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๐Ÿš€ Stop Copy-Pasting Code: Supercharge Your Database with AI! ๐Ÿ‘‰ youtube.com/watch?v=_pxpz4Geโ€ฆ Watch the full session now, subscribe for more database insights, and drop a comment with how you're using AI in your workflow! #MicrosoftAccess #SQLServer #GenerativeAI #DatabaseMigration
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๐Ÿš€ Stop Copy-Pasting Code: Supercharge Your Database with AI! ๐Ÿ‘‰ youtube.com/watch?v=_pxpz4Geโ€ฆ Watch the full session now, subscribe for more database insights, and drop a comment with how you're using AI in your workflow! #MicrosoftAccess #SQLServer #GenerativeAI #DatabaseMigration
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A global bank operating 350 Sybase/SAP servers improved performance, reduced costs, and ensured 24x7 support with mLogica's managed services and STAR*M migration roadmap. mlogica.com/resources/mlogicโ€ฆ #MainframeModernization #DatabaseMigration #Sybase #SAP #ManagedServices #BankingTechnology #FinancialServices #LegacyModernization #DatabaseManagement #DigitalTransformation #CloudMigration #EnterpriseIT
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CardX migrated 3.4M credit accounts off IBM DB2 to TiDB โ€” zero downtime, zero data loss. 20โ€“30% YoY growth. 15โ€“20% cost reduction. Always-on availability. Full case study: ow.ly/lGIA50ZaoiQ #TiDB #FinTech #DistributedSQL #DatabaseMigration
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2 days until Plaid's Zander Hill walks through the Aurora to TiDB migration live. 234 databases. 6 engineers. 3 zero-downtime upgrades. Register now: ow.ly/ZqpM50YXLLR #TiDB #AuroraMigration #DatabaseMigration
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Most teams would staff up for 234 database migrations. Plaid did it with 6 engineers by scoping smart, automating early, and frontloading risk. Zander Hill breaks it down May 21. Register: ow.ly/rJP750YNvJM #TiDB #AuroraMigration #DatabaseMigration
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Our May 21 speaker: Zander Hill, Platform Architecture Lead at Plaid. He led the migration of 234 databases off Aurora with a 6-person team. Sharing the full playbook live. Register: ow.ly/q7H350YNvAm #TiDB #AuroraMigration #DatabaseMigration
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234 databases. 6 engineers. Zero downtime across 3 TiDB upgrades. Plaid's Zander Hill is sharing the full migration playbook live on May 21. Register: ow.ly/5EuF50YNvhp #TiDB #DatabaseMigration #AuroraMigration
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๐Ÿš€ ๐—›๐—ฒ๐˜…๐—ฎ๐—ฅ๐—ผ๐—ฐ๐—ธ๐—ฒ๐˜ ๐—ป๐—ผ๐˜„ ๐—ฝ๐—ผ๐˜„๐—ฒ๐—ฟ๐˜€ ๐—ฌ๐˜‚๐—ด๐—ฎ๐—ฏ๐˜†๐˜๐—ฒ๐——๐—• ๐—บ๐—ถ๐—ด๐—ฟ๐—ฎ๐˜๐—ถ๐—ผ๐—ป๐˜€ - ๐˜„๐—ถ๐˜๐—ต ๐—ณ๐˜‚๐—น๐—น ๐—ฉ๐—ผ๐˜†๐—ฎ๐—ด๐—ฒ๐—ฟ ๐—ถ๐—ป๐˜๐—ฒ๐—น๐—น๐—ถ๐—ด๐—ฒ๐—ป๐—ฐ๐—ฒ ๐—ฏ๐˜‚๐—ถ๐—น๐˜ ๐—ถ๐—ป. Migrating to #YugabyteDB? You shouldn't have to choose between automation and control. #HexaRocket now integrates @Yugabyte Voyager's assessment engine directly - so teams migrating from #Oracle, #SQLServer, #MySQL, #MariaDB, or #PostgreSQL get the same deep YugabyteDB-specific recommendations right inside their migration workflow. That means - ๐ŸŽฏ ๐—ฆ๐—บ๐—ฎ๐—ฟ๐˜ ๐—”๐˜€๐˜€๐—ฒ๐˜€๐˜€๐—บ๐—ฒ๐—ป๐˜ - sharding key recommendations, table co-location