SlideShare a Scribd company logo
1 of 12
Download to read offline
Avoid proprietary lock-in. BigInsights is based on standard
Hadoop 2.2.0 and includes the rich tools that Hadoop users
expect. Where IBM does provide value-added features, they
are carefully implemented so that customers have a choice
whether to use IBM enhancements or standard Hadoop
functionality.
While some Hadoop vendors are building their own SQL-on-
Hadoop implementations from scratch, Big SQL is ANSI
compliant, lightning fast and runs on native Hadoop file
formats. Brought to you by the inventors of SQL, Big SQL
provides federated access so customers can query IBM and
third party data sources with the same feature rich SQL.
Shockingly, there are those who prefer not to code in
Java or write Pig scripts to get data from Hadoop.
BigSheets provides an easy-to-use spreadsheet interface
allowing business users to extract, manipulate and
visualize data from a variety of Hadoop and non-Hadoop
data sources.
Building applications able to extract meaning from text is
hard. Rather than build your own solution, stand on the
shoulders of the inventors of Watson, the reigning Jeopardy
champ. Build your own advanced analytic applications,
parse jargon-laden text in multiple languages, and do what
your competitors cannot.
While all the hoopla is around Spark just now, there is
still a lot of MapReduce out there. Leverage IBM’s
leadership in super-computing with a low-latency, 100%
Hadoop compatible MapReduce implementation from
Platform Computing proven in audited benchmarks to
boost performance on average by a factor of four.
The whole point of Hadoop is to move the compute to the
data, but IBM takes this to the next level with native analytic
functions accessible from R, SQL and other languages.
Provide seamless access to advanced in Hadoop statistical
and machine learning functions avoiding the cost and
complexity of software development and additional tooling.
Hadoop professionals know what may surprise their
management. Most HDFS implementations are not POSIX
compliant. This means data is frequently copied between file
systems. Allow Hadoop and non-Hadoop applications to
share the same files with GPFS FPO. Reduce storage costs,
accelerate workflows, and realize other benefits as well.
It seems that everyone has a solution for R on Hadoop.
What’s unique about Big R is that it implements standard
R-language functions for parallel processing, supports
routines available from the Comprehensive R Archive
Network (CRAN), it uses standard R developer tools, and
supports advanced machine analytic functions in R.
We’re fans of Apache Solr and Lucene too and both are
fully supported in BigInsights. For customers that need to
search data in other enterprise data-sources as well, IBM
Watson Explorer may be the better mouse trap you’ve been
looking for. Build rich interfaces, and search and visualize
not just Hadoop resident data, but all your data.
Whether you are a Telco parsing CDRs, a service provider
analyzing log files, or a business incorporating social data
into your applications, IBM has you covered. Leverage
BigInsights’ easy to implement accelerators and rich
developer tools to get productive fast building high-quality
applications.
Non-production, no-limit version
of IBM InfoSphere BigInsights
http://IBM.co/QuickStart
Try it for free!

More Related Content

What's hot

Hadoop Reporting and Analysis - Jaspersoft
Hadoop Reporting and Analysis - JaspersoftHadoop Reporting and Analysis - Jaspersoft
Hadoop Reporting and Analysis - JaspersoftHortonworks
 
Introduction to Microsoft Azure HD Insight by Dattatrey Sindhol
Introduction to Microsoft Azure HD Insight by Dattatrey Sindhol Introduction to Microsoft Azure HD Insight by Dattatrey Sindhol
Introduction to Microsoft Azure HD Insight by Dattatrey Sindhol HARMAN Services
 
2014.07.11 biginsights data2014
2014.07.11 biginsights data20142014.07.11 biginsights data2014
2014.07.11 biginsights data2014Wilfried Hoge
 
