We invite you to shape the future of IBM, including product roadmaps, by submitting ideas that matter to you the most. Here's how it works:
Post your ideas
Post ideas and requests to enhance a product or service. Take a look at ideas others have posted and upvote them if they matter to you,
Post an idea
Upvote ideas that matter most to you
Get feedback from the IBM team to refine your idea
Help IBM prioritize your ideas and requests
The IBM team may need your help to refine the ideas so they may ask for more information or feedback. The product management team will then decide if they can begin working on your idea. If they can start during the next development cycle, they will put the idea on the priority list. Each team at IBM works on a different schedule, where some ideas can be implemented right away, others may be placed on a different schedule.
Receive notification on the decision
Some ideas can be implemented at IBM, while others may not fit within the development plans for the product. In either case, the team will let you know as soon as possible. In some cases, we may be able to find alternatives for ideas which cannot be implemented in a reasonable time.
Error message change required while attempting to create a service on Lite Plan
Customers are trying to create an Analytics Engine service on a Lite Plan and see the following error:
"[500, Internal Server Error] Service provisioned failed. Try again later. You will now be redirected to the console dashboard."
HDInsight make it super easy to use Hive ACID transactions - can we make it easier for users to setup hive transactions on Analytics Engine?
Hive LLAP provides large performance improvements. Can we add to the IAE documentation how to configure it?
Azure make this especially easy by provide LLAP by default with certain cluster types - https://docs.microsoft.com/en-us/azure/hdinsight/i...
Please support Apache Flink yarn deployments on IBM Analytics Engine
Flink is probably the most popular and feature-rich open source streaming engine.
It supports features that aren't supported by Spark Structured Streaming such as:
local state stores (e.g. rocksdb)
See also: https://ibmclou...
Impala provides low latency and high concurrency for BI/analytic queries on Hadoop (not delivered by batch frameworks such as Apache Hive). Impala also scales linearly, even in multitenant environments.
Ability to connect from DSX to HDFS from Biginsights directly using URL hdfs://
Ability to connect to biginsights cluster with spark apis likesc.textFile("hdfs://:8020/tmp/testdata.txt") At moment, Biginsights on cloud doesn't allow remote connection like above from Data science experience.https://datascience.ibm.com/
Do not place IBM confidential, company confidential, or personal information into any field.