July 2021 - Page 9 of 37 - Dr. Ware Technology Services

Partition Stream Analytics output and query it with serverless Synapse SQL

by Contributed | Jul 19, 2021 | Technology

This article is contributed. See the original author and article here.

The use case is as follows: I have water meter telemetry I would like to do analytics on.
Events are ingested from water meters and collected into a data lake in parquet format. The data is partitioned by Year, Month and Day based on the timestamp contained in the events themselves and not based on the time of the event processing in ASA as this is a frequent requirement.

Events are sent from the on premise SCADA systems to Event Hub then processed by Stream Analytics which then can easily:

Convert events sent in JSON format into partitioned parquet.

Portioning is based on Year/Month/Day.

Date used for partitioning is coming from within the event.

The result can immediately be queried with serverless Synapse SQL pool.

Input Stream

My ASA input stream named inputEventHub is plugged into an Event Hub in JSON format.

Output Stream

The output stream is the interesting part and will define the partition scheme:

We see that its path pattern is based on a pseudo column named “time_struct” and all the partitioning logic is in the construct of this pseudo column.

Let’s have a look at the ASA query:

We can see now that the pseudo_column time_struct contains the path, ASA understands it and processes it literally including the “/” sign.

Here is the query code:

select 
    concat('year=',substring(createdAt,1,4),'/month=',substring(createdAt,6,2),'/day=',substring(createdAt,9,2)) as time_struct,
    eventId,
    [type],
    deviceId,
    deviceSequenceNumber,
    createdAt,
    Value,
    complexData,
    EventEnqueuedUtcTime AS enqueuedAt,
    EventProcessedUtcTime AS processedAt,
    cast(UDF.GetCurrentDateTime('') as datetime) AS storedAt,
    PartitionId
into
    [lionelpdl]
from 
    [inputEventHub]

After few days of processing the output folder looks like this as a result:

Query results with serveless SQL and take advantage of partitioning

Now I can directly query my Output Stream with serverless SQL:

We can also notice that the metadata functions are fully functional without any additional work. For example I can run the following query using filepath metadata function:

  SELECT top 100
    [result].filepath(1) AS [year]
    ,[result].filepath(2) AS [month]
    ,[result].filepath(3) AS [day]
    ,*
FROM
    OPENROWSET(
        BULK 'https://lionelpdl.dfs.core.windows.net/parquetzone/deplasa1/year=*/month=*/day=*/*.parquet',
        FORMAT='PARQUET'
    ) AS [result]

where [result].filepath(2)=6
  and [result].filepath(3)=23

Spark post processing

Finally, to optimize my query performance I can schedule a Spark job which processes daily all events from the previous day, compacts them into fewer and larger parquet files.

As an example, I’ve decided to rebuild the partitions with files containing 2 million rows.

Here are 2 versions of the same code:

PySpark notebook (for interactive testing for instance)

from pyspark.sql import SparkSession
from pyspark.sql.types import *
from functools import reduce
from pyspark.sql import DataFrame
import datetime

account_name = "storage_account_name"
container_name = "container_name"
source_root = "source_directory_name"
target_root = "target_directory_name"
days_backwards = 4 #number of days from today, typicaly, as a daily job it'll be set to 1
adls_path = 'abfss://%s@%s.dfs.core.windows.net/%s' % (container_name, account_name, source_root)

hier = datetime.date.today() - datetime.timedelta(days = days_backwards)
day_to_process = '/year=%04d/month=%02d/day=%02d/' % (hier.year,hier.month,hier.day)
file_pattern='*.parquet'

print((adls_path + day_to_process + file_pattern))

df = spark.read.parquet(adls_path + day_to_process + file_pattern)

adls_result = 'abfss://%s@%s.dfs.core.windows.net/%s' % (container_name, account_name, target_root)

print(adls_result + day_to_process + file_pattern)

df.coalesce(1).write.option("header",True) 
        .mode("overwrite") 
        .option("maxRecordsPerFile", 2000000) 
        .parquet(adls_result + day_to_process)

Spark job (with input parameters scheduled daily)

import sys
import datetime
from pyspark import SparkContext, SparkConf
from pyspark.sql import SparkSession
from pyspark.sql.types import *
from functools import reduce
from pyspark.sql import DataFrame

if __name__ == "__main__":
	