groupings, schema optimization suggestions, and sizing guidance - all surfaced in the HexaRocket UI before you migrate the schema. ๐ŸŽ›๏ธ ๐—ฌ๐—ผ๐˜‚๐—ฟ ๐—ฐ๐—ผ๐—ป๐˜๐—ฟ๐—ผ๐—น - selectively enable or disable any recommendation during schema conversion. Apply what fits your workload. Skip what doesn't. No black-box decisions. โš™๏ธ ๐—˜๐—ป๐—ฑ-๐˜๐—ผ-๐—ฒ๐—ป๐—ฑ ๐—ฎ๐˜‚๐˜๐—ผ๐—บ๐—ฎ๐˜๐—ถ๐—ผ๐—ป - schema conversion, data movement, CDC-based replication, cutover, and validation - all in one platform, optimized for YugabyteDB from day one. With this integration, teams get a ๐˜€๐—ถ๐—ป๐—ด๐—น๐—ฒ ๐—บ๐—ถ๐—ด๐—ฟ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—ฎ๐˜‚๐˜๐—ผ๐—บ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—ฝ๐—น๐—ฎ๐˜๐—ณ๐—ผ๐—ฟ๐—บ supporting Yugabyte as a Target, for every major source database supported by HexaRocket. ๐ŸŸ  Oracle ๐Ÿ”ต SQL Server ๐Ÿ”ต Sybase ๐Ÿฌ MySQL / MariaDB ๐Ÿ˜ PostgreSQL Your database doesn't just land on YugabyteDB. It's built for it. Explore hexarocket.com today! ๐Ÿš€ #Announcement #DistributedPostgreSQL #HexaCluster #DatabaseMigration
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๐Ÿš€ ๐—œ๐—ป๐˜๐—ฟ๐—ผ๐—ฑ๐˜‚๐—ฐ๐—ถ๐—ป๐—ด ๐——๐— ๐—”๐—ง - ๐—›๐—ฒ๐˜…๐—ฎ๐—–๐—น๐˜‚๐˜€๐˜๐—ฒ๐—ฟโ€™๐˜€ ๐——๐—ฎ๐˜๐—ฎ๐—ฏ๐—ฎ๐˜€๐—ฒ ๐—”๐—ฝ๐—ฝ๐—น๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—”๐˜€๐˜€๐—ฒ๐˜€๐˜€๐—บ๐—ฒ๐—ป๐˜ ๐—ง๐—ผ๐—ผ๐—น A successful migration starts with an accurate assessment - of both your database and your applications. To make this process faster, clearer, and data-driven, we built #DMAT. Most teams do not run a structured, automated assessment. They attempt partial assessments and fill the rest with experience, guesswork, or โ€œweโ€™ll figure it out later.โ€ That's why migrations frequently hit: ย โ€ข Unplanned rewrites ย โ€ข Data type incompatibilities ย โ€ข Application failures ย โ€ข Unexpected project cost/time extensions With DMAT, teams can quickly: ย โ€ข Detect schema, data type, and feature incompatibilities ย โ€ข Identify application-level dependencies and required code changes ย โ€ข Estimate overall modernization complexity ย โ€ข Start migrations with clarity instead of guesswork Try it out and explore your assessment results in minutes: ๐Ÿ‘‰ products.hexacluster.ai/prodโ€ฆ A special thanks to all our partners who helped us with their invaluable suggestions throughout the journey! @GoogleCloudTech @Cognizant @HuaweiCloud1 #Cintra @Percona #ProTech @Yugabyte @mariadb @berexiadigital @Odoo #DBArt @Techvisions_sa @TimescaleDB #OpenSourceDB #HexaCluster #OracleToPostgreSQL #AssessmentTool #DatabaseMigration #AppModernization #PostgreSQL #ModernizationTools
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โณ ๐—๐˜‚๐˜€๐˜ ๐—ฎ ๐—ณ๐—ฒ๐˜„ ๐—ต๐—ผ๐˜‚๐—ฟ๐˜€ ๐˜๐—ผ ๐—ด๐—ผ! Weโ€™re going live at ๐Ÿญ๐Ÿฎ:๐Ÿฏ๐Ÿฌ ๐—ฃ๐—  ๐—˜๐—ง with @Yugabyte to break down the real-world path from traditional databases to #distributedPostgreSQL. If youโ€™re exploring modernization beyond legacy systems like Sybase/SAP ASE - or simply want to understand what a cloud-native, horizontally scalable future looks like, this session is for you. Hereโ€™s what weโ€™ll cover: ๐Ÿ”น Why distributed PostgreSQL is becoming the default choice for modern applications ๐Ÿ”น Key challenges in legacy-to-modern transitions ๐Ÿ”น Architectural patterns for multi-region, resilient deployments ๐Ÿ”น How #HexaRocket simplifies end-to-end migration ๐Ÿ”น Live demo open Q/A with experts from #Yugabyte & #HexaCluster Still time to register ๐Ÿ‘‰ info.yugabyte.com/webinar-syโ€ฆ See you there! ๐Ÿš€ #Webinar #PostgreSQL #SAPASE #SybaseASE #DatabaseMigration #QnA
