Today, when data is mushrooming and coming in heterogeneous forms, there is a growing need for a flexible, adaptable platforms. Talend fits just perfect in this space with a proven track record, making scope for vast opportunities. If you understand how to manage, transform, store your organisation data (retail, banking, airlines, research, insurance, cards etc.) and effectively represent it, then you are the resource organizations are looking for.
Today, when data is mushrooming and coming in heterogeneous forms, there is a growing need for a flexible, adaptable, efficient and cost effective integration platform which will take minimum on-boarding time and interact and entertain n number of platforms. Talend fits just perfect in this space with a proven track record, so learning talend makes lot of sense for anybody associated with data world.
If you understand how to manage, transform, store your organisation data (retail, banking, airlines, research, insurance, cards etc.) and effectively represent it which is the backbone behind any successful MIS system/reporting/dash board then you are a key person that organisation most sought after.
Scalable ETL with Talend and Hadoop, Cédric Carbone, Talend.OW2
ETL is the process of extracting data from one location, transforming it, and loading it into a different location, often for the purposes of collection and analysis. As Hadoop becomes a common technology for sophisticated analysis and transformation of petabytes of structured and unstructured data, the task of moving data in and out efficiently becomes more important and writing transformation jobs becomes more complicated. Talend provides a way to build and automate complex ETL jobs for migration, synchronization, or warehousing tasks. Using Talend's Hadoop capabilities allows users to easily move data between Hadoop and a number of external data locations using over 450 connectors. Also, Talend can simplify the creation of MapReduce transformations by offering a graphical interface to Hive, Pig, and HDFS. In this talk, Cédric Carbone will discuss how to use Talend to move large amounts of data in and out of Hadoop and easily perform transformation tasks in a scalable way.
Webinar: Ways to Succeed with Hadoop in 2015Edureka!
The webinar on Big Data and Hadoop titled " Ways to Succeed with Hadoop in 2015 " conducted by Edureka in association with TechGig.com on 29th December 2014
Today, when data is mushrooming and coming in heterogeneous forms, there is a growing need for a flexible, adaptable, efficient and cost effective integration platform which will take minimum on-boarding time and interact and entertain n number of platforms. Talend fits just perfect in this space with a proven track record, so learning talend makes lot of sense for anybody associated with data world.
If you understand how to manage, transform, store your organisation data (retail, banking, airlines, research, insurance, cards etc.) and effectively represent it which is the backbone behind any successful MIS system/reporting/dash board then you are a key person that organisation most sought after.
Scalable ETL with Talend and Hadoop, Cédric Carbone, Talend.OW2
ETL is the process of extracting data from one location, transforming it, and loading it into a different location, often for the purposes of collection and analysis. As Hadoop becomes a common technology for sophisticated analysis and transformation of petabytes of structured and unstructured data, the task of moving data in and out efficiently becomes more important and writing transformation jobs becomes more complicated. Talend provides a way to build and automate complex ETL jobs for migration, synchronization, or warehousing tasks. Using Talend's Hadoop capabilities allows users to easily move data between Hadoop and a number of external data locations using over 450 connectors. Also, Talend can simplify the creation of MapReduce transformations by offering a graphical interface to Hive, Pig, and HDFS. In this talk, Cédric Carbone will discuss how to use Talend to move large amounts of data in and out of Hadoop and easily perform transformation tasks in a scalable way.
Webinar: Ways to Succeed with Hadoop in 2015Edureka!
The webinar on Big Data and Hadoop titled " Ways to Succeed with Hadoop in 2015 " conducted by Edureka in association with TechGig.com on 29th December 2014
***** Talend Training: https://www.edureka.co/talend-for-big-data *****
This Edureka tutorial on Talend Components will demonstrate the usage of few of the majorly used components in Talend like tMap, tJoin, tFileInputDelimited, tMysqlRow etc.This video helps you to learn the following topics:
1. What is Talend?
2. Talend Component Families
3. Talend File Components
4. Talend Processing Components
5. Talend Database Components
The convergence of reporting and interactive BI on HadoopDataWorks Summit
Since the early days of Hive, SQL on Hadoop has evolved from being a SQL wrapper on top of MapReduce to a viable replacement for the traditional EDW. In the meantime, while SQL-on-Hadoop vendors were busy adding enterprise capabilities and comparing their TPC-DS prowess against Hive, a niche industry emerged on the side for OLAP (a.k.a. “Interactive BI”) on Hadoop data. Unlike general-purpose SQL-on-Hadoop engines, which deal with the multiple aspects of warehousing, including reporting, OLAP-on-Hadoop engines focus almost exclusively on answering OLAP queries fast by using implementation techniques that had not been part of the SQL-on-Hadoop toolbox so far.
But SQL-on-Hadoop engines are not standing still. After having made huge progress in catching up to traditional EDWs for reporting workloads, SQL-on-Hadoop engines are now setting their sights on interactive BI. This is great news for enterprises. As the line between reporting and OLAP gets blurred, enterprises can now start considering using a single engine for both reporting and Interactive BI on their Hadoop data, as opposed to having to host, manage, and license two separate products.
