Webinar with SnagAJob, HP Vertica and Looker - Data at the speed of busines slides
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The webinar discussed using HP Vertica and Looker to enhance data analytics capabilities, focusing on speed, scalability, and ease of use. It included a case study from Snagajob, detailing their transition from traditional data architectures to a polyglot data platform to improve efficiency and insight delivery. The session emphasized the importance of presenting a unified version of data for better decision-making across various stakeholders.
Webinar with SnagAJob, HP Vertica and Looker - Data at the speed of busines slides
- 1. Data at the Speed of Business September 2 , 2015
- 2. Welcome & Webinar Overview - This webinar will be recorded - We will take questions at the end Keenan Rice Vice President, Alliances Looker
- 3. Agenda - Brief overview of Vertica - Brief overview of Looker - SnagAJob Case Study
- 4. HP Vertica Norma Rodriguez, IT Engineer
- 5. Looker Erin Franz, Data Analyst
- 6. Speed, scalability, simplicity, and openness at lower TCO HP Vertica Analytics Platform High-performance data analytics platform purpose built for big data HP Vertica Analytics Platform to the rescue! Gain insights into your data in near-real time by running queries 50x-1,000x faster than legacy products Blazing fast analytics Infinitely and easily scale your solution by adding an unlimited number of industry-standard servers Massive scalability Get to market quickly with your analytics initiatives at low cost of administration and maintenance Easy set-up and administration Protect your investment in hardware and software, with built-in support for Hadoop, R Open architecture Store 10x-30x more data per server than row databases with patented columnar compression Optimized data storage
- 7. “We found that we’d add a lot more value back to the organization if we gave it to everyone.”TODD LEHR DOLLAR SHAVE CLUB 350 + Agile data modeling; Transform Data at Query ETL ELT A single set of data and definitions Hosted on-premise or in the cloud An analytics app server that doesn’t move your data A better way to explore complex data
- 8. Your results are as fresh as the data in Vertica because no data movement is required Explore and visualize your large datasets in Hadoop with Vertica + Looker Looker queries Vertica directly - taking advantage of the power of the underlying database In- Database All of Vertica’s useful analytic functions - like Geospatial Analytics - can be utilized by Looker Real Time Analytic Functions SQL on Hadoop Looker and Vertica Solution for Data Exploration and Visualization
- 9. Robert Fehrmann Data Architect Scott Hicks Senior Director, Data Strategy Jake Piersol Data Solutions Manager
- 10. We connect workers with hourly jobs and employers with hourly workers. And with 60 million registered job seekers, we’re pretty good at it. Since 2000, we’ve grown to be America’s #1 spot for hourly work. We got here simply because we love helping people find jobs they love. Our products and services make it effortless for workers to find jobs, and easy for employers to quickly find workers - and we’re always looking to improve. After all, work is kind of our thing.
- 11. We Needed to Solve a Problem Scott Hicks
- 13. ...just to keep pace Need a solution that is: Easy to setup Easy to maintain Easy to use (ie idiot proof) Make sense financially Works for all my stakeholders ➢ Product Managers ➢ Senior Leadership ➢ Developers ➢ Customers “Houston, we have a problem” We need to move faster ...
- 15. Initial Load Profile 0.1 million unique visitors per day 1 million page views per day 10 million registered users Initial Architecture Traditional SQL based DW / Traditional Data cubes single server instance using data partitioning scaling up (more memory, more cpu) Challenges Slow to load / retrieve / change Scalability Cost “... so what’s the problem?” Using pre-webscale Technology at webscale
- 16. Best of breed over single Vendor Scale-Out over Scale-Up Dynamic queries over pre-build Cubes Agile over Waterfall “How did we fix the problem?” Completely re-think data analytics
- 17. “What does our Solution look like?” Polyglot Data Platform Data Collection Data Storage Data Engine Data Analytics/ Visualization Flume Kafka Scoop Hadoop (Cloudera) Vertica Impala Looker Google Sheets
- 18. “How does it work?” Web WebWeb Message Bus Flume Hadoop Hue PortalImpala Sheets Web Apps Jobseekers / Clients Clients Portal Internal Users Web Apps
- 19. Putting it Into Practice Jake Piersol
- 20. Customers will pay more if we give them more ● Subscription Model → Transactional Model ● Created new data needs ● Vertica provides the analytical platform ● Looker provides the window Keeping up with the business Product Evolution
- 22. Deliver Insight Quickly "One of our biggest data challenges has always been ‘presenting one version of the truth’ … with Looker, we are able to do this in multiple ways" John Moon Director of Data Strategy
- 23. Deliver Insight Quickly "One of the best features Looker provides, is the ability to create custom looks and dashboards specific for each of my customers. That, along with the ability to automatically send those reports, allows me to pass critical information to my clients without a lot of additional touches." Ken Larsh National Account Executive, Recruitment Advertising and Staffing
- 24. Deliver Insight Quickly "Looker gives us the capability to slice and dice data like we haven't had in the past. I spend about 75% of my day using it, and it truly makes my job easier!" Hope Ferguson Solutions Analyst
- 25. Predictive Analytics Data as a Product Simplifying the Stack Room to Evolve Where do we go from here?
- 26. Q & A
- 27. Thank You - This webinar will be posted on looker.com tomorrow. - Demo Looker at looker.com/demo - Demo Vertica my.vertica.com/evaluate
- 28. Thank you