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Migrate SQL Server to Azure SQL Managed Instance with confidence ๐Ÿš€ Seamless liftโ€‘andโ€‘shift โšก Multiple migration options (Azure Arc, DMS, MI link, LRS, native backup/restore) ๐Ÿ›ก๏ธ Builtโ€‘in high availability, security, and reduced admin overhead ๐Ÿ”„ Nearโ€‘zero downtime supported for critical workloads Start here ๐Ÿ‘‰ msft.it/6016Qi8j4 #AzureSQL #DatabaseMigration #Cloud #SQLManagedInstance
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Migrate Microsoft Access to Azure SQL Database with confidence ๐Ÿš€ Seamless modernization path โšก Assess compatibility with SQL Server Migration Assistant (SSMA) ๐Ÿ› ๏ธ Convert schema and migrate data with guided tooling ๐Ÿ” Validate, test, and optimize post-migration Learn how to assess your Access database, convert schemas, migrate data in bulk, and complete post-migration validation to ensure performance and accuracy in Azure SQL Database. Start here ๐Ÿ‘‰ msft.it/6012Qi8py #Azure #AzureSQL #DatabaseMigration #CloudModernization #DataPlatform
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PlanetScale enables zero-downtime database migrations at petabyte scale. Their multi-step sync process keeps systems running while terabytes of data move seamlessly in the background. #DatabaseMigration #ZeroDowntime
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Still waiting months for your #databasemigration to finish? Introducing #ArcDBMigrate by SourceFuse. Weโ€™ve distilled decades of migration expertise into an enterprise solution that turns a months-long process into just a few days. Learn more here: sourcefuse.com/arcdbmigrate/
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Two tools enter. One tool wins. ๐ŸฅŠ Liquibase vs Flyway is going head-to-head at #Devnexus. Join @asm0di0 from @bellsoftware & @antonarhipov from @jetbrains to explore every detail โ€” then cast your vote for the migration tool you trust in production. devnexus.com/events/the-ultiโ€ฆ ๐ŸŽŸ๏ธ Get tickets at devnexus.com โœ‰๏ธ Sign up to keep up to date with all the conference info atlj.ug/Xconnect #Java #SpringFramework #DatabaseMigration #Liquibase #Flyway #JavaDevelopers
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AWS Transform SQL GenAI in action ๐Ÿš€ We tested AWSโ€™s GenAI-powered Transform SQL for MSSQL โ†’ Aurora PostgreSQL migrations at Kloia. It delivers strong results where traditional tools struggle: โœ… Complex stored procedures โœ… MERGE statements โœ… Vendor-specific SQL Less manual refactoring. Faster modernization. Read our real-world experience ๐Ÿ‘‡ ๐Ÿ”— kloia.com/blog/our-experiencโ€ฆ #AWS #GenAI #DatabaseMigration #PostgreSQL
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Netflix Engineering: DB Migration to Aurora results in 75% speedup Blog: aws.amazon.com/blogs/databasโ€ฆ Paper: pages.cs.wisc.edu/~yxy/cs764โ€ฆ System Design Course: interviewready.io/ #Netflix #Aurora #DatabaseMigration
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