Can a single engine satisfy both your reporting and Interactive BI needs? This may be a hard question to answer. Vendors use inconsistent terminology to describe their products and make ambitious and sometimes conflicting claims. This makes it very hard for enterprises to compare products, let alone decide which is the product that best matches their needs.
In this presentation, we’ll provide an overview of the different approaches to OLAP on Hadoop, and explain the key technologies behind each of them. We’ll use consistent terminology to describe what you get from multiple proprietary and open source products and outline advantages and disadvantages. You’ll come out equipped with the knowledge you need to read past marketing and sales pitches. You’ll be able to compare products and make an informed decision on whether a single engine for both reporting and Interactive BI on Hadoop is right for you.
Speaker
Gustavo Arocena, Big Data Architect, IBM
Is It A Right Time For Me To Learn Hadoop. Find out ?Edureka!
Forrester predicts, CIOs who are late to the Hadoop game will finally make the platform a priority in 2015. Hadoop has evolved as a must-to-know technology and has been a reason for better career, salary and job opportunities for many professionals.
This workshop will provide a hands on introduction to basic Machine Learning techniques with Apache Spark ML using the cloud.
Format: A short introductory lecture on a select important supervised and unsupervised Machine Learning techniques followed by a demo, lab exercises and a Q&A session. The lecture will be followed by lab time to work through the lab exercises and ask questions.
Objective: To provide a quick and short hands-on introduction to Machine Learning with Spark ML. In the lab, you will use the following components: Apache Zeppelin (a “Modern Data Science Toolbox”) and Apache Spark. You will learn how to analyze the data, structure the data, train Machine Learning models and apply them to answer real-world questions.
Pre-requisites: Registrants must bring a laptop that can run the Hortonworks Data Cloud.
At this Crash Course everyone will have a cluster assigned to them to try several workloads using Machine Learning, Spark and Zeppelin on the cloud.
Speakers: Robert Hryniewicz
Hadoop and the Data Warehouse: When to Use Which DataWorks Summit
In recent years, Apache™ Hadoop® has emerged from humble beginnings to disrupt the traditional disciplines of information management. As with all technology innovation, hype is rampant, and data professionals are easily overwhelmed by diverse opinions and confusing messages.
Even seasoned practitioners sometimes miss the point, claiming for example that Hadoop replaces relational databases and is becoming the new data warehouse. It is easy to see where these claims originate since both Hadoop and Teradata® systems run in parallel, scale up to enormous data volumes and have shared-nothing architectures. At a conceptual level, it is easy to think they are interchangeable, but the differences overwhelm the similarities. This session will shed light on the differences and help architects, engineering executives, and data scientists identify when to deploy Hadoop and when it is best to use MPP relational database in a data warehouse, discovery platform, or other workload-specific applications.
Two of the most trusted experts in their fields, Steve Wooledge, VP of Product Marketing from Teradata and Jim Walker of Hortonworks will examine how big data technologies are being used today by practical big data practitioners.
Oracle PL/SQL 12c and 18c New Features + RADstack + Community SitesSteven Feuerstein
Slides presented at moug.org's August 2018 conference. Covers the RADstack (REST - APEX - Database) + our community sites (AskTOM, LiveSQL and Dev Gym) + a whole bunch of cool new PL/SQL features. Search LiveSQL.oracle.com for scripts to match up with the features presented.
Learn about IBM's Hadoop offering called BigInsights. We will look at the new features in version 4 (including a discussion on the Open Data Platform), review a couple of customer examples, talk about the overall offering and differentiators, and then provide a brief demonstration on how to get started quickly by creating a new cloud instance, uploading data, and generating a visualization using the built-in spreadsheet tooling called BigSheets.
Big Data Expo 2015 - Talend Delivering Real TimeBigDataExpo
Pioneers like Mint in the financial sector, Amazon in retail or Netflix in media proved that turning Big Data into actions and insights at the customer touch points delivers measurable outcomes – increased transformation rate, larger share of wallet, better customer acquisition, just in time fraud detection, etc. They showcased that it is possible today to put in place a platform for the management of customer data that is able to integrate and deliver information in real time, regardless of the interaction channel being used… and as a result establish the foundation to disrupt a whole industry with data driven processes.
Now, this Customer Data Platform is reaching the mainstream through affordable technologies such as Hadoop and Spark, if empowered with embedded data and application integration, data governance, master data management, analytics and real time data processing. This platform, sometimes referred as Customer Data Platform (CDP) or as a Data Management Platform (DMP), allows organizations to reconstruct the entire customer journey by centralizing and cross referencing interactional or internal data such as purchase history, preferences, satisfaction, and loyalty with social or external data that can uncover customer intention as well as broader habits and tastes.
In this presentation, attendees will get knowledge of the key components of the platform, how to implement it, and how to run it in the context of the enterprise marketing activities.
A changing market landscape and open source innovations are having a dramatic impact on the consumability and ease of use of data science tools. Join this session to learn about the impact these trends and changes will have on the future of data science. If you are a data scientist, or if your organization relies on cutting edge analytics, you won't want to miss this!