	# create Spark context with necessary configuration
	conf = SparkConf().setAppName("dailyconversion").set("spark.hadoop.validateOutputSpecs", "false")
	sc = SparkContext(conf=conf)
	spark = SparkSession(sc)
	
	account_name = sys.argv[1] #'storage_account_name'
	container_name = sys.argv[2] #"container_name"
	source_root = sys.argv[3] #"source_directory_name"
	target_root = sys.argv[4] #"target_directory_name"
	days_backwards = sys.argv[5] #number of days backwards in order to reprocess the parquet files, typically 1

	hier = datetime.date.today() - datetime.timedelta(days=int(days_backwards))
    
	day_to_process = '/year=%04d/month=%02d/day=%02d/' % (hier.year,hier.month,hier.day)
	file_pattern='*.parquet'

	adls_path = 'abfss://%s@%s.dfs.core.windows.net/%s' % (container_name, account_name, source_root)

	print((adls_path + day_to_process + file_pattern))

	df = spark.read.parquet(adls_path + day_to_process + file_pattern)
	#display (df.limit(10))
	#df.printSchema()
	#display(df)
	adls_result = 'abfss://%s@%s.dfs.core.windows.net/%s' % (container_name, account_name, target_root)

	print(adls_result + day_to_process + file_pattern)

	df.coalesce(1).write.option("header",True) 
		.mode("overwrite") 
		.option("maxRecordsPerFile", 2000000) 
		.parquet(adls_result + day_to_process)

Conclusion

In this article we have covered:

How to easily use Stream Analytics to write an output with partitioned parquet files.

How to use serverless Synapse SQL pool to query Stream analytics output.

How to reduce the number of parquet files using synapse Spark pool.

Additional resources:

Partitioning of the output stream is built based on Azure Stream Analytics custom blob output partitioning | Microsoft Docs

Querying the data using file metadata with serverless SQL is based on Using file metadata in queries – Azure Synapse Analytics | Microsoft Docs

Additional Apache Spark post processing of parquet files is based on Tutorial: Create Apache Spark job definition in Synapse Studio – Azure Synapse Analytics | Microsoft Docs

Manage your hybrid environments consistently with Azure Arc

by Contributed | Jul 19, 2021 | Technology

This article is contributed. See the original author and article here.

Over 95 percent of Fortune 500 companies are transforming their businesses using Azure, relying on an enterprise-grade infrastructure and deep integration with the rest of the Microsoft Cloud. The Azure Migration and Modernization Program (AMMP) has helped thousands of customers unlock the benefits of the cloud, with the right mix of expert guidance and best practices to migrate to Azure. We’ve learned through this journey that customer environments are diverse and complex – there are workloads that can be migrated and there are others that must stay on-premises due to regulatory, data sovereignty, and latency requirements. Whatever the reason, it’s clear that a hybrid approach is a reality for most companies.

Customers tell us that a key challenge with hybrid adoption is consistent management, governance, and security across distributed locations. With Azure Arc, you can organize, govern and secure your servers and Kubernetes clusters across data centers, the edge, and multi-cloud environments, in a consistent manner, along your migration journey.

To demonstrate this, today we are excited to share a new Microsoft Mechanics video with Matt McSpirit and Jeremy Chapman who will show how your resources in the Cloud can work seamlessly with resources on-premises under a single management plane enabled by Azure Arc. Check it out today!

Get started with Azure Arc

Visit the Azure Arc learn modules to discover Azure Arc with step-by-step guidance. Earn badges and have fun along the way!

Read more on the Azure Arc homepage and docs

Get hands-on experience with the Azure Arc Jumpstart and watch recorded snackable videos of the scenarios on the YouTube Channel.

Turn attendees into loyal customers with Microsoft Teams and Dynamics 365 Marketing

by Contributed | Jul 19, 2021 | Dynamics 365, Microsoft 365, Technology

This article is contributed. See the original author and article here.

Change. Adapt. Grow. Words we have had to embrace over the past 15 months as we’ve had to change the way we do business. As we start to emerge from the pandemic’s isolation and restrictions, we’re entering a world of a new normal. As consumers, our expectations are higher. To meet ever-changing customer expectations, successful businesses are constantly going through the change, adapt, and grow cycle, especially when it comes to customer experience and virtual events. Many experts project that in-person events will gradually return but the prominence of virtual events is here to stay. And with that comes exciting new opportunities to elevate customer experiences.

