The document discusses challenges with enterprise search and different solutions companies use. It notes that while Google can effectively search the public web, searching internal corporate repositories is more difficult due to varied file formats, different search goals, and lack of clear relevance signals like links. Some companies use Google appliances, while others select specialized enterprise search tools that can better handle security, organization of complex results, and integration with internal systems and data sources. The article provides examples of companies that have implemented different enterprise search solutions.
This introductory presentation was delivered by Hadoop creator and Cloudera chief architect Doug Cutting at the December 3, 2013 Cloudera User Group (CUG) meeting.
IBM is helping companies leverage big data through its IBM big data platform and supercomputing capabilities. The document discusses how Vestas Wind Systems uses IBM's solution to analyze weather data and provide location site data in minutes instead of weeks from 2.8 petabytes to 24 petabytes of data. It also mentions how other customers like x+1, KTH Royal Institute of Technology, and University of Ontario-Institute of Technology are achieving growth, reducing traffic times, and improving patient outcomes respectively through big data analytics. The VP of IBM business development hopes readers will consider IBM for their big data challenges.
ADV Slides: The World in 2045 – What Has Artificial Intelligence Created?DATAVERSITY
How will technology and society change in the next 25 years? We have been discussing how technology has evolved in the last few years; in this episode, we look forward to the next 25 years.
The year 2045 may seem far away, but we already have predictions about the technological innovations prevalent in 2045. Hint: Artificial intelligence will have a huge impact.
The Evolving Role of the Data Engineer - Whitepaper | QuboleVasu S
A whitepaper about how the evolving data engineering profession helps data-driven companies work smarter and lower cloud costs with Qubole.
https://www.qubole.com/resources/white-papers/the-evolving-role-of-the-data-engineer
An introduction to IBM Data Lake by Mandy Chessell CBE FREng CEng FBCS, Distinguished Engineer & Master Inventor.
Learn more about IBM Data Lake: https://ibm.biz/Bdswi9
The top 7 trends in big data for 2015 are:
1) Cloud adoption will continue to grow dramatically as big data drives cloud growth.
2) Personal data preparation tools will make extracting, transforming, and loading (ETL) data easier.
3) NoSQL databases will continue gaining popularity for providing scale, flexibility, and faster querying of large data sets.
4) Hadoop will remain a key part of big data architectures, integrated by both legacy data storage vendors and new players.
5) Interest in the "data lake" concept of large unrefined data stores will grow as companies seek to effectively manage massive amounts of incoming data.
6) The big data ecosystem will start to change as
Protecting data privacy in analytics and machine learning ISACA London UKUlf Mattsson
This document discusses privacy-preserving techniques for machine learning and analytics such as homomorphic encryption, secure multi-party computation, differential privacy, and trusted execution environments. It provides examples of how these techniques can be applied, including allowing sensitive financial and healthcare data to be analyzed while preserving privacy. The document also outlines regulatory requirements around data privacy and international standards that techniques must comply with to protect sensitive information.
The document discusses challenges with enterprise search and different solutions companies use. It notes that while Google can effectively search the public web, searching internal corporate repositories is more difficult due to varied file formats, different search goals, and lack of clear relevance signals like links. Some companies use Google appliances, while others select specialized enterprise search tools that can better handle security, organization of complex results, and integration with internal systems and data sources. The article provides examples of companies that have implemented different enterprise search solutions.
This introductory presentation was delivered by Hadoop creator and Cloudera chief architect Doug Cutting at the December 3, 2013 Cloudera User Group (CUG) meeting.
IBM is helping companies leverage big data through its IBM big data platform and supercomputing capabilities. The document discusses how Vestas Wind Systems uses IBM's solution to analyze weather data and provide location site data in minutes instead of weeks from 2.8 petabytes to 24 petabytes of data. It also mentions how other customers like x+1, KTH Royal Institute of Technology, and University of Ontario-Institute of Technology are achieving growth, reducing traffic times, and improving patient outcomes respectively through big data analytics. The VP of IBM business development hopes readers will consider IBM for their big data challenges.
ADV Slides: The World in 2045 – What Has Artificial Intelligence Created?DATAVERSITY
How will technology and society change in the next 25 years? We have been discussing how technology has evolved in the last few years; in this episode, we look forward to the next 25 years.