How Big Data and Hadoop Integrated into BMC ControlM at CARFAXBMC Software
Learn how CARFAX utilized the power of Control-M to help drive big data processing via Cloudera. See why it was a no-brainer to choose Control-M to help manage workflows through Hadoop, some of the challenges faced, and the benefits the business received by using an existing, enterprise-wide workload management system instead of choosing “yet another tool.”
Talend Data Integration Tutorial | Talend Tutorial For Beginners | Talend Onl...Edureka!
( Talend Training - https://www.edureka.co/talend-for-big... )
This Edureka PPT on Talend Data Integration Tutorial will help you in understanding the basic concepts of Talend and getting familiar with the Talend Open Studio which is an open source software provided by Talend to develop the ETL Jobs.
This video helps you to learn following topics:
1. What Is Talend?
2. Talend Open Studio
3. TOS Installation
4. TOS GUI
5. Talend Components & Connectors
6. Metadata & Context Variables
Intro to Hybrid Data Warehouse combines traditional Enterprise DW with Hadoop to create a complete data ecosystem. Learn the basics in this slide deck.
Teradata - Presentation at Hortonworks Booth - Strata 2014Hortonworks
Hortonworks and Teradata have partnered to provide a clear path to Big Analytics via stable and reliable Hadoop for the enterprise. The Teradata® Portfolio for Hadoop is a flexible offering of products and services for customers to integrate Hadoop into their data architecture while taking advantage of the world-class service and support Teradata provides.
HBaseCon 2013: Multi-tenant Apache HBase at Yahoo! Sumeet Singh
Yahoo! has been using HBase for a long time in isolated instances, most notably for the personalization platform powering its homepage experiences. The introduction of multi-tenancy has lowered the barriers for all Hadoop users to use HBase. We will cover traditional use cases for HBase at Yahoo!, and new use cases as a result in content management, advertising, log processing, analytics and reporting, recommendation graphs, and dimension data stores.
We will then talk about the deployment strategy and enhancements made that facilitate multi-tenancy. Region Server groups provide a coarse level of isolation among tenants by designating a subset of region servers to serve designated tables, and Namespaces for logical grouping of resources (region servers, tables) and privileges (quota, ACLs).
We'll also share our experiences in operating HBase with security enabled and contributions made in this area, and results from performance runs conducted to validate customer expectations in a multi-tenant environment.
URL: http://www.cloudera.com/content/cloudera/en/resources/library/hbasecon/hbasecon-2013--multi-tenant-apache-hbase-at-yahoo-video.html
Forrester predicts, CIOs who are late to the Hadoop game will finally make the platform a priority in 2015. Hadoop has evolved as a must-to-know technology and has been a reason for better career, salary and job opportunities for many professionals.
***** Talend Training: https://www.edureka.co/talend-for-big-data *****
This Edureka tutorial on Talend Components will demonstrate the usage of few of the majorly used components in Talend like tMap, tJoin, tFileInputDelimited, tMysqlRow etc.This video helps you to learn the following topics:
1. What is Talend?
2. Talend Component Families
3. Talend File Components
4. Talend Processing Components
5. Talend Database Components
The convergence of reporting and interactive BI on HadoopDataWorks Summit
Since the early days of Hive, SQL on Hadoop has evolved from being a SQL wrapper on top of MapReduce to a viable replacement for the traditional EDW. In the meantime, while SQL-on-Hadoop vendors were busy adding enterprise capabilities and comparing their TPC-DS prowess against Hive, a niche industry emerged on the side for OLAP (a.k.a. “Interactive BI”) on Hadoop data. Unlike general-purpose SQL-on-Hadoop engines, which deal with the multiple aspects of warehousing, including reporting, OLAP-on-Hadoop engines focus almost exclusively on answering OLAP queries fast by using implementation techniques that had not been part of the SQL-on-Hadoop toolbox so far.
But SQL-on-Hadoop engines are not standing still. After having made huge progress in catching up to traditional EDWs for reporting workloads, SQL-on-Hadoop engines are now setting their sights on interactive BI. This is great news for enterprises. As the line between reporting and OLAP gets blurred, enterprises can now start considering using a single engine for both reporting and Interactive BI on their Hadoop data, as opposed to having to host, manage, and license two separate products.
Can a single engine satisfy both your reporting and Interactive BI needs? This may be a hard question to answer. Vendors use inconsistent terminology to describe their products and make ambitious and sometimes conflicting claims. This makes it very hard for enterprises to compare products, let alone decide which is the product that best matches their needs.
In this presentation, we’ll provide an overview of the different approaches to OLAP on Hadoop, and explain the key technologies behind each of them. We’ll use consistent terminology to describe what you get from multiple proprietary and open source products and outline advantages and disadvantages. You’ll come out equipped with the knowledge you need to read past marketing and sales pitches. You’ll be able to compare products and make an informed decision on whether a single engine for both reporting and Interactive BI on Hadoop is right for you.
