Frank Bien, CEO of Looker - along with Amazon, Google and other data disrupters - discuss how innovators are deeply integrating analytics into every aspect of their businesses, from mobile to warehouse to cloud.
Frank shares Looker’s vision for the future of business intelligence and data analytics and reveal pivotal product and partnership updates.
Power to the People: A Stack to Empower Every User to Make Data-Driven DecisionsLooker
Infectious Media runs on data. But, as an ad-tech company that records hundreds of thousands of web events per second, they have have to deal with data at a scale not seen by most companies. You can not make decisions with data when people need to write manual SQL only for queries take 10-20 minutes to return. Infectious Media made the switch to Google BigQuery and Looker and now every member of every team can get the data they need in seconds.
Infectious Media shares:
- Why they chose their current stack
- Why faster data means happier customers
- Advantages and practical implications of storing and processing that much data
Check out the recording at https://info.looker.com/h/i/308848878-power-to-the-people-a-stack-to-empower-every-user-to-make-data-driven-decisions
Frank Bien, CEO of Looker - along with Amazon, Google and other data disrupters - discuss how innovators are deeply integrating analytics into every aspect of their businesses, from mobile to warehouse to cloud.
Frank shares Looker’s vision for the future of business intelligence and data analytics and reveal pivotal product and partnership updates.
How the economist with cloud BI and Looker have improved data-driven decision...Looker
This session by The Economist Group, Cloud BI Ltd and Looker explores the challenges of data-driven decision making and how powerful the approach can be. Hear how the solution was implemented quickly and evolved in the cloud and the benefits of being able to see and understand customer preferences through a 360-degree view.
Stop refreshing vanity metrics & start focusing on the metrics that inform de...Looker
Stop Refreshing Vanity Metrics & Start Focusing on the Metrics that Inform Decisions
There is a propensity to focus on vanity metrics; metrics that show you the score: How many new views, new daily active users, how much revenue last week. You may slice these by different attributes - geography, platform, user demographics. While this can help you understand the high level trends in your business, it does little to tell you how to get better.
This slide deck looks at how vanity metrics can distract you from focusing on the analysis that matters, which is identifying and measuring the metrics that drive decisions. There are several real examples of how companies (Venmo, Simply Business, and Looker) have used event data in highly customized ways to make better decisions about their products.
Data Stack Considerations: Build vs. Buy at ToutLooker
In this webinar we see why and how Tout – a fast-growing video platform – made the jump to Looker and Treasure Data, and solved their data stack issues.
Slides cover:
-The pitfalls of in-house solutions
-The importance of companywide access to all data
-The best way to optimize your data pipeline
-The facts behind buying vs. building analytics infrastructure
From Architecture to Analytics: A look at Simply Business’s data strategy Looker
Revamping Your Data Approach to Enable the Pace & Flexibility Needed to Make Timely Business Decisions
This slide deck is from Stewart Duncan of Simply Business and Zach Taylor of Looker. They discussed how Simply Business revamped their data approach to enable the pace and flexibility they needed to make timely decisions based on their data.
Simply Business offers a B2B web product that simplifies the experience of selecting and purchasing business insurance. With over 300,000 policyholders, Simply Business is the largest SME insurer in the UK. Removing friction for users as they complete the insurance quote process is critical to providing a hassle-free user experience and driving continuous improvements in conversion rates. Learn how data analytics helps them strive for these improvements.
Get ideas on the following:
- Using data for rapid A/B testing and to analyze user journeys to inform product development.
Transitioning from a traditional data architecture to a modern cloud-based stack integrating MongoDB, AWS Redshift, Hadoop and Looker.
- Designing a data platform and organizational process that drives data-driven behavior across an organization.
- Empowering product and marketing teams to get into granular online engagement and attribution data which has removed the bottleneck to making informed decisions.
Power to the People: A Stack to Empower Every User to Make Data-Driven DecisionsLooker
Infectious Media runs on data. But, as an ad-tech company that records hundreds of thousands of web events per second, they have have to deal with data at a scale not seen by most companies. You can not make decisions with data when people need to write manual SQL only for queries take 10-20 minutes to return. Infectious Media made the switch to Google BigQuery and Looker and now every member of every team can get the data they need in seconds.
Infectious Media shares:
- Why they chose their current stack
- Why faster data means happier customers
- Advantages and practical implications of storing and processing that much data
Check out the recording at https://info.looker.com/h/i/308848878-power-to-the-people-a-stack-to-empower-every-user-to-make-data-driven-decisions
Frank Bien, CEO of Looker - along with Amazon, Google and other data disrupters - discuss how innovators are deeply integrating analytics into every aspect of their businesses, from mobile to warehouse to cloud.
Frank shares Looker’s vision for the future of business intelligence and data analytics and reveal pivotal product and partnership updates.
How the economist with cloud BI and Looker have improved data-driven decision...Looker
This session by The Economist Group, Cloud BI Ltd and Looker explores the challenges of data-driven decision making and how powerful the approach can be. Hear how the solution was implemented quickly and evolved in the cloud and the benefits of being able to see and understand customer preferences through a 360-degree view.
Stop refreshing vanity metrics & start focusing on the metrics that inform de...Looker
Stop Refreshing Vanity Metrics & Start Focusing on the Metrics that Inform Decisions
There is a propensity to focus on vanity metrics; metrics that show you the score: How many new views, new daily active users, how much revenue last week. You may slice these by different attributes - geography, platform, user demographics. While this can help you understand the high level trends in your business, it does little to tell you how to get better.
This slide deck looks at how vanity metrics can distract you from focusing on the analysis that matters, which is identifying and measuring the metrics that drive decisions. There are several real examples of how companies (Venmo, Simply Business, and Looker) have used event data in highly customized ways to make better decisions about their products.
Data Stack Considerations: Build vs. Buy at ToutLooker
In this webinar we see why and how Tout – a fast-growing video platform – made the jump to Looker and Treasure Data, and solved their data stack issues.
Slides cover:
-The pitfalls of in-house solutions
-The importance of companywide access to all data
-The best way to optimize your data pipeline
-The facts behind buying vs. building analytics infrastructure
From Architecture to Analytics: A look at Simply Business’s data strategy Looker
Revamping Your Data Approach to Enable the Pace & Flexibility Needed to Make Timely Business Decisions
This slide deck is from Stewart Duncan of Simply Business and Zach Taylor of Looker. They discussed how Simply Business revamped their data approach to enable the pace and flexibility they needed to make timely decisions based on their data.
Simply Business offers a B2B web product that simplifies the experience of selecting and purchasing business insurance. With over 300,000 policyholders, Simply Business is the largest SME insurer in the UK. Removing friction for users as they complete the insurance quote process is critical to providing a hassle-free user experience and driving continuous improvements in conversion rates. Learn how data analytics helps them strive for these improvements.
Get ideas on the following:
- Using data for rapid A/B testing and to analyze user journeys to inform product development.
Transitioning from a traditional data architecture to a modern cloud-based stack integrating MongoDB, AWS Redshift, Hadoop and Looker.
