Tue.Mar 21, 2023

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Top 11 Azure Data Services Interview Questions in 2023

Analytics Vidhya

Introduction In today’s world, data is growing exponentially with time with digitalization. Organizations are using various cloud platforms like Azure, GCP, etc., to store and analyze this data to get valuable business insights from it. You will study top 11 azure interview questions in this article which will discuss different data services like Azure Cosmos […] The post Top 11 Azure Data Services Interview Questions in 2023 appeared first on Analytics Vidhya.

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A Complete Collection of Data Science Free Courses – Part 1

KDnuggets

The first part covers the list of Programming, Web scraping, Statistics & Probability, Data Analytics, SQL, and Business Intelligence free courses.

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Barracuda Networks uses ML on Databricks Lakehouse to prevent email phishing attacks at scale

databricks

This blog is authored by Mohamed Afifi Ibrahim, Principal Machine Learning Engineer at Barracuda Networks. 74% of organizations globally have fallen victim to.

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Building and maintaining the skills taxonomy that powers LinkedIn's Skills Graph

LinkedIn Engineering

Co-authors: Sofus Macskássy, Carol Jin, Shiyong Lin, Xiaomin Wei, and Michael O’Neill When we think of skills, we think of the unique knowledge, expertise, and abilities that each of us has. At LinkedIn, we see skills as more – we see them as a way to level the playing field in the labor market because they represent what a member is capable of – not where they went to school, where they grew up or where they worked.

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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Announcing General Availability of Databricks Unity Catalog on Google Cloud Platform

databricks

We are thrilled to announce that Databricks Unity Catalog is now generally available on Google Cloud Platform (GCP). Unity Catalog provides a unified.

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In the spotlight with Hayley Bird, ThoughtSpot’s Selfless Excellence champion

ThoughtSpot

This is part of our ongoing spotlight series which highlights ThougthSpot’s quarterly Selfless Excellence champion. At ThoughtSpot, Selfless Excellence is the guiding principle for our culture. It means we strive for excellence in everything we do, while always putting the customer and team ahead of ourselves. We prioritize humility and actively discourage office politics of any kind.

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New Snowflake Features Released in February 2023

Snowflake

In February, Snowflake launched new features around streaming data ingestion and data governance and improved SQL experience and performance, with enhancements to Search Optimization Service and more. Read on to learn about everything new announced in February. Data Governance Track Masking & Row Access Policy References in Access History, Now in Public Preview For queries on a table or view protected by a row access policy and columns protected by a masking policy, Snowflake can now track t

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Next Level AI Programming: Prompt Design & Building AI Products

KDnuggets

In this course, we'll dive into the world of prompt design and learn how to create AI products like auto-generated podcasts.

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We did it again. Earn 4.4% APY with Robinhood Gold

Robinhood

Robinhood is raising interest rates once again for Gold members. Earn 4.4% beginning Friday, March 24. Update: Beginning on May 4, the Gold Cash Sweep rate will be 4.65% APY. Read more here. As interest rates continue to rise, Robinhood is yet again passing along benefits to our customers. On Friday, March 24 we’re raising our Robinhood Gold rate –this time to 4.4%.

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Podcast: Data Product @ Oda, Reflection Talking with Data Leaders & Great Migration To Snowflake

Data Engineering Weekly

We are back in our Data Engineering Weekly Radio for edition #121. We will take 2 or 3 articles from each week's Data Engineering Weekly edition and go through an in-depth analysis. Please subscribe to our Podcast on your favorite apps. From editor #121, we took the following articles Oda: Data as a product at Oda Oda writes an exciting blog about “Data as a Product,” describing why we must treat data as a product, dashboard as a product, and the ownership model for data products.

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

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. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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Snowflake: Virtual Column in Data Load

Cloudyard

Read Time: 2 Minute, 20 Second During this post we will discuss a simple but interesting scenario with Virtual Column in Snowflake. Recently as per ask by business we were supposed to load a file into SF. Respective base table related to the file was already created in the Snowflake Database. Source team has placed the file on AWS Cloud in S3 bucket.

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Introducing RudderStack QuickStart Packages

RudderStack

QuickStart Packages make it easy to work directly with RudderStack’s partners at a pre-set cost to help you maximize ROI across your data stack.

IT 60
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How to create components in less than 60 sec

Trio

Are you a software developer tired of spending hours creating components from scratch? We have great news for you!

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Exploring Trends Over Non-Temporal Dimensions in Superset and Preset

Preset

Learn about the key updates to the x-axis configuration in Preset charts!

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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

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How to find dead code in your Java services

Picnic Engineering

When building solutions, the code we write can last many years. While casually browsing legacy code we might wonder; is this still used? The missing documentation or outdated tests do not help us answer this. When asking around, nobody really knows. Let’s try to delete it, shall we? Then, chaos ensues: it turns