Speaker
Gustavo Arocena, Big Data Architect, IBM
Is It A Right Time For Me To Learn Hadoop. Find out ?Edureka!
Forrester predicts, CIOs who are late to the Hadoop game will finally make the platform a priority in 2015. Hadoop has evolved as a must-to-know technology and has been a reason for better career, salary and job opportunities for many professionals.
This workshop will provide a hands on introduction to basic Machine Learning techniques with Apache Spark ML using the cloud.
Format: A short introductory lecture on a select important supervised and unsupervised Machine Learning techniques followed by a demo, lab exercises and a Q&A session. The lecture will be followed by lab time to work through the lab exercises and ask questions.
Objective: To provide a quick and short hands-on introduction to Machine Learning with Spark ML. In the lab, you will use the following components: Apache Zeppelin (a “Modern Data Science Toolbox”) and Apache Spark. You will learn how to analyze the data, structure the data, train Machine Learning models and apply them to answer real-world questions.
Pre-requisites: Registrants must bring a laptop that can run the Hortonworks Data Cloud.
At this Crash Course everyone will have a cluster assigned to them to try several workloads using Machine Learning, Spark and Zeppelin on the cloud.
Speakers: Robert Hryniewicz
Hadoop and the Data Warehouse: When to Use Which DataWorks Summit
In recent years, Apache™ Hadoop® has emerged from humble beginnings to disrupt the traditional disciplines of information management. As with all technology innovation, hype is rampant, and data professionals are easily overwhelmed by diverse opinions and confusing messages.
Even seasoned practitioners sometimes miss the point, claiming for example that Hadoop replaces relational databases and is becoming the new data warehouse. It is easy to see where these claims originate since both Hadoop and Teradata® systems run in parallel, scale up to enormous data volumes and have shared-nothing architectures. At a conceptual level, it is easy to think they are interchangeable, but the differences overwhelm the similarities. This session will shed light on the differences and help architects, engineering executives, and data scientists identify when to deploy Hadoop and when it is best to use MPP relational database in a data warehouse, discovery platform, or other workload-specific applications.
Two of the most trusted experts in their fields, Steve Wooledge, VP of Product Marketing from Teradata and Jim Walker of Hortonworks will examine how big data technologies are being used today by practical big data practitioners.
Oracle PL/SQL 12c and 18c New Features + RADstack + Community SitesSteven Feuerstein
Slides presented at moug.org's August 2018 conference. Covers the RADstack (REST - APEX - Database) + our community sites (AskTOM, LiveSQL and Dev Gym) + a whole bunch of cool new PL/SQL features. Search LiveSQL.oracle.com for scripts to match up with the features presented.
Learn about IBM's Hadoop offering called BigInsights. We will look at the new features in version 4 (including a discussion on the Open Data Platform), review a couple of customer examples, talk about the overall offering and differentiators, and then provide a brief demonstration on how to get started quickly by creating a new cloud instance, uploading data, and generating a visualization using the built-in spreadsheet tooling called BigSheets.
Big Data Expo 2015 - Talend Delivering Real TimeBigDataExpo
Pioneers like Mint in the financial sector, Amazon in retail or Netflix in media proved that turning Big Data into actions and insights at the customer touch points delivers measurable outcomes – increased transformation rate, larger share of wallet, better customer acquisition, just in time fraud detection, etc. They showcased that it is possible today to put in place a platform for the management of customer data that is able to integrate and deliver information in real time, regardless of the interaction channel being used… and as a result establish the foundation to disrupt a whole industry with data driven processes.
Now, this Customer Data Platform is reaching the mainstream through affordable technologies such as Hadoop and Spark, if empowered with embedded data and application integration, data governance, master data management, analytics and real time data processing. This platform, sometimes referred as Customer Data Platform (CDP) or as a Data Management Platform (DMP), allows organizations to reconstruct the entire customer journey by centralizing and cross referencing interactional or internal data such as purchase history, preferences, satisfaction, and loyalty with social or external data that can uncover customer intention as well as broader habits and tastes.
In this presentation, attendees will get knowledge of the key components of the platform, how to implement it, and how to run it in the context of the enterprise marketing activities.
A changing market landscape and open source innovations are having a dramatic impact on the consumability and ease of use of data science tools. Join this session to learn about the impact these trends and changes will have on the future of data science. If you are a data scientist, or if your organization relies on cutting edge analytics, you won't want to miss this!
How Big Data and Hadoop Integrated into BMC ControlM at CARFAXBMC Software
Learn how CARFAX utilized the power of Control-M to help drive big data processing via Cloudera. See why it was a no-brainer to choose Control-M to help manage workflows through Hadoop, some of the challenges faced, and the benefits the business received by using an existing, enterprise-wide workload management system instead of choosing “yet another tool.”
Talend Data Integration Tutorial | Talend Tutorial For Beginners | Talend Onl...Edureka!
( Talend Training - https://www.edureka.co/talend-for-big... )
This Edureka PPT on Talend Data Integration Tutorial will help you in understanding the basic concepts of Talend and getting familiar with the Talend Open Studio which is an open source software provided by Talend to develop the ETL Jobs.