- Designing a data platform and organizational process that drives data-driven behavior across an organization.
- Empowering product and marketing teams to get into granular online engagement and attribution data which has removed the bottleneck to making informed decisions.
See the recording at http://looker.com/learn#ufh-i-225858450-driving-data-democracy-hadoop-amazon-redshift
The Hadoop ecosystem has improved markedly over the past few years. Moreover, MPP databases seem to slot in nicely as complementary tools to map-reduce batch jobs, in that they allow analytics teams to easily query massive structured data sets.
Rex Gibson, Manager of Data Engineering at Knewton and Scott Hoover, Data Scientist at Looker walk through how these pipelines work. They discuss:
- their technology and data stacks
- possible drawbacks to Hadoop + Redshift
- the merits and drawbacks associated with making data processing and querying more “democratic.”
Producing direct value for businesses via quantitative models.
New analytical tools such as Looker allow data analysts to speed up the dirty work around building data models—making it less painful to clean data, explore predictive factors, and evaluate results.
In this educational webinar from Data Science Central (DSC), Justin Palmer of LendingHome, a mortgage banking and marketing platform, joins Colin Zima, Chief Analytics Officer at Looker. Using a public-domain FAA dataset and the LendingHome platform as examples, they dig into the data modeling process and offer ideas for improvements.
- See more at: http://try.looker.com/resources/improving-data-modeling-workflow#sthash.2rGxwhJ7.dpuf
Hear Tomasz Tunguz and Frank Bien discuss their new book, Winning with Data, and offer their unique perspective to help you:
- Understand the positive impact a data culture can have on your company
- Utilize data to optimize every aspect of your business
- Learn how other companies are getting more from their data
AWS Partner Webcast - Analyze Big Data for Consumer Applications with Looker ...Amazon Web Services
Analyze Big Data for Consumer Applications with Looker BI and Amazon Redshift Customizing the customer experience based on user behavior is a constant challenge for today’s consumer apps. Business intelligence helps analyze and model large amounts of data. Looker offers a modern approach to BI leveraging AWS that’s fast, agile, and easy to manage. Join this webinar to learn how MessageMe, which provides emotionally engaging messaging apps to consumers, leverages Looker business intelligence software and the Amazon Redshift data warehouse service to analyze billions of rows of customer data in seconds.
Webinar topics include:
• How MessageMe turns billions of rows of customer data stored in Amazon Redshift into actionable insights
• How Looker connects directly to Amazon Redshift in just a few clicks, enabling MessageMe to build a modern, big data analytics in the cloud. Who should attend
• Information or Solution Architects, Data Analysts, BI Directors, DBAs, Development Leads, Developers, or Technical IT Leaders.
Presenters:
• Justin Rosenthal, CTO, MessageMe
• Keenan Rice, VP, Marketing & Alliances, Looker
• Tina Adams, Senior Product Manager, AWS
Webinar with SnagAJob, HP Vertica and Looker - Data at the speed of busines s...Looker
Enterprise companies are struggling to manage increasing demands for data with legacy BI tools. By centralizing their data in Vertica, SnagAJob, an online marketplace for hourly jobs with over 60 million users, can now use Looker to create a single source of truth and put data in the hands of decision-makers across the company.
Creating a Single Source of Truth: Leverage all of your data with powerful an...Looker
With a centralized data store, the entire spectrum of analytics is at your fingertips. Using Looker & Segment, you can collect, store and analyze everything from click-stream and event data to transactional and behavioral data in your data warehouse.
Some of the topics this webinar will include:
-The advantages of a centralized data warehouse with Segment Warehouses
-Creating a data model to get your company on the same page with Looker Blocks
-Putting it all together: Best practices for making your data accessible to your end users
Beyond Data Discovery: The Value Unlocked by Modern Data ModelingLooker
In this webinar we will discuss Looker’s novel approach to data modeling and how it powers a data exploration environment with unprecedented depth and agility.
Some topics we will cover:
-A new architecture beyond direct connect
-Language-based, git-integrated data modeling
-Abstractions that make SQL more powerful and more efficient
When and Where to Embed Business IntelligenceLooker
Watch the recorded webinar at http://bit.ly/1MeX7QK
Everywhere you look, companies are using external-facing analytics to maximize the value derived from their data assets, by moving customers up the value chain, increasing stickiness, and offering a more competitive product on the marketplace.
Listen to learn about how to bring an external-facing data product to market by embedding BI software, and what that can add to your offering.
Presentation covers:
-Top uses cases for embedding business intelligence software
Case studies from different companies currently embedding BI
-Build vs buy considerations
-Evaluating ROI
Join Rich Taylor, Looker’s Senior Director of Operations & Marketing (and a long time SFDC user), as he chats with Kevin Marr, Senior Looker Data Analyst. They’ll discuss the ways we, as well as our customers, use Looker to get the most out of data captured by SFDC.
Better ways to leverage your SFDC Data with Looker:
Snapshots of pipeline: Develop a clear understanding of the business, trends over time, and pipeline vs. target analysis.
Conversion Rates: view them at each step of the sales funnel, and compare them across teams, individuals, and timeframes.
Identifying trends: Project the probability of pipeline closing over time.
Rep Specific Dashboards: Compare a single rep to team and the entire sales org on multiple factors, including customer health for improved and proactive customer retention.
In this webinar, Looker CEO, Frank Bien hosts a panel of BI experts including Cigna, Blue Apron and BuzzFeed, to discuss what he calls the “3rd Wave of BI”, and how you can ride it to win.
During the 1st wave of BI everyone had to wait for data and the insights they needed. The introduction of data visualization in the 2nd wave made it easy for anyone to grab data from anywhere and do it themselves. Today’s 3rd Wave of BI creates a common data language for your business, making it easy for anyone to find, explore and do more with data.
Don’t miss this rare opportunity to hear Frank Bien chat with a panel of BI experts to help you:
- Understand the current shift in BI tech
- Utilize 3rd wave trends in every aspect of your business
- Learn from others successfully riding the 3rd wave
Many companies have invested time and money into building sophisticated data pipelines that can move massive amounts of data, often in real time. However, for the analyst or data scientist who builds offline models, integrating their analyses into these pipelines for operational purposes can pose a challenge.
In this slide deck, we will discuss some key technologies and workflows companies can leverage to build end-to-end solutions for automating statistical and machine learning solutions: from collection and storage to analysis and real-time predictions.
The current data landscape, key trends, and the future of business intelligence and data analytics. Time to modernize your data analytics? Start your free Looker trial today.
Tableau Conference 2018: Binging on Data - Enabling Analytics at NetflixBlake Irvine
In this conference session we share how we are using Tableau “out of the box” and also describe how it fits into our overall data environment. In addition, we’ll describe how we expect to use the Data Catalog and Object Model, our explorations of large-scale data stores, and challenges we are working on including governance and data lineage. Video of session can be viewed here: https://youtu.be/Nr24tw3dmZQ
Advanced Analytics Implementations at EA scaleAni Lopez
Designing and managing advanced analytics implementations for 35+ digital properties, across more than 10 different production teams, is not an easy task. It became even more challenging when the analytics team at Electronic Arts (EA) was required to migrate from Adobe Site Catalyst to Google Analytics Premium to Google Universal Analytics, all within the span of 18 months. Of course, all of this had to be done while still keeping pace with the company’s frenzied schedule for publishing blockbuster games, each of which requires new sites and countless marketing campaigns. See how we used Tealium iQ™ tag management system to achieve our objectives.
