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View Code? Open in Web Editor NEWRepository hosting change log entries for use in the What's New page within Data Science Experience (DSX).
Home Page: http://datascience.ibm.com/
License: Other
Repository hosting change log entries for use in the What's New page within Data Science Experience (DSX).
Home Page: http://datascience.ibm.com/
License: Other
e.g. Bad:
"image_url" : "https://github.com/IBMDataScience/datascix/blob/master/public/prod/changelog/img/github.png?raw=true?raw=true",
The following issue contains relevant information:
https://github.ibm.com/dap/dsx-documentation-source/issues/1191#issuecomment-5144832
The blog post URL is here:
https://medium.com/ibm-watson/introducing-ibm-watson-studio-e93638f0bb47
https://medium.com/@jacob.shelley/introducing-streams-designer-81c6ee313dd1
Introducing Streams Designer!
Building real-time applications doesn't have to be hard! Streams Designer makes streaming analytics more accessible to all by providing an easy to use, drag and drop environment for building streaming applications. Process data as it moves through your business like never before with Streams Designer, available today!
Replaced with id
field that specifies GUID values.
_id
field is being used to uniquely identify entries for the social "like" feature._id
field should be renamed to just id
_id
to id
{
"id" : "53a6c1e8-81d7-481e-a4a9-e3529535cf5e",
"title" : "Real-time comments in notebooks",
"date" : "2016-09-25T18:06:05.524Z",
"message" : "Say what you need to say. Collaboration is easier than ever with the new comments section in Jupyter notebooks.",
"image_url" : "https://github.com/IBMDataScience/datascix/blob/master/public/prod/changelog/img/comments.png?raw=true",
"blog_url" : "http://datascience.ibm.com/blog/open-beta-available-for-everyone-2/"
},
Original blog post on Medium is here: https://medium.com/ibm-data-science-experience/discover-catalog-and-govern-data-with-ibm-data-catalog-5e1ef7d28df2
You will need to add the author photo to the repo. (New author)
Here's the title and text to use:
Drowning in your data lake? IBM Data Catalog to the rescue!
IBM Data Catalog is a lifeline for data scientists, data analysts ... actually make that ANYONE who works with data! Regardless of where data resources reside, you can find them with pinpoint accuracy. Use IBM Data Catalog to govern, catalog, automatically classify, refine, and analyze your data. You can even monitor policies and create a business glossary so that you entire team is synchronized. So get your tech suit on and head for open waters, today's the day you conquer your data lake!
"Read the Blog Post" button link is broken for entry 9: "Admit it. You know you have your favorites!"
See: https://apsportal.ibm.com/whats-new?context=analytics
(4) DSX Desktop beta available: https://datascience.ibm.com/blog/introducing-ibm-data-science-experience-desktop-beta/
Talking about small footprint, how is that even possible?
Miniaturization? Little nano-bots? Nah, it’s just IBM Data Science Experience for Desktop. Right out of the box … hang on, there’s not even a box! It’s right out of the easy-to-install download and you have a fully-functioning, fully-fabulous, fully-IBM version of Data Science Experience on your desktop. No internet needed. Data mavens beware! This just might be addictive!
There's a new post. We need to create a new entry in the JSON files.
Current JSON Format (Invalid)
section belowSuggested JSON Format (Valid)
section belowProblem
: Should be an Array of ObjectsProblem
: ISODate function wrapper should be omittedThis is the final What's New for THINK!
The issue can be found here:
https://github.ibm.com/dap/dsx-documentation-source/issues/1193
I don't have final approval on the language, but I would like to see us at least get started on the JSON file work, if that's possible.
Right now the author is hardcoded in the source code.
[
{
"_id" : "1",
"title" : "Creative visualizations, fast and easy with Brunel",
"author" : "Armand Ruiz Gabernet",
"date" : "2016-07-01T08:06:05.524Z",
"message" : "We all know how a picture often tells a story best, especially with data. Now that we support Brunel interactive visualizations in our Jupyter notebooks for Scala and Python, you can squeeze Brunel's flexibility and variety onto your palette and focus on setting your imagination free instead of learning a complex tool.",
"image_url" : "http://datascience.ibm.com/blog/content/images/2016/06/m6QlLRdb3k.gif",
"blog_url" : "http://datascience.ibm.com/blog/brunel-interactive-visualization-in-jupyter-notebooks-2/"
},
...
Here's the original blog post on Medium:
You will need to get the author's photo and add it to the What's New repo.
Here's the title and text of the What's New post:
Like finery for your data!
Dahling, you look mahvelous! And with IBM Data Refinery you'll have your data looking better that ever. This self-service data preparation tool lets you cleanse, shape, and prepare data without the need for IT involvement. Because you can use Data Refinery to both transform and visualize data in the same interface, you can better understand your distribution of values taking you from frump to fashionista with data that'll be the envy of everyone!
i.e.
