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BEGIN:VEVENT
DTSTAMP:20260719T180755Z
DTSTART;TZID=America/Los_Angeles:20260827T090000
DTEND;TZID=America/Los_Angeles:20260827T110000
SUMMARY:AI-Powered Data Engineering with Lakeflow: Techniques for Modern Da
 ta Professionals | Virtual Event
LAST-MODIFIED:20260719T180755Z
LOCATION:
TZID:America/Los_Angeles
UID:message-10080
DESCRIPTION:Click the link below to go to the event page:\nhttps://communit
 y.databricks.com/t5/learning-events/ai-powered-data-engineering-with-lakef
 low-techniques-for-modern/ec-p/163279#M10080\n\nVIRTUAL EVENT Time: AMER A
 ug 27 / 9:00 AM PT / 12:00 PM ET 🔗 Register for the Workshop  Note: Marki
 ng RSVP on this Community event does not register you for the workshop. Pl
 ease use the Register button above to complete your registration on the of
 ficial event page. This introductory workshop caters to data engineers see
 king hands-on experience and data architects looking to deepen their knowl
 edge. We believe you only become an expert if you work on real problems an
 d gain hands-on experience. Therefore\, we will equip you with your own la
 b environment in this workshop and guide you through practical exercises l
 ike using GitHub\, ingesting data from various sources\, creating batch an
 d streaming data pipelines\, and more. Join us to learn:   Introduction to
  Lakeflow and the Data Intelligence Platform  Getting started with Declara
 tive Pipelines\, Streaming Tables\, and Materialized Views  Working with a
  realistic data streaming use case  Mastering Lakeflow Jobs with advanced 
 control flow and triggers  AI tooling for Data Engineers: Create pipelines
  with Genie Code  Understanding data governance and lineage with Unity Cat
 alog  Benefits of Serverless Compute Agenda   9:00 - 9:05: Welcome & Intro
 ductions  9:05 - 9:20: Data Pipelines for Real-time Decisions  9:20 - 10:3
 5: Hands-on lab and Q&A Register now to secure your spot\, access your ded
 icated lab environment\, and participate in a live 10-minute Q&A with our 
 expert team!
X-ALT-DESC;FMTTYPE=text/html:<P>Click the link below to go to the event pag
 e:</P><BR><A href="https://community.databricks.com/t5/learning-events/ai-
 powered-data-engineering-with-lakeflow-techniques-for-modern/ec-p/163279#M
 10080">https://community.databricks.com/t5/learning-events/ai-powered-data
 -engineering-with-lakeflow-techniques-for-modern/ec-p/163279#M10080</A><BR
 ><BR><P data-path-to-node="0">VIRTUAL EVENT</P>\n<P data-path-to-node="1">
 <STRONG data-index-in-node="0" data-path-to-node="1">Time:&nbsp\;</STRONG>
 AMER Aug 27 / 9:00 AM PT / 12:00 PM ET</P>\n<P class="p8i6j01 paragraph li
 a-align-center" style="text-align: center\;"><A style="background-color: #
 ff3621\; color: white\; padding: 10px 20px\; text-decoration: none\; borde
 r-radius: 5px\; font-weight: bold\; display: inline-block\;" href="https:/
 /www.databricks.com/resources/webinar/ai-powered-data-engineering-lakeflow
 -techniques-modern-data-professionals?utm_source=bambu&amp\;utm_medium=soc
 ial&amp\;utm_campaign=advocacy" target="_blank" rel="noopener nofollow nor
 eferrer"> <span class="lia-unicode-emoji" title=":link:">🔗</span> Registe
 r for the Workshop </A></P>\n<P data-path-to-node="4"><FONT color="#999999
 ">Note: Marking RSVP on this Community event does not register you for the
  workshop. Please use the Register button above to complete your registrat
 ion on the official event page.</FONT></P>\n<P data-path-to-node="5">This 
 introductory workshop caters to data engineers seeking hands-on experience
  and data architects looking to deepen their knowledge.</P>\n<P data-path-
 to-node="6">We believe you only <SPAN class="citation-185">become an exper
 t if you work on real problems</SPAN><SPAN class="citation-185"> and gain 
 hands-on experience. </SPAN><SPAN class="citation-184 citation-185">Theref
 ore\, </SPAN><SPAN class="citation-184 citation-185">we will equip you wit
 h your own lab environment in this workshop</SPAN><SPAN class="citation-18
 4 citation-185 citation-end-185"> and guide you through practical exercise
 s like using GitHub\, ingesting data from various sources\, creating batch
  </SPAN><SPAN class="citation-184 citation-end-184">and streaming data pip
 elines\, an</SPAN>d more.</P>\n<P data-path-to-node="7"><FONT size="4"><ST
 RONG>Join us to learn:</STRONG></FONT></P>\n<UL data-path-to-node="8">\n<L
 I>\n<P data-path-to-node="8\,0\,0">Introduction to Lakeflow and the <SPAN 
 class="citation-183 citation-end-183">Data Intelligence Platform</SPAN></P
 >\n</LI>\n<LI>\n<P data-path-to-node="8\,1\,0"><SPAN class="citation-182 c
 itation-end-182">Getting started with Declarative Pipelines\, Streaming Ta
 bles\, and Materialized Views</SPAN></P>\n</LI>\n<LI>\n<P data-path-to-nod
 e="8\,2\,0"><SPAN class="citation-181 citation-end-181">Working with a rea
 listic data streaming use case</SPAN></P>\n</LI>\n<LI>\n<P data-path-to-no
 de="8\,3\,0"><SPAN class="citation-180 citation-end-180">Mastering Lakeflo
 w Jobs with advanced control flow a</SPAN>nd triggers</P>\n</LI>\n<LI>\n<P
  data-path-to-node="8\,4\,0">AI tooling for Data Engineers: Create pipelin
 es with Genie Code</P>\n</LI>\n<LI>\n<P data-path-to-node="8\,5\,0">Unders
 tanding data governance and lineage with Unity Catalog</P>\n</LI>\n<LI>\n<
 P data-path-to-node="8\,6\,0">Benefits of Serverless Compute</P>\n</LI>\n<
 /UL>\n<P data-path-to-node="9"><FONT size="4"><STRONG data-index-in-node="
 0" data-path-to-node="9">Agenda</STRONG></FONT></P>\n<UL data-path-to-node
 ="10">\n<LI>\n<P data-path-to-node="10\,0\,0">9:00 - 9:05: Welcome &amp\; 
 Introductions</P>\n</LI>\n<LI>\n<P data-path-to-node="10\,0\,0">9:05 - 9:2
 0: Data Pipelines for Real-time Decisions</P>\n</LI>\n<LI>\n<P data-path-t
 o-node="10\,2\,0">9:20 - 10:35: Hands-on lab and Q&amp\;A</P>\n</LI>\n</UL
 >\n<P data-path-to-node="11">Register now to secure your spot\, access you
 r dedicated lab environment\, and participate in a live 10-minute Q&amp\;A
  with our expert team!</P>
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