a data lake, the performance and reliability of a data warehouse, and the low latency of streaming.
Building an Effective Data Warehouse ArchitectureJames Serra
Why use a data warehouse? What is the best methodology to use when creating a data warehouse? Should I use a normalized or dimensional approach? What is the difference between the Kimball and Inmon methodologies? Does the new Tabular model in SQL Server 2012 change things? What is the difference between a data warehouse and a data mart? Is there hardware that is optimized for a data warehouse? What if I have a ton of data? During this session James will help you to answer these questions.
The new Microsoft Azure SQL Data Warehouse (SQL DW) is an elastic data warehouse-as-a-service and is a Massively Parallel Processing (MPP) solution for "big data" with true enterprise class features. The SQL DW service is built for data warehouse workloads from a few hundred gigabytes to petabytes of data with truly unique features like disaggregated compute and storage allowing for customers to be able to utilize the service to match their needs. In this presentation, we take an in-depth look at implementing a SQL DW, elastic scale (grow, shrink, and pause), and hybrid data clouds with Hadoop integration via Polybase allowing for a true SQL experience across structured and unstructured data.
Explain about power BI Overview from Power BI Desktop, Power BI Service, Power BI Report Server and Power BI Mobile that consume all BI Data from Dataset and datamodel
Power BI has in its DNA the goal of enabling everybody to experience their data any way, anywhere—in seconds and at global scale.
Power BI offers a set of capabilities that are uniquely enabled by its global and cloud nature:
The ability to harness data from Excel spreadsheets, on-premises data sources through the data gateway, big data, streaming data, and cloud services. It doesn’t matter what type of data you want or where it lives, Power BI allows you to connect to hundreds of data sources.
Out-of-the box SaaS content packs that deliver a curated experience with pre-built dashboards to get you up and running quickly. We have hundreds of ISVs building content packs to cater to the needs of millions of Power BI users.
Unmatched, unique ways for users to experience their data with speed and agility:
Live dashboards that maintain a real-time pulse on the business and provide critical insights.
Natural language query that enables users to simply and intuitively ask questions of their data, including through Cortana.
Custom visuals that bring data to life and surface intelligence hidden in the sea of data, with our community leveraging the Power BI visualization stack to create new ways to visualize data in a way that makes more sense. (Now available in the Office store.)
Integration of Power BI with the Microsoft stack. Power BI is part of larger ecosystem that integrates with services like Microsoft Teams, Office 365, and Dynamics 365. These services are aware of Power BI, are wired to Power BI, and enable you to use Power BI in the context of your work.
Anywhere access to insights. Whether in the office or on-the-go, Power BI provides anywhere access to insights with dashboards accessible via the desktop, on the web, or across mobile devices. Inside Excel, embedded—we have hundreds of ISVs embedding Power BI in their offerings.
Databricks CEO Ali Ghodsi introduces Databricks Delta, a new data management system that combines the scale and cost-efficiency of a data lake, the performance and reliability of a data warehouse, and the low latency of streaming.
Unified Big Data Processing with Apache Spark (QCON 2014)Databricks
While early big data systems, such as MapReduce, focused on batch processing, the demands on these systems have quickly grown. Users quickly needed to run (1) more interactive ad-hoc queries, (2) sophisticated multi-pass algorithms (e.g. machine learning), and (3) real-time stream processing. The result has been an explosion of specialized systems to tackle these new workloads. Unfortunately, this means more systems to learn, manage, and stitch together into pipelines. Spark is unique in taking a step back and trying to provide a *unified* post-MapReduce programming model that tackles all these workloads. By generalizing MapReduce to support fast data sharing and low-latency jobs, we achieve best-in-class performance in a variety of workloads, while providing a simple programming model that lets users easily and efficiently combine them.
Today, Spark is the most active open source project in big data, with high activity in both the core engine and a growing array of standard libraries built on top (e.g. machine learning, stream processing, SQL). I'm going to talk about the latest developments in Spark and show examples of how it can combine processing algorithms to build rich data pipelines in just a few lines of code.
Talk by Databricks CTO and Apache Spark creator Matei Zaharia at QCON San Francisco 2014.
The world of data architecture began with applications. Next came data warehouses. Then text was organized into a data warehouse.
Then one day the world discovered a whole new kind of data that was being generated by organizations. The world found that machines generated data that could be transformed into valuable insights. This was the origin of what is today called the data lakehouse. The evolution of data architecture continues today.
Come listen to industry experts describe this transformation of ordinary data into a data architecture that is invaluable to business. Simply put, organizations that take data architecture seriously are going to be at the forefront of business tomorrow.
This is an educational event.
Several of the authors of the book Building the Data Lakehouse will be presenting at this symposium.