The Three Pillars of Customer Success AnalyticsLooker
Learn how customer health analysis can not only help you maintain your current customer base, but also drive increased revenue from that existing base. In this webinar, we examined how we use customized health scores internally to achieve consistently negative churn rates, and cover a few examples from our customers who do the same.
Customer Success Analysis aides growth by helping you:
Retain revenue
Acquire new Revenue
Cut operational costs
Identifying Users Across Platforms with a Universal ID Webinar SlidesLooker
Before you can dive into any kind of advanced customer behavior analysis, you have to make sure you're counting each user once and only once. This is a surprisingly difficult problem, especially with customer touchpoints across devices. To accurately measure your users, you have to tie identities across anonymous and logged-in sessions, account for when people change their email addresses, and plan for cross-platform interactions. In this webinar, Erin Franz, data analyst from Looker, and Will Johnson, Success Lead at Segment, share signals that you are miscalculating your users and methods for creating a universal user ID.
You can view the webinar at http://www.looker.com/video/identifying-users-with-universal-id
See the recording at http://looker.com/learn#ufh-i-225858450-driving-data-democracy-hadoop-amazon-redshift
The Hadoop ecosystem has improved markedly over the past few years. Moreover, MPP databases seem to slot in nicely as complementary tools to map-reduce batch jobs, in that they allow analytics teams to easily query massive structured data sets.
Rex Gibson, Manager of Data Engineering at Knewton and Scott Hoover, Data Scientist at Looker walk through how these pipelines work. They discuss:
- their technology and data stacks
- possible drawbacks to Hadoop + Redshift
- the merits and drawbacks associated with making data processing and querying more “democratic.”
Producing direct value for businesses via quantitative models.
New analytical tools such as Looker allow data analysts to speed up the dirty work around building data models—making it less painful to clean data, explore predictive factors, and evaluate results.
In this educational webinar from Data Science Central (DSC), Justin Palmer of LendingHome, a mortgage banking and marketing platform, joins Colin Zima, Chief Analytics Officer at Looker. Using a public-domain FAA dataset and the LendingHome platform as examples, they dig into the data modeling process and offer ideas for improvements.
- See more at: http://try.looker.com/resources/improving-data-modeling-workflow#sthash.2rGxwhJ7.dpuf
Hear Tomasz Tunguz and Frank Bien discuss their new book, Winning with Data, and offer their unique perspective to help you:
- Understand the positive impact a data culture can have on your company
- Utilize data to optimize every aspect of your business
- Learn how other companies are getting more from their data
AWS Partner Webcast - Analyze Big Data for Consumer Applications with Looker ...Amazon Web Services
Analyze Big Data for Consumer Applications with Looker BI and Amazon Redshift Customizing the customer experience based on user behavior is a constant challenge for today’s consumer apps. Business intelligence helps analyze and model large amounts of data. Looker offers a modern approach to BI leveraging AWS that’s fast, agile, and easy to manage. Join this webinar to learn how MessageMe, which provides emotionally engaging messaging apps to consumers, leverages Looker business intelligence software and the Amazon Redshift data warehouse service to analyze billions of rows of customer data in seconds.
Webinar topics include:
• How MessageMe turns billions of rows of customer data stored in Amazon Redshift into actionable insights
• How Looker connects directly to Amazon Redshift in just a few clicks, enabling MessageMe to build a modern, big data analytics in the cloud. Who should attend
• Information or Solution Architects, Data Analysts, BI Directors, DBAs, Development Leads, Developers, or Technical IT Leaders.
Presenters:
• Justin Rosenthal, CTO, MessageMe
• Keenan Rice, VP, Marketing & Alliances, Looker
• Tina Adams, Senior Product Manager, AWS
Webinar with SnagAJob, HP Vertica and Looker - Data at the speed of busines s...Looker
Enterprise companies are struggling to manage increasing demands for data with legacy BI tools. By centralizing their data in Vertica, SnagAJob, an online marketplace for hourly jobs with over 60 million users, can now use Looker to create a single source of truth and put data in the hands of decision-makers across the company.
Creating a Single Source of Truth: Leverage all of your data with powerful an...Looker
With a centralized data store, the entire spectrum of analytics is at your fingertips. Using Looker & Segment, you can collect, store and analyze everything from click-stream and event data to transactional and behavioral data in your data warehouse.
Some of the topics this webinar will include:
-The advantages of a centralized data warehouse with Segment Warehouses
-Creating a data model to get your company on the same page with Looker Blocks
-Putting it all together: Best practices for making your data accessible to your end users
Beyond Data Discovery: The Value Unlocked by Modern Data ModelingLooker
In this webinar we will discuss Looker’s novel approach to data modeling and how it powers a data exploration environment with unprecedented depth and agility.
Some topics we will cover:
-A new architecture beyond direct connect
-Language-based, git-integrated data modeling
-Abstractions that make SQL more powerful and more efficient
When and Where to Embed Business IntelligenceLooker
Watch the recorded webinar at http://bit.ly/1MeX7QK
Everywhere you look, companies are using external-facing analytics to maximize the value derived from their data assets, by moving customers up the value chain, increasing stickiness, and offering a more competitive product on the marketplace.
Listen to learn about how to bring an external-facing data product to market by embedding BI software, and what that can add to your offering.
Presentation covers:
-Top uses cases for embedding business intelligence software
Case studies from different companies currently embedding BI
-Build vs buy considerations
-Evaluating ROI
Join Rich Taylor, Looker’s Senior Director of Operations & Marketing (and a long time SFDC user), as he chats with Kevin Marr, Senior Looker Data Analyst. They’ll discuss the ways we, as well as our customers, use Looker to get the most out of data captured by SFDC.
Better ways to leverage your SFDC Data with Looker:
Snapshots of pipeline: Develop a clear understanding of the business, trends over time, and pipeline vs. target analysis.
Conversion Rates: view them at each step of the sales funnel, and compare them across teams, individuals, and timeframes.
Identifying trends: Project the probability of pipeline closing over time.
Rep Specific Dashboards: Compare a single rep to team and the entire sales org on multiple factors, including customer health for improved and proactive customer retention.
In this webinar, Looker CEO, Frank Bien hosts a panel of BI experts including Cigna, Blue Apron and BuzzFeed, to discuss what he calls the “3rd Wave of BI”, and how you can ride it to win.
During the 1st wave of BI everyone had to wait for data and the insights they needed. The introduction of data visualization in the 2nd wave made it easy for anyone to grab data from anywhere and do it themselves. Today’s 3rd Wave of BI creates a common data language for your business, making it easy for anyone to find, explore and do more with data.