This video helps you to learn following topics:
1. What Is Talend?
2. Talend Open Studio
3. TOS Installation
4. TOS GUI
5. Talend Components & Connectors
6. Metadata & Context Variables
Intro to Hybrid Data Warehouse combines traditional Enterprise DW with Hadoop to create a complete data ecosystem. Learn the basics in this slide deck.
Teradata - Presentation at Hortonworks Booth - Strata 2014Hortonworks
Hortonworks and Teradata have partnered to provide a clear path to Big Analytics via stable and reliable Hadoop for the enterprise. The Teradata® Portfolio for Hadoop is a flexible offering of products and services for customers to integrate Hadoop into their data architecture while taking advantage of the world-class service and support Teradata provides.
HBaseCon 2013: Multi-tenant Apache HBase at Yahoo! Sumeet Singh
Yahoo! has been using HBase for a long time in isolated instances, most notably for the personalization platform powering its homepage experiences. The introduction of multi-tenancy has lowered the barriers for all Hadoop users to use HBase. We will cover traditional use cases for HBase at Yahoo!, and new use cases as a result in content management, advertising, log processing, analytics and reporting, recommendation graphs, and dimension data stores.
We will then talk about the deployment strategy and enhancements made that facilitate multi-tenancy. Region Server groups provide a coarse level of isolation among tenants by designating a subset of region servers to serve designated tables, and Namespaces for logical grouping of resources (region servers, tables) and privileges (quota, ACLs).
We'll also share our experiences in operating HBase with security enabled and contributions made in this area, and results from performance runs conducted to validate customer expectations in a multi-tenant environment.
URL: http://www.cloudera.com/content/cloudera/en/resources/library/hbasecon/hbasecon-2013--multi-tenant-apache-hbase-at-yahoo-video.html
Forrester predicts, CIOs who are late to the Hadoop game will finally make the platform a priority in 2015. Hadoop has evolved as a must-to-know technology and has been a reason for better career, salary and job opportunities for many professionals.
With the advent of Hadoop, there comes the need for professionals skilled in Hadoop Administration making it imperative to be skilled as a Hadoop Admin for better career, salary and job opportunities.
Forrester predicts, CIOs who are late to the Hadoop game will finally make the platform a priority in 2015. Hadoop has evolved as a must-to-know technology and has been a reason for better career, salary and job opportunities for many professionals.
5 Scenarios: When To Use & When Not to Use HadoopEdureka!
Forrester predicts, CIOs who are late to the Hadoop game will finally make the platform a priority in 2015. Hadoop has evolved as a must-to-know technology and has been a reason for better career, salary and job opportunities for many professionals.
With the advent of Hadoop, there comes the need for professionals skilled in Hadoop Administration making it imperative to be skilled as a Hadoop Admin for better career, salary and job opportunities.
Know how to setup a Hadoop Cluster With HDFS High Availability here : www.edureka.co/blog/how-to-set-up-hadoop-cluster-with-hdfs-high-availability/
With the advent of Hadoop, there comes the need for professionals skilled in Hadoop Administration making it imperative to be skilled as a Hadoop Admin for better career, salary and job opportunities.
With the advent of Hadoop, there comes the need for professionals skilled in Hadoop Administration making it imperative to be skilled as a Hadoop Admin for better career, salary and job opportunities.
With the advent of Hadoop, there comes the need for professionals skilled in Hadoop Administration making it imperative to be skilled as a Hadoop Admin for better career, salary and job opportunities.
The following blogs will help you understand the significance of Hadoop Administration training:
http://www.edureka.co/blog/why-should-you-go-for-hadoop-administration-course/
http://www.edureka.co/blog/how-to-become-a-hadoop-administrator/
http://www.edureka.co/blog/hadoop-admin-responsibilities/
Data Science : Make Smarter Business DecisionsEdureka!
Data Science training certifies you with ‘in demand’ Big Data Technologies to help you grab the top paying Data Science job title with Big Data skills and expertise in R programming, Machine Learning and Hadoop framework. A Data Scientist deals with all the phases of data life cycle ranging from Data Acquisition and Data Storage using R-Hadoop concepts, applying modelling through R programming using Machine learning algorithms and illustrate impeccable Data Visualization by leveraging on 'R' capabilities.
As organizations start migrating to Cloud to improve their operational efficiency and reduce cost, Amazon's Cloud Service is one the most sought out platforms for all Cloud needs. The Blog talks about Cloud Computing, its benefits, best practices in AWS and so on.
Starting Small and Scaling Big with Hadoop (Talend and Hortonworks webinar)) ...Hortonworks
No matter if you are new to Hadoop or have a mature cluster in production, scale will be a critical factor of your success with Hadoop. Are you ready to take the next big step as you scale out your data architecture?
