( ** Apache Spark Training - https://www.edureka.co/apache-spark-s... ** )
This Edureka tutorial on MapReduce vs Spark will help you to understand the differences between MapReduce and Spark by comparing them on various parameters like:
1. Current Market Situation
2. Hadoop Map-Reduce vs Apache Spark
a. Performance
b. Ease of Use
c. Cost
d. Data Processing
e. Security
f. Fault Tolerance
3. Real-time example of Map-Reduce
4. Real-time example of Spark
Check our complete Apache Spark and Scala playlist here: https://goo.gl/ViRJ2K
ABD303_Developing an Insights Platform—the Sysco Journey from Disparate Syste...Amazon Web Services
Sysco has nearly 200 operating companies across its multiple lines of business throughout the United States, Canada, Central/South America, and Europe. As the global leader in food services, Sysco identified the need to streamline the collection, transformation, and presentation of data produced by the distributed units and systems, into a central data ecosystem. Sysco's Business Intelligence and Analytics team addressed these requirements by creating a data lake with scalable analytics and query engines leveraging AWS services. In this session, Sysco will outline their journey from a hindsight reporting focused company to an insights driven organization. They will cover solution architecture, challenges, and lessons learned from deploying a self-service insights platform. They will also walk through the design patterns they used and how they designed the solution to provide predictive analytics using Amazon Redshift Spectrum, Amazon S3, Amazon EMR, AWS Glue, Amazon Elasticsearch Service and other AWS services.
Learn how to reduce development time and innovate on AWS. In this webinar, Beachbody - sellers of fitness, weight loss, and muscle-building home-exercise videos - talks about their experience migrating to a data lake on Amazon Simple Storage Service (Amazon S3) using Talend. Beachbody will describe how they created an open enterprise data platform, giving their employees access to secure, well-governed data, and increasing DevOps efficiency across the entire company.
Analytics at the Speed of Thought: Actian Express Overview Actian Corporation
Deliver faster insight – reduce query response times to seconds
Analyze more data faster – explore billions of rows of data in seconds
More concurrent users – enable more concurrent BI users to explore more data
ABD303_Developing an Insights Platform—the Sysco Journey from Disparate Syste...Amazon Web Services
Sysco has nearly 200 operating companies across its multiple lines of business throughout the United States, Canada, Central/South America, and Europe. As the global leader in food services, Sysco identified the need to streamline the collection, transformation, and presentation of data produced by the distributed units and systems, into a central data ecosystem. Sysco's Business Intelligence and Analytics team addressed these requirements by creating a data lake with scalable analytics and query engines leveraging AWS services. In this session, Sysco will outline their journey from a hindsight reporting focused company to an insights driven organization. They will cover solution architecture, challenges, and lessons learned from deploying a self-service insights platform. They will also walk through the design patterns they used and how they designed the solution to provide predictive analytics using Amazon Redshift Spectrum, Amazon S3, Amazon EMR, AWS Glue, Amazon Elasticsearch Service and other AWS services.
Learn how to reduce development time and innovate on AWS. In this webinar, Beachbody - sellers of fitness, weight loss, and muscle-building home-exercise videos - talks about their experience migrating to a data lake on Amazon Simple Storage Service (Amazon S3) using Talend. Beachbody will describe how they created an open enterprise data platform, giving their employees access to secure, well-governed data, and increasing DevOps efficiency across the entire company.
Analytics at the Speed of Thought: Actian Express Overview Actian Corporation
Deliver faster insight – reduce query response times to seconds
Analyze more data faster – explore billions of rows of data in seconds
More concurrent users – enable more concurrent BI users to explore more data
In order to respond to today’s rapid changing business climate, companies need to take advantage of the new possibilities enabled by the cloud. Learn why more customers, including BP, Kellogg, Brigade Group and DoHome are running their SAP software, including production environments, on AWS. In this session we will cover how to deploy SAP HANA on AWS in 1 hour and dive deep on the migration approach with customer examples. We will also share how you can design highly available architecture to support mission critical SAP workloads.