Business Intelligence (BI) and Data Management Basics amorshed
A one-day training course on the Concepts of Data Management and Business Intelligence (BI) in the DX age
A Basic Review of BI and DM
How to Implement BI
A review of BI Tools and 2022 Gartner Quadrant Magic
Basics of Data warehouse (DWH)
An introductions to Power BI
Components of Power BI
Steps for BI Implementation
Data Culture
Intro to ETL and ELT
OLAP files and Architecture
Digital transformation or DX review
A glance at DMBOK2.0 framework
BI Challenges
Data Governance
Data Integration
Data Security and Privacy in DMBOK2.0
Data-Driven Organization
Data and BI Maturity Model
Traditional BI
Self-service BI
who is DMP
who is BI developer
what is Metadata
what is Master data
Data Quality
Data Literacy
Benefits of BI
BI features
How does BI Works?
Modern BI
Data Analytics
BI Architecture
Data Types
Data Lake
Data Mart
Data Silo
Data Visualization
Power BI Architecture and components
Data Lakehouse, Data Mesh, and Data Fabric (r2)James Serra
So many buzzwords of late: Data Lakehouse, Data Mesh, and Data Fabric. What do all these terms mean and how do they compare to a modern data warehouse? In this session I’ll cover all of them in detail and compare the pros and cons of each. They all may sound great in theory, but I'll dig into the concerns you need to be aware of before taking the plunge. I’ll also include use cases so you can see what approach will work best for your big data needs. And I'll discuss Microsoft version of the data mesh.
BI: new of the buzz words that everyone is talking about but what is it? How can it be used to make a impact in my organization? How do I get started? In this session, we will talk about it and show you a live example in Office 365's SharePoint Online.
Objectives/Outcomes: In this session, participants will learn:
1. What is BI
2. What is Microsoft's Power BI
3. Case Studies
4. How can I get it
Want to see a high-level overview of the products in the Microsoft data platform portfolio in Azure? I’ll cover products in the categories of OLTP, OLAP, data warehouse, storage, data transport, data prep, data lake, IaaS, PaaS, SMP/MPP, NoSQL, Hadoop, open source, reporting, machine learning, and AI. It’s a lot to digest but I’ll categorize the products and discuss their use cases to help you narrow down the best products for the solution you want to build.
Databricks is a Software-as-a-Service-like experience (or Spark-as-a-service) that is a tool for curating and processing massive amounts of data and developing, training and deploying models on that data, and managing the whole workflow process throughout the project. It is for those who are comfortable with Apache Spark as it is 100% based on Spark and is extensible with support for Scala, Java, R, and Python alongside Spark SQL, GraphX, Streaming and Machine Learning Library (Mllib). It has built-in integration with many data sources, has a workflow scheduler, allows for real-time workspace collaboration, and has performance improvements over traditional Apache Spark.
Embarking on building a modern data warehouse in the cloud can be an overwhelming experience due to the sheer number of products that can be used, especially when the use cases for many products overlap others. In this talk I will cover the use cases of many of the Microsoft products that you can use when building a modern data warehouse, broken down into four areas: ingest, store, prep, and model & serve. It’s a complicated story that I will try to simplify, giving blunt opinions of when to use what products and the pros/cons of each.
Tomer Shiran est le fondateur et chef de produit (CPO) de Dremio. Tomer était le 4e employé et vice-président produit de MapR, un pionnier de l'analyse du Big Data. Il a également occupé de nombreux postes de gestion de produits et d'ingénierie chez IBM Research et Microsoft, et a fondé plusieurs sites Web qui ont servi des millions d'utilisateurs. Il est titulaire d'un Master en génie informatique de l'Université Carnegie Mellon et d'un Bachelor of Science en informatique du Technion - Israel Institute of Technology.
Le Modern Data Stack meetup est ravi d'accueillir Tomer Shiran. Depuis Apache Drill, Apache Arrow maintenant Apache Iceberg, il ancre avec ses équipes des choix pour Dremio avec une vision de la plateforme de données “ouverte” basée sur des technologies open source. En plus, de ces valeurs qui évitent le verrouillage de clients dans des formats propriétaires, il a aussi le souci des coûts qu’engendrent de telles plateformes. Il sait aussi proposer un certain nombre de fonctionnalités qui transforment la gestion de données grâce à des initiatives telles Nessie qui ouvre la route du Data As Code et du transactionnel multi-processus.
Le Modern Data Stack Meetup laisse “carte blanche” à Tomer Shiran afin qu’il nous partage son expérience et sa vision quant à l’Open Data Lakehouse.
Power BI has become a product with a ton of exciting features. This presentation will give an overview of some of them, including Power BI Desktop, Power BI service, what’s new, integration with other services, Power BI premium, and administration.
The Institution's Innovation Council (Ministry of HRD initiative) and the Institution of Electronics and Telecommunication Engineers (IETE) invited me to grace "World Telecommunication & Information Society Day" on 18 May 2020.
As we move from experience and intuition based decision making to factual decision making, it is increasingly important to capture data and store it in a way that allows us to make smarter decisions. This is where Data warehouse/Business Intelligence comes into picture. There is a huge demand for There is a huge demand for Business Intelligence professionals and this course acts as a foundation which opens the door to a variety of opportunities in Business Intelligence space. Though there are many vendors providing BI tools, very few of them provide end-end BI suite and huge customer base. Microsoft stands as leader with its user-friendly and cost effective Business Intelligence suite helping customers to get a 360 degree view of their businesses.