Don’t miss this rare opportunity to hear Frank Bien chat with a panel of BI experts to help you:
- Understand the current shift in BI tech
- Utilize 3rd wave trends in every aspect of your business
- Learn from others successfully riding the 3rd wave
Many companies have invested time and money into building sophisticated data pipelines that can move massive amounts of data, often in real time. However, for the analyst or data scientist who builds offline models, integrating their analyses into these pipelines for operational purposes can pose a challenge.
In this slide deck, we will discuss some key technologies and workflows companies can leverage to build end-to-end solutions for automating statistical and machine learning solutions: from collection and storage to analysis and real-time predictions.
The current data landscape, key trends, and the future of business intelligence and data analytics. Time to modernize your data analytics? Start your free Looker trial today.
Tableau Conference 2018: Binging on Data - Enabling Analytics at NetflixBlake Irvine
In this conference session we share how we are using Tableau “out of the box” and also describe how it fits into our overall data environment. In addition, we’ll describe how we expect to use the Data Catalog and Object Model, our explorations of large-scale data stores, and challenges we are working on including governance and data lineage. Video of session can be viewed here: https://youtu.be/Nr24tw3dmZQ
Advanced Analytics Implementations at EA scaleAni Lopez
Designing and managing advanced analytics implementations for 35+ digital properties, across more than 10 different production teams, is not an easy task. It became even more challenging when the analytics team at Electronic Arts (EA) was required to migrate from Adobe Site Catalyst to Google Analytics Premium to Google Universal Analytics, all within the span of 18 months. Of course, all of this had to be done while still keeping pace with the company’s frenzied schedule for publishing blockbuster games, each of which requires new sites and countless marketing campaigns. See how we used Tealium iQ™ tag management system to achieve our objectives.
The Three Pillars of Customer Success AnalyticsLooker
Learn how customer health analysis can not only help you maintain your current customer base, but also drive increased revenue from that existing base. In this webinar, we examined how we use customized health scores internally to achieve consistently negative churn rates, and cover a few examples from our customers who do the same.
Customer Success Analysis aides growth by helping you:
Retain revenue
Acquire new Revenue
Cut operational costs
Identifying Users Across Platforms with a Universal ID Webinar SlidesLooker
Before you can dive into any kind of advanced customer behavior analysis, you have to make sure you're counting each user once and only once. This is a surprisingly difficult problem, especially with customer touchpoints across devices. To accurately measure your users, you have to tie identities across anonymous and logged-in sessions, account for when people change their email addresses, and plan for cross-platform interactions. In this webinar, Erin Franz, data analyst from Looker, and Will Johnson, Success Lead at Segment, share signals that you are miscalculating your users and methods for creating a universal user ID.
You can view the webinar at http://www.looker.com/video/identifying-users-with-universal-id
SPT 104 Unlock your big data with analytics and BI on Office 365Brian Culver
SharePoint Fest Denver 2016
SPT 104 - Unlock your Big Data with Analytics and BI on Office 365
Brian Culver, MCM - Invited Speaker
Companies have huge amounts of data waiting to be explored. With Azure HDInsights you can realize the value of your data. With Microsoft Excel 2013 and Office 365, you have a complete platform for BI solutions and services. Power BI allows companies to manipulate and study a variety of data points, gain actionable insights and share their insights. PowerPivot, Power View, Power Query, Power Map and Power BI Sites let users analyze and make decisions using structured and unstructured data.
Attendee Takeaways:
1. Learn to setup and configure HDInsights on Microsoft Azure.
2. Understand how to use Excel for BI capabilities.
3. Build a BI Dashboard in Office365.
Over 90% of today’s data has been generated in the last two years, and growth rates continue to climb. In this session, we’ll step through challenges and best practices with data capturing, how to derive meaningful insights to help predict the future, and common pitfalls in data analysis.
Come discover how integrated solutions involving Amazon S3, AWS Glue, Amazon Redshift, Amazon Athena, Amazon EMR, Amazon Kinesis, and Amazon Machine Learning/Deep Learning result in effective data systems for data scientists and business users, alike.
SPS Utah 2016 - Unlock your big data with analytics and BI on Office 365Brian Culver
SharePoint Saturday Utah has begun with a great crowd. I presented my session "Unlock your Big Data with Analytics and BI on Office 365" which is a Level 200 class. In my session I discuss how companies have huge amounts of data waiting to be explored. With Azure HDInsights (Microsoft's Hadoop cluster solution in partnership with Nortonworks) you can realize the value of your data. With Microsoft Excel 2013 and Office 365, you have a complete platform for BI solutions and services. PowerPivot, Power View, Power Query, Power Map and Power BI Sites empowers users analyze and make decisions using structured and unstructured data.
Attendee Takeaways:
1. Learn to setup and configure HDInsights on Microsoft Azure.
2. Understand how to use Excel for BI capabilities.
3. Build a BI Dashboard in Office365.
Unlock your Big Data with Analytics and BI on Office 365Brian Culver
Companies have huge amounts of data waiting to be explored. With Azure HDInsights you can realize the value of your data. With Microsoft Excel 2013 and Office 365, you have a complete platform for BI solutions and services. Power BI allows companies to manipulate and study a variety of data points, gain actionable insights and share their insights. PowerPivot, Power View, Power Query, Power Map and Power BI Sites let users analyze and make decisions using structured and unstructured data.
Attendee Takeaways:
1. Learn to setup and configure HDInsights on Microsoft Azure.
2. Understand how to use Excel for BI capabilities.
3. Build a BI Dashboard in Office365.
What’s the Impact of Open Source on the Future of Supply Chain? slide deckLora Cecere
What’s the Impact of Open Source on the Future of Supply Chain
Developments in open source software happen because of the power of community. Developers can access code and create functionality and applications that will drive improvements and opportunities along a supply chain. Many technology vendors are embracing this model to provide platforms to manage your business. But how do you proceed?
How Celtra Optimizes its Advertising Platformwith DatabricksGrega Kespret
Leading brands such as Pepsi and Macy’s use Celtra’s technology platform for brand advertising. To inform better product design and resolve issues faster, Celtra relies on Databricks to gather insights from large-scale, diverse, and complex raw event data. Learn how Celtra uses Databricks to simplify their Spark deployment, achieve faster project turnaround time, and empower people to make data-driven decisions.
In this webinar, you will learn how Databricks helps Celtra to:
- Utilize Apache Spark to power their production analytics pipeline.
- Build a “Just-in-Time” data warehouse to analyze diverse data sources such as Elastic Load Balancer access logs, raw tracking events, operational data, and reportable metrics.
- Go beyond simple counting and group events into sequences (i.e., sessionization) and perform more complex analysis such as funnel analytics.
The Right Data Warehouse: Automation Now, Business Value ThereafterInside Analysis
The Briefing Room with Dr. Robin Bloor and WhereScape
Live Webcast on April 1, 2014
Watch the archive: https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=7b23b14b532bd7be60a70f6bd5209f03
In the Big Data shuffle, everyone is looking at Hadoop as “the answer” to collect interesting data from a new set of sources. While Hadoop has given organizations the power to gather more information assets than ever before, the question still looms: which data, regardless of source, structure, volume and all the rest, are significant for affecting business value – and how do we harness it? One effective approach is to bolster the data warehouse environment with a solution capable of integrating all the data sources, including Hadoop, and automating delivery of key information into the rights hands.
