Top Tweets for #schemaevolution
For column renames + deletes + complex evolution: opt into schema-on-read with https://t.co/psHuYs25bV.enable=true. Spark 3.2.1+, can't be disabled once on.
Proven at scale at Uber, Walmart, LinkedIn.
Links ↓
#ApacheHudi #SchemaEvolution
📖 New chapter: Evolution of Schema Change and database change management.
> #SchemaEvolution: Managing database changes while preserving integrity
> #NoSQL: Flexible schemas; speed over consistency
> #DataContracts: Producer-consumer agreements with automated validation
https://t.co/EC4zTCOnRi
🔄 The Problem of Schema Evolution
As systems grow, data formats must adapt.
Schema evolution ensures new data fields can be added (or old ones changed) without breaking existing systems.
Key for forward and backward compatibility!
#SchemaEvolution #SystemDesign
📝 #Blogged: I wrote this article to raise awareness of the importance of #SchemaEvolution for #realtime data pipelines built on top of #ChangeDataCapture. It discusses how to change data models without breaking compatibility with downstream consumers.
https://t.co/KOJa227JIv
#SchemaEvolution empowers you to adapt your table's structure seamlessly as your data evolves. This is particularly useful when adding new columns during data appending operations.
✅Stay flexible
✅Stay efficient
Credit to: Mohsen Madiouni / DataBeans
#deltalake #lakehouse
With Schema Evolution, you're no longer restricted by rigid table structures! #SchemaEvolution empowers you to adapt your table's structure seamlessly as your data evolves. It's particularly useful when adding new columns during data appending operations.
Credit: Mohsen Madiouni
Are you confused about the difference between the "mergeSchema" option and the "autoMerge" configuration in Delta Lake schema evolution?
Let's break it down! 🧵👇🏻
1/8
#DeltaLake #SchemaEvolution #Spark
Watch it now on-demand Diving into #DeltaLake - Enforcing and Evolving the Schema https://t.co/jL4gmpnxJK #SchemaEnforcement #SchemaEvolution
Crafting schema migration through small execution steps with custom readers. #SchemaEvolution with @ValentinKasas @functional_jvm
Darwin 1.0.10 is out with JVM 7 support! Check it out! #oss #avro #schemaregistry #schemaevolution https://t.co/vc6BwBNfty
Enhanced #SchemaEvolution to keep your offloaded tables in-sync with the source https://t.co/zjuR68njqG
Over time, change is the only constant. With Gluent's Schema Sync tool, your offloaded database tables can automatically roll with the changes. Read about it here:
https://t.co/9nBfKsuMqA
Check out the latest Gluent Data Platform release, version 2.8.0, and our enhanced Schema Sync software. #SchemaEvolution
https://t.co/9nBfKsuMqA
The #akka docs are always a good read, too: https://t.co/ISYfzxe6Vj #SchemaEvolution #Protobuf #Avro https://t.co/SbA5xuggR7
#NYC @springcentral meetup announced: @vccarvalho on #DataMicroservices #SchemaEvolution with @SpringCloudOSS https://t.co/cSQ3H97hUM
Most Popular Users
Elon Musk 
@elonmusk
241.5M followers
Barack Obama
@barackobama
118.8M followers
Cristiano Ronaldo
@cristiano
114.5M followers
Donald J. Trump
@realdonaldtrump
111.8M followers
Narendra Modi
@narendramodi
107.1M followers
Rihanna
@rihanna
98.7M followers
NASA
@nasa
92.3M followers
Justin Bieber
@justinbieber
91.8M followers
KATY PERRY
@katyperry
90M followers
Taylor Swift
@taylorswift13
84M followers
Lady Gaga
@ladygaga
75.5M followers
Virat Kohli
@imvkohli
73.5M followers
Kim Kardashian
@kimkardashian
70.9M followers
YouTube
@youtube
68.8M followers
Neymar Jr
@neymarjr
66.5M followers
Bill Gates
@billgates
65.3M followers
Selena Gomez
@selenagomez
63.1M followers
The Ellen Show
@theellenshow
62.2M followers
CNN
@cnn
61.7M followers
X
@x
60.7M followers