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Data Con LA 2022 - Why Database Modernization Makes Your Data Decisions More Critical Than Ever

The document outlines the evolution of data storage methods from the 1960s to the present, emphasizing the transition from traditional databases to modern data solutions amidst the challenges of big data and cloud computing. It discusses the concept of open-core business models and how they leverage open-source technology while providing additional proprietary features. The conclusion advocates for using 100% open-source technologies to avoid vendor lock-in and promote innovation within the open-source community.

Data & Analytics◦
©Instaclustr Pty Limited, 2020 August 13, 2022 DATA MODERNIZATION October 19, 2021 Anil Inamdar VP & Head of Data Solutions @Instaclustr (Now Part of SPOT by NetAapp) (Open-source that is really open-source)
Agenda
Agenda • Data Journey Until Now • Triggers of Data Modernization • Data Modernization Approaches • Life After Data Modernization
Data Journey Until Now
Data Journey – Until Now Beginnings • Humans have a long history of storing data • Data was stored even before computers • Was stores in libraries, government offices, business 1960s • Term “Database” introduced • Two models were developed 1.Network Model (CODASYL) 2.Hierarchical Model (IMS) 1970s • E.F. Codd • Relational Database Model • Table with rows and columns • UC Berkeley introduced INGRES 1980s • RDBMS is highly commercial • SQL becomes the standard • DB2, Oracle, Dbase III become popular 1990s • Market shakeout • Mergers and consolidations • Oracle, Sybase, SQLServer emerge as leaders • Oracle expands vertically – ERP, Fin 2000’ • Internet becomes mainstream • Public Cloud emerges • Huge data is generated – MP3, video, weblogs • RDBMS becomes a bottleneck
Big Data
Internet
Cloud
Data Modernization • Open-core is a business model for monetizing free OSS • The “core” of the software is open with added proprietary features • Open-source is always a “project” while open-core is a “product” • Open-core exploited some of the challenges with open-source - Absence of support - Need for features like monitoring, auto-provisioning • Successfully exploited by vendors like Cloudera, DataStax, Confluent • But that’s not the whole story!
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Company Overview Founded in 2013 CBR Australia 250+ Employees in 4 offices HQ in Redwood City, CA USA 300+ Customers Globally Global Presence 24x7 TechOps and Dev in Australia and the USA © Instaclustr Pty Limited, 2020
Conclusion • Use 100 % open-source technologies if - You want to continue using true open-source software and not move towards proprietary software - Don’t want to pay software licensing costs - Avoid vendor locking - Avoid technology locking - Want to be part of open-source community - Want to continue to innovate your solution
Special Promotion • 2-hour open-source consulting advice • 1-week free access to Instaclustr platform - Spin up 3 node clusters in 3-5 minutes! - Cassandra, Kafka, ElasticSearch, Redis • Mention “Data Con LA August 2022” to get the above promotions
www.instaclustr.com info@instaclustr.com @instaclustr THANK YOU! © Instaclustr Pty Limited, 2020 Anil Inamdar VP & Head of Data Solutions anil.inamdar@instaclustr.com