Register for this episode of The Briefing Room to hear veteran Analyst Robin Bloor as he explains how a rapidly changing information landscape impacts data management. He will be briefed by Mark Budzinski of WhereScape, who will tout his company’s data warehouse automation solutions. Budzinski will discuss how automation can be the cornerstone for closing the gap between those responsible for data management and the people driving business decisions.
Visit InsideAnlaysis.com for more information.
Data Foundation for Analytics Excellence by Tanimura, cathy from OktaTin Ho
This is presentation of Cathy Tanimura
Director of Analytics & Big Data @ Okta at Predictive Analytics & Business Insights 2014 conference USA
November 19, 2014
Accelerate Self-Service Analytics with Data Virtualization and VisualizationDenodo
Watch full webinar here: https://bit.ly/39AhUB7
Enterprise organizations are shifting to self-service analytics as business users need real-time access to holistic and consistent views of data regardless of its location, source or type for arriving at critical decisions.
Data Virtualization and Data Visualization work together through a universal semantic layer. Learn how they enable self-service data discovery and improve performance of your reports and dashboards.
In this session, you will learn:
- Challenges faced by business users
- How data virtualization enables self-service analytics
- Use case and lessons from customer success
- Overview of the highlight features in Tableau
Analyzing Billions of Data Rows with Alteryx, Amazon Redshift, and TableauDATAVERSITY
Got lots of data? So does Amaysim, a leading Australian telecom provider, with its billions of rows of data. The organization successfully empowers its small team of data analysts with self-service data analytics platforms so they can easily access the data they need, perform advanced analytics, and visualize findings for all stakeholders. Register for this session and learn how Amaysim uses the Alteryx-Redshift-Tableau BI stack to easily and quickly:
Extract data from their data warehouse and blend and enrich it with other sources
Give data analytical context by running statistical, predictive, and deep geo-spatial analytics
Create visualizations from analytics and then update Tableau Workbooks directly from Alteryx, or publish the results in Amazon Redshift, for easy direct access for their stakeholders from Tableau
Hear from Adrian Loong, Alteryx Analytics Certified Expert (ACE), and product marketers from AWS and Alteryx on how organizations can use Alteryx, Amazon Redshift and Tableau to enable data analysts to spin up new self-service analytics instances to enable fast investigation for critical business decisions.
Data Culture Series - Keynote & Panel - 19h May - LondonJonathan Woodward
Big data. Small data. All data. You have access to an ever-expanding volume of data inside the walls of your business and out across the web. The potential in data is endless – from predicting election results to preventing the spread of epidemics. But how can you use it to your advantage to help move your business forward?
Data is growing exponentially and it’s now possible to mine and unlock insights from data in new and unexpected ways. Empower your business to take advantage of this data by harnessing the rich capabilities of Microsoft SQL Server and the familiarity of Microsoft Office to help organize, analyze, and make sense of your data—no matter the size.
Analytical Innovation: How to Build the Next Generation Data PlatformVMware Tanzu
There was a time when the Enterprise Data Warehouse (EDW) was the only way to provide a 360-degree analytical view of the business. In recent years many organizations have deployed disparate analytics alternatives to the EDW, including: cloud data warehouses, machine learning frameworks, graph databases, geospatial tools, and other technologies. Often these new deployments have resulted in the creation of analytical silos that are too complex to integrate, seriously limiting global insights and innovation.
Join guest speaker, 451 Research’s Jim Curtis and Pivotal’s Jacque Istok for an interactive discussion about some of the overarching trends affecting the data warehousing market, as well as how to build a next generation data platform to accelerate business innovation. During this webinar you will learn:
- The significance of a multi-cloud, infrastructure-agnostic analytics
- What is working and what isn’t, when it comes to analytics integration
- The importance of seamlessly integrating all your analytics in one platform
- How to innovate faster, taking advantage of open source and agile software
Speakers: James Curtis, Senior Analyst, Data Platforms & Analytics, 451 Research & Jacque Istok, Head of Data, Pivotal
Big Data LDN 2018: FIGHTING DATA CHAOS: CONNECTING USERS TO DATA AT SCALEMatt Stubbs
Date: 13th November 2018
Location: Self-Service Analytics
Theatre Time: 12:30 - 13:00
Speaker: Joel McKelvey
Organisation: Looker
About: Companies that use data well are more efficient, effective, and profitable. Unfortunately, most organizations struggle to keep up with the changing supply of data — and the growing business demands for that data. The key is to connect data supply to data users in a way that scales, supports existing workflows, and serves as a foundation for the future.
This session will explore how to bring data to users where and when they need it without sacrificing data governance or unified metrics. This session will also present proven ways to build a data foundation for your organisation that can support future changes in both data supply and data demand.
Specifically, attendees will discover:
• The key considerations to driving the most value from data, including: self-service, governance, custom interfaces, modeling, and connections to existing business systems.
• How to provide users access to data in a way that naturally fits in their existing workflows and allows users to take immediate action.
• How companies like Deliveroo and King extract critical business insights from growing data and deliver those insights to their business users.
Slides: Case Study — How J.B. Hunt is Driving Efficiency with AI and Real-Tim...DATAVERSITY
J.B. Hunt, one of the leading providers of transportation and logistics services in North America, recognizes the criticality of customer responsiveness, service quality, and operational efficiency for its success. However, with its data spread across multiple sources, including legacy mainframe systems, the organization was struggling to meet data requirements from multiple departments. They struggled to troubleshoot operational issues and respond to customers quickly.
Join this webinar to hear about the optimized solution J. B. Hunt implemented, which automates real-time data pipelines for a reliable cloud data lake and provides multiple user groups an in-the-moment view of data without overwhelming internal operational systems. Discover how J.B. Hunt now leverages a modernized data environment to accelerate data delivery and drive various AI and analytics initiatives such as real-time service-pricing, competitive counterbidding, and improving their customer experience.
Learn how you can:
• Ingest data in real-time from legacy mainframe systems, enterprise applications, and more
• Create a reliable cloud data lake to accelerate AI and Analytic Initiatives
• Catalog, prepare, and provision data to empower data consumers
• Drive operational efficiency and customer experience with AI-augmented insights
Business in the Driver’s Seat – An Improved Model for IntegrationInside Analysis
The Briefing Room with Dr. Robin Bloor and WhereScape
Live Webcast on September 30, 2014
Watch the archive:
https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=bfff40f7c9645fc398770ea11152b148
The fueling of information systems will always require some effort, but a confluence of innovations is fundamentally changing how quickly and accurately it can be done. Gone are long cycle times for development. Today, organizations can embrace a more rapid and collaborative approach for building analytical applications and data warehouses. The key is to have business experts working hand-in-hand with data professionals as the solutions take shape, thus expediting the speed to valuable insights.