Speaker: Derek Ewell, Solutions Architect, Amazon Web Services APAC
Data Lake Implementation: Processing and Querying Data in Place (STG204-R1) -...Amazon Web Services
Flexibility is key when building and scaling a data lake. The analytics solutions you use in the future will almost certainly be different from the ones you use today, and choosing the right storage architecture gives you the agility to quickly experiment and migrate with the latest analytics solutions. In this session, we explore best practices for building a data lake in Amazon S3 and Amazon Glacier for leveraging an entire array of AWS, open source, and third-party analytics tools. We explore use cases for traditional analytics tools, including Amazon EMR and AWS Glue, as well as query-in-place tools like Amazon Athena, Amazon Redshift Spectrum, Amazon S3 Select, and Amazon Glacier Select.
Migrating your traditional Data Warehouse to a Modern Data LakeAmazon Web Services
In this session, we discuss the latest features of Amazon Redshift and Redshift Spectrum, and take a deep dive into its architecture and inner workings. We share many of the recent availability, performance, and management enhancements and how they improve your end user experience. You also hear from 21st Century Fox, who presents a case study of their fast migration from an on-premises data warehouse to Amazon Redshift. Learn how they are expanding their data warehouse to a data lake that encompasses multiple data sources and data formats. This architecture helps them tie together siloed business units and get actionable 360-degree insights across their consumer base.
Hadoop Administration Training | Hadoop Administration Tutorial | Hadoop Admi...Edureka!
This Edureka Hadoop Administration Training tutorial will help you understand the functions of all the Hadoop daemons and what are the configuration parameters involved with them. It will also take you through a step by step Multi-Node Hadoop Installation and will discuss all the configuration files in detail. Below are the topics covered in this tutorial:
1) What is Big Data?
2) Hadoop Ecosystem
3) Hadoop Core Components: HDFS & YARN
4) Hadoop Core Configuration Files
5) Multi Node Hadoop Installation
6) Tuning Hadoop using Configuration Files
7) Commissioning and Decommissioning the DataNode
8) Hadoop Web UI Components
9) Hadoop Job Responsibilities
Spark Hadoop Tutorial | Spark Hadoop Example on NBA | Apache Spark Training |...Edureka!
This Edureka Spark Hadoop Tutorial will help you understand how to use Spark and Hadoop together. This Spark Hadoop 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) Spark Overview
2) Hadoop Overview
3) Spark vs Hadoop
4) Why Spark Hadoop?
5) Using Hadoop With Spark
6) Use Case - Sports Analytics (NBA)
Apache Spark Tutorial | Spark Tutorial for Beginners | Apache Spark Training ...Edureka!
This Edureka Spark Tutorial will help you to understand all the basics of Apache Spark. This Spark tutorial is ideal for both beginners as well as professionals who want to learn or brush up Apache Spark concepts. Below are the topics covered in this tutorial:
1) Big Data Introduction
2) Batch vs Real Time Analytics
3) Why Apache Spark?
4) What is Apache Spark?
5) Using Spark with Hadoop
6) Apache Spark Features
7) Apache Spark Ecosystem
8) Demo: Earthquake Detection Using Apache Spark
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)
Hadoop Ecosystem | Big Data Analytics Tools | Hadoop Tutorial | Edureka Edureka!
This Edureka Hadoop Ecosystem Tutorial (Hadoop Ecosystem blog: https://goo.gl/EbuBGM) will help you understand about a set of tools and services which together form a Hadoop Ecosystem. Below are the topics covered in this Hadoop Ecosystem Tutorial:
Hadoop Ecosystem:
1. HDFS - Hadoop Distributed File System
2. YARN - Yet Another Resource Negotiator
3. MapReduce - Data processing using programming
4. Spark - In-memory Data Processing
5. Pig, Hive - Data Processing Services using Query
6. HBase - NoSQL Database
7. Mahout, Spark MLlib - Machine Learning
8. Apache Drill - SQL on Hadoop
9. Zookeeper - Managing Cluster
10. Oozie - Job Scheduling
11. Flume, Sqoop - Data Ingesting Services
12. Solr & Lucene - Searching & Indexing
13. Ambari - Provision, Monitor and Maintain Cluster
What is Apache Spark | Apache Spark Tutorial For Beginners | Apache Spark Tra...Edureka!
This Edureka "What is Spark" tutorial will introduce you to big data analytics framework - Apache Spark. This 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) Big Data Analytics
2) What is Apache Spark?
3) Why Apache Spark?
4) Using Spark with Hadoop
5) Apache Spark Features
6) Apache Spark Architecture
7) Apache Spark Ecosystem - Spark Core, Spark Streaming, Spark MLlib, Spark SQL, GraphX
8) Demo: Analyze Flight Data Using Apache Spark
Why HADOOP ?