C* Summit EU 2013: Leveraging the Power of Cassandra: Operational Reporting a...
C* Summit EU 2013: Leveraging the Power of Cassandra: Operational Reporting a...C* Summit EU 2013: Leveraging the Power of Cassandra: Operational Reporting a...
C* Summit EU 2013: Leveraging the Power of Cassandra: Operational Reporting a...DataStax Academy
 
Scaling Data Science on Big Data
Scaling Data Science on Big DataScaling Data Science on Big Data
Scaling Data Science on Big DataDataWorks Summit
 
Breakout: Hadoop and the Operational Data Store
Breakout: Hadoop and the Operational Data StoreBreakout: Hadoop and the Operational Data Store
Breakout: Hadoop and the Operational Data StoreCloudera, Inc.
 
Empowering you with Democratized Data Access, Data Science and Machine Learning
Empowering you with Democratized Data Access, Data Science and Machine LearningEmpowering you with Democratized Data Access, Data Science and Machine Learning
Empowering you with Democratized Data Access, Data Science and Machine LearningDataWorks Summit
 
Democratizing Data Science on Kubernetes
Democratizing Data Science on Kubernetes Democratizing Data Science on Kubernetes
Democratizing Data Science on Kubernetes John Archer
 
Securing your Big Data Environments in the Cloud
Securing your Big Data Environments in the CloudSecuring your Big Data Environments in the Cloud
Securing your Big Data Environments in the CloudDataWorks Summit
 
Designing Data Pipelines for Automous and Trusted Analytics
Designing Data Pipelines for Automous and Trusted AnalyticsDesigning Data Pipelines for Automous and Trusted Analytics
Designing Data Pipelines for Automous and Trusted AnalyticsDataWorks Summit
 
IlOUG Tech Days 2016 - Unlock the Value in your Data Reservoir using Oracle B...
IlOUG Tech Days 2016 - Unlock the Value in your Data Reservoir using Oracle B...IlOUG Tech Days 2016 - Unlock the Value in your Data Reservoir using Oracle B...
IlOUG Tech Days 2016 - Unlock the Value in your Data Reservoir using Oracle B...Mark Rittman
 
Microsoft and Hortonworks Delivers the Modern Data Architecture for Big Data
Microsoft and Hortonworks Delivers the Modern Data Architecture for Big DataMicrosoft and Hortonworks Delivers the Modern Data Architecture for Big Data
Microsoft and Hortonworks Delivers the Modern Data Architecture for Big DataHortonworks
 
Hadoop Integration into Data Warehousing Architectures
Hadoop Integration into Data Warehousing ArchitecturesHadoop Integration into Data Warehousing Architectures
Hadoop Integration into Data Warehousing ArchitecturesHumza Naseer
 
Planing and optimizing data lake architecture
Planing and optimizing data lake architecturePlaning and optimizing data lake architecture
Planing and optimizing data lake architectureMilos Milovanovic
 
Machine Learning for z/OS
Machine Learning for z/OSMachine Learning for z/OS
Machine Learning for z/OSCuneyt Goksu
 
Oracle PL/SQL 12c and 18c New Features + RADstack + Community Sites
Oracle PL/SQL 12c and 18c New Features + RADstack + Community SitesOracle PL/SQL 12c and 18c New Features + RADstack + Community Sites
Oracle PL/SQL 12c and 18c New Features + RADstack + Community SitesSteven Feuerstein
 
Big Data: InterConnect 2016 Session on Getting Started with Big Data Analytics
Big Data:  InterConnect 2016 Session on Getting Started with Big Data AnalyticsBig Data:  InterConnect 2016 Session on Getting Started with Big Data Analytics
Big Data: InterConnect 2016 Session on Getting Started with Big Data AnalyticsCynthia Saracco
 
Building a Big Data platform with the Hadoop ecosystem
Building a Big Data platform with the Hadoop ecosystemBuilding a Big Data platform with the Hadoop ecosystem
Building a Big Data platform with the Hadoop ecosystemGregg Barrett
 
Introduction to Designing and Building Big Data Applications
Introduction to Designing and Building Big Data ApplicationsIntroduction to Designing and Building Big Data Applications
Introduction to Designing and Building Big Data ApplicationsCloudera, Inc.
 