"image_url" : "https://github.com/IBMDataScience/datascix/blob/master/public/prod/changelog/img/github.png?raw=true?raw=true",
The genetic testing results are in and you'll never guess who's related
It's all in the family with Watson Data Platform and Data Science Experience! This is what can happen when your dad is a world class AI platform and your mom is an analytics maven. So just in time for your family gathering you can bring together the power of services like IBM Data Catalog, IBM Data Refinery, and the many siblings of the Watson Data Platform into a complete data workflow. (OK, maybe IBM Natural Language Understanding is the chatty aunt, but she's definitely part of this merry family of data intelligence.) It's a family whose job is to Make Data Simple [period].
All of the information that you need for this work is contained in the following issue:
https://github.ibm.com/dap/dsx-documentation-source/issues/1192#issuecomment-5140015
Very important. This What's New needs to go LIVE on PROD only when the THINK! go live is authorized. Right now that is Tuesday, March 20, 2018 at 4AM Pacific time.
It should go live on DEV and QA as soon as possible so it can be reviewed by OMs and CD.
Proposed Field: author_image_url
The main information for this post is here: https://github.ibm.com/dap/dsx-documentation-source/issues/1194#issuecomment-5142452
The posts to QA and DEV need to be made immediately.
The post on PROD needs to be timed with the THINK! go live, which is currently scheduled for Tuesday, March 20th at 4AM Pacific Time.
Loading mixed (insecure) display content “http://datascience.ibm.com/blog/content/images/2016/08/wRdxWjmL4w.gif” on a secure page
Loading mixed (insecure) display content “http://datascience.ibm.com/blog/content/images/2016/06/m6QlLRdb3k.gif” on a secure page
This is so electric, even Nikola Tesla would be proud!
Supercharged? More like TerrawattsPetawatts of excitement for your teams when they discover how easy it is to collaborate by using IBM Data Science Experience. Now it's easier than ever because you can invite people that aren't even DSX users. Once they accept your invitation, they are automatically given access to the project, data assets, notebooks, models, and more.
It’s London calling … the new data center is brilliant!
Having DSX available in our London data center means that users based in Europe can experience improved latency and faster, more efficient data transfer, along with all the support and security benefits of an IBM cloud data center. Say, “No” to delays in computer interactions and “Righto, Mate!” to complying with relevant data regulations. Keep Calm and Data On!
https://medium.com/ibm-data-science-experience/dsx-hybrid-mode-91b580450c5b
Hybrid cloud is like a kaleidoscope for data science
The many facets of our data science solution will fill you with delight! With the combined strength of DSX Cloud and DSX Local with Watson Machine Learning you'll be able to begin work on the cloud and then bring it down to earth behind your own firewall. You can build a model on cloud with Scala and Spark client libraries and then complete your analysis with the API client for Python and R4WML in DSX Local. The symmetry is stunning—perfect for reflecting your brilliant data analysis!
Original blog post on Medium is here: https://medium.com/ibm-data-science-experience/join-and-enrich-data-from-multiple-sources-9dd4b903b1d
Here's the title and text to use:
It’s a data mashup!
Left join. Right join. Using Data Refinery, those are just a few of the data operations we can ALL JOIN! With numerous sources of data, from the Cloud, Social Media, and the Internet of Things, you’ve got to find ways to bring it all together. Data Refinery enables you to blend and transform your data like never before.
The latest entries do not show up on the top
See: https://apsportal.ibm.com/whats-new?context=analytics
(5) Notifications (second part of the most-recent post): https://datascience.ibm.com/blog/new-landing-page-and-notifications/
We’d send you an owl or a carrier pigeon, but that can get kind of messy!
Collaborate. Collaborate. Collaborate! Our new notifications are just one part of that. Wouldn’t it be nice to know when you get an invitation? Yup, we’ve got that. How about comments in a notebook? Yup, that too. New data? We’ve got you covered. We’re driving project awareness with our new notifications, just one of the ways we help you to work together! No fowls required.
Original blog post on Medium is here: https://medium.com/ibm-data-science-experience/ibm-data-catalog-is-now-generally-available-3c3387b10792
Here's the title and text to use:
’Tis the season for CATALOGS!
IBM Data Catalog, that is, and with the holidays upon us, you’ll soon be feeling merry and bright! IBM Data Catalog, which is now generally available, lets you discover, catalog, and govern your data. It’s available with both a Lite Plan, which lets you dabble, and a Professional Plan, which lets you create a business glossary and unlimited catalogs, discovery connections, and governance policies. Either way, you’ll feel like you’ve been very good this year!
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