Webinar: Microsoft SharePoint-The Ultimate Enterprise Collaboration PlatformEdureka!
SharePoint is a web application framework and platform. SharePoint integrates intranet, content management, and document management.SharePoint is mostly used by midsize businesses and large departments. SharePoint comprises a multipurpose set of Web technologies backed by a common technical infrastructure.
Topics covered:
1. Demystify Microsoft SharePoint Server
2. SharePoint evolution; Opportunities for developers using SharePoint technologies
3.Cloud App model and Apps in SharePoint 2013
4. Use Case : Provider Hosted and Auto Hosted App
Unified Big Data Processing with Apache Spark (QCON 2014)Databricks
While early big data systems, such as MapReduce, focused on batch processing, the demands on these systems have quickly grown. Users quickly needed to run (1) more interactive ad-hoc queries, (2) sophisticated multi-pass algorithms (e.g. machine learning), and (3) real-time stream processing. The result has been an explosion of specialized systems to tackle these new workloads. Unfortunately, this means more systems to learn, manage, and stitch together into pipelines. Spark is unique in taking a step back and trying to provide a *unified* post-MapReduce programming model that tackles all these workloads. By generalizing MapReduce to support fast data sharing and low-latency jobs, we achieve best-in-class performance in a variety of workloads, while providing a simple programming model that lets users easily and efficiently combine them.
Today, Spark is the most active open source project in big data, with high activity in both the core engine and a growing array of standard libraries built on top (e.g. machine learning, stream processing, SQL). I'm going to talk about the latest developments in Spark and show examples of how it can combine processing algorithms to build rich data pipelines in just a few lines of code.
Talk by Databricks CTO and Apache Spark creator Matei Zaharia at QCON San Francisco 2014.
The world of data architecture began with applications. Next came data warehouses. Then text was organized into a data warehouse.
Then one day the world discovered a whole new kind of data that was being generated by organizations. The world found that machines generated data that could be transformed into valuable insights. This was the origin of what is today called the data lakehouse. The evolution of data architecture continues today.
Come listen to industry experts describe this transformation of ordinary data into a data architecture that is invaluable to business. Simply put, organizations that take data architecture seriously are going to be at the forefront of business tomorrow.
This is an educational event.
Several of the authors of the book Building the Data Lakehouse will be presenting at this symposium.
Business Intelligence (BI) and Data Management Basics amorshed
A one-day training course on the Concepts of Data Management and Business Intelligence (BI) in the DX age
A Basic Review of BI and DM
How to Implement BI
A review of BI Tools and 2022 Gartner Quadrant Magic
Basics of Data warehouse (DWH)
An introductions to Power BI
Components of Power BI
Steps for BI Implementation
Data Culture
Intro to ETL and ELT
OLAP files and Architecture
Digital transformation or DX review
A glance at DMBOK2.0 framework
BI Challenges
Data Governance
Data Integration
Data Security and Privacy in DMBOK2.0
Data-Driven Organization
Data and BI Maturity Model
Traditional BI
Self-service BI
who is DMP
who is BI developer
what is Metadata
what is Master data
Data Quality
Data Literacy
Benefits of BI
BI features
How does BI Works?
Modern BI
Data Analytics
BI Architecture
Data Types
Data Lake
Data Mart
Data Silo
Data Visualization
Power BI Architecture and components
Data Lakehouse, Data Mesh, and Data Fabric (r2)James Serra
So many buzzwords of late: Data Lakehouse, Data Mesh, and Data Fabric. What do all these terms mean and how do they compare to a modern data warehouse? In this session I’ll cover all of them in detail and compare the pros and cons of each. They all may sound great in theory, but I'll dig into the concerns you need to be aware of before taking the plunge. I’ll also include use cases so you can see what approach will work best for your big data needs. And I'll discuss Microsoft version of the data mesh.
BI: new of the buzz words that everyone is talking about but what is it? How can it be used to make a impact in my organization? How do I get started? In this session, we will talk about it and show you a live example in Office 365's SharePoint Online.
Objectives/Outcomes: In this session, participants will learn:
1. What is BI
2. What is Microsoft's Power BI
3. Case Studies
4. How can I get it
Want to see a high-level overview of the products in the Microsoft data platform portfolio in Azure? I’ll cover products in the categories of OLTP, OLAP, data warehouse, storage, data transport, data prep, data lake, IaaS, PaaS, SMP/MPP, NoSQL, Hadoop, open source, reporting, machine learning, and AI. It’s a lot to digest but I’ll categorize the products and discuss their use cases to help you narrow down the best products for the solution you want to build.
Databricks is a Software-as-a-Service-like experience (or Spark-as-a-service) that is a tool for curating and processing massive amounts of data and developing, training and deploying models on that data, and managing the whole workflow process throughout the project. It is for those who are comfortable with Apache Spark as it is 100% based on Spark and is extensible with support for Scala, Java, R, and Python alongside Spark SQL, GraphX, Streaming and Machine Learning Library (Mllib). It has built-in integration with many data sources, has a workflow scheduler, allows for real-time workspace collaboration, and has performance improvements over traditional Apache Spark.