What's hot (20)

Hadoop Reporting and Analysis - Jaspersoft
Hadoop Reporting and Analysis - JaspersoftHadoop Reporting and Analysis - Jaspersoft
Hadoop Reporting and Analysis - Jaspersoft
 
Introduction to Microsoft Azure HD Insight by Dattatrey Sindhol
Introduction to Microsoft Azure HD Insight by Dattatrey Sindhol Introduction to Microsoft Azure HD Insight by Dattatrey Sindhol
Introduction to Microsoft Azure HD Insight by Dattatrey Sindhol
 
2014.07.11 biginsights data2014
2014.07.11 biginsights data20142014.07.11 biginsights data2014
2014.07.11 biginsights data2014
 
C* Summit EU 2013: Leveraging the Power of Cassandra: Operational Reporting a...
C* Summit EU 2013: Leveraging the Power of Cassandra: Operational Reporting a...C* Summit EU 2013: Leveraging the Power of Cassandra: Operational Reporting a...
C* Summit EU 2013: Leveraging the Power of Cassandra: Operational Reporting a...
 
Scaling Data Science on Big Data
Scaling Data Science on Big DataScaling Data Science on Big Data
Scaling Data Science on Big Data
 
Breakout: Hadoop and the Operational Data Store
Breakout: Hadoop and the Operational Data StoreBreakout: Hadoop and the Operational Data Store
Breakout: Hadoop and the Operational Data Store
 
Empowering you with Democratized Data Access, Data Science and Machine Learning
Empowering you with Democratized Data Access, Data Science and Machine LearningEmpowering you with Democratized Data Access, Data Science and Machine Learning
Empowering you with Democratized Data Access, Data Science and Machine Learning
 
Democratizing Data Science on Kubernetes
Democratizing Data Science on Kubernetes Democratizing Data Science on Kubernetes
Democratizing Data Science on Kubernetes
 
Big Data in Azure
Big Data in AzureBig Data in Azure
Big Data in Azure
 
Securing your Big Data Environments in the Cloud
Securing your Big Data Environments in the CloudSecuring your Big Data Environments in the Cloud
Securing your Big Data Environments in the Cloud
 
Designing Data Pipelines for Automous and Trusted Analytics
Designing Data Pipelines for Automous and Trusted AnalyticsDesigning Data Pipelines for Automous and Trusted Analytics
Designing Data Pipelines for Automous and Trusted Analytics
 
IlOUG Tech Days 2016 - Unlock the Value in your Data Reservoir using Oracle B...
IlOUG Tech Days 2016 - Unlock the Value in your Data Reservoir using Oracle B...IlOUG Tech Days 2016 - Unlock the Value in your Data Reservoir using Oracle B...
IlOUG Tech Days 2016 - Unlock the Value in your Data Reservoir using Oracle B...
 
Microsoft and Hortonworks Delivers the Modern Data Architecture for Big Data
Microsoft and Hortonworks Delivers the Modern Data Architecture for Big DataMicrosoft and Hortonworks Delivers the Modern Data Architecture for Big Data
Microsoft and Hortonworks Delivers the Modern Data Architecture for Big Data
 
Hadoop Integration into Data Warehousing Architectures
Hadoop Integration into Data Warehousing ArchitecturesHadoop Integration into Data Warehousing Architectures
Hadoop Integration into Data Warehousing Architectures
 
Planing and optimizing data lake architecture
Planing and optimizing data lake architecturePlaning and optimizing data lake architecture
Planing and optimizing data lake architecture
 
Machine Learning for z/OS
Machine Learning for z/OSMachine Learning for z/OS
Machine Learning for z/OS
 
