Almost signed up for this and then realized it's IST... would be very interested in a recording or some other option that doesn't require waking up at 5:30 AM my time, as the content sounds great! :)
On Tue, Jul 10, 2018 at 7:58 AM, Sumit Maheshwari <msu...@apache.org> wrote: > FYI: > > > ---------- Forwarded message ---------- > From: Qubole Team <fieldeve...@qubole.com> > Date: Tue, Jul 10, 2018 at 4:12 PM > Subject: [Live Webinar Tomorrow] AIRFlow at Scale - Register Now > To: sum...@qubole.com > > > Big Data Your Way Any Cloud. Any Engine. Any Scale Visit Qubole at Spark > Summit > > > > > > <http://visit.qubole.com/P000K08QAP0dY8030roZja2> > > > > Hi Sumit, > > The Data Team at Qubole collects usage and telemetry data from a million > machines a month. We run many complex ETL workflows to process this data > and provide reports, insights and recommendations to customers, analysts > and data scientists. We use open source distribution of Apache Airflow to > orchestrate our ETL and process more than 1 terabyte of data daily. > > Attend *tomorrow's webinar (3-4 pm IST)*, powered by *Digital Vidya*, and > learn about *how we have extended Apache Airflow to manage the operational > inefficiencies that arise when you manage data pipelines in a multi-tenant > environment*. We will also be talking about how we have made the data > pipelines robust by adding data quality checks using CheckOperators. > > *Key Takeaways:* > > - How we manage deploys and upgrades of data pipelines in a multi-tenant > environment > - How we manage configuration for data pipelines in a multi-tenant > environment > - Data quality issues we faced with data ingestion/transformation > - Enhancements we had to make to Check operators > - Challenges faced in developing the alerting framework > - Lesson learned and best practices in using Apache Airflow for data > quality checks > > > *Register Now! <http://visit.qubole.com/P000K08QAP0dY8030roZja2>* > > Best Regards, > Qubole Team > > > > Register Now for the Webinar→ > <http://visit.qubole.com/P000K08QAP0dY8030roZja2> > > > > > > > > [image: logo-qubole-lp.png] > > > > > > > > Who we are > > > > > > > > > > Data Science Optimization > > Qubole cluster auto-scaling and automated lifecycle management eliminate > barriers to data science. > > > > > > Spark Notebooks in One Click > > Combine code execution, rich text, mathematics, plots, and rich media for > self-service data exploration. > > > > > > Become Data Driven > > Give your team access to Machine Learning, ETL with Spark SQL, and > real-time processing of streaming data. > > > > > > > > > > www.qubole.com > > > [image: facebook] <http://visit.qubole.com/X8A0dpP0K000Z38ra02jQZ0> > [image: > LinkedIn] <http://visit.qubole.com/GjP0Z420rr80Q08A0000dKa> [image: > Twitter] <http://visit.qubole.com/A40s08QP20K8jda00A010rZ> > > > > Qubole, 469 El Camino Real, Suite 205, Santa Clara, CA 95050 > <https://maps.google.com/?q=469+El+Camino+Real,+Suite+205, > +Santa+Clara,+CA+95050&entry=gmail&source=g> > > > > <http://visit.qubole.com/Y08840tKd00ar002APQ02Zj> > > This email was sent to sum...@qubole.com. If you no longer wish to receive > these emails you may unsubscribe > <http://visit.qubole.com/u/yj4QradK080AZP508w00020> at any time. >