Register for this episode of The Briefing Room to hear veteran Analyst Dr. Robin Bloor as he explains the changing nature of information design. He’ll be briefed by WhereScape President Mark Budzinski, who will discuss his company’s data warehouse automation solutions and how they enable collaborative development. He will share use cases that illustrate show aligning business and IT, organizations can enable faster and more agile data warehouse development.
Visit InsideAnlaysis.com for more information.
Similar to Frank Bien Opening Keynote - Join 2016 (20)
This webinar covers Looker 4, including:
- New LookML with a refreshed syntax and full-featured Integrated Development Environment that offers contextual help as you work.
- Content Discovery, which makes it easier to curate, find, and share data across your entire company.
- New Exploration tools, like the ability to fill in missing dimension values when graphing data.
- The Strengthened Platform, with our versioned, stable API and the ability to trigger actions in other tools directly from Looker.
Delivering data and analytics to your customers should be straightforward. The Looker Data Platform allows for easy access to data through a robust API and embeddable charts, tables and dashboards.
Learn how Looker can help you:
- Embed charts, tables and dashboards into applications
- Use the Looker API to deliver data to applications, including Slack
- Build a customer portal to deliver more value to your customers
- Design the above with version control through Git, along with clustering and multi-server setup as needed
Counting — the foundation for marketing analytics. While it seems simple (How many people placed orders last week?), it's often not. What’s regularly missing is speed and flexibility, causing you to wait hours or days for the data you need, or realizing you actually need that data sorted by state and having to start all over again. Suddenly, you’ve become the data analyst's worst nightmare — the marketer who always needs more.
This webinar covered how The RealReal created a culture where everyone has access to the data they need and data is the foundation of all decisions.
They use Looker for:
- Flexible segmentation: marketers slice and dice the raw data without hitting technical dead-ends.
- Behavior segmentation: easily identifying their healthiest customers and flagging those who are at risk.
- Segment-based campaign evaluation: use behavioral segmentation to track whether campaigns are driving the behavior you expect.
Quick iteration and reusability of metric calculations for powerful data exploration.
At Looker, we want to make it easier for data analysts to service the needs of the data-hungry users in their organizations. We believe too much of their time is spent responding to ad hoc data requests and not enough time is spent building, experimenting, and embellishing a robust model of the business. Worse yet, business users are starving for data, but are forced to make important decisions without access to data that could guide them in the right direction. Looker addresses both of these problems with a YAML-based modeling language called LookML.
This paper walks through a number of data modeling examples, demonstrating how to use LookML to generate, alter, and update reports—without the need to rewrite any SQL. With LookML, you build your business logic, defining your important metrics once and then reusing them throughout a model—allowing quick, rapid iteration of data exploration, while also ensuring the accuracy of the SQL that’s generated. Small updates are quick and can be made immediately available to business users to manipulate, iterate, and transform in any way they see fit.
Custom Calculations: Your business is unique — shouldn't your metrics be?Looker
Analytics is about so much more than defining high-level KPIs and building dashboards to amplify them. With a little creativity, you can create custom metrics designed to inform every member of an organization. With this knowledge of their effect on the business, everyone can optimize their impact on company-wide goals.
What you'll learn:
-Why standard KPIs may not be getting you everything you need
-Who can benefit from these new metrics (everyone!)
-How to identify key metrics and roll them out to the entire organization
-Get examples of how other companies are creating custom analytics
Quarkus Hidden and Forbidden ExtensionsMax Andersen
Quarkus has a vast extension ecosystem and is known for its subsonic and subatomic feature set. Some of these features are not as well known, and some extensions are less talked about, but that does not make them less interesting - quite the opposite.
Come join this talk to see some tips and tricks for using Quarkus and some of the lesser known features, extensions and development techniques.
Globus Connect Server Deep Dive - GlobusWorld 2024Globus
We explore the Globus Connect Server (GCS) architecture and experiment with advanced configuration options and use cases. This content is targeted at system administrators who are familiar with GCS and currently operate—or are planning to operate—broader deployments at their institution.
SOCRadar Research Team: Latest Activities of IntelBrokerSOCRadar
The European Union Agency for Law Enforcement Cooperation (Europol) has suffered an alleged data breach after a notorious threat actor claimed to have exfiltrated data from its systems. Infamous data leaker IntelBroker posted on the even more infamous BreachForums hacking forum, saying that Europol suffered a data breach this month.
The alleged breach affected Europol agencies CCSE, EC3, Europol Platform for Experts, Law Enforcement Forum, and SIRIUS. Infiltration of these entities can disrupt ongoing investigations and compromise sensitive intelligence shared among international law enforcement agencies.
However, this is neither the first nor the last activity of IntekBroker. We have compiled for you what happened in the last few days. To track such hacker activities on dark web sources like hacker forums, private Telegram channels, and other hidden platforms where cyber threats often originate, you can check SOCRadar’s Dark Web News.
Stay Informed on Threat Actors’ Activity on the Dark Web with SOCRadar!
Software Engineering, Software Consulting, Tech Lead.
Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Security,
Spring Transaction, Spring MVC,
Log4j, REST/SOAP WEB-SERVICES.
Enhancing Project Management Efficiency_ Leveraging AI Tools like ChatGPT.pdfJay Das
With the advent of artificial intelligence or AI tools, project management processes are undergoing a transformative shift. By using tools like ChatGPT, and Bard organizations can empower their leaders and managers to plan, execute, and monitor projects more effectively.
Experience our free, in-depth three-part Tendenci Platform Corporate Membership Management workshop series! In Session 1 on May 14th, 2024, we began with an Introduction and Setup, mastering the configuration of your Corporate Membership Module settings to establish membership types, applications, and more. Then, on May 16th, 2024, in Session 2, we focused on binding individual members to a Corporate Membership and Corporate Reps, teaching you how to add individual members and assign Corporate Representatives to manage dues, renewals, and associated members. Finally, on May 28th, 2024, in Session 3, we covered questions and concerns, addressing any queries or issues you may have.
For more Tendenci AMS events, check out www.tendenci.com/events
Enterprise Resource Planning System includes various modules that reduce any business's workload. Additionally, it organizes the workflows, which drives towards enhancing productivity. Here are a detailed explanation of the ERP modules. Going through the points will help you understand how the software is changing the work dynamics.
To know more details here: https://blogs.nyggs.com/nyggs/enterprise-resource-planning-erp-system-modules/
Large Language Models and the End of ProgrammingMatt Welsh
Talk by Matt Welsh at Craft Conference 2024 on the impact that Large Language Models will have on the future of software development. In this talk, I discuss the ways in which LLMs will impact the software industry, from replacing human software developers with AI, to replacing conventional software with models that perform reasoning, computation, and problem-solving.
Listen to the keynote address and hear about the latest developments from Rachana Ananthakrishnan and Ian Foster who review the updates to the Globus Platform and Service, and the relevance of Globus to the scientific community as an automation platform to accelerate scientific discovery.
Unleash Unlimited Potential with One-Time Purchase
BoxLang is more than just a language; it's a community. By choosing a Visionary License, you're not just investing in your success, you're actively contributing to the ongoing development and support of BoxLang.