Talend and Hortonworks discuss where we will help you learn how to implement an effective big data and Hadoop strategy across your IT infrastructure. You will learn:
How to grow a pilot into production
How to scale-out architecture & systems affordably
How to leverage the flexibility of Hadoop to optimize your data integration processes
Recording: http://www.talend.com/resources/webinars/starting-small-and-scaling-big-with-hadoop
Speakers: Nick Dimiduk (Hortonworks) and Nicolas Liochon (Scaled Risk)
HBase is an online database so response latency is critical. This talk will examine sources of latency in HBase, detailing steps along the read and write paths. We'll examine the entire request lifecycle, from client to server and back again. We'll also look at the different factors that impact latency, including GC, cache misses, and system failures. Finally, the talk will highlight some of the work done in 0.96+ to improve the reliability of HBase.
HBase Vs Cassandra Vs MongoDB - Choosing the right NoSQL databaseEdureka!
NoSQL includes a wide range of different database technologies and were developed as a result of surging volume of data stored. Relational databases are not capable of coping with this huge volume and faces agility challenges. This is where NoSQL databases have come in to play and are popular because of their features. The session covers the following topics to help you choose the right NoSQL databases:
Traditional databases
Challenges with traditional databases
CAP Theorem
NoSQL to the rescue
A BASE system
Choose the right NoSQL database
Implementing a Data Lake with Enterprise Grade Data GovernanceHortonworks
Hadoop provides a powerful platform for data science and analytics, where data engineers and data scientists can leverage myriad data from external and internal data sources to uncover new insight. Such power is also presenting a few new challenges. On the one hand, the business wants more and more self-service, and on the other hand IT is trying to keep up with the demand for data, while maintaining architecture and data governance standards.
In this webinar, Andrew Ahn, Data Governance Initiative Product Manager at Hortonworks, will address the gaps and offer best practices in providing end-to-end data governance in HDP. Andrew Ahn will be followed by Oliver Claude of Waterline Data, who will share a case study of how Waterline Data Inventory works with HDP in the Modern Data Architecture to automate the discovery of business and compliance metadata, data lineage, as well as data quality metrics.
Webinar : Talend : The Non-Programmer's Swiss Knife for Big DataEdureka!
Talend Open Studio (TOS) is a wonderful open source Data Integration (DI) tool used to build end-to-end ETL solutions. This course will not only help the beginners to understand the art of data integration but also equip them with Big Data skills in the smart way. This course also aims to educate you about Big Data through Talend's powerful product "Talend for Big Data" (the first Hadoop-based data integration platform). The topics covered in the presentation are:
1. Why ETL is still essential and arrival of Big Data is not the doom of ETL era
2.How and why ETL is using Talend
3.Talend complementing Hadoop Ecosystem? Adopting to ETL-Big Data industry
4.Learn Big Data not in months but in Minutes! Sounds too good?
Forrester predicts, CIOs who are late to the Hadoop game will finally make the platform a priority in 2015. Hadoop has evolved as a must-to-know technology and has been a reason for better career, salary and job opportunities for many professionals.
2015 02 12 talend hortonworks webinar challenges to hadoop adoptionHortonworks
Hadoop is no longer optional. Companies of all sizes are in various phases of their own Big Data journey. Whether you are just starting to explore the platform or have multiple clusters up and running, everyone is presented with a similar challenge - developing their internal skillset. Hadoop specialists are hard to find. Hand coding is too prone to error when it comes to storing, integrating or analyzing your data. However, it doesn’t need to be this difficult.
In this recorded webinar, Talend and Hortonworks help you learn how to unify all your data in Hadoop, with no specialized Big Data skills.
Find the recording here. www.talend.com/resources/webinars/challenges-to-hadoop-adoption-if-you-can-dream-it-you-can-build-it
This webinar covers: How Hadoop opens a new world of analytic applications, How to bridge the skills gap with our Big Data solutions, Experience a real-world, simple technical demo
Data has been increasing at an exponential rate and organizations are either struggling to cope up or rushing to take advantage by analyzing it. Hadoop is an excellent open source framework, which addresses this big data problem.
I have used Hadoop within the financial sector for the last few years but could not find any resource or book that explains the usage of Hadoop for finance use cases. The best books I have ever found are again on Hadoop, Hive, or some MapReduce patterns, with examples on counting words or Twitter messages in all possible ways.
I have written this book with the objective of explaining the basic usage of Hadoop and other products to tackle big data for finance use cases. I have touched base on the majority of use cases, providing a very practical approach.
The book sold on:
http://www.amazon.co.uk/381/dp/B00X3TVGJY/ref=tmm_kin_swatch_0?_encoding=UTF8&sr=&qid=
http://www.amazon.com/381/dp/B00X3TVGJY/ref=tmm_kin_swatch_0?_encoding=UTF8&sr=&qid=
http://www.amazon.in/381/dp/B00X3TVGJY/ref=tmm_kin_swatch_0?_encoding=UTF8&sr=&qid=
Leveraging research findings from EMA's 2012 "Big Data Comes of Age" Research Report, this new Infographic outlines the five business requirements driving Big Data solutions and the technologies that support those requirements.