Embarking on building a modern data warehouse in the cloud can be an overwhelming experience due to the sheer number of products that can be used, especially when the use cases for many products overlap others. In this talk I will cover the use cases of many of the Microsoft products that you can use when building a modern data warehouse, broken down into four areas: ingest, store, prep, and model & serve. It’s a complicated story that I will try to simplify, giving blunt opinions of when to use what products and the pros/cons of each.
Tomer Shiran est le fondateur et chef de produit (CPO) de Dremio. Tomer était le 4e employé et vice-président produit de MapR, un pionnier de l'analyse du Big Data. Il a également occupé de nombreux postes de gestion de produits et d'ingénierie chez IBM Research et Microsoft, et a fondé plusieurs sites Web qui ont servi des millions d'utilisateurs. Il est titulaire d'un Master en génie informatique de l'Université Carnegie Mellon et d'un Bachelor of Science en informatique du Technion - Israel Institute of Technology.
Le Modern Data Stack meetup est ravi d'accueillir Tomer Shiran. Depuis Apache Drill, Apache Arrow maintenant Apache Iceberg, il ancre avec ses équipes des choix pour Dremio avec une vision de la plateforme de données “ouverte” basée sur des technologies open source. En plus, de ces valeurs qui évitent le verrouillage de clients dans des formats propriétaires, il a aussi le souci des coûts qu’engendrent de telles plateformes. Il sait aussi proposer un certain nombre de fonctionnalités qui transforment la gestion de données grâce à des initiatives telles Nessie qui ouvre la route du Data As Code et du transactionnel multi-processus.
Le Modern Data Stack Meetup laisse “carte blanche” à Tomer Shiran afin qu’il nous partage son expérience et sa vision quant à l’Open Data Lakehouse.
Power BI has become a product with a ton of exciting features. This presentation will give an overview of some of them, including Power BI Desktop, Power BI service, what’s new, integration with other services, Power BI premium, and administration.
The Institution's Innovation Council (Ministry of HRD initiative) and the Institution of Electronics and Telecommunication Engineers (IETE) invited me to grace "World Telecommunication & Information Society Day" on 18 May 2020.
As we move from experience and intuition based decision making to factual decision making, it is increasingly important to capture data and store it in a way that allows us to make smarter decisions. This is where Data warehouse/Business Intelligence comes into picture. There is a huge demand for There is a huge demand for Business Intelligence professionals and this course acts as a foundation which opens the door to a variety of opportunities in Business Intelligence space. Though there are many vendors providing BI tools, very few of them provide end-end BI suite and huge customer base. Microsoft stands as leader with its user-friendly and cost effective Business Intelligence suite helping customers to get a 360 degree view of their businesses.
Webinar: Microsoft SharePoint-The Ultimate Enterprise Collaboration PlatformEdureka!
SharePoint is a web application framework and platform. SharePoint integrates intranet, content management, and document management.SharePoint is mostly used by midsize businesses and large departments. SharePoint comprises a multipurpose set of Web technologies backed by a common technical infrastructure.
Topics covered:
1. Demystify Microsoft SharePoint Server
2. SharePoint evolution; Opportunities for developers using SharePoint technologies
3.Cloud App model and Apps in SharePoint 2013
4. Use Case : Provider Hosted and Auto Hosted App
This tutorial covers the topics of introduction to business intelligence with examples of BI scenarios and touches upon ETL(Extract, Transform and Load) operations using SSIS on SQL 2005 & 2008 and using DTS on SQL 2000. It contains introductions to crystal reports and SSRS. It compares Data warehouse and OLAP Cube. This tutorial concludes with topics on Data Mining and Dashboards.
Microsoft SharePoint 2013 : The Ultimate Enterprise Collaboration PlatformEdureka!
Microsoft SharePoint 2013 is an Enterprise Collaboration Platform which offers a wide range of integrated solutions including Enterprise Content Management (ECM), Enterprise Social Networking, Business process management (BPM), Web Content Management (WCM), Business Intelligence (BI), Enterprise Search etc. Currently more than 80% of Fortune 500 companies are using Microsoft SharePoint solutions and the numbers are growing with the new Cloud Based SharePoint Online. Developers can use Cloud App Model and leverage familiar programming models and development tools to create custom solutions for Mobility, Social and Collaboration Search and Workflows.
Microsoft Sharepoint 2013 : The Ultimate Enterprise Collaboration PlatformEdureka!
Microsoft SharePoint 2013 is an Enterprise Collaboration Platform which offers a wide range of integrated solutions including Enterprise Content Management (ECM), Enterprise Social Networking, Business process management (BPM), Web Content Management (WCM), Business Intelligence (BI), Enterprise Search etc. Currently more than 80% of Fortune 500 companies are using Microsoft SharePoint solutions and the numbers are growing with the new Cloud Based SharePoint Online. Developers can use Cloud App Model and leverage familiar programming models and development tools to create custom solutions for Mobility, Social and Collaboration Search and Workflows.
MSBI Interview Questions And Answers | MSBI Certification Training | EdurekaEdureka!