The year 2045 may seem far away, but we already have predictions about the technological innovations prevalent in 2045. Hint: Artificial intelligence will have a huge impact.
The Evolving Role of the Data Engineer - Whitepaper | QuboleVasu S
A whitepaper about how the evolving data engineering profession helps data-driven companies work smarter and lower cloud costs with Qubole.
https://www.qubole.com/resources/white-papers/the-evolving-role-of-the-data-engineer
An introduction to IBM Data Lake by Mandy Chessell CBE FREng CEng FBCS, Distinguished Engineer & Master Inventor.
Learn more about IBM Data Lake: https://ibm.biz/Bdswi9
The top 7 trends in big data for 2015 are:
1) Cloud adoption will continue to grow dramatically as big data drives cloud growth.
2) Personal data preparation tools will make extracting, transforming, and loading (ETL) data easier.
3) NoSQL databases will continue gaining popularity for providing scale, flexibility, and faster querying of large data sets.
4) Hadoop will remain a key part of big data architectures, integrated by both legacy data storage vendors and new players.
5) Interest in the "data lake" concept of large unrefined data stores will grow as companies seek to effectively manage massive amounts of incoming data.
6) The big data ecosystem will start to change as
Protecting data privacy in analytics and machine learning ISACA London UKUlf Mattsson
This document discusses privacy-preserving techniques for machine learning and analytics such as homomorphic encryption, secure multi-party computation, differential privacy, and trusted execution environments. It provides examples of how these techniques can be applied, including allowing sensitive financial and healthcare data to be analyzed while preserving privacy. The document also outlines regulatory requirements around data privacy and international standards that techniques must comply with to protect sensitive information.
BigData Meets the Federal Data Center - an overview of nosql solutions to data challenges (e.g. Hadoop, Hbase, Mongodb, cassandra, redis etc). Also includes a vignette on Google Prediction API.
Where the Warehouse Ends: A New Age of Information AccessInside Analysis
The document provides information about an upcoming webinar hosted by The Briefing Room. The webinar will feature David Besemer, CTO of Composite Software, who will discuss how Composite addresses the challenges of data integration and providing data for analytics. The webinar aims to explain how Composite's data virtualization platform can help analysts more easily access and work with data from various sources through self-service analytic sandboxes and data hubs. The webinar also hopes to demonstrate how Composite can help organizations gain business insights faster while reducing costs compared to traditional data integration and warehousing approaches.
AWS Summit 2013 | Singapore - Delivering Search for Today's Local, Social, an...Amazon Web Services
As more organizations seek to leverage the power and benefits of the cloud, they also need to combine new systems with exiting on-premises systems. Services such as Virtual Private Cloud, VPN and DirectConnect enable AWS customers to combine on-premises and cloud-based resources easily and effectively. This session will walk customers through the 4 main patterns of connectivity and will include a ""real time"" demonstration of how easy it is to setup your own VPC and start working in your own private section of the AWS Cloud.
This document provides case studies on how several companies leverage big data, including Google, GE, Cornerstone, and Microsoft. The Google case study describes how Google processes billions of search queries daily and uses this data to continuously improve its search algorithms. The GE case study outlines how GE collects vast amounts of sensor data from power turbines, jet engines, and other industrial equipment to optimize operations and efficiency. The Cornerstone case study examines how Cornerstone uses employee data to help clients predict retention and performance. Finally, the Microsoft case study discusses how Microsoft has positioned itself as a major player in big data and offers data hosting and analytics services.
Open Source and the New Economics of IT - Ingres CIO Doug HarrAlfresco Software
http://blogs.alfresco.com/wp/webcasts
Open source ECM is proven to :
* Lower Total Cost of Ownership
* Eliminate licensing fees and vendor lock-in
* Deliver faster proofs-of-concept
* Provide a complete solution for managing all enterprise content
Many companies are already leveraging open source ECM to take control of their ever growing business content at a fraction of the cost of proprietary ECM market solutions and without the danger of vendor lock-in.
The Ingres ECM Bundle for Alfresco enables innovative document management, team collaboration, and knowledge management applications.