Into the Box Keynote Day 2: Unveiling amazing updates and announcements for modern CFML developers! Get ready for exciting releases and updates on Ortus tools and products. Stay tuned for cutting-edge innovations designed to boost your productivity.
How to Position Your Globus Data Portal for Success Ten Good PracticesGlobus
Science gateways allow science and engineering communities to access shared data, software, computing services, and instruments. Science gateways have gained a lot of traction in the last twenty years, as evidenced by projects such as the Science Gateways Community Institute (SGCI) and the Center of Excellence on Science Gateways (SGX3) in the US, The Australian Research Data Commons (ARDC) and its platforms in Australia, and the projects around Virtual Research Environments in Europe. A few mature frameworks have evolved with their different strengths and foci and have been taken up by a larger community such as the Globus Data Portal, Hubzero, Tapis, and Galaxy. However, even when gateways are built on successful frameworks, they continue to face the challenges of ongoing maintenance costs and how to meet the ever-expanding needs of the community they serve with enhanced features. It is not uncommon that gateways with compelling use cases are nonetheless unable to get past the prototype phase and become a full production service, or if they do, they don't survive more than a couple of years. While there is no guaranteed pathway to success, it seems likely that for any gateway there is a need for a strong community and/or solid funding streams to create and sustain its success. With over twenty years of examples to draw from, this presentation goes into detail for ten factors common to successful and enduring gateways that effectively serve as best practices for any new or developing gateway.
Understanding Globus Data Transfers with NetSageGlobus
NetSage is an open privacy-aware network measurement, analysis, and visualization service designed to help end-users visualize and reason about large data transfers. NetSage traditionally has used a combination of passive measurements, including SNMP and flow data, as well as active measurements, mainly perfSONAR, to provide longitudinal network performance data visualization. It has been deployed by dozens of networks world wide, and is supported domestically by the Engagement and Performance Operations Center (EPOC), NSF #2328479. We have recently expanded the NetSage data sources to include logs for Globus data transfers, following the same privacy-preserving approach as for Flow data. Using the logs for the Texas Advanced Computing Center (TACC) as an example, this talk will walk through several different example use cases that NetSage can answer, including: Who is using Globus to share data with my institution, and what kind of performance are they able to achieve? How many transfers has Globus supported for us? Which sites are we sharing the most data with, and how is that changing over time? How is my site using Globus to move data internally, and what kind of performance do we see for those transfers? What percentage of data transfers at my institution used Globus, and how did the overall data transfer performance compare to the Globus users?
Gamify Your Mind; The Secret Sauce to Delivering Success, Continuously Improv...Shahin Sheidaei
Games are powerful teaching tools, fostering hands-on engagement and fun. But they require careful consideration to succeed. Join me to explore factors in running and selecting games, ensuring they serve as effective teaching tools. Learn to maintain focus on learning objectives while playing, and how to measure the ROI of gaming in education. Discover strategies for pitching gaming to leadership. This session offers insights, tips, and examples for coaches, team leads, and enterprise leaders seeking to teach from simple to complex concepts.
A Comprehensive Look at Generative AI in Retail App Testing.pdfkalichargn70th171
Traditional software testing methods are being challenged in retail, where customer expectations and technological advancements continually shape the landscape. Enter generative AI—a transformative subset of artificial intelligence technologies poised to revolutionize software testing.
First Steps with Globus Compute Multi-User EndpointsGlobus
In this presentation we will share our experiences around getting started with the Globus Compute multi-user endpoint. Working with the Pharmacology group at the University of Auckland, we have previously written an application using Globus Compute that can offload computationally expensive steps in the researcher's workflows, which they wish to manage from their familiar Windows environments, onto the NeSI (New Zealand eScience Infrastructure) cluster. Some of the challenges we have encountered were that each researcher had to set up and manage their own single-user globus compute endpoint and that the workloads had varying resource requirements (CPUs, memory and wall time) between different runs. We hope that the multi-user endpoint will help to address these challenges and share an update on our progress here.
Cyaniclab : Software Development Agency Portfolio.pdfCyanic lab
CyanicLab, an offshore custom software development company based in Sweden,India, Finland, is your go-to partner for startup development and innovative web design solutions. Our expert team specializes in crafting cutting-edge software tailored to meet the unique needs of startups and established enterprises alike. From conceptualization to execution, we offer comprehensive services including web and mobile app development, UI/UX design, and ongoing software maintenance. Ready to elevate your business? Contact CyanicLab today and let us propel your vision to success with our top-notch IT solutions.
31. 3.40
• Hierarchical Drilling
• Better BigQuery,
Spark, Presto
support
3.44
• Faster dashboards
• Scheduler Admin
Panel
• Better chart axis
• Automagic heatmaps
3.48
• Explore page refactor
• Improved dashboard
PDF
• User specific
connections
3.52
• Cleaner navigation
• Redesigned
visualization series
• Updates to
scheduling & PDFs
3.36
• Enhanced SQL
Runner
• Improved
Dashboard UI
• More Table Calcs
3.38
• Custom Styling for
Embedded
Dashboards
• Beautiful tiny charts
• Named value formats
3.46
• Dashboard text tiles
• Single value
enhancements
• Table calc
enhancements
• Scheduled webhooks
3.50
• Custom Filters
• Regional data for
interactive maps
• Updates to embedded
events
3.54
• Improved Mobile UX
• Access Controls
• User Groups
• Reversable x and y axis
3.56
• Looks as Documents
• SSO embed groups
• BigQuery Standard
SQL
JAN FEB MARCH APRIL MAY JUNE JULY AUG SEPT OCT BEYOND
2016
67. Key Advantages
• Embrace the Ecosystem of Data People
• Solve for the known to quickly get to the unknown
• Find solutions for areas outside of your expertise
72. • Go Big in Big Enterprise
• Better and Faster Data Decisions for Customers
• Embrace a Dynamic and Growing Data
Ecosystem
Google Cloud Focus
73. Blocks Available Today
Google Analytics Premium
Plus more Google Data
Sources & Use Cases
DoubleClick
Campaign Analytics
Gaming Analytics
For BigQuery
Coming Soon
Looker + Google Cloud Blocks
82. 100+ Official Partners
10+ different categories
5 different programs
Over 80% of customers
are leveraging a Partner
technology today
1 in 3 customers finds a
new partner via Looker
Looker Partner Network
And that’s not all. We’re constantly improving the product.
We answer questions like:
How do I set up LDAP?
Is there a pattern in LookML for cohort analysis?
And even:
Is a burrito a dumpling?
Btw, the consensus was, no, a burrito is not a dumpling
Nicole
Margaret
Zach
Ian
Welcome
Lloyd, ben and all of us
THANKS; Humbled
First Conference
Take a step back
What’s happening in Data and Analytics
Verge
Deliver on the promise
To understand Where we can go… where we’ve been
First Wave
Complete Systems
Monolithic
100% correct
Era of Oracle
Neared the end of its life…
A story
Remember this?