Oen-Source Implementaion Software
Massive Storage
Processing Large Amounts of Data
Fast Results
Fastest Growing Technology
Better Managemant & Analytical Applications
Simple Frame Work
Benefits of HADOOP
Quick Data Processing
Friendly Database
Low Cost
Scalability
More Data Leads to Better Insights
capturing and storing of data from every touch point in an organization
Scalable Map- MapReduce NextGeneration
Pluggable Shuffle and Pluggable Sort
Capacity Scheduler and Fair Scheduler
Hadoop Distributed File System (HDFS) snapshots
Distributed job life cycle management
Security Improvements
REST interface for communication
Universal jar
Memory and I/O efficient
Cascading support
PySpark Dataframes Tutorial | Introduction to PySpark Dataframes API | PySpar...Edureka!
** PySpark Certification Training: https://www.edureka.co/pyspark-certification-training **
This Edureka video will provide you with a comprehensive and detailed knowledge of Dataframes, and how to use Dataframes in PySpark. Below are the topics covered in the video:
1. Need for Dataframes
2. What are Dataframes
3. Dataframes Features
4. Sources of Dataframes
5. Hands On - Pyspark Dataframes
Hadoop Interview Questions and Answers | Big Data Interview Questions | Hadoo...Edureka!
This Hadoop Tutorial on Hadoop Interview Questions and Answers ( Hadoop Interview Blog series: https://goo.gl/ndqlss ) will help you to prepare yourself for Big Data and Hadoop interviews. Learn about the most important Hadoop interview questions and answers and know what will set you apart in the interview process. Below are the topics covered in this Hadoop Interview Questions and Answers Tutorial:
Hadoop Interview Questions on:
1) Big Data & Hadoop
2) HDFS
3) MapReduce
4) Apache Hive
5) Apache Pig
6) Apache HBase and Sqoop
Check our complete Hadoop playlist here: https://goo.gl/4OyoTW
#HadoopInterviewQuestions #BigDataInterviewQuestions #HadoopInterview
Data Analyst vs Data Engineer vs Data Scientist | Data Analytics Masters Prog...Edureka!
** Data Analytics Masters' Program: https://www.edureka.co/masters-program/data-analyst-certification **
** Data Scientist Masters' Program: https://www.edureka.co/masters-program/data-scientist-certification **
This Edureka PPT on "Data Analyst vs Data Engineer vs Data Scientist" will help you understand the various similarities and differences between them. Also, you will get a complete roadmap along with the skills required to get into a data-related career. Below topics are covered in this tutorial:
Who is data analyst, data engineer and data scientist?
Roadmap
Required skill-sets
Roles and Responsibilities
Salary Perspective
Follow us to never miss an update in the future.
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Big Data Analytics Tutorial | Big Data Analytics for Beginners | Hadoop Tutor...Edureka!
This Edureka Big Data Analytics Tutorial will help you to understand the basics of Big Data domain. Learn how to analyze Big Data in this tutorial. Below are the topics covered in this tutorial:
1) Big Data Introduction
2) What is Big Data Analytics?
3) Why Big Data Analytics?
4) Stages in Big Data Analytics
5) Big Data Analytics Domains
6) Big Data Analytics Use Cases
Subscribe to our channel to get updates.
Check our complete Hadoop playlist here: https://goo.gl/4OyoTW
In order to respond to today’s rapid changing business climate, companies need to take advantage of the new possibilities enabled by the cloud. Learn why more customers, including BP, Kellogg, Brigade Group and DoHome are running their SAP software, including production environments, on AWS. In this session we will cover how to deploy SAP HANA on AWS in 1 hour and dive deep on the migration approach with customer examples. We will also share how you can design highly available architecture to support mission critical SAP workloads.
Speaker: Derek Ewell, Solutions Architect, Amazon Web Services APAC
Data Lake Implementation: Processing and Querying Data in Place (STG204-R1) -...Amazon Web Services
Flexibility is key when building and scaling a data lake. The analytics solutions you use in the future will almost certainly be different from the ones you use today, and choosing the right storage architecture gives you the agility to quickly experiment and migrate with the latest analytics solutions. In this session, we explore best practices for building a data lake in Amazon S3 and Amazon Glacier for leveraging an entire array of AWS, open source, and third-party analytics tools. We explore use cases for traditional analytics tools, including Amazon EMR and AWS Glue, as well as query-in-place tools like Amazon Athena, Amazon Redshift Spectrum, Amazon S3 Select, and Amazon Glacier Select.