Basing the ECM solution on Ingres Database guarantees unique high availability features that make compliance with auditing requirements an easier task, and cost much less.
Ingres CIO Doug Harr shares examples on how he uses content management solutions from Alfresco.
He also discusses the significant trends affecting the IT market today.
Embracing The New Economics of IT by adopting open source ECM will help companies to:
* better maintain their systems during the economic downturn,
* keep essential projects alive, and
* pursue innovation that can help guarantee a competitive advantage when conditions improve.
Aziksa hadoop for buisness users2 santosh jhaData Con LA
This document discusses big data, including its drivers, characteristics, use cases across different industries, and lessons learned. It provides examples of companies like Etsy, Macy's, Canadian Pacific, and Salesforce that are using big data to gain insights, increase revenues, reduce costs and improve customer experiences. Big data is being used across industries like financial services, healthcare, manufacturing, and media/entertainment for applications such as customer profiling, fraud detection, operations optimization, and dynamic pricing. While big data projects show strong financial benefits, the document cautions that not all projects are well-structured and Hadoop alone is not sufficient to meet all business analysis needs.
Welcome to big data use case course. In this course we will talk about what is big data? Who are using it and at the end we will share the lessons learnt from the early adopters. Big Data is an umbrella term used to refer the technology behind collecting and analyzing large volume of data at a fast speed. In last few years, number of devices and services customers use, have increased multi fold. As customers are using more of every thing, they are creating more data. By inter connecting these data, you can know your customer better and provide a better service. Big Data helps you in storing and connecting these data.
eMarketing Techniques Conference_Google Tools May2 GoebelCorporate College
Dave Goebel, President of the Goebel Group, presents Free tools you can use from Google, at the eMarketing Techniques Conference at Corporate College. Brought to you by the Key Entrepreneur Development Center.
Google Cloud Platform & rockPlace Big Data Event-Mar.31.2016Chris Jang
This document discusses Google Cloud Platform and its data and analytics capabilities. It begins by explaining the evolution of cloud computing models from virtualized data centers to true on-demand cloud services. It then highlights some of Google Cloud Platform's key differentiators like true cloud economics, future-proof infrastructure, access to innovation, and Google-grade security. The document provides overviews of Google Cloud Platform's storage, database, big data, and machine learning offerings and common use cases for each. It also showcases some of Google's innovations in data analytics and machine learning technologies.
The document discusses GS1 Digital, a new GS1 standard for communicating product information like GTIN and attributes in a computer-readable format online. GS1 Digital will improve online product search accuracy and allow aggregation of third-party reviews. It benefits consumers through better search results and businesses through increased sales and lower costs. While support for GS1 Digital is growing, more participation is needed from manufacturers and search engines. The presented work on Oliot also utilizes GS1 infrastructure to identify and track objects online and extends GS1 standards for IoT applications.
Using Information Technology to Engage in Electronic CommerceElla Mae Ayen
As today’s business executives develop strategic business plans for their firms, they have an option that was not available a few years ago. Firms can engage in electronic commerce the use of the computer as a primary toll for performing the basic business operations. Firms engage in electronic commerce for a variety of reasons, but the overriding objective is competitive advantage.
- Firms are increasingly engaging in electronic commerce to gain competitive advantages such as improved customer service, improved supplier relationships, and increased returns for stockholders.
- Electronic commerce can be defined narrowly as online business transactions with customers and suppliers. The main benefits firms expect from electronic commerce are improved customer service, improved supplier relationships, and increased returns for investors.
- Initially, firms were hesitant to adopt electronic commerce due to high costs, security concerns, and immature software. However, these constraints are decreasing over time as technology advances and becomes more affordable and secure.
The document discusses how automotive companies can gain a competitive advantage by leveraging big data analytics to better understand customer demand, monitor corporate performance, and identify new opportunities. It provides examples of how General Motors, Ford, and Toyota are already using big data from sensors in vehicles and other sources to improve products and services. The document argues that tapping large sources of data will help automotive companies find new ways to differentiate themselves and stay ahead in a highly competitive industry.