Decided bow it up…
Invited TV and picnics
Uncontrolled
Pieces FLYING
Whale was still there
Kind of like how the 2nd wave
We got pieces
-Prep
-Viz
SQL and M/R
Customers paid
Whale still there
Pain!
We hear it all the time
1 of 2 problems; maybe both
Users need REAL data
Go to the data team
There’s already a line…
3 of 100
Tired of waiting
Look for scraps
Old, incorrect
Total Active Users; LTV
Leads to chaos and brawls
>> Both Impediment to data decisions
Less jefferson/hamilton; more facebook/twitter/cnn -- lots of opinions
Meanwhile… something much bigger
While they were evolving
A Revolution underneath
MPP; Hadoop; Spark; Cloud Redshift, BigQuery
EVOLUTION/REVOLUTION
So, here we are-3rd WAVE
Dawn of something great
Finally deliver on the promise
Totally new architectures
NOT like the monolithic
GREATLY SIMPLIFY the data supply chain
And unlock value
BI - Non-BI - APIs
And that’s what our mission is a Looker
From the beginning we wanted to be
Platform
On new world of data
To deliver on the promise of data culture
And many of you are leading… already doing it
Customer and Partner
Wow, Awesome… THANKS to everyone who helped
But what have you done for us lately?
What’s next for Looker?
Continue to build on the core bets…
Hypothesis correct
Three big bets when we started
Proved to be good to build on
And still true today
DB Faster
We didn’t build our own
So much more to leverage here
SQL Lingua Franca
Hard bet, but paid off
Extend it; Reusability
Data People Key
Data is hard
and data people had the key
But tools were disenfranchising data people
Summary:
We bet on DB Faster… We bet SQL Win… WE BET ON YOU
We’ve been building on these concepts
Proud to announce
Huge undertaking of last 2 years
Some of the largest enhancements since start
With components directed at: Analyst, Consumers, Platform
FOR THE ANALYTS
Refresh of LookML and much more sophisticated IDE
Work better / faster
Easier to learn
Easier to become and EXPERT
Fixed the nits…
Result is… a much better experience… empower the data analyst
FOR THE DATA CONSUMERS
Now that we’ve created these reliable metrics / single source
We have to solve the problem we solved
How to deal with all this content
Not spreadsheet/workbooks… bigger
Content Discovery… Single Biggest
Organize, find, secure, make use of those assets
TO EXTEND THE PLATFORM
Lastly, deliver on Data Everywhere!
This year, you saw Slack, PBL, Salesforce tab
Completely unleash
110% functionality
Move beyond and out of the BI tool
And now for something completely different
One of our top front-end developers
Taking an idea and running with it
Power of the platform
Platform value; what you do with it
Jen mentioned; blocks this year
Excited to announce…
Looker Blocks Directory
50 re-usable analytic templates
12 full data applications
Complete ecosystem...
-Expand what you can do with data on the Looker platform – things in technology have changed, and we want to show you how you can expand your usage & increase your effectiveness with data.
**Sessionization would have been done ahead of time in the physical data, but now you can do that logically because the database can handle it and keep more of your logic in a single code base that’s easily changeable…these are the types of revelations our initial customers are having with Blocks.
-Looker is a Data Platform, that means we can embrace the ecosystem. The Directory allows us to give our Partners & Community experts the ability to build, showcase, and distribute their best practices.
-So many patterns, data sources, and use cases are repeatable. We’re using the Directory to offer templates to quickly take advantage of these so your teams can get to the data problems that haven’t yet been solved.
-Every department is requesting data all day everyday. Your team may not know exactly how to solve everything. The Directory should serve the purpose of finding approaches and patterns that quickly guide you to a solution so no one goes unserved.
Looker Blocks Directory is a key part of that ecoystem[11:04] That lets people go from 0-60 immediately[11:04] and expands their vision of what’s possible with Looker[11:05] Normally, you wouldn’t even consider doing sessionization in you data platform tool. You’d do that before the data was loaded with a specialized process. But with today’s database technology, you can do it right in your warehouse. We want people to know that and we want to show them how
-Expand what you can do with data on the Looker platform – things in technology have changed, and we want to show you how you can expand your usage & increase your effectiveness with data.
**Sessionization would have been done ahead of time in the physical data, but now you can do that logically because the database can handle it and keep more of your logic in a single code base that’s easily changeable…these are the types of revelations our initial customers are having with Blocks.
-Looker is a Data Platform, that means we can embrace the ecosystem. The Directory allows us to give our Partners & Community experts the ability to build, showcase, and distribute their best practices.
-So many patterns, data sources, and use cases are repeatable. We’re using the Directory to offer templates to quickly take advantage of these so your teams can get to the data problems that haven’t yet been solved.
-Every department is requesting data all day everyday. Your team may not know exactly how to solve everything. The Directory should serve the purpose of finding approaches and patterns that quickly guide you to a solution so no one goes unserved.
Looker Blocks Directory is a key part of that ecoystem[11:04] That lets people go from 0-60 immediately[11:04] and expands their vision of what’s possible with Looker[11:05] Normally, you wouldn’t even consider doing sessionization in you data platform tool. You’d do that before the data was loaded with a specialized process. But with today’s database technology, you can do it right in your warehouse. We want people to know that and we want to show them how
AFTER GOING THROUGH CATEGORIES, WE’LL CLICK TO EXPAND / HIGHLIGHT THE CUSTOMER SUCCESS APP
AFTER GOING THROUGH CATEGORIES, WE’LL CLICK TO EXPAND / HIGHLIGHT THE CUSTOMER SUCCESS APP
We’re going to highlight a few of those Partners today.
With that said, I’d like to welcome John Lee, Global Lead, Big Data Go to Market from Google Cloud.
(Keenan) John, thanks for coming out to NYC!
Why don’t you quickly introduce your role @ Google Cloud & what your areas of focus are.
(John) Intro & Google Cloud focus areas (these are the areas you mentioned yesterday)
(Keenan) Awesome, thanks John. So let’s get into the work we’ve been actively working on together. Excited to share our joint efforts in building Looker Blocks for Google Cloud customers! How’d this come about?
(John) – Google has tons of the most widely used data sources in business & services customers across every industry vertical. Customers want outcomes. Story about making data more easily consumable for end users via GCP products.
(Keenan) – Great! Available today in the Blocks Directory is Gaming Analytics for BigQuery & DoubleClick Campaign Analytics. Coming soon will be Google Analytics Premium & a few more secrets in development over the coming year.
(Keenan) Let’s highlight one briefly – Google Gaming Analytics. John can you give us a little insight into the background for the development and how it’s gone so far?
(John) Outcome based analytics / Experience so far – how this helps customers
(Keenan) John, thanks for all of your support and we’re all excited to continue collaborating with the Google Cloud team in the future.
AFTER GOING THROUGH CATEGORIES, WE’LL CLICK TO EXPAND / HIGHLIGHT THE CUSTOMER SUCCESS APP
We’re going to highlight a few of those Partners today.
With that said, I’d like to welcome John Lee, Global Lead, Big Data Go to Market from Google Cloud.