How pig and hadoop fit in data processing architectureKovid Academy
Pig, developed by Yahoo research in 2006, enables programmers to write data transformation programs for Hadoop quickly and easily without the cost and complexity of map-reduce programs.
Client approaches to successfully navigate through the big data stormIBM Analytics
Hadoop is not a platform for data integration: As a result, some organizations turn to hand coding for integration – or end up deploying solutions that aren’t fully scalable. Review this Slideshare to learn about IBM client best practices for Big Data Integration success.
Coding software and tools used for data science management - PhdassistancephdAssistance1
The technique of extracting usable information from data is known as data science. This is the procedure for collecting, modelling and analysing, data in order to address real-world issues. Data Science tools have been developed as a result of the vast range of applications and rising demand. The following section goes through the greatest Data Science tools in detail.The most notable attribute of these tools is that they do not require the usage of programming languages to implement Data Science.
Read More: https://bit.ly/3rbp1Lb
For Enquiry:
India: +91 91769 66446
UK: +44 7537144372
Email: info@phdassistance.com
MammothDB is the first inexpensive enterprise analytics database, offered in the cloud or on-premises.
It's pointless to have big, or even medium sized data, if you don't have the ability to easily use and understand that data. We're making enterprise analytics accessible to every company in the world, particularly the under-served 88% of global companies that don't have enterprise analytics/business intelligence today.
Similar to Talend For Big Data : Secret Key to Hadoop (20)
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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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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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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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!
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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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
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
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.
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/
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
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.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
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/
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
2. Slide 2 www.edureka.co/talend-for-big-data
Understand how ETL is complementing Hadoop Ecosystem
Adapt to ETL-Big Data industry
Understand why Talend is used with Big Data
Learn Big Data not in months but in Minutes
Understand the Use Case – Banking Industry
Implement a Talend job with Hadoop
At the end of this session, you will be able to:
Objectives
3. Slide 3 www.edureka.co/talend-for-big-data
A Graphical Abstraction Layer on top of Hadoop Applications – this makes life so much easy in the Big Data buzz
world
The surprising stuff about the current buzz and questions heralding the end of ETL and even data warehousing
is the lack of pushback and analysis of some of the outlandish comments made
ETL with Big Data
» What no one seems to question in response to these sorts of comments is
the naive assumptions these statements are based on !!
» Is it realistic for most companies to move all of their data into Hadoop?
The typical assertion is that "Hadoop eliminates the need for ETL”…. Seriously ?
5. Slide 5 www.edureka.co/talend-for-big-data
Is writing ETL scripts in
MapReduce code still ETL?
Is ETL running faster (in
few cases & slower in
others) on Hadoop
eliminating ETL?
Is introduction of Hadoop
changing when, where
and how ETL happens?
Yes No Yes
The question isn't really that are we eliminating ETL, but where does ETL take place & how are we changing its definition
ETL with Big Data (Contd.)
6. Slide 6 www.edureka.co/talend-for-big-data
Defining ETL
E
• represents the ability to consistently and reliably extract data with
high performance and minimal impact to the source system
T
• represents the ability to transform one or more data sets in batch or
real-time into a consumable format
L • stands for loading data into a persistent or virtual data store
7. Slide 7 www.edureka.co/talend-for-big-data
How learning ETL (along Big Data) is addressing major business problems ?
Why ETL + Hadoop?
BIG DATA
DATA
INTEGRATION
DATA QUALITY MDM ESB BPM
TALEND UNIFIED PLATFORM
8. Slide 8 www.edureka.co/talend-for-big-data
One Stop Solution!!
Improves efficiency of big data job design with graphic interface
Abstract and generates code
Run transforms inside Hadoop
Native support for HDFS, Sqoop, HBase, Mahout, Pig, Hive &
MapReduce code generate
Apache License 2.0
Embedded in Hortonworks Data Platform
Certified with Cloudera, MapR and Grenplum
An open source ecosystem
10. Slide 10 www.edureka.co/talend-for-big-data
Talend is the only Graphical User Interface tool which is capable enough to “translate” an ETL job to a
MapReduce job. Thus, Talend ETL job gets executed as a MapReduce job on Hadoop and get the big data work
done in minutes
This is a key innovation which helps to reduce entry barriers in Big Data technology and allows ETL job
developers (beginners and advanced) to carry out Data Warehouse offloading to greater extent
With its Eclipse-based graphical workspace, Talend Open Studio for Big Data enables the developer and data
scientist to leverage Hadoop loading and processing technologies like HDFS, HBase, Hive, and Pig without
having to write Hadoop application code
Hadoop Applications, Seamlessly gets Integrated within minutes using Talend
Why Talend?
11. Slide 11 www.edureka.co/talend-for-big-data
By simply selecting graphical components from a palette, arranging and configuring them, you can create Hadoop jobs
For example:
1. Load data into HDFS (Hadoop Distributed File System)
2. Use Hadoop Pig to transform data in HDFS
3. Load data into a Hadoop Hive based data warehouse
4. Perform ELT (extract, load, transform) aggregations in Hive
5. Leverage Sqoop to integrate relational databases and Hadoop
Why Talend? (Contd.)