The document describes a proof of concept (POC) technical solution for a real estate company to analyze large amounts of web activity and customer data. The POC proposed loading one year of data from six tables into an Amazon cloud Hadoop environment and using Datameer for data discovery and analytics. The goals were to set up the cloud environment, load the search analytics data, and allow the business to perform analytics with acceptable performance and gain new insights. High-level and detailed descriptions of the technical solution are provided.
Activating Big Data: The Key To Success with Machine Learning Advanced Analyt...Vasu S
A whitepaper of Qubole that How to make all of your data available to users for a multitude of use cases, ranging from analytics to machine learning and artificial intelligence.
https://www.qubole.com/resources/white-papers/activating-big-data-the-key-to-success-with-machine-learning-advanced-analytics
This document provides an overview and agenda for a presentation on how Google handles big data. The presentation covers Google Cloud Platform and how it can be used to run Hadoop clusters on Google Compute Engine and leverage BigQuery for analytics. It also discusses how Google processes big data internally using technologies like MapReduce, BigTable and Dremel and how these concepts apply to customer use cases.
Google's enterprise search appliances provide accurate and fast site search results that improve the customer experience. Poor site search can cause 80% of visitors to abandon a site, while effective search increases sales and reduces customer support costs. Google's plug-and-play appliances are easy to deploy, require no ongoing maintenance fees, and cut IT overhead compared to other search solutions.
Anzo Smart Data Lake 4.0 - a Data Lake Platform for the Enterprise Informatio...Cambridge Semantics
Only with a rich and interactive semantic layer can your data and analytics stack deliver true on-demand access to data, answers and insights - weaving data together from across the enterprise into an information fabric. In this webinar we introduce Anzo Smart Data Lake 4.0, which provides that rich and interactive semantic layer to your data.
What is a Connected Business? Its a business where all parts of the value chain can interact digitally.
This presentation talks about how to create a Connected Business, how APIs, Cloud and Mobile can create and enhance new business models.
Covered in the session is:
* The importance of APIs to your organization
* How Cloud development can be transformative
* How to integrate Mobile and IoT to create a Connected Business
* How companies have connected their ecosystems
This document discusses the future of big data, including predictions such as machine learning becoming prominent and data scientists being in high demand. It outlines trends like the growth of open source technologies, in-memory computing, machine learning, predictive analytics, intelligent applications, integrating big data with security and the internet of things. Challenges mentioned include dealing with large amounts of data from IoT and high salaries for data professionals.
BigData Meets the Federal Data Center - an overview of nosql solutions to data challenges (e.g. Hadoop, Hbase, Mongodb, cassandra, redis etc). Also includes a vignette on Google Prediction API.
Where the Warehouse Ends: A New Age of Information AccessInside Analysis
The document provides information about an upcoming webinar hosted by The Briefing Room. The webinar will feature David Besemer, CTO of Composite Software, who will discuss how Composite addresses the challenges of data integration and providing data for analytics. The webinar aims to explain how Composite's data virtualization platform can help analysts more easily access and work with data from various sources through self-service analytic sandboxes and data hubs. The webinar also hopes to demonstrate how Composite can help organizations gain business insights faster while reducing costs compared to traditional data integration and warehousing approaches.
AWS Summit 2013 | Singapore - Delivering Search for Today's Local, Social, an...Amazon Web Services
As more organizations seek to leverage the power and benefits of the cloud, they also need to combine new systems with exiting on-premises systems. Services such as Virtual Private Cloud, VPN and DirectConnect enable AWS customers to combine on-premises and cloud-based resources easily and effectively. This session will walk customers through the 4 main patterns of connectivity and will include a ""real time"" demonstration of how easy it is to setup your own VPC and start working in your own private section of the AWS Cloud.
This document provides case studies on how several companies leverage big data, including Google, GE, Cornerstone, and Microsoft. The Google case study describes how Google processes billions of search queries daily and uses this data to continuously improve its search algorithms. The GE case study outlines how GE collects vast amounts of sensor data from power turbines, jet engines, and other industrial equipment to optimize operations and efficiency. The Cornerstone case study examines how Cornerstone uses employee data to help clients predict retention and performance. Finally, the Microsoft case study discusses how Microsoft has positioned itself as a major player in big data and offers data hosting and analytics services.