To help businesses embrace those opportunities we are announcing the availability of enhanced integration of Microsoft Teams and Microsoft Dynamics 365 Marketing.

We are also announcing a special offer for Microsoft Teams webinar customers with commercial Office 365 E3/E5 or Microsoft 365 E3/E5 subscription with minimum 300 seats can take advantage of that integration by adding six months of Dynamics 365 Marketing at no additional cost to nurture up to 10,000 contacts with personalized emails and engaging customer journeys. This special offer is available through December 31, 2021. More details on the offer and eligibility can be found here.

Win customers and earn loyalty

The new Teams webinars capabilities are remarkable by themselves, but when you add the integration with Dynamics 365 Marketing, they are extraordinary. The power, flexibility, and unlimited possibilities that these two products working together can offer will change the way that you interact with your event attendees. Key capabilities include simplified event management, increased attendee engagement, and effortless follow-up to nurture relationships, win customers, and earn their loyalty faster.

Simplify event management

With the new Teams functionality, you have the power to host secure interactive meetings and webinars that include polls, video sharing, and reactions for up to 1,000 attendees.

You have the flexibility to organize your webinar your wayfrom within Teams or from within Dynamics 365 Marketing, the option is yours. Both ways are easy and intuitive and have improved capabilities.

If you already use event management from within Dynamics 365 Marketing, you will now see a more robust set of event management options that allow you to have better control over your webinar.

If you prefer to create events from within Teams, you will have the same high level of control, but you now have the optional integration and power of Dynamics 365 Marketing to use in elevating your customer journey experience.

Increase attendee engagement

Microsoft Teams makes it easy to catch the attention of your online audience and present like a pro. Use PowerPoint Live and Presenter Mode to deliver more impactful and engaging presentations, and take advantage of new innovations like Standout Mode which enables presenters to appear over content.

Whether it’s before, during, or after your event, you can easily gain insightful information from attendees with real-time polls and surveys from within Teams. Reports that track attendance are also readily available. Use that information to shape your presentation delivery and personalize post-event follow-up.

Follow-up to nurture relationships

Keep the lines of communication active after your Teams webinar concludes. With a single mouse click, attendee engagement data is transferred seamlessly into Dynamics 365 Marketing and automatically populated into pre-built, commonly used segments. Each of those segments corresponds to a built-in, ready-to-send, editable email template for personalized post-event communications and customer journey orchestration. Leverage the dashboards and analytics to gain insights about attendees to further personalize and drive post-event engagement.

Project Management Institute boosts events participation and member experience

“Since we were already familiar with Dynamics 365 and Teams, we were able to pivot quickly to provide virtual events for our members.With Dynamics 365, we’ve removed the struggle from our marketing efforts.”Glory Ikeata, Chair of Volunteer Services Committee, Project Management InstituteMinnesota

Project Management InstituteMinnesota (PMI-MN) provides value to members by sharing project management information and is among the largest PMI chapters in size and member events. PMI-MN aspired to further engage its members and inform them about seminars, certifications, and educational events.

To meet that aspiration, PMI-MN needed a way to centralize disparate member data and use that data to better understand how members interact with their organization. They worked collaboratively with cloud solutions provider TrimaxSecure to implement a comprehensive solution with Microsoft Dynamics 365, Microsoft Teams, and Microsoft Power BI to increase member engagement.

PMI-MN used Dynamics 365 Marketing to build sophisticated marketing journeys to connect with their members via relevant email marketing and the app’s event management capabilities to create event portals to simplify event management for members, volunteers, and speakers.

During the COVID-19 crisis, the chapter was able to shift from in-person to virtual events because it had reliable cloud-based tools to continue to engage its members. PMI-MN used Microsoft Teams for remote events and sent the Teams meeting links through email.

By connecting their event and email marketing efforts, PMI-MN now offers a richer member experience and increased participation in events and workshops. Staff can now quickly and easily manage member information. The chapter has seen retained events revenue increase by almost 90 percent.