Oracle PL/SQL 12c and 18c New Features + RADstack + Community Sites
Oracle PL/SQL 12c and 18c New Features + RADstack + Community SitesOracle PL/SQL 12c and 18c New Features + RADstack + Community Sites
Oracle PL/SQL 12c and 18c New Features + RADstack + Community Sites
 
Big Data: InterConnect 2016 Session on Getting Started with Big Data Analytics
Big Data:  InterConnect 2016 Session on Getting Started with Big Data AnalyticsBig Data:  InterConnect 2016 Session on Getting Started with Big Data Analytics
Big Data: InterConnect 2016 Session on Getting Started with Big Data Analytics
 
Building a Big Data platform with the Hadoop ecosystem
Building a Big Data platform with the Hadoop ecosystemBuilding a Big Data platform with the Hadoop ecosystem
Building a Big Data platform with the Hadoop ecosystem
 
Introduction to Designing and Building Big Data Applications
Introduction to Designing and Building Big Data ApplicationsIntroduction to Designing and Building Big Data Applications
Introduction to Designing and Building Big Data Applications
 

Similar to IBM InfoSphere BigInsights for Hadoop: 10 Reasons to Love It

Hadoop a Natural Choice for Data Intensive Log Processing
Hadoop a Natural Choice for Data Intensive Log ProcessingHadoop a Natural Choice for Data Intensive Log Processing
Hadoop a Natural Choice for Data Intensive Log ProcessingHitendra Kumar
 
Overview of big data & hadoop version 1 - Tony Nguyen
Overview of big data & hadoop   version 1 - Tony NguyenOverview of big data & hadoop   version 1 - Tony Nguyen
Overview of big data & hadoop version 1 - Tony NguyenThanh Nguyen
 
Overview of Big data, Hadoop and Microsoft BI - version1
Overview of Big data, Hadoop and Microsoft BI - version1Overview of Big data, Hadoop and Microsoft BI - version1
Overview of Big data, Hadoop and Microsoft BI - version1Thanh Nguyen
 
Overview of big data & hadoop v1
Overview of big data & hadoop   v1Overview of big data & hadoop   v1
Overview of big data & hadoop v1Thanh Nguyen
 
How pig and hadoop fit in data processing architecture
How pig and hadoop fit in data processing architectureHow pig and hadoop fit in data processing architecture
How pig and hadoop fit in data processing architectureKovid Academy
 
Hadoop J.G.Rohini II M.Sc.,computer science Bon secours college for women
Hadoop J.G.Rohini II M.Sc.,computer science Bon secours college for womenHadoop J.G.Rohini II M.Sc.,computer science Bon secours college for women
Hadoop J.G.Rohini II M.Sc.,computer science Bon secours college for womenrohinig10
 
Get started with hadoop hive hive ql languages
Get started with hadoop hive hive ql languagesGet started with hadoop hive hive ql languages
Get started with hadoop hive hive ql languagesJanBask Training
 
Hadoop J.G.Rohini 2nd M.sc., computer science bon secours college for women
Hadoop J.G.Rohini 2nd M.sc., computer science bon secours college for womenHadoop J.G.Rohini 2nd M.sc., computer science bon secours college for women
Hadoop J.G.Rohini 2nd M.sc., computer science bon secours college for womenrohinig10
 
Apache hadoop introduction and architecture
Apache hadoop  introduction and architectureApache hadoop  introduction and architecture
Apache hadoop introduction and architectureHarikrishnan K
 
Hadoop Platforms - Introduction, Importance, Providers
Hadoop Platforms - Introduction, Importance, ProvidersHadoop Platforms - Introduction, Importance, Providers
Hadoop Platforms - Introduction, Importance, ProvidersMrigendra Sharma
 
Hadoop training kit from lcc infotech
Hadoop   training kit from lcc infotechHadoop   training kit from lcc infotech
Hadoop training kit from lcc infotechlccinfotech
 
Introduction to Apache hadoop
Introduction to Apache hadoopIntroduction to Apache hadoop
Introduction to Apache hadoopOmar Jaber
 