This Edureka "MSBI Interview Questions and Answers" PPT will help you unravel concepts of Microsoft BI and touch on topics that are the crux for succeeding in any MSBI interview. It's is a one-stop solution to grasp all your MSBI job opportunities.
Check our complete Microsoft BI playlist here: https://goo.gl/Vo6Klo
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Best practices to deliver data analytics to the business with power biSatya Shyam K Jayanty
Get your data to life with Power BI visualization and insights!
With the changing landscape of Power BI features it is essential to get hold of configuration and deployment practices within your data platform that will ensure you are on-par with compliance & security practices. In this session we will overview from the basics leading into advanced tricks on this landscape:
How to deploy Power BI?
How to implement configuration parameters and package BI features as a part of Office 365 roll out in your organisation?
What are newest features and enhancements on this Power BI landscape?
How to manage on-premise vs on-cloud connectivity?
How can you help and support the Power BI community as well?
Having said that within the objectives of this session, cloud computing is another aspect of this technology made is possible to get data within few clicks and ticks to the end-user. Let us review how to manage & connect on-premise data to cloud capabilities that can offer full advantage of data catalogue capabilities by keeping data secure as per Information Governance standards. Not just with nuts and bolts, performance is another aspect that every Admin is keeping up, let us look into few settings on how to maximize performance to optimize access to data as required. Gain understanding and insight into number of tools that are available for your Business Intelligence needs. There will be a showcase of events to demonstrate where to begin and how to proceed in BI world.
- D BI A Consulting
consulting@dbia.uk
What to learn during the 21 days Lockdown | EdurekaEdureka!
Register Here: https://resources.edureka.co/21-days-learning-plan-webinar/
In light of the complete national lockdown for 21 days, we invite you to join a FREE webinar by renowned Mentor and Advisor, Nitin Gupta as he helps you create a 21-day learning gameplan to maximize returns for your career.
The webinar will help freshers and experienced professionals to capitalize on these 21 days and figure out the best technologies to learn while confined to home.
You will also get all your questions and doubts resolved in real-time.
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Meetup: https://www.meetup.com/edureka/
Top 10 Dying Programming Languages in 2020 | EdurekaEdureka!
YouTube Link: https://youtu.be/LSM7hD6GM4M
Get Edureka Certified in Trending Programming Languages: https://www.edureka.co
In this highly competitive IT industry, everyone wants to learn programming languages that will keep them ahead of the game. But knowing what to learn so you gain the most out of your knowledge is a whole other ball game. So, we at Edureka have prepared a list of Top 10 Dying Programming Languages 2020 that will help you to make the right choice for your career. Meanwhile, if you ever wondered about which languages are slated for continuing uptake and possible greatness, we have a list for that, too.
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Top 5 Trending Business Intelligence Tools | EdurekaEdureka!
YouTube Link: https://youtu.be/eEwq_mPd1iI
Edureka BI Certification Training Courses: https://www.edureka.co/bi-and-visualization-certification-courses
Receiving insights and finding trends is absolutely critical for businesses to scale and adapt as the years go on. This is exactly what business intelligence does and the best thing about these software solutions is that their potential uses are practically unlimited.
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Tableau Tutorial for Data Science | EdurekaEdureka!
YouTube Link:https://youtu.be/ZHNdSKMluI0
Edureka Tableau Certification Training: https://www.edureka.co/tableau-certification-training
This Edureka's PPT on "Tableau for Data Science" will help you to utilize Tableau as a tool for Data Science, not only for engagement but also comprehension efficiency. Through this PPT, you will learn to gain the maximum amount of insight with the least amount of effort.
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YouTube Link:https://youtu.be/CVv8zhYEjUE
Edureka Python Certification Training: https://www.edureka.co/data-science-python-certification-course
This Edureka PPT on 'Python Programming' will help you learn Python programming basics with the help of interesting hands-on implementations.
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YouTube Link:https://youtu.be/LvgqSMlIXFs
Get Edureka Certified in Trending Project Management Certifications: https://www.edureka.co/project-management-and-methodologies-certification-courses
Whether you want to scale up your career or are trying to switch your career path, Project Management Certifications seems to be a perfect choice in either case. So, we at Edureka have prepared a list of Top 5 Project Management Certifications that you must check out in 2020 for a major career boost.
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Top Maven Interview Questions in 2020 | EdurekaEdureka!
YouTube Link: https://youtu.be/5iTcAR4fScM
**DevOps Certification Courses - https://www.edureka.co/devops-certification-training***
This video on 'Maven Interview Questions' discusses the most frequently asked Maven Interview Questions. This PPT will help give you a detailed explanation of the topics which will help you in acing the interviews.
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** Linux Administration Certification Training - https://www.edureka.co/linux-admin **
Linux Mint is the first operating system that people from Windows or Mac are drawn towards when they have to switch to Linux in their work environment. Linux Mint has been around since the year 2006 and has grown and matured into a very user-friendly OS. Do watch the PPT till the very end to see all the demonstrations.
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How to Deploy Java Web App in AWS| EdurekaEdureka!