Open Source and the New Economics of IT - Ingres CIO Doug HarrAlfresco Software
http://blogs.alfresco.com/wp/webcasts
Open source ECM is proven to :
* Lower Total Cost of Ownership
* Eliminate licensing fees and vendor lock-in
* Deliver faster proofs-of-concept
* Provide a complete solution for managing all enterprise content
Many companies are already leveraging open source ECM to take control of their ever growing business content at a fraction of the cost of proprietary ECM market solutions and without the danger of vendor lock-in.
The Ingres ECM Bundle for Alfresco enables innovative document management, team collaboration, and knowledge management applications.
Basing the ECM solution on Ingres Database guarantees unique high availability features that make compliance with auditing requirements an easier task, and cost much less.
Ingres CIO Doug Harr shares examples on how he uses content management solutions from Alfresco.
He also discusses the significant trends affecting the IT market today.
Embracing The New Economics of IT by adopting open source ECM will help companies to:
* better maintain their systems during the economic downturn,
* keep essential projects alive, and
* pursue innovation that can help guarantee a competitive advantage when conditions improve.
Aziksa hadoop for buisness users2 santosh jhaData Con LA
This document discusses big data, including its drivers, characteristics, use cases across different industries, and lessons learned. It provides examples of companies like Etsy, Macy's, Canadian Pacific, and Salesforce that are using big data to gain insights, increase revenues, reduce costs and improve customer experiences. Big data is being used across industries like financial services, healthcare, manufacturing, and media/entertainment for applications such as customer profiling, fraud detection, operations optimization, and dynamic pricing. While big data projects show strong financial benefits, the document cautions that not all projects are well-structured and Hadoop alone is not sufficient to meet all business analysis needs.
Welcome to big data use case course. In this course we will talk about what is big data? Who are using it and at the end we will share the lessons learnt from the early adopters. Big Data is an umbrella term used to refer the technology behind collecting and analyzing large volume of data at a fast speed. In last few years, number of devices and services customers use, have increased multi fold. As customers are using more of every thing, they are creating more data. By inter connecting these data, you can know your customer better and provide a better service. Big Data helps you in storing and connecting these data.
eMarketing Techniques Conference_Google Tools May2 GoebelCorporate College
Dave Goebel, President of the Goebel Group, presents Free tools you can use from Google, at the eMarketing Techniques Conference at Corporate College. Brought to you by the Key Entrepreneur Development Center.
Google Cloud Platform & rockPlace Big Data Event-Mar.31.2016Chris Jang
This document discusses Google Cloud Platform and its data and analytics capabilities. It begins by explaining the evolution of cloud computing models from virtualized data centers to true on-demand cloud services. It then highlights some of Google Cloud Platform's key differentiators like true cloud economics, future-proof infrastructure, access to innovation, and Google-grade security. The document provides overviews of Google Cloud Platform's storage, database, big data, and machine learning offerings and common use cases for each. It also showcases some of Google's innovations in data analytics and machine learning technologies.
The document discusses GS1 Digital, a new GS1 standard for communicating product information like GTIN and attributes in a computer-readable format online. GS1 Digital will improve online product search accuracy and allow aggregation of third-party reviews. It benefits consumers through better search results and businesses through increased sales and lower costs. While support for GS1 Digital is growing, more participation is needed from manufacturers and search engines. The presented work on Oliot also utilizes GS1 infrastructure to identify and track objects online and extends GS1 standards for IoT applications.
Using Information Technology to Engage in Electronic CommerceElla Mae Ayen
As today’s business executives develop strategic business plans for their firms, they have an option that was not available a few years ago. Firms can engage in electronic commerce the use of the computer as a primary toll for performing the basic business operations. Firms engage in electronic commerce for a variety of reasons, but the overriding objective is competitive advantage.
- Firms are increasingly engaging in electronic commerce to gain competitive advantages such as improved customer service, improved supplier relationships, and increased returns for stockholders.
- Electronic commerce can be defined narrowly as online business transactions with customers and suppliers. The main benefits firms expect from electronic commerce are improved customer service, improved supplier relationships, and increased returns for investors.
- Initially, firms were hesitant to adopt electronic commerce due to high costs, security concerns, and immature software. However, these constraints are decreasing over time as technology advances and becomes more affordable and secure.