The Big Picture on Big Data and Cognos
The Big Picture on Big Data and CognosThe Big Picture on Big Data and Cognos
The Big Picture on Big Data and CognosSenturus
 

Similar to IBM InfoSphere BigInsights for Hadoop: 10 Reasons to Love It (20)

Hadoop a Natural Choice for Data Intensive Log Processing
Hadoop a Natural Choice for Data Intensive Log ProcessingHadoop a Natural Choice for Data Intensive Log Processing
Hadoop a Natural Choice for Data Intensive Log Processing
 
Overview of big data & hadoop version 1 - Tony Nguyen
Overview of big data & hadoop   version 1 - Tony NguyenOverview of big data & hadoop   version 1 - Tony Nguyen
Overview of big data & hadoop version 1 - Tony Nguyen
 
Overview of Big data, Hadoop and Microsoft BI - version1
Overview of Big data, Hadoop and Microsoft BI - version1Overview of Big data, Hadoop and Microsoft BI - version1
Overview of Big data, Hadoop and Microsoft BI - version1
 
Overview of big data & hadoop v1
Overview of big data & hadoop   v1Overview of big data & hadoop   v1
Overview of big data & hadoop v1
 
Hadoop in a Nutshell
Hadoop in a NutshellHadoop in a Nutshell
Hadoop in a Nutshell
 
Hadoop in action
Hadoop in actionHadoop in action
Hadoop in action
 
How pig and hadoop fit in data processing architecture
How pig and hadoop fit in data processing architectureHow pig and hadoop fit in data processing architecture
How pig and hadoop fit in data processing architecture
 
Hadoop J.G.Rohini II M.Sc.,computer science Bon secours college for women
Hadoop J.G.Rohini II M.Sc.,computer science Bon secours college for womenHadoop J.G.Rohini II M.Sc.,computer science Bon secours college for women
Hadoop J.G.Rohini II M.Sc.,computer science Bon secours college for women
 
Get started with hadoop hive hive ql languages
Get started with hadoop hive hive ql languagesGet started with hadoop hive hive ql languages
Get started with hadoop hive hive ql languages
 
Hadoop J.G.Rohini 2nd M.sc., computer science bon secours college for women
Hadoop J.G.Rohini 2nd M.sc., computer science bon secours college for womenHadoop J.G.Rohini 2nd M.sc., computer science bon secours college for women
Hadoop J.G.Rohini 2nd M.sc., computer science bon secours college for women
 
Apache hadoop introduction and architecture
Apache hadoop  introduction and architectureApache hadoop  introduction and architecture
Apache hadoop introduction and architecture
 
Hadoop Platforms - Introduction, Importance, Providers
Hadoop Platforms - Introduction, Importance, ProvidersHadoop Platforms - Introduction, Importance, Providers
Hadoop Platforms - Introduction, Importance, Providers
 
BIGDATA ppts
BIGDATA pptsBIGDATA ppts
BIGDATA ppts
 
Hadoop training kit from lcc infotech
Hadoop   training kit from lcc infotechHadoop   training kit from lcc infotech
Hadoop training kit from lcc infotech
 
Introduction to Apache hadoop
Introduction to Apache hadoopIntroduction to Apache hadoop
Introduction to Apache hadoop
 
Unit-3_BDA.ppt
Unit-3_BDA.pptUnit-3_BDA.ppt
Unit-3_BDA.ppt
 
CSB_community
CSB_communityCSB_community
CSB_community
 
The Big Picture on Big Data and Cognos
The Big Picture on Big Data and CognosThe Big Picture on Big Data and Cognos
The Big Picture on Big Data and Cognos
 
Big data Analytics Hadoop
Big data Analytics HadoopBig data Analytics Hadoop
Big data Analytics Hadoop
 
Research Poster
Research PosterResearch Poster
Research Poster
 

More from IBM Analytics

Data Lake: A simple introduction
Data Lake: A simple introductionData Lake: A simple introduction
Data Lake: A simple introductionIBM Analytics
 