YouTube Link:https://youtu.be/Ozc5Yu_IcaI
** Edureka AWS Architect Certification Training - https://www.edureka.co/aws-certification-training**
This Edureka PPT shows how to deploy a java web application in AWS using AWS Elastic Beanstalk. It also describes the advantages of using AWS for this purpose.
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*** Edureka Digital Marketing Course: https://www.edureka.co/post-graduate/digital-marketing-certification***
This Edureka PPT on "Top 10 Reasons to Learn Digital Marketing" will help you understand why you should take up Digital Marketing
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** RPA Training: https://www.edureka.co/robotic-process-automation-training**
This PPT on RPA in 2020 will provide a glimpse of the accomplishments and benefits provided by RPA. Also, it will list out the new changes and technologies that will collaborate with RPA in 2020.
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**DevOps Certification Courses - https://www.edureka.co/devops-certification-training **
This PPT shows how to configure Jenkins to receive email notifications. It also includes a demo that shows how to do it in 6 simple steps in the Windows machine.
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EA Algorithm in Machine Learning | EdurekaEdureka!
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** Machine Learning Certification Training: https://www.edureka.co/machine-learning-certification-training **
This Edureka PPT on 'EM Algorithm In Machine Learning' covers the EM algorithm along with the problem of latent variables in maximum likelihood and Gaussian mixture model.
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PGP in AI and Machine Learning (9 Months Online Program): https://www.edureka.co/post-graduate/machine-learning-and-ai
This Edureka PPT on "Cognitive AI" explains cognitive computing and how it helps in making better human decisions at work. Also, it explains the differences between cognitive computing and artificial intelligence.
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Edureka AWS Architect Certification Training - https://www.edureka.co/aws-certification-training
This Edureka PPT on AWS Cloud Practitioner will provide a complete guide to your AWS Cloud Practitioner Certification exam. It will explain the exam details, objectives, why you should get certified and also how AWS certification will help your career.
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Blue Prism Top Interview Questions | EdurekaEdureka!
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** RPA Training: https://www.edureka.co/robotic-process-automation-certification-courses**
This PPT on Blue Prism Interview Questions will cover the Top 50 Blue Prism related questions asked in your interviews.
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A star algorithm | A* Algorithm in Artificial Intelligence | EdurekaEdureka!
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This Edureka PPT on 'A Star Algorithm' teaches you all about the A star Algorithm, the uses, advantages and disadvantages and much more. It also shows you how the algorithm can be implemented practically and has a comparison between the Dijkstra and itself.
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Kubernetes Installation on Ubuntu | EdurekaEdureka!
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This Edureka PPT will help you set up a Kubernetes cluster having 1 master and 1 node. The detailed step by step instructions is demonstrated in this PPT.
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This Edureka DevOps Tutorial for Beginners talks about What is DevOps and how it works. You will learn about several DevOps tools (Git, Jenkins, Docker, Puppet, Ansible, Nagios) involved at different DevOps stages such as version control, continuous integration, continuous delivery, continuous deployment, continuous monitoring.
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Francesca Gottschalk - How can education support child empowerment.pptxEduSkills OECD
Francesca Gottschalk from the OECD’s Centre for Educational Research and Innovation presents at the Ask an Expert Webinar: How can education support child empowerment?
Safalta Digital marketing institute in Noida, provide complete applications that encompass a huge range of virtual advertising and marketing additives, which includes search engine optimization, virtual communication advertising, pay-per-click on marketing, content material advertising, internet analytics, and greater. These university courses are designed for students who possess a comprehensive understanding of virtual marketing strategies and attributes.Safalta Digital Marketing Institute in Noida is a first choice for young individuals or students who are looking to start their careers in the field of digital advertising. The institute gives specialized courses designed and certification.
for beginners, providing thorough training in areas such as SEO, digital communication marketing, and PPC training in Noida. After finishing the program, students receive the certifications recognised by top different universitie, setting a strong foundation for a successful career in digital marketing.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
2. Slide 2
LIVE Online Class
Class Recording in LMS
24/7 Post Class Support
Module Wise Quiz
Project Work
Verifiable Certificate
www.edureka.co/microsoft-bi
How it Works?
3. Objectives
At the end of this module, you will be able to:
Understand why BI?
Understand what is BI and what are the existing solutions
Understand MSBI as a solution
Understand MSBI Architecture
Diving Deeper into MSBI : SSIS, SSAS and SSRS.
