At this year's Tech Inclusion 2019 Conference in San Francisco, Karan Mehra will share how the growing dialogue around allyship inspired him to start a grassroots initiative at Bloomberg. He and like-minded colleagues, united by an agenda to spread awareness, created informative content and socialized it among their colleagues. They incorporated statistics to call attention to the importance of allyship. They used personal stories to connect with their colleagues. They engaged the in-house expertise of researchers like Rachana Bhide. Incorporating lessons learned along the way, they drove meaningful change across Bloomberg’s Engineering organization. Karan will share his experience to inspire others to lead their own grassroots organizational change.

Click here to download a PDF of some resources that Karan shared with attendees of his "Grow Your Own Grassroots Allyship Initiative" talk at Tech Inclusion 2019:

Guide To Growing Your Own Grassroots Allyship Initiative

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Mike Bloomberg welcomed a crowd of over 150 tech community members, Cornell Tech graduate students, and Bloomberg affiliates for our first monthly speaker series. Bloomberg News' Tom Giles moderated the discussion with Sam.

Watch the entire inaugural speaker series below.

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At the May 2018, Future of Data: New York Meetup, senior software developers Esther Kundin & Amit Anand talked about how Bloomberg has been working to push the edge of high-performance low-latency HBase. In their talk entitled "HBase Coprocessors – Uses, Abuses, Solutions," they discussed the performance boosts from using coprocessors, as well as the challenges posed for memory usage, garbage collection, logging, and deployment in a production setting and how these were addressed.

To learn some of the best practices that Bloomberg has found with developing and deploying HBase coprocessors, download their slides here.

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Spark Summit brings the Apache Spark community together. Many came to hear from leading production users of Spark, SparkSQL, Spark Streaming and related projects. Attendees found out where the project development is going, and learn how to use the Spark stack in a variety of applications.

Joy Chakraborty, Distributed Application Architect, delivered a presentation entitled "Secured (Kerberos-based) Spark Notebook for Data Science" in which he provided technical design and development insights to set up a Kerberosed (secured) JupyterHub notebook using Spark. Joy showed how Bloomberg set up the Kerberos-based Spark-notebook-integrating JupyterHub, Sparkmagic, and Livy. Check out the slides here and watch Joy’s presentation below.Software Engineer Shubham Chopra also delivered a talk entitled "Spark and Online Analytics" about how Bloomberg uses Spark Server as a server runtime for online analytics. In this talk, he tries to identify specific areas where slow-down or failures can result in the largest hits on online-query performance and potential solutions to address these. Check out his slides here and watch Shubham's presentation below.

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Bloomberg senior software engineer Armin Burgmeier presented a talk entitled "Using Conda to Build a Custom Data Science Distribution at Bloomberg" about the experiences our team has had using the conda package manager to build a custom distribution of free software packages combined with Bloomberg-specific libraries for data retrieval and analytics, targeting other internal teams of developers as consumers. Conda helped solve one of our central challenges which is avoiding inadvertently breaking the our users' code, while providing an up-to-date Python software stack. The talk also discussed the architecture of our infrastructure based on conda-forge and buildbot. Check out the slides here and watch Armin's presentation below.

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Having done the hard work to "help customers and members feel that they are valued and are getting personal attention" (Gallup), they have a unique opportunity to leverage data and machine learning methods to:

• Deliver data-driven consumer experiences
• Expand the portfolio to include investment products
• Lighten the burden of regulatory requirements

In this one day conference, industry practitioners will share how they are leveraging data science and machine learning to transform their community financial services organization.

Learn more and apply to attend.

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Michael Rembetsy, from Systems Engineering & Systems Administration, is participating in the "Sysadmins Ask the Managers" panel. For more details, click here.

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