10 WealthTech podcasts every wealth advisor should listen to
10 WealthTech podcasts every wealth advisor should listen to10 WealthTech podcasts every wealth advisor should listen to
10 WealthTech podcasts every wealth advisor should listen toIBM Analytics
 
Advantages of an integrated governance, risk and compliance environment
Advantages of an integrated governance, risk and compliance environmentAdvantages of an integrated governance, risk and compliance environment
Advantages of an integrated governance, risk and compliance environmentIBM Analytics
 
Cognitive banking with expert insights
Cognitive banking with expert insightsCognitive banking with expert insights
Cognitive banking with expert insightsIBM Analytics
 
Sales performance management and C-level goals
Sales performance management and C-level goalsSales performance management and C-level goals
Sales performance management and C-level goalsIBM Analytics
 
The science of client insight: Increase revenue through improved engagement
The science of client insight: Increase revenue through improved engagementThe science of client insight: Increase revenue through improved engagement
The science of client insight: Increase revenue through improved engagementIBM Analytics
 
Expert opinion on managing data breaches
Expert opinion on managing data breachesExpert opinion on managing data breaches
Expert opinion on managing data breachesIBM Analytics
 
Top industry use cases for streaming analytics
Top industry use cases for streaming analyticsTop industry use cases for streaming analytics
Top industry use cases for streaming analyticsIBM Analytics
 
Make data simple in the cognitive era
Make data simple in the cognitive eraMake data simple in the cognitive era
Make data simple in the cognitive eraIBM Analytics
 
IBM CDO Fall Summit 2016 Keynote: Driving innovation in the cognitive era
IBM CDO Fall Summit 2016 Keynote: Driving innovation in the cognitive eraIBM CDO Fall Summit 2016 Keynote: Driving innovation in the cognitive era
IBM CDO Fall Summit 2016 Keynote: Driving innovation in the cognitive eraIBM Analytics
 
4 common headaches with sales compensation management
4 common headaches with sales compensation management4 common headaches with sales compensation management
4 common headaches with sales compensation managementIBM Analytics
 
IBM Virtual Finance Forum 2016: Top 10 reasons to attend
IBM Virtual Finance Forum 2016: Top 10 reasons to attendIBM Virtual Finance Forum 2016: Top 10 reasons to attend
IBM Virtual Finance Forum 2016: Top 10 reasons to attendIBM Analytics
 
Data science tips for data engineers
Data science tips for data engineersData science tips for data engineers
Data science tips for data engineersIBM Analytics
 
How secure is your enterprise from threats?
How secure is your enterprise from threats? How secure is your enterprise from threats?
How secure is your enterprise from threats? IBM Analytics
 
10 benefits to thinking inside Box
10 benefits to thinking inside Box10 benefits to thinking inside Box
10 benefits to thinking inside BoxIBM Analytics
 
The digital transformation of the French Open
The digital transformation of the French OpenThe digital transformation of the French Open
The digital transformation of the French OpenIBM Analytics
 
Bridging to a hybrid cloud data services architecture
Bridging to a hybrid cloud data services architectureBridging to a hybrid cloud data services architecture
Bridging to a hybrid cloud data services architectureIBM Analytics
 
What does data tell you about the customer journey?
What does data tell you about the customer journey?What does data tell you about the customer journey?
What does data tell you about the customer journey?IBM Analytics
 
What CEOs want from CDOs and how to deliver on it
What CEOs want from CDOs and how to deliver on itWhat CEOs want from CDOs and how to deliver on it
What CEOs want from CDOs and how to deliver on itIBM Analytics
 
Banking in the age of the empowered consumer
Banking in the age of the empowered consumerBanking in the age of the empowered consumer
Banking in the age of the empowered consumerIBM Analytics
 

More from IBM Analytics (20)