Compare MSBI with other BI Tools
Hands-on Demo
Slide 3 www.edureka.co/microsoft-bi
4. Data is everywhere but….
I cant find data I need…
Data is scattered over the network
I cant get data I need…
Need an Expert to get required data
I cant understand this data .…
Given data is very poorly documented
I cant use this data .…
Results are unexpected
This data needs to be converted to
another form
Slide 4 www.edureka.co/microsoft-bi
5. What the users want?
Data should be completely integrated across the
network
Summarized data should have real value to the
organization
Historical data unlocks the path to understand the
health of organization
‘What –if’ capabilities must be there in the data
Slide 5 www.edureka.co/microsoft-bi
7. What is BI?
Slide 7 www.edureka.co/microsoft-bi
8. What is Business Intelligence ?
Business Intelligence is the process of transforming the business data into Information/Knowledge using computer
based techniques thus enabling the users to take effective fact based decisions
Business Intelligence
Information /Knowledge Decision
Business Data
Slide 8 www.edureka.co/microsoft-bi
9. Business Intelligence: Decision Making
Identify Problems or
Opportunities
Gather Required
Data
Explore Alternatives
Data Analysis, QA
Business Decision
Slide 9 www.edureka.co/microsoft-bi
10. Business Intelligence: Existing Solutions
There are various BI vendors offering end-to-end solutions in the market which can be traditionally classified as:
Large BI Vendors
New Vendors
Slide 10 www.edureka.co/microsoft-bi
11. Questions of Manager!
Lets say if a producer wants to know the following….
Show me the
products with high
margins
Show my lowest
sales among all
region
Show me Top
Selling products for
past five years
Increase sales by
identifying customer
buying pattern
What-if bundling
multiple products
to increase sales
Show me inventory
trend for the past 5
years
Slide 11 www.edureka.co/microsoft-bi
12. MSBI : Answer to All
Provides a “Single Version of Truth” to make effective
Eliminates or reduces Instinctive /Gut feeling decisions
Quick and timely answers to the business thus making business more responsive to the
dynamic business trends
Minimize error prone manual and mundane work
Very rich support for advanced analysis thus making better understanding of their
business process, customers and competitors
Support for Historical data
Support for Summarized data thus identifying
Slide 12 www.edureka.co/microsoft-bi
13. MSDN Library
MSDN's primary web presence at msdn.microsoft.com is a collection of sites for the developer team that provides
documentation, information, and discussion which is given both by Microsoft and by the team at large
Currently, Microsoft has placed emphasis on incorporation of forums, blogs, library annotations and social
bookmarking to make MSDN an open dialog with the developer team rather than a one-way service
You will find well documents steps for all the features available on MSDN for reference along with several blogs
available on Business Intelligence which keeps you updated on latest updates and improvements
Slide 13 www.edureka.co/microsoft-bi
15. MSBI Architecture
OLAP
SSRS - SQL Server Reporting Services
SSAS - SQL Server Analysis Services
SSIS - SQL Server Integration Services
Reports, Scorecards
and Dashboard
Cube
Data Warehouse
Data Sources
ETL
Excel
SQL
Server
Databases
& Files
Slide 15 www.edureka.co/microsoft-bi
16. MSBI : Example
Let’s understand this picture by taking an
example of an organization
Let’s take the example :-
is one the most popular brands
for apparel and accessories. We have outlets of
in most parts of World
Slide 16 www.edureka.co/microsoft-bi
17. MSBI : Example
Every outlet stores their customer data in their respective database and it’s not mandatory that
every outlet is using the same database
Some outlets may have SAP as their database, some might be using Oracle or some stores prefer
storing their data in simple text files
Slide 17 www.edureka.co/microsoft-bi
18. Phase 1: SSIS [Integration Services]
After storing daily data of the customers who visited outlet at different stores, the data is
then integrated and saved into a centralized database
It is accomplished with OLTP component of MS SQL Server
Integration means merging of data from different data stores (i.e. it may be a flat file, Excel sheets, SAP,
Oracle, etc.), refreshing data in data warehouses and to cleanse data (e.g. -Date format may be different
for different outlet’s database, so same format is made to make it even) before loading to remove errors
OLTP
Slide 18 www.edureka.co/microsoft-bi
19. Phase 2: SSAS [Analysis Services]
Next step is to analyse the stored centralized data where in data is divided into Data Marts on which analytic
process is done
Analysis services use OLAP (Online Analytical Processing) component and data mining capabilities which as a result
gives multi-dimensional structures called CUBES to pre-calculate and store complex aggregations, and also
to build mining models to perform data analysis which helps in identifying valuable information like what are the
recent trends, patterns, dislikes of customers
Business analyst then perform data mining function on multi dimensional cube structure to look data from different
perspectives
Multi Dimensional analysis: CUBE
OLAP
Slide 19 www.edureka.co/microsoft-bi
20. Phase 3: SSRS [Reporting Services]
To gain insights about the analysis, we need get the data graphically visualised so that the company
can make effective decision to enhance their revenue, gain maximum profit and to reduce time wastage
So, this is done in forms of Reports, Scorecards, Plans, Dashboards, Excel workbooks, etc.