Migrating your traditional Data Warehouse to a Modern Data LakeAmazon Web Services
In this session, we discuss the latest features of Amazon Redshift and Redshift Spectrum, and take a deep dive into its architecture and inner workings. We share many of the recent availability, performance, and management enhancements and how they improve your end user experience. You also hear from 21st Century Fox, who presents a case study of their fast migration from an on-premises data warehouse to Amazon Redshift. Learn how they are expanding their data warehouse to a data lake that encompasses multiple data sources and data formats. This architecture helps them tie together siloed business units and get actionable 360-degree insights across their consumer base.
Hadoop Administration Training | Hadoop Administration Tutorial | Hadoop Admi...Edureka!
This Edureka Hadoop Administration Training tutorial will help you understand the functions of all the Hadoop daemons and what are the configuration parameters involved with them. It will also take you through a step by step Multi-Node Hadoop Installation and will discuss all the configuration files in detail. Below are the topics covered in this tutorial:
1) What is Big Data?
2) Hadoop Ecosystem
3) Hadoop Core Components: HDFS & YARN
4) Hadoop Core Configuration Files
5) Multi Node Hadoop Installation
6) Tuning Hadoop using Configuration Files
7) Commissioning and Decommissioning the DataNode
8) Hadoop Web UI Components
9) Hadoop Job Responsibilities
Spark Hadoop Tutorial | Spark Hadoop Example on NBA | Apache Spark Training |...Edureka!
This Edureka Spark Hadoop Tutorial will help you understand how to use Spark and Hadoop together. This Spark Hadoop 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) Spark Overview
2) Hadoop Overview
3) Spark vs Hadoop
4) Why Spark Hadoop?
5) Using Hadoop With Spark
6) Use Case - Sports Analytics (NBA)
Apache Spark Tutorial | Spark Tutorial for Beginners | Apache Spark Training ...Edureka!
This Edureka Spark Tutorial will help you to understand all the basics of Apache Spark. This Spark tutorial is ideal for both beginners as well as professionals who want to learn or brush up Apache Spark concepts. Below are the topics covered in this tutorial:
1) Big Data Introduction
2) Batch vs Real Time Analytics
3) Why Apache Spark?
4) What is Apache Spark?
5) Using Spark with Hadoop
6) Apache Spark Features
7) Apache Spark Ecosystem
8) Demo: Earthquake Detection Using Apache Spark
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)
Hadoop Ecosystem | Big Data Analytics Tools | Hadoop Tutorial | Edureka Edureka!
This Edureka Hadoop Ecosystem Tutorial (Hadoop Ecosystem blog: https://goo.gl/EbuBGM) will help you understand about a set of tools and services which together form a Hadoop Ecosystem. Below are the topics covered in this Hadoop Ecosystem Tutorial:
Hadoop Ecosystem:
1. HDFS - Hadoop Distributed File System
2. YARN - Yet Another Resource Negotiator
3. MapReduce - Data processing using programming
4. Spark - In-memory Data Processing
5. Pig, Hive - Data Processing Services using Query
6. HBase - NoSQL Database
7. Mahout, Spark MLlib - Machine Learning
8. Apache Drill - SQL on Hadoop
9. Zookeeper - Managing Cluster
10. Oozie - Job Scheduling
11. Flume, Sqoop - Data Ingesting Services
12. Solr & Lucene - Searching & Indexing
13. Ambari - Provision, Monitor and Maintain Cluster
What is Apache Spark | Apache Spark Tutorial For Beginners | Apache Spark Tra...Edureka!
This Edureka "What is Spark" tutorial will introduce you to big data analytics framework - Apache Spark. This 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) Big Data Analytics
2) What is Apache Spark?
3) Why Apache Spark?
4) Using Spark with Hadoop
5) Apache Spark Features
6) Apache Spark Architecture
7) Apache Spark Ecosystem - Spark Core, Spark Streaming, Spark MLlib, Spark SQL, GraphX
8) Demo: Analyze Flight Data Using Apache Spark
Why HADOOP ?
