Knowledge Hut
MAY 6, 2024
Recruitment is a challenging, time-consuming and costly process. In one of my previous engagements, I had a chance to work with the hiring team to help streamline the Agile recruitment process and make it a wow experience for the recruiters as well as for the candidates. The process was not harmonized across all business units.
Waitingforcode
APRIL 24, 2024
Turns out, stream processing also has its skew but more related to time. As a data engineer you're certainly familiar with data skew. Yes, this bad phenomena where one task takes considerably more input than the others and often causes unexpected latency or failures.
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Waitingforcode
JANUARY 2, 2024
If you're interested in stream processing, I bet your thinking is technology-based. It's not wrong, after all, the ability to use a tool gives you and me a job. However, for a long-term consideration it's better to reason in terms of patterns or models. Being aware of a more general vision helps assimilate new tools.
Knowledge Hut
JANUARY 31, 2024
Managing competing priorities, costs, risks, and responsibilities necessitates a clear process and cross-functional collaboration. Exploring the principles, processes, and importance of ITIL service design. Process and performance enhancements Improved service consistency and quality What is Service Design?
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This exhaustive guide with a foreword from BI analyst Jen Underwood dives deep into the BI buying process and explores how to decide what features you need. The business intelligence market has exploded. And as the number of vendors grows, it gets harder to make sense of it all. Don't go into the fray unarmed.
Confessions of a Data Guy
MAY 2, 2024
When it comes to debugging […] The post Reading and Processing JSON with Rust vs Python. I think about this a lot as I’m writing code on a daily basis. I’ve found I like being explicit and verbose when writing code, rather than being vague in what I’m doing most of the time.
Confessions of a Data Guy
APRIL 19, 2024
The idea was to see if the two tools could process “larger than memory” datasets with lazy execution. Back in March, I did a writeup and experiment called DuckDB vs Polars, Thunderdom, 16GB on 4GB machine challenge. Polars worked fine, DuckDB failed in spectacular fashion. appeared first on Confessions of a Data Guy.
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Just by embedding analytics, application owners can charge 24% more for their product. How much value could you add? This framework explains how application enhancements can extend your product offerings. Brought to you by Logi Analytics.
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Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.
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Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.
Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage
To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs.
Speaker: Anne Steiner and David Laribee
It emphasizes engineers’ efficiency and satisfaction during the product development process. As a concept, Developer Experience (DX) has gained significant attention in the tech industry.
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