This article is contributed. See the original author and article here.
We continue to expand the Azure Marketplace ecosystem. For this volume, 102 new offers successfully met the onboarding criteria and went live. See details of the new offers below: | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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This article is contributed. See the original author and article here.
Teams is built on the Microsoft 365 hyper-scale, enterprise-grade cloud, delivering advanced security and compliance capabilities. These capabilities can be managed across Microsoft services including Teams through a single pane of glass experience in Microsoft 365 Security and Compliance centers.
Currently these capabilities are available in Teams for chat and file content. As a collaboration hub, Microsoft Teams brings together apps & services you love into Teams. Adaptive Cards, being platform-agnostic, are preferred vehicles for sharing information between Teams and other apps and services whether you are using apps for project management, productivity, sales, support and more.
More than 70% of the apps today generate card content in Teams conversations. Much of this is business communication and would fall under the purview of regulations as it is with Teams chat and file content.
We are excited to announce that Microsoft 365 compliance capabilities are now available for Adaptive Card content generated through apps in Teams messages. The following capabilities are now generally available:
The above capabilities are built in platform and will be available for all apps including 1P, 3P and LOB apps. There is no additional work required from app developers to enable them. For the tenant admins, selecting Teams as a location in the above compliance workflows will now automatically include card content generated through apps in the corresponding Teams conversations.
Legal hold
When a reasonable expectation of litigation exists, organizations are required to preserve electronically stored information (ESI), including Teams chat messages that are relevant to the case. Selecting Teams as a location in a Litigation hold workflow will now automatically include Adaptive Card content generated through apps in the corresponding Teams conversations including 1:1 chat, 1:many or group chat, or a channel conversation.
For more information on Teams and eDiscovery holds, please see Create an eDiscovery hold.
eDiscovery
Large Enterprises are often exposed to high penalty legal proceedings that demand submission of all Electronically Stored Information (ESI). Microsoft Teams content can be searched and used during eDiscovery investigations. Now in addition to chat and file content, Adaptive Card content generated through apps in Teams can be searched and exported.
Like Teams chat content, card content generated via Teams apps in 1:1 or group chats is journaled through to the respective user mailboxes and card content generated in channels is journaled through to the group mailbox representing the team. Adaptive Card content is converted to a html file and journaled as a message with the html file as attachment.
Selecting Teams as a location in Core eDiscovery or Advanced eDiscovery workflows will now automatically include card content generated through apps in the corresponding Teams conversations including 1:1 chat, 1:many or group chat, or a channel conversation.
For more information on Teams and eDiscovery, please see Conduct an eDiscovery investigation of content – Microsoft Teams | Microsoft Docs.
Audit
Audit log can help you investigate specific activities across Microsoft 365 services including Teams. Now inline input actions on Adaptive Cards will be available in the audit log. You can filter audit logs corresponding to actions on cards by selecting “Performed action on card” as the Teams activity.
Retention
Retention policies help you to effectively manage the information in your organization. Use retention policies to keep data that’s needed to comply with your organization’s internal policies, industry regulations, or legal needs, and to delete data that’s considered a liability, that you’re no longer required to keep, or has no legal or business value.
Now, in addition to Teams chat and file content, you can include card content in your retention policies. Selecting Teams as a location while setting up retention policy will now automatically include Adaptive Card content generated through apps in the corresponding Teams conversations including 1:1 chat, 1:many or group chat, or a channel conversation.
What app developers are saying about these new capabilities
We are thrilled to extend these Microsoft 365 compliance capabilities to card content generated from Teams apps. To help highlight how great these capabilities are, take a look at a few testimonials from the app developers that we worked closely to enable this feature!
We’d like to hear your feedback on the product to keep improving functionality, adding new features, and enhancing existing ones. Sign in today using your Microsoft 365 account, and give us feedback via the Feedback button at the bottom right corner of Microsoft 365 compliance center.
This article is contributed. See the original author and article here.
In today’s fast-paced business environment, agility requires seamless data collaboration across the organization—and data engineers are key to an organization’s success. These professionals know that cloud analytics is a critical first step to resilient business transformation, and they spend their days unlocking data and putting it to work for key insights and ground-breaking value. If you have these skills and want to prove them, check out this certification.