Oen-Source Implementaion Software
Massive Storage
Processing Large Amounts of Data
Fast Results
Fastest Growing Technology
Better Managemant & Analytical Applications
Simple Frame Work
Benefits of HADOOP
Quick Data Processing
Friendly Database
Low Cost
Scalability
More Data Leads to Better Insights
capturing and storing of data from every touch point in an organization
Scalable Map- MapReduce NextGeneration
Pluggable Shuffle and Pluggable Sort
Capacity Scheduler and Fair Scheduler
Hadoop Distributed File System (HDFS) snapshots
Distributed job life cycle management
Security Improvements
REST interface for communication
Universal jar
Memory and I/O efficient
Cascading support
PySpark Dataframes Tutorial | Introduction to PySpark Dataframes API | PySpar...Edureka!
** PySpark Certification Training: https://www.edureka.co/pyspark-certification-training **
This Edureka video will provide you with a comprehensive and detailed knowledge of Dataframes, and how to use Dataframes in PySpark. Below are the topics covered in the video:
1. Need for Dataframes
2. What are Dataframes
3. Dataframes Features
4. Sources of Dataframes
5. Hands On - Pyspark Dataframes
Hadoop Interview Questions and Answers | Big Data Interview Questions | Hadoo...Edureka!
This Hadoop Tutorial on Hadoop Interview Questions and Answers ( Hadoop Interview Blog series: https://goo.gl/ndqlss ) will help you to prepare yourself for Big Data and Hadoop interviews. Learn about the most important Hadoop interview questions and answers and know what will set you apart in the interview process. Below are the topics covered in this Hadoop Interview Questions and Answers Tutorial:
Hadoop Interview Questions on:
1) Big Data & Hadoop
2) HDFS
3) MapReduce
4) Apache Hive
5) Apache Pig
6) Apache HBase and Sqoop
Check our complete Hadoop playlist here: https://goo.gl/4OyoTW
#HadoopInterviewQuestions #BigDataInterviewQuestions #HadoopInterview
Data Analyst vs Data Engineer vs Data Scientist | Data Analytics Masters Prog...Edureka!
** Data Analytics Masters' Program: https://www.edureka.co/masters-program/data-analyst-certification **
** Data Scientist Masters' Program: https://www.edureka.co/masters-program/data-scientist-certification **
This Edureka PPT on "Data Analyst vs Data Engineer vs Data Scientist" will help you understand the various similarities and differences between them. Also, you will get a complete roadmap along with the skills required to get into a data-related career. Below topics are covered in this tutorial:
Who is data analyst, data engineer and data scientist?
Roadmap
Required skill-sets
Roles and Responsibilities
Salary Perspective
Follow us to never miss an update in the future.
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Big Data Analytics Tutorial | Big Data Analytics for Beginners | Hadoop Tutor...Edureka!
This Edureka Big Data Analytics Tutorial will help you to understand the basics of Big Data domain. Learn how to analyze Big Data in this tutorial. Below are the topics covered in this tutorial:
1) Big Data Introduction
2) What is Big Data Analytics?
3) Why Big Data Analytics?
4) Stages in Big Data Analytics
5) Big Data Analytics Domains
6) Big Data Analytics Use Cases
Subscribe to our channel to get updates.
Check our complete Hadoop playlist here: https://goo.gl/4OyoTW
My talk at Data Science Labs conference in Odessa.
Training a model in Apache Spark while having it automatically available for real-time serving is an essential feature for end-to-end solutions.
There is an option to export the model into PMML and then import it into a separated scoring engine. The idea of interoperability is great but it has multiple challenges, such as code duplication, limited extensibility, inconsistency, extra moving parts. In this talk we discussed an alternative solution that does not introduce custom model formats and new standards, not based on export/import workflow and shares Apache Spark API.
This is a point of view document showing the various possible techniques to integrate SAP HANA and Hadoop and their pros & cons and the scenarios where each of them is recommended.
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.
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
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LinkedIn: https://www.linkedin.com/company/edureka
Castbox: https://castbox.fm/networks/505?country=in
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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LinkedIn: https://www.linkedin.com/company/edureka
Castbox: https://castbox.fm/networks/505?country=in
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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LinkedIn: https://www.linkedin.com/company/edureka
Castbox: https://castbox.fm/networks/505?country=in
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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Castbox: https://castbox.fm/networks/505?country=in
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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Castbox: https://castbox.fm/networks/505?country=in
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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YouTube Link: https://youtu.be/xHUiYEIcY_I
** 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!
YouTube Link: https://youtu.be/DIADjJXrgps
** 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!
YouTube Link: https://youtu.be/ykbRdUNIbyQ
** 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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AWS Architect Certification Training: https://www.edureka.co/aws-certification-training
This PPT will help you in understanding how AWS deals smartly with Big Data. It also shows how AWS can solve Big Data challenges with ease.