The document discusses how automotive companies can gain a competitive advantage by leveraging big data analytics to better understand customer demand, monitor corporate performance, and identify new opportunities. It provides examples of how General Motors, Ford, and Toyota are already using big data from sensors in vehicles and other sources to improve products and services. The document argues that tapping large sources of data will help automotive companies find new ways to differentiate themselves and stay ahead in a highly competitive industry.
The document describes a proof of concept (POC) technical solution for a real estate company to analyze large amounts of web activity and customer data. The POC proposed loading one year of data from six tables into an Amazon cloud Hadoop environment and using Datameer for data discovery and analytics. The goals were to set up the cloud environment, load the search analytics data, and allow the business to perform analytics with acceptable performance and gain new insights. High-level and detailed descriptions of the technical solution are provided.
Activating Big Data: The Key To Success with Machine Learning Advanced Analyt...Vasu S
A whitepaper of Qubole that How to make all of your data available to users for a multitude of use cases, ranging from analytics to machine learning and artificial intelligence.
https://www.qubole.com/resources/white-papers/activating-big-data-the-key-to-success-with-machine-learning-advanced-analytics
This document provides an overview and agenda for a presentation on how Google handles big data. The presentation covers Google Cloud Platform and how it can be used to run Hadoop clusters on Google Compute Engine and leverage BigQuery for analytics. It also discusses how Google processes big data internally using technologies like MapReduce, BigTable and Dremel and how these concepts apply to customer use cases.
Google's enterprise search appliances provide accurate and fast site search results that improve the customer experience. Poor site search can cause 80% of visitors to abandon a site, while effective search increases sales and reduces customer support costs. Google's plug-and-play appliances are easy to deploy, require no ongoing maintenance fees, and cut IT overhead compared to other search solutions.
Anzo Smart Data Lake 4.0 - a Data Lake Platform for the Enterprise Informatio...Cambridge Semantics
Only with a rich and interactive semantic layer can your data and analytics stack deliver true on-demand access to data, answers and insights - weaving data together from across the enterprise into an information fabric. In this webinar we introduce Anzo Smart Data Lake 4.0, which provides that rich and interactive semantic layer to your data.
What is a Connected Business? Its a business where all parts of the value chain can interact digitally.
This presentation talks about how to create a Connected Business, how APIs, Cloud and Mobile can create and enhance new business models.
Covered in the session is:
* The importance of APIs to your organization
* How Cloud development can be transformative
* How to integrate Mobile and IoT to create a Connected Business
* How companies have connected their ecosystems
This document discusses the future of big data, including predictions such as machine learning becoming prominent and data scientists being in high demand. It outlines trends like the growth of open source technologies, in-memory computing, machine learning, predictive analytics, intelligent applications, integrating big data with security and the internet of things. Challenges mentioned include dealing with large amounts of data from IoT and high salaries for data professionals.
4. “ The Biggest Data Center Boom in History” Source: Forbes.com http://www.forbes.com/technology/2008/08/10/cio-cheap-servers-tech-cio-cx_kb_0811servers.html “ To meet demands of additional servers, many additional data centers will be built at the tune of $100-$500 million each.”
5. Search’s Glutinous Power Appetite “ The total of electricity consumed by major search engines in 2006 approaches 5 gigawatts…Five gigawatts is almost enough to power the Las Vegas metropolitan area – with all its hotels, casinos, restaurants, and convention centers”** Why is Ask’s 500,000 sf server farm facility one-third empty? "We ran out of power before we ran out of space," says search operations manager James Snow.** ** http://www.wired.com/wired/archive/14.10/cloudware.html?pg=3&topic=cloudware&topic_set=
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7. Perfect Search Scalable Across These Applications 06/06/09 Perfect Search Corporation - Confidential Smartphone GPS Enterprise Search PDA Internet Search
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17. Perfect Search Database Extender for the Google Search Appliance (v1.0) Google Search Appliance Crawler Database Connector Web page Web Browser Federator Feed Perfect Search Database Extender Feed Crawler Oracle MS SQL IBM DB2
18. ACME Inc. “What If” Case Study ACME Co. has database records of 300 million.