Data Lake: A simple introduction
Data Lake: A simple introductionData Lake: A simple introduction
Data Lake: A simple introduction
 
10 WealthTech podcasts every wealth advisor should listen to
10 WealthTech podcasts every wealth advisor should listen to10 WealthTech podcasts every wealth advisor should listen to
10 WealthTech podcasts every wealth advisor should listen to
 
Advantages of an integrated governance, risk and compliance environment
Advantages of an integrated governance, risk and compliance environmentAdvantages of an integrated governance, risk and compliance environment
Advantages of an integrated governance, risk and compliance environment
 
Cognitive banking with expert insights
Cognitive banking with expert insightsCognitive banking with expert insights
Cognitive banking with expert insights
 
Sales performance management and C-level goals
Sales performance management and C-level goalsSales performance management and C-level goals
Sales performance management and C-level goals
 
The science of client insight: Increase revenue through improved engagement
The science of client insight: Increase revenue through improved engagementThe science of client insight: Increase revenue through improved engagement
The science of client insight: Increase revenue through improved engagement
 
Expert opinion on managing data breaches
Expert opinion on managing data breachesExpert opinion on managing data breaches
Expert opinion on managing data breaches
 
Top industry use cases for streaming analytics
Top industry use cases for streaming analyticsTop industry use cases for streaming analytics
Top industry use cases for streaming analytics
 
Make data simple in the cognitive era
Make data simple in the cognitive eraMake data simple in the cognitive era
Make data simple in the cognitive era
 
IBM CDO Fall Summit 2016 Keynote: Driving innovation in the cognitive era
IBM CDO Fall Summit 2016 Keynote: Driving innovation in the cognitive eraIBM CDO Fall Summit 2016 Keynote: Driving innovation in the cognitive era
IBM CDO Fall Summit 2016 Keynote: Driving innovation in the cognitive era
 
4 common headaches with sales compensation management
4 common headaches with sales compensation management4 common headaches with sales compensation management
4 common headaches with sales compensation management
 
IBM Virtual Finance Forum 2016: Top 10 reasons to attend
IBM Virtual Finance Forum 2016: Top 10 reasons to attendIBM Virtual Finance Forum 2016: Top 10 reasons to attend
IBM Virtual Finance Forum 2016: Top 10 reasons to attend
 
Data science tips for data engineers
Data science tips for data engineersData science tips for data engineers
Data science tips for data engineers
 
How secure is your enterprise from threats?
How secure is your enterprise from threats? How secure is your enterprise from threats?
How secure is your enterprise from threats?
 
10 benefits to thinking inside Box
10 benefits to thinking inside Box10 benefits to thinking inside Box
10 benefits to thinking inside Box
 
The digital transformation of the French Open
The digital transformation of the French OpenThe digital transformation of the French Open
The digital transformation of the French Open
 
Bridging to a hybrid cloud data services architecture
Bridging to a hybrid cloud data services architectureBridging to a hybrid cloud data services architecture
Bridging to a hybrid cloud data services architecture
 
What does data tell you about the customer journey?
What does data tell you about the customer journey?What does data tell you about the customer journey?
What does data tell you about the customer journey?
 
What CEOs want from CDOs and how to deliver on it
What CEOs want from CDOs and how to deliver on itWhat CEOs want from CDOs and how to deliver on it
What CEOs want from CDOs and how to deliver on it
 
Banking in the age of the empowered consumer
Banking in the age of the empowered consumerBanking in the age of the empowered consumer
Banking in the age of the empowered consumer
 

Recently uploaded

Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Mark Simos
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Commit University
 
Powerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time ClashPowerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time Clashcharlottematthew16
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticscarlostorres15106
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brandgvaughan
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfAddepto
 
Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsMiki Katsuragi
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubKalema Edgar
 
CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):comworks
 
My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024The Digital Insurer
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Scott Keck-Warren
 
Pigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food ManufacturingPigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food ManufacturingPigging Solutions
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsMark Billinghurst
 
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Wonjun Hwang
 
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...shyamraj55
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebUiPathCommunity
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...Fwdays
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024Lorenzo Miniero
 

Recently uploaded (20)

Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!
 
Powerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time ClashPowerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time Clash
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brand
 
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptxE-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
 
Hot Sexy call girls in Panjabi Bagh 🔝 9953056974 🔝 Delhi escort Service
Hot Sexy call girls in Panjabi Bagh 🔝 9953056974 🔝 Delhi escort ServiceHot Sexy call girls in Panjabi Bagh 🔝 9953056974 🔝 Delhi escort Service
Hot Sexy call girls in Panjabi Bagh 🔝 9953056974 🔝 Delhi escort Service
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdf
 
Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering Tips
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding Club
 
CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):
 
My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024
 
Pigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food ManufacturingPigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food Manufacturing
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR Systems
 
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
 
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio Web
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024
 

IBM InfoSphere BigInsights for Hadoop: 10 Reasons to Love It

  • 1.
  • 2. Avoid proprietary lock-in. BigInsights is based on standard Hadoop 2.2.0 and includes the rich tools that Hadoop users expect. Where IBM does provide value-added features, they are carefully implemented so that customers have a choice whether to use IBM enhancements or standard Hadoop functionality.
  • 3. While some Hadoop vendors are building their own SQL-on- Hadoop implementations from scratch, Big SQL is ANSI compliant, lightning fast and runs on native Hadoop file formats. Brought to you by the inventors of SQL, Big SQL provides federated access so customers can query IBM and third party data sources with the same feature rich SQL.
  • 4. Shockingly, there are those who prefer not to code in Java or write Pig scripts to get data from Hadoop. BigSheets provides an easy-to-use spreadsheet interface allowing business users to extract, manipulate and visualize data from a variety of Hadoop and non-Hadoop data sources.
  • 5. Building applications able to extract meaning from text is hard. Rather than build your own solution, stand on the shoulders of the inventors of Watson, the reigning Jeopardy champ. Build your own advanced analytic applications, parse jargon-laden text in multiple languages, and do what your competitors cannot.
  • 6. While all the hoopla is around Spark just now, there is still a lot of MapReduce out there. Leverage IBM’s leadership in super-computing with a low-latency, 100% Hadoop compatible MapReduce implementation from Platform Computing proven in audited benchmarks to boost performance on average by a factor of four.
  • 7. The whole point of Hadoop is to move the compute to the data, but IBM takes this to the next level with native analytic functions accessible from R, SQL and other languages. Provide seamless access to advanced in Hadoop statistical and machine learning functions avoiding the cost and complexity of software development and additional tooling.
  • 8. Hadoop professionals know what may surprise their management. Most HDFS implementations are not POSIX compliant. This means data is frequently copied between file systems. Allow Hadoop and non-Hadoop applications to share the same files with GPFS FPO. Reduce storage costs, accelerate workflows, and realize other benefits as well.
  • 9. It seems that everyone has a solution for R on Hadoop. What’s unique about Big R is that it implements standard R-language functions for parallel processing, supports routines available from the Comprehensive R Archive Network (CRAN), it uses standard R developer tools, and supports advanced machine analytic functions in R.
  • 10. We’re fans of Apache Solr and Lucene too and both are fully supported in BigInsights. For customers that need to search data in other enterprise data-sources as well, IBM Watson Explorer may be the better mouse trap you’ve been looking for. Build rich interfaces, and search and visualize not just Hadoop resident data, but all your data.
  • 11. Whether you are a Telco parsing CDRs, a service provider analyzing log files, or a business incorporating social data into your applications, IBM has you covered. Leverage BigInsights’ easy to implement accelerators and rich developer tools to get productive fast building high-quality applications.
  • 12. Non-production, no-limit version of IBM InfoSphere BigInsights http://IBM.co/QuickStart Try it for free!