The Azure Data Engineer Associate certification validates that you have subject matter expertise in designing and implementing the management, monitoring, security, and privacy of data solutions using the full stack of Azure data services to successfully support business needs.
You earn the certification by passing Exam DP-200: Implementing an Azure Data Solution and Exam DP-201: Designing an Azure Data Solution, which are live through June 30, 2021. Or, after February 23, 2021, you can earn the certification by passing Exam DP-203: Data Engineering on Microsoft Azure, which will eventually replace both Exam DP-200 and Exam DP-201. Data expertise is essential to the digital revolution, and the updated exam better aligns to the evolving skills of real-world data engineer roles.
Passing either the first set of exams or the new exam will earn you the certification. If you’ve been preparing for Exam DP-200 and Exam DP-201, you still have time to take them before they retire on June 30, 2021. If you’re just beginning your exam prep, consider taking the new exam instead, after the beta version is available on February 23, 2021. For more details, please read our blog post, We’re taking Azure certifications for data and AI to the next level.
Azure data engineers integrate, transform, and consolidate data from various systems into structures that are suitable for building analytics solutions. They explore and investigate specific data questions posed by stakeholders, and they build and maintain secure and compliant processing pipelines by using different tools and techniques. These professionals use various Azure data services and languages to store and produce cleansed and enhanced datasets for analysis.
Data engineers help ensure that data pipelines and stores are high-performing, efficient, organized, and reliable, given a specific set of business requirements and constraints. They deal with unanticipated issues swiftly, and they minimize data loss. They also design, implement, monitor, and optimize platforms to meet the pipeline needs.
These professionals must have solid knowledge of data processing languages, such as SQL, Python, or Scala, and they need to understand parallel processing and data architecture patterns.
To see how the required knowledge and experience will change with the new version of the exam, review the Exam DP-203 skills outline guide.
To help you plan your journey, check out our infographic, The journey to Microsoft Certified: Azure Data Engineer Associate. You can also find it in the resources section on the certification and exam pages, which contains other valuable help for Azure data engineers.
To map out your journey, follow the sequence in the infographic. First, decide whether this is the right certification for you.
Next, to understand what you’ll be measured on, review the Exam DP-200 skills outline guide and the Exam DP-201 skills outline guide on the exam pages. To understand the skills measured by the new exam, check out the Exam DP-203 skills outline guide.
Sign up for training that fits your learning style and experience:
Complement your training with additional resources, like Microsoft Docs or the Azure Architecture Center. Don’t miss the Data Exposed show on Channel 9, which explores everything about data—relational and non-relational, on-premises and in the cloud, big and small.
Then take a trial run with Microsoft Official Practice Test DP-200: Implementing an Azure Data Solution or Microsoft Official Practice Test DP-201: Designing an Azure Data Solution. All objectives of the exam are covered in depth, so you’ll find what you need to be ready for any question.
After you pass the exam and earn your certification, check out the many other training and certification opportunities. Want to increase your knowledge and experience around Azure data engineering? Consider taking additional self-paced learning, like Migrate SQL workloads to Azure, or more in-depth instructor-led training, like Migrate Open Source Data Workloads to Azure.
Note: Remember that Microsoft Certifications assess how well you apply what you know to solve real business challenges. Our training resources are useful for reinforcing your knowledge, but you’ll always need experience in the role and with the platform.
If you’ve already earned your Azure Data Engineer Associate certification, but it’s expiring in the near future, we’ve got good news. You’ll soon be able to renew your current certifications by passing a free renewal assessment on Microsoft Learn—anytime within six months before your certification expires. For more details, please read our blog post, Stay current with in-demand skills through free certification renewals.
Many organizations today have petabytes of data, and analytics and AI play pivotal roles in putting this data to work—as do data engineers. These professionals work with data from many sources, and they know how to do this quickly and securely to deliver cost savings, new insights, improved business processes, and ground-breaking value. Ready to prove your worth to your team—and to current and future employers? Roll up your sleeves, and get started earning your Azure Data Engineer certification.
Related announcements
Understanding Microsoft Azure certifications
Finding the right Microsoft Azure certification for you
Master the basics of Microsoft Azure – cloud, data, and AI
We’re taking Azure certifications for data and AI to the next level
Stay current with in-demand skills through free certification renewals
This article is contributed. See the original author and article here.
