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

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Sep. 04, 2022
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Data Con LA 2022 - Why Database Modernization Makes Your Data Decisions More Critical Than Ever

Sep. 04, 2022
• 0 likes • 15 views
Data & Analytics

Anil Inamdar, VP & Head of Data Solutions at Instaclustr
The most modernized enterprises utilize polyglot architecture, applying the best-suited database technologies to each of their organization's particular use cases. To successfully implement such an architecture, though, you need a thorough knowledge of the expansive NoSQL data technologies now available.

Attendees of this Data Con LA presentation will come away with:

-- A solid understanding of the decision-making process that should go into vetting NoSQL technologies and how to plan out their data modernization initiatives and migrations.

-- They will learn the types of functionality that best match the strengths of NoSQL key-value stores, graph databases, columnar databases, document-type databases, time-series databases, and more.

-- Attendees will also understand how to navigate database technology licensing concerns, and to recognize the types of vendors they'll encounter across the NoSQL ecosystem. This includes sniffing out open-core vendors that may advertise as “open source,"" but are driven by a business model that hinges on achieving proprietary lock-in.

-- Attendees will also learn to determine if vendors offer open-code solutions that apply restrictive licensing, or if they support true open source technologies like Hadoop, Cassandra, Kafka, OpenSearch, Redis, Spark, and many more that offer total portability and true freedom of use.

Anil Inamdar, VP & Head of Data Solutions at Instaclustr
The most modernized enterprises utilize polyglot architecture, applying the best-suited database technologies to each of their organization's particular use cases. To successfully implement such an architecture, though, you need a thorough knowledge of the expansive NoSQL data technologies now available.

Attendees of this Data Con LA presentation will come away with:

-- A solid understanding of the decision-making process that should go into vetting NoSQL technologies and how to plan out their data modernization initiatives and migrations.

-- They will learn the types of functionality that best match the strengths of NoSQL key-value stores, graph databases, columnar databases, document-type databases, time-series databases, and more.

-- Attendees will also understand how to navigate database technology licensing concerns, and to recognize the types of vendors they'll encounter across the NoSQL ecosystem. This includes sniffing out open-core vendors that may advertise as “open source,"" but are driven by a business model that hinges on achieving proprietary lock-in.

-- Attendees will also learn to determine if vendors offer open-code solutions that apply restrictive licensing, or if they support true open source technologies like Hadoop, Cassandra, Kafka, OpenSearch, Redis, Spark, and many more that offer total portability and true freedom of use.

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

  1. 1. ©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)
  2. 2. Agenda
  3. 3. Agenda • Data Journey Until Now • Triggers of Data Modernization • Data Modernization Approaches • Life After Data Modernization
  4. 4. Data Journey Until Now
  5. 5. 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
  6. 6. Big Data
  7. 7. Internet
  8. 8. Cloud
  9. 9. 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!
  10. 10. 10
  11. 11. 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
  12. 12. 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
  13. 13. 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
  14. 14. www.instaclustr.com info@instaclustr.com @instaclustr THANK YOU! © Instaclustr Pty Limited, 2020 Anil Inamdar VP & Head of Data Solutions anil.inamdar@instaclustr.com

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