13. Slide 13 www.edureka.co/talend-for-big-data
For Hadoop applications to be truly accessible to your organization, they need to be smoothly integrated into your
overall data flows
Talend Open Studio for Big Data is the ideal tool for integrating Hadoop applications into your broader data
architecture
Talend provides more built-in connector components than any other data integration solution available, with more
than 800+ connectors that make it easy to read from or write to any major file format, database, or packaged
enterprise application
For Example, in Talend Open Studio for Big Data, you can use drag 'n drop configurable components to create data
integration flows that move data from delimited log files into Hadoop Hive, perform operations in Hive, and extract
data from Hive into a MySQL database (or Oracle, Sybase, SQL Server, and so on)
Talend Hadoop Integration (Contd.)
14. Slide 14 www.edureka.co/talend-for-big-data
More and more enterprise wanted to scale up in Hadoop/Big Data technologies with use of existing pool of
talent and reduce overspending on map-reduce programmer (which is pretty new and expensive)
High rise of job trend in Data Scientist/Data Analysis (Talend also comes along with basic BI transformations
which reduces your dependency on simple excel dash board/ BI tools)
Gartner is featuring Talend as the best technology in market for Data Integration and Big Data
3 major players in Big Data industry, Hortonworks, Cloudera, MapR have already tied up with Talend for big data
solutions
And mostly any level person in industry can quickly get started on this without much pre-requisites
Myth : I don’t know Java programming , how would this course help me learn and excel in Big Data? The biggest
advantage you get with Talend for Big Data is “there is no prerequisite” to learn this concept. Whether you come with
prior knowledge of Hadoop or not , this course has some or other best things to offer
Talend Hadoop Integration (Contd.)
15. Slide 15 www.edureka.co/talend-for-big-data
Learn Big Data not in months but in Minutes!! Sounds too good ? But true
Big Data in 10 minutes
HADOOP
HORTONWORKSMAPR
CLOUDERA Go from zero to big data in under 10 minutes
Get big data without coding. The Talend Big Data
Sandbox is a ready-to-run virtual environment that
includes Talend Platform for Big Data, popular
Hadoop distributions and data examples
17. Slide 17 www.edureka.co/talend-for-big-data
Let us all see quickly, what Talend
can do in minutes, reducing the
man-hours in doing MapReduce
programming in Hadoop, shall we?
We are just about to see the Bigger Picture
18. Slide 18 www.edureka.co/talend-for-big-data
A Banking industry use case :
“Addressing the challenges in growing the business with use of Big Data“ . We will use customer filled web-log data
(collected by bank) and with the help of Pig-ETL job will answer the question “where should bank hold marketing
campaigns for new product launch to get more business” , in ETL-Big Data Analytics style
In this section, you will be able to sense the true power of Talend+Big Data
Real time Use Case : ETL + Big Data
19. Slide 19 www.edureka.co/talend-for-big-data
Our use case setup is using the below :
» Hortonworks Sandbox 1.3
» Talend Open Studio for Big Data 5.5
» Windows 7 (64 Bit OS)
» Machine : 4GB RAM , i3 processor
Environment Setup
20. Slide 20 www.edureka.co/talend-for-big-data
Use-case demonstration has been divided into steps such as :
» Step 1:
Generate huge web-log data (we are generating our own source sample data to simulate real time data)
» Step 2:
Load the data from local file system to HDFS (Hadoop) in seconds
» Step 3:
Read from HDFS, Process via Pig Scripts and achieve results
Use case Design
22. Slide 22Slide 22Slide 22
Project
Use Case
A Leading bank has initiated a new product launch campaign across the cities.
Post campaign , the bank wants to analyze the collected data to increase
Business and attract more customer.
How quickly can the huge log files will be analysed and made some business
value out of it within seconds ?
Wanted to know , explore the “Talend for Big Data” and join us in the next
exciting webinar and see how beautifully talend does the trick without any
complex programming (because seeing is believing).
If that is not all enough , the same talend can generate graphical
interpretation of the business data giving tough time to Business Analytics
tools.
25. Slide 25 www.edureka.co/talend-for-big-data
Course Topics
Module 1
» Role of Open Source ETL Technologies in
Big Data
Module 2
» Talend: A Revolution in Big Data
Module 3
» Talend: Read & Write Various Types of
Source/Target Systems
Module 4
» Talend: How to Transform your Business:
Basic
Module 5
» Talend: How to Transform your Business:
Advanced 1
Module 6
» Talend: How to Transform your Business:
Advanced 2
Module 7
» Big Data Concepts: Required for Talend
for Big Data
Module 8
» Introduction to Talend for Big Data
Module 9
» Hive in Talend for Big Data
Module 10
» Pig in Talend for Big Data and Project
26. Slide 26
LIVE Online Class
Class Recording in LMS
24/7 Post Class Support
Module Wise Quiz
Project Work
Verifiable Certificate
www.edureka.co/talend-for-big-data
How it Works?