7 inspiring Big Data factories in AWS
- 1. C o n s u l t i n g | M i g r a t i o n s | B i g D a t a | M a n a g e d S e r v i c e s | C l o u d i f i c a t i o n Enabling Big Data & Analytics factories on Amazon Web Services 7 Inspirational use cases beyond the myths
- 2. Businesses want simpler, scalable and cost effective platforms to make the most of their data assets Cloud is the way to go 7 Inspirational case studies demonstrate succesful implementations of Big Data & Analytics projects driven by BlazeClan C o n s u l t i n g | M i g r a t i o n s | B i g D a t a | M a n a g e d S e r v i c e s | C l o u d i f i c a t i o n
- 3. #1 Cloud Data Warehouse Business Context: This NASDAQ- Listed Multi Billion Dollar Engineering & Technology Company wanted a cost effective Data Warehouse solution to process huge volumes of data coming in from heterogeneous sources. Challenge: • Design an optimized Data Model • Develop and implement the ETL Process • Deploy a cost effective Data Warehouse in the cloud • Deploy Highly Available BI Server on AWS Solution: BlazeClan helped in using Amazon Redshift, a fully Managed Data Warehouse (DWH) Solution on Cloud with High Availability and Scalability. BlazeClan’s AWS Certified Solution Experts helped in designing end to end Data Warehouse Solution. C o n s u l t i n g | M i g r a t i o n s | B i g D a t a | M a n a g e d S e r v i c e s | C l o u d i f i c a t i o n
- 4. #2 Matchmaking Engine on AWS Business context: The company was getting a delay in the process for Matching partners, hence penalizing the business. Wanted to process data in real time and bring down the processing time to one-third the original time. Technology: EMR - Spark, DynamoDB, CloudSearch, Kinesis, Redis Solution: BlazeClan helped in modifying their traditional architecture and introduced new components like Hadoop, Spark and CloudSearch with High Availability and Scalability. Matchmaking time reduced from some hours to few seconds. Blazeclan Expertise: BlazeClan is an AWS Premier Cloud Consulting Company with Big Data Competency status C o n s u l t i n g | M i g r a t i o n s | B i g D a t a | M a n a g e d S e r v i c e s | C l o u d i f i c a t i o n
- 5. #3 Gaming analytics in the cloud Domain: Smartphone Freemium Game Analytics Business context: Success of Freemium games depends on progressive game play and lifetime value to achieve fiscal success. Liveops is the backbone of such business model that operates completely on data analytics. Technology: EC2, ELB, S3, DynamoDB, EMR, RedShift, Tableau Server Solution: BlazeClan delivered a technology platform that empowered the gaming company to achieve analytic platform capable of executing In- Game Virtual Product Recommendation System, server-synch game variable control, Market Basket Analysis, Revenue Prediction, and more. BlazeClan expertise: Proficient Data Scientists with more than 4 years of Domain Knowledge delivering value to the business C o n s u l t i n g | M i g r a t i o n s | B i g D a t a | M a n a g e d S e r v i c e s | C l o u d i f i c a t i o n
- 6. #4 Automated AWSmonitoringsolution Business context: AWS Users required to have an automated platform to Analyze and manage cloud resources. Technology: S3, RedShift, Spark, EMR Solution: BlazeClan came up with a product as Cloudlytics that provides a platform to effectively monitor and manage AWS resources. For Monitoring, Cloudlytics provides a detailed analytics of billing and resource utilization. This platform also offers a Recommendation Engine that can analyze the cloud resource usage pattern and suggest ways to save costs. Blazeclan Expertise: BlazeClan is an AWS Premier Cloud Consulting Company having pool of accredited resources dedicated to deliver actionable insights C o n s u l t i n g | M i g r a t i o n s | B i g D a t a | M a n a g e d S e r v i c e s | C l o u d i f i c a t i o n
- 7. #5 Recommendation Engine in the cloud Domain: Enterprise digital marketing strategy. Business context: Relevance of recommendations plays a major role to Elongate engagement lifecycle for the betterment of monetization of users by improving Content, Product and Service cross-promotion Technology: Python, EMR, Spark, S3, Hive, Pig Solution: BlazeClan delivered a customizable Recommendation Engine with Tunable sophistication increasing marketing campaigns efifciency BlazeClan expertise: Certified Data Scientists with experience of creating and implementing ML Algorithms for Collaborative Filtering with/without Magnitude/Scale Consideration C o n s u l t i n g | M i g r a t i o n s | B i g D a t a | M a n a g e d S e r v i c e s | C l o u d i f i c a t i o n
- 8. #6 Behavioralanalysis inHealthcare Business Context: A Pharmaceutical company wanted to execute a behavioral analysis against multidimensional user data. It would be a mutually beneficial proposition if precautions and medications can be recommended based on weather, pollen conditions and other parameters Technology: Python, Spark, AWS Mobile Analytics, RedShift, JasperSoft Solution: BlazeClan delivered a solution from Telemetry design, RE Algorithm Implementation to Data Visualization. Recommendations are provided to patients based on specific health conditions allowing proactive treatment and marketing campaigns planning Blazeclan Expertise: Proficient pool of Engineers having experience of SDK and Event instrumentation. Team of business oriented analysts. C o n s u l t i n g | M i g r a t i o n s | B i g D a t a | M a n a g e d S e r v i c e s | C l o u d i f i c a t i o n
- 9. #7 Redshift &Performance Testing Business Context: The company is a leading mobile marketing platform augmenting each mobile internet user’s profile; creating user persona’s and identifying intent signals. They deliver relevant offerings enabling marketers, app developers, telecom and data providers drive sharper Strategies whilst ensuring profitability. Challenge: This company was facing performance issues in analyzing their data. • Identify the Data from the current environment to be loaded • Load large production data set to Redshift • Optimize the query performance • Test Redshift Performance and compare with HP Vertica Performance Solution: The performance of Redshift was checked using reporting tools Such as Jaspersoft/Tableau. Optimizing the performance of any three Reports including RIMS and CAD and dynamic report. Ad-hoc reporting And historical reporting. Historical Data Population was made real. C o n s u l t i n g | M i g r a t i o n s | B i g D a t a | M a n a g e d S e r v i c e s | C l o u d i f i c a t i o n
- 10. Let us enable your digital business in the Cloud • AWS customer obsession award two years in a row • AWS Premier Consulting Partner • AWS Big Data • AWS Managed Services • AWS management (Cloudlytics) C o n s u l t i n g | M i g r a t i o n s | B i g D a t a | M a n a g e d S e r v i c e s | C l o u d i f i c a t i o n