Microsoft Core Marketing Engineering turns audiences into customers

“By carefully combining technology solutions in our events platform, including Dynamics 365 and Teams, we’ve enabled our marketing business to generate a 400 percent increase in attendees and a 500 percent increase in new known leads.”Vinh Nguyen, Principal Program Manager, Microsoft

The Core Marketing Engineering (CME) unit at Microsoft wanted to enhance event marketing capabilities, reduce operational complexity around in-person and digital events, and explore Microsoft technology for event management. The business unit accelerated the process when it needed to quickly shift from holding in-person events to hosting them digitally due to COVID-19.

It adopted Microsoft Dynamics 365 Marketing and used the event management capabilities to create an event management center. CME gets additional value from Dynamics 365 Marketing by combining it with Microsoft Teams event functionality, Azure Data Lake Storage, and Power Apps portals.

“By using Dynamics 365 and Teams together, we’ve centralized everything for our marketers, so they no longer have to spend time navigating to an outside system when they want to build a digital event,” says Sanarya Salah, Program Manager at Microsoft.

CME reduced its number of third-party tools, cutting costs and removing complexity for its marketers. It now creates more engaging and interactive events, which has led to better customer engagement and increased leads.

Strengthen customer relationships

The powerful integration of Teams and Dynamics 365 Marketing allows you to convert a single interaction into an ongoing relationship to win customers and earn their loyalty. The limited-time special offer for Microsoft Teams customers presents a unique opportunity to use that integration in your own environmentthe possibilities are extraordinary.

Get started with Microsoft Teams and Dynamics 365 Marketing today.

Learn more

Gain an overview of all capabilities in Dynamics 365 Marketing.
Get greater detail regarding using Microsoft Teams for webinars.
Watch the video demonstration of How to run webinars and meetings using Dynamics 365 Marketing integration with Microsoft Teams.
Contact your Microsoft sales representative or our sales team.

We are always looking for feedback and would like to hear from you. Please head to the Dynamics 365 Community to start a discussion, ask questions, and tell us what you think.

The post Turn attendees into loyal customers with Microsoft Teams and Dynamics 365 Marketing appeared first on Microsoft Dynamics 365 Blog.

Brought to you by Dr. Ware, Microsoft Office 365 Silver Partner, Charleston SC.

U.S. Government Releases Indictment and Several Advisories Detailing Chinese Cyber Threat Activity

by Scott Muniz | Jul 19, 2021 | Security, Technology

This article is contributed. See the original author and article here.

CISA, the Federal Bureau of Investigation (FBI), and the National Security Agency (NSA) have observed increasingly sophisticated Chinese state-sponsored activity targeting U.S. political, economic, military, educational, and critical infrastructure personnel and organizations. In response:

The White House has released a statement attributing recent Microsoft Exchange server exploitation activity to the People’s Republic of China (PRC).
The Department of Justice has indicted four Chinese cyber actors from the advanced persistent threat (APT) group APT40 for malicious cyber activities, carried out on orders from PRC Ministry of State Security (MSS) Hainan State Security Department (HSSD). These activities resulted in the theft of trade secrets, intellectual property, and other high-value information from companies and organizations in the United States and abroad, as well as from multiple foreign governments.
CISA and FBI have released Joint Cybersecurity Advisory: TTPs of Indicted APT40 Actors Associated with China’s MSS Hainan State Security Department to help network defenders identify and remediate APT40 intrusions and established footholds.
CISA, NSA and FBI have released Joint Cybersecurity Advisory: Chinese Observed TTPs, which describes Chinese cyber threat behavior and trends and provides mitigations to help protect the Federal Government; state, local, tribal, and territorial governments; critical infrastructure, defense industrial base, and private industry organizations.
CISA, NSA and FBI have released CISA Insights: Chinese Cyber Threat Overview for Leaders to help leaders understand this threat and how to reduce their organization’s risk of falling victim to cyber espionage and data theft.

CISA also encourages users and administrators to review the blog post, Safeguarding Critical Infrastructure against Threats from the People’s Republic of China, by CISA Executive Assistant Director Eric Goldstein and the China Cyber Threat Overview and Advisories webpage.

Tactics, Techniques, and Procedures of Indicted APT40 Actors Associated with China’s MSS Hainan State Security Department

by Scott Muniz | Jul 19, 2021 | Security, Technology

This article is contributed. See the original author and article here.

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