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A star algorithm | A* Algorithm in Artificial Intelligence | EdurekaEdureka!
YouTube Link: https://youtu.be/amlkE0g-YFU
** Artificial Intelligence and Deep Learning: https://www.edureka.co/ai-deep-learni... **
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.
Check out our playlist for more videos: http://bit.ly/2taym8X
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Kubernetes Installation on Ubuntu | EdurekaEdureka!
YouTube Link: https://youtu.be/UWg3ORRRF60
Kubernetes Certification: https://www.edureka.co/kubernetes-certification
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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DevOps Training: https://www.edureka.co/devops-certification-training
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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Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
Hadoop MapReduce vs Spark | Hadoop Tutorial For Beginners | Hadoop & Spark Tutorial | Edureka
1.
2. Hadoop Certification Training www.edureka.co/big-data-and-hadoopwww.edureka.co/apache-spark-scala-trainingSpark Certification Training
3. Hadoop Certification Training www.edureka.co/big-data-and-hadoop
Parameters to Compare
www.edureka.co/apache-spark-scala-trainingSpark Certification Training
Performance
Ease of Use
Cost
Data Processing
Security
Fault Tolerance
4. Hadoop Certification Training www.edureka.co/big-data-and-hadoop
Current Market Situation
47% +
(2017)
14% +
(2017)
www.edureka.co/apache-spark-scala-trainingSpark Certification Training
(2016) (2016)
5. Hadoop Certification Training www.edureka.co/big-data-and-hadoop
Moves data through
disk and network
Performs better as data is
cached in the memory
Performance
www.edureka.co/apache-spark-scala-trainingSpark Certification Training
Performance
Ease of Use
Cost
Data Processing
Security
Fault Tolerance
6. Hadoop Certification Training www.edureka.co/big-data-and-hadoop
Performance
Ease of Use
Cost
Data Processing
Security
Fault Tolerance
Uses Java API’s and doesn’t
support real time
processing
Uses Rich API’s and
supports Interactive
Mode in real time
Ease of Use
www.edureka.co/apache-spark-scala-trainingSpark Certification Training
7. Hadoop Certification Training www.edureka.co/big-data-and-hadoop
Comparatively less
costlier because of hard
disk storage
More costlier because of
large amounts of RAM
Cost
Performance
Ease of Use
Cost
Data Processing
Security
Fault Tolerance
www.edureka.co/apache-spark-scala-trainingSpark Certification Training
8. Hadoop Certification Training www.edureka.co/big-data-and-hadoop
Batch Processing
Real-time as well as
Batch Processing
Data Processing
www.edureka.co/apache-spark-scala-trainingSpark Certification Training
Performance
Ease of Use
Cost
Data Processing
Security
Fault Tolerance
9. Hadoop Certification Training www.edureka.co/big-data-and-hadoop
Performance
Ease of Use
Cost
Data Processing
Security
Fault Tolerance
More secure & supports
all security benefits like
Knox Gateway
Less secure &
Authentication via
Shared Secret
Security
www.edureka.co/apache-spark-scala-trainingSpark Certification Training
10. Hadoop Certification Training www.edureka.co/big-data-and-hadoop
Uses replication for fault
Tolerance
Uses RDD and other
storage models
Fault Tolerance
www.edureka.co/apache-spark-scala-trainingSpark Certification Training
Performance
Ease of Use
Cost
Data Processing
Security
Fault Tolerance
12. Hadoop Certification Training www.edureka.co/big-data-and-hadoop
EXTRACT
Data center 1
TRANSFORM LOAD
Data center 2
ETL & Data Analytics
www.edureka.co/apache-spark-scala-trainingSpark Certification Training
14. Hadoop Certification Training www.edureka.co/big-data-and-hadoop
Credit Card Fraud Detection
www.edureka.co/apache-spark-scala-trainingSpark Certification Training
Spark Streaming
Spark Streaming Spark Engine
Batches of
input data Batches of
processed data
Analytic Interface
HDFS & HBase Storage
Data
Ingestion
Input data
Credit card data