Since SAP HANA 2.0 SPS03 (Rev 35) and above versions, data volumes on the Indexserver can be partitioned so that read and write operations can run in parallel with increased data throughput. Also, the HANA startup time will benefit from this feature because the data throughput will increase massively, depending in the number and performance of the additional disks or volumes.
HANA data partitioning is only available for data volumes not for log volumes.
This, of course, can be configured on our HLI’s and on VM’s with Premium Managed Disks or Azure NetApp Files (ANF).
There is no additional certification required.
Interesting Links:
SAP HANA – Partitioning Data Volumes | SAP Blogs
2400005 – FAQ: SAP HANA Persistence – SAP ONE Support Launchpad
Partitioning Data Volumes – SAP Help Portal
It can be one option to create a HANA partitioning with 2 or 4 volumes…
This documentation is covering the configuration of 2 data volumes.
Create a second data path directory.
mkdir -p /hana/data2/ML4/mnt00001
Create the /etc/fstab entry.
vi /etc/fstab
10.20.255.31:/hana_data2_a91_t250_vol /hana/data2/ML4/mnt00001 nfs rw,hard,nosuid,timeo=600,vers=4.1,rsize=1048576,wsize=1048576,intr,noatime,lock 0 0
Set the user permissions.
chown -R ml4adm:sapsys /hana/data2
Enable HANA to work with multi data partitioning.
su – ml4adm
cdcoc
vi global.ini
[customizable_functionalities]
persistence_datavolume_partition_multipath = true
restart HANA
sapcontrol -nr 02 -function StopSystem
sapcontrol -nr 02 -function StartSystem
See the actual size of the datavolume 1:
ls -l /hana/data/ML4/mnt00001/hdb00003.00003/
ml4adm sapsys 127708168192 Jan 18 08:01 datavolume_0000.dat
Execute the following SQL statement against the tenant database:
hdbsql -u system -p <PASSWD> -n localhost:30215
ALTER SYSTEM ALTER DATAVOLUME ADD PARTITION PATH '/hana/data2/ML4';
HANA will do the striping over time.
ls -l /hana/data2/ML4/mnt00001/hdb00003.00003/
ml4adm sapsys 0 Jan 18 08:04 datavolume_0001.dat
After some time the situation will change….
ls -l /hana/data2/ML4/mnt00001/hdb00003.00003/
ml4adm sapsys 23219666944 Jan 18 2021 datavolume_0001.dat
ls -l /hana/data/ML4/mnt00001/hdb00003.00003/
ml4adm sapsys 127708168192 Jan 18 08:43 datavolume_0000.dat
With HANA data partitioning the HANA Savepoint will benefit massively from the striping over many disks/volumes. This Graph shown the savepoint behavior with a single data volume:
To measure the additional data files with HCMT use the appropriate json config file.
This config file is called multivolume.json…
Here is a place where we can add the additional datafiles…
"Variables": [
{
"Comment": "The <Value> should be adapted to the HANA log multi volume paths",
"Name": "LogVolumes",
"Value": "/hana/log/ML4/mnt00001",
"Request": "true"
},
{
"Comment": "The <Value> should be adapted to the HANA data multi volume paths",
"Name": "DataVolumes",
"Value": "/hana/data/ML4/mnt00001,/hana/data2/ML4/mnt00001",
"Request": "true",
"Profile": "LNX"
},
This is just a result on my system. Performance surly is dependent on many different parameter and configuration options.
As a result, we can compare the data write results.
Block size Data Write values with one data-file Data write values with two data-files
Initialwrite Overwrite Initialwrite Overwrite
For snapshot-based backups, please play close attention that you snapshot all data volumes belonging to the same database.
This article is contributed. See the original author and article here.
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Level up your Git knowledge by learning about how to keep code separate using branches and how to merge them later
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Learn how to use Markdown to effectively communicate with others in your GitHub issues, pull requests, comments, and documentation. Then learn how to build project sites and blog posts to promote your projects with GitHub Pages.
In this learning path, you’ll learn how:
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Learn how to enable the Windows Subsystem for Linux (WSL), install your favorite Linux distribution, set up an integrated dev environment with Visual Studio Code, and more.
The time it takes to complete this course could vary because you will need to install multiple tools.
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