These reports will show the organization what is the revenue of in specific time at specific place,
where they got hold of the market, in which part they are lacking and where it needs to be enhanced and many
other things which end users would like to know about
Cubes
Mining
Reports
Success
Slide 20 www.edureka.co/microsoft-bi
22. Microsoft BI Platform
Search Collaboration Content Management
Share Point Server
Delivery
Reports Reports Reports Reports Reports Reports
End User Tools and Performance Management
Excel Performance Point
Business Intelligence Platform
Analysis Services
Reporting Services
SQL
Integration Services Database Management
Dynamics Oracle SAP Seibel
Slide 22 www.edureka.co/microsoft-bi
23. Microsoft BI Platform
Search Collaboration Content Management
Share Point Server
Delivery
Reports Reports Reports Reports Reports Reports
End User Tools and Performance Management
Excel Performance Point
Business Intelligence Platform
Analysis Services
Reporting Services
SQL
Integration Services Database Management
Dynamics Oracle SAP Seibel
Slide 23 www.edureka.co/microsoft-bi
24. SQL Server Database Management
It provides a robust, scalable and enterprise-ready Data Warehouse platform
Microsoft SQL Server has improved partitioning, manageability, and query optimizations to streamline data
warehouse operations and increase performance
Many Business Solutions and Systems currently use this database
Business Intelligence Platform
Reporting Services
SQL
Integration Services Database Management
Database Management
Analysis Services
Slide 24 www.edureka.co/microsoft-bi
25. SQL Server Integration Services
Provides functionality commonly referred to as Extract, Transform, Load (ETL)
Moves and transforms data between sources and destinations, regardless of format
Ensures data integrity and cleanses data in a remarkable format
Integrates heterogeneous data sources
Business Intelligence Platform
Analysis Services
Reporting Services
SQL
Integration Services Database Management
Slide 25 www.edureka.co/microsoft-bi
26. SQL Server Analysis Services
It allows for Online Analytical Processing (OLAP) which is commonly referred to as “cubes”
It also includes advanced analytical features such as complete data mining and key performance indicator
frameworks
It enables organizations to accommodate multiple analytic needs within one solution
Business Intelligence Platform
Analysis Services
Reporting Services
SQL
Integration Services Database Management
Slide 26 www.edureka.co/microsoft-bi
27. SQL Server Reporting Services
Provides a complete reporting platform so that end-users can view data using a Web browser or desktop
Includes report authoring tools for both technical developers and business users
Allows web-based viewing and rendering in popular document formats such as Microsoft Excel and PDF
Contains robust e-mail subscription capability
Business Intelligence Platform
Analysis Services
Reporting Services
SQL
Integration Services Database Management
Slide 27 www.edureka.co/microsoft-bi
28. Comparison of MSBI with Other tools
Slide 28 www.edureka.co/microsoft-bi
29. MSBI: Most Reliable Solution
Total Cost
$ 25K
Total Cost
$ 25K
Total Cost
$ 40K
Base Product
Slide 29 www.edureka.co/microsoft-bi
30. MSBI: Most Reliable Solution
Microsoft
SQL Server
(included)
Total Cost
$ 25K
Performance
Expert
$ 10k
Total Cost
$ 35K
Tuning
$ 3K
Diagnostics
$ 3K
Partitioning
$ 10k
Total Cost
$ 56K
Manageability
Base Product
Slide 30 www.edureka.co/microsoft-bi
31. MSBI: Most Reliable Solution
Microsoft
SQL Server
(included)
Total Cost
$ 25K
DB2 OLAP
$ 35k
DB2 Warehouse
$ 75k
Cube Views
$ 20k
Total Cost
$ 154.5K
OLAP
$ 20k
Mining
$ 20k
BI Bundle
$ 20k
Total Cost
$ 116K
Business
Intelligence
Manageability
Base Product
Slide 31 www.edureka.co/microsoft-bi
32. MSBI: Most Reliable Solution
Microsoft
SQL Server
(included)
Total Cost
$ 25K
Data Guard
($ 116k) Recovery
Expert
$ 10k
Total Cost
$ 164.5K
Total Cost
$ 232K
High Availability
Business
Intelligence
Manageability
Base Product
Slide 32 www.edureka.co/microsoft-bi
33. MSBI: Most Reliable Solution
Multi-Core $160k- $165k
Microsoft
SQL Server
(included)
Total Cost
$ 25K
Total Cost
$ 324K-329K
$116k- $232k
Total Cost
$ 348K- 464K
High Availability
Business
Intelligence
Manageability
Base Product
Slide 33 www.edureka.co/microsoft-bi
34. MSBI: Most Reliable Solution
Total Cost
$ 25K
Total Cost
$ 324K-329K
Multi-Core
High Availability
Business
Intelligence
Manageability
Base Product
Total Cost
$ 348K- 464K
Slide 34 www.edureka.co/microsoft-bi
35. Job trends for MSBI
Slide 35 www.edureka.co/microsoft-bi
37. Disclaimer
Criteria and guidelines mentioned in this presentation may change. Please visit our website for
latest and additional information on MS-BI
Slide 37 www.edureka.co/microsoft-bi
38. Course Topics
Module 1
» MSBI and SSIS Architecture Overview
Module 2
» SSIS Control and Data Flow
Module 3
» SSIS (Transactions, Error Handling)
Module 4
» SSIS (Configuration, Deployment and Scheduling)
Module 5
» SSIS Advance Topics & DWH Basics
Module 6
» SSAS Cube Design
Module 7
» SSAS Deployment and MDX, DAX
Module 8
» SSRS Reporting Basics
Module 9
» SSRS: Report Manager
Module 10
» Putting the Pieces Together
Slide 38 www.edureka.co/microsoft-bi