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Actian Matrix shut down it\u2019s product and the client would lose support of it\u2019s production system in about 6 months. While Cloud migration was on the Client\u2019s roadmap this news helped fast track the cloud migration project."]})})]}),(0,r.jsx)(a.Kp,{children:(0,r.jsxs)("div",{"data-attr":"thechallenge",children:[(0,r.jsxs)("p",{children:[(0,r.jsx)("strong",{children:"The Challenge:"}),(0,r.jsx)("br",{}),"Analyzing all systems that the data warehouse and it\u2019s depen
1dent system\u2019s were interacting with and building a migration roadmap with projects still in flight."]}),(0,r.jsxs)("p",{children:["Selecting a replacement Database that would fit the current and future growth demands.",(0,r.jsx)("br",{}),"Getting buy in from Info-sec group to deploy company critical data to the cloud"]})]})}),(0,r.jsxs)(a.Kp,{children:[(0,r.jsxs)("div",{"data-attr":"thesolution",children:[(0,r.jsxs)("p",{children:[(0,r.jsx)("strong",{children:"The Solution:"}),(0,r.jsx)("br",{}),"Fugetron did a quick POC comparing Teradata, memSQl, Snowflake and Redshift to test current features and workloads of the current enterprise environment. Prepared and presented the findings to the client executive team and won an approval to migrate to Amazon Redshift."]}),(0,r.jsx)("p",{children:"A team of experienced data engineers setup Informatica on EC2 instances and prepared the Integration environment."}),(0,r.jsxs)("p",{children:["Facilitated the data migration strategy using Python Script at the same time implemented a data staging environment in Amazon S3.",(0,r.jsx)("br",{}),"Built a Data lake in Amazon S3 using implementation best practices employing a raw, cleaned and Prepared data setup file structure."]}),(0,r.jsx)("p",{children:"Used Attunity Replicate to write real time changes directly to the Data lake in S3"}),(0,r.jsx)("p",{children:"Built Python based script framework to process the real time data to staging tables within Redshift"}),(0,r.jsx)("p",{children:"Used Informatica to push down processing to the redshift database layer."}),(0,r.jsx)("p",{children:"Redshift enabled the Client to size their cluster to current need but still enabled them to scale based on demand."}),(0,r.jsx)("p",{children:"Migrated all data products in 3 phases ensuring no impact to business and still meeting Licensing and support agreement with old vendor."})]})," "]})]})]}),(0,r.jsxs)("div",{class:"conclusion-content common-content",children:[(0,r.jsx)("p",{children:(0,r.jsx)("strong",{children:"Key Highlights:"})}),(0,r.jsxs)("p",{children:[(0,r.jsx)("strong",{children:"Technologies used"})," \u2013 Python, Informatica, AWS S3, AWS Ec2, AWS Redshift, Teradata, snowflake, MemSQL.",(0,r.jsx)("br",{}),(0,r.jsx)("strong",{children:"Team size"})," \u20131 Architect, 4 Developers, 2 QA Engineers.",(0,r.jsx)("br",{}),(0,r.jsx)("strong",{children:"Project duration"})," \u2013 6 months",(0,r.jsx)("br",{}),(0,r.jsx)("strong",{children:"Project Governance"})," \u2013 Agile delivery governed by Joint Steering Committee, Daily Scrum, Weekly Status Reports",(0,r.jsx)("br",{}),(0,r.jsx)("strong",{children:"Delivery model"})," \u2013 Hybrid [Onsite/ Offshore]"]}),(0,r.jsx)("p",{children:(0,r.jsx)("strong",{children:"Results and Benefits:"})}),(0,r.jsxs)("ul",{children:[(0,r.jsx)("li",{children:"Minimizing and eventually eliminating DBA role and on prep file storage costs."}),(0,r.jsx)("li",{children:"A custom scalable environment for self serve analytics."}),(0,r.jsx)("li",{children:"Faster to market strategy for New projects and data products."})]})]})]})})]})})})}),(0,r.jsx)(n.A,{})]})}}]);
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