Cloud Computing

Datacast Episode 113: Data Applications, Real-Time Analytics, and Cloud Product Management with Shruti Bhat

Datacast Episode 113: Data Applications, Real-Time Analytics, and Cloud Product Management with Shruti Bhat

Shruti Bhat leads product management and marketing at Rockset. Before Rockset, she led Product Management for Oracle Cloud, focusing on AI, IoT, and Blockchain. Previously, she was the VP of Marketing at Ravello Systems, where she drove the start-up's rapid growth from pre-launch to hundreds of customers and a successful acquisition. Before that, she was responsible for launching VMware's vSAN and led engineering teams at HP and IBM. Shruti has a bachelor's in computer science engineering and an MBA from UCLA Anderson.

Datacast Episode 86: Risk Management, Open-Source Governance, and Negative Engineering with Jeremiah Lowin

Datacast Episode 86: Risk Management, Open-Source Governance, and Negative Engineering with Jeremiah Lowin

Jeremiah Lowin is the Founder & CEO of Prefect, a dataflow automation company. Before starting Prefect, Jeremiah gained extensive experience in all aspects of the modern data stack as a director of risk management, machine learning researcher, and data scientist at a number of institutional investment firms. Today, he lives with his wife and two sons in Washington, DC.

What I Learned From DataOps Unleashed 2022

What I Learned From DataOps Unleashed 2022

Earlier this month, I attended the second iteration of DataOps Unleashed, a great event that examines the emergence of DataOps, CloudOps, AIOps, and other professionals coming together to share the latest trends and best practices for running, managing, and monitoring data pipelines and data-intensive analytics workloads.

In this long-form blog recap, I will dissect content from the session talks that I found most useful from attending the summit. These talks are from DataOps professionals at leading organizations detailing how they establish data predictability, increase reliability, and reduce costs with their data pipelines. If interested, you should also check out my recap of DataOps Unleashed 2021 last year.

Datacast Episode 84: Business Development and Customer Success for Emerging Technologies with Taimur Rashid

Datacast Episode 84: Business Development and Customer Success for Emerging Technologies with Taimur Rashid

As Chief Business Development Officer, Taimur is responsible for developing emerging businesses at Redis and leading strategic business & corporate development. He is currently leading initiatives related to AI/ML.

Prior to Redis, Taimur led Worldwide Customer Success for Microsoft's Azure Data & AI. He jointly led the design, implementation, and landing of one of Microsoft's largest field transformations, which combined customer success, support engineering, and technical account management.

Before Microsoft, Taimur was the Managing Director for Amazon Web Services (AWS) Platform Technology and Applications - where he led business development from 2008 (near its inception) to 2018 when the business reached $25B in ARR. Taimur helped forge key partnerships and customers, including Airbnb, CapitalOne, Dropbox, Liberty Mutual, NASA JPL, Nasdaq, Netflix, Nintendo, Intuit, SAP, and Samsung.

Taimur grew up in three countries and lived in five states. Bellevue, WA is home for him, where he lives with his wife and three boys. Taimur enjoys cross-training, hiking, and biking. He is an avid reader of technology, business, and history. He enjoys art, music, coffee, and cooking on the weekends for his family.

What I Learned From The Modern Data Stack Conference 2021

What I Learned From The Modern Data Stack Conference 2021

Back in September 2021, I attended the second annual Modern Data Stack Conference, Fivetran’s community-focused event that brings together hundreds of data analysts, data engineers, and data leaders to share the impact and experiences of next-generation analytics. The presenters shared the transformations they experienced with their analytics teams, the new insights and tooling they enabled, and the best practices they employ to drive insights across their organizations.

In this long-form blog recap, I will dissect content from 14 sessions that I found most useful from the conference. These talks are broken down into 4 categories tailored to 4 personas: data engineers, data analysts, product managers, and data team leads. Let’s dive in!

Datacast Episode 74: The Next Generation of Business Intelligence with Cindi Howson

Datacast Episode 74: The Next Generation of Business Intelligence with Cindi Howson

Cindi Howson, the Chief Data Strategy Officer at ThoughtSpot, is an analytics and Business Intelligence expert with more than 20 years of experience and a flair for bridging business needs with technology.

Cindi was previously the Vice President in data and analytics at Gartner, where she was the lead author of the Analytics and BI Magic Quadrant. Additionally, she led the data and analytics maturity model, as well as research initiatives in data and AI for good, NLP/BI Search, and augmented analytics.

Prior to this, she was the founder of BI Scorecard, a contributor to Information Week, and the author of several books, including (1) Successful Business Intelligence: Unlock the Value of BI & Big Data and (2) SAP BusinessObjects BI 4.0: The Complete Reference. She has an MBA from Rice University and a BA from the University of Maryland.

Datacast Episode 43: From Economics and Operations Management to Data Science with Francesca Lazzeri

Datacast Episode 43: From Economics and Operations Management to Data Science with Francesca Lazzeri

Francesca Lazzeri, Ph.D., is an experienced scientist and machine learning practitioner with over 12 years of academic and industry experience. She is the author of several publications, including technology journals, conferences, and books. She currently leads an international team of cloud advocates and developers at Microsoft, managing an extensive portfolio of customers in the academic/education sector, and building intelligent automated solutions on the Cloud.

Before joining Microsoft, she was a research fellow at Harvard University in the Technology and Operations Management Unit. She is also an advisory board member of the Global Women in Data Science (WiDS) initiative, a machine learning mentor at the Massachusetts Institute of Technology and Columbia University, and an active member of the AI community.

Datacast Episode 39: Serverless Machine Learning In Action with Carl Osipov

Datacast Episode 39: Serverless Machine Learning In Action with Carl Osipov

Carl Osipov is the Chief Technology Officer of CounterFactual.AI - a boutique machine learning consultancy he co-founded with his friend from IBM. Previously, he held engineering and technical leadership roles at Google and IBM, on programs and projects across both United States and Europe, in the areas of machine learning, computational natural language processing, cloud computing, and big data analytics.

Carl is also an inventor with six patents at USPTO and is an author of "Serverless Machine Learning in Action," a book from Manning Publishers, currently available as an ebook subscription and expected in print in early 2021.

Datacast Episode 9: Diving into Data Engineering with Mark Sellors

Datacast Episode 9: Diving into Data Engineering with Mark Sellors

Mark Sellors is the Head of Data Engineering at Mango Solutions, a UK based Data Science consultancy. He has more than a decade’s experience working with analytical computing environments, DevOps and Unix/Linux. He uses his experience to help Mango’s customers transform their analytic capabilities to ensure they can make the most of their data.

The 10 Operating System Concepts Software Developers Need to Remember

The 10 Operating System Concepts Software Developers Need to Remember

Do you speak binary? Can you comprehend machine code? If I gave you a sheet full of 1s and 0s could you tell me what it means/does? Your operating system functions as that translator in your PC. It converts those 1s and 0s, yes/no, on/off values into a readable language that you will understand.

If curious, check out this long post I wrote on the 10 most important concepts about Operating System. You'll understand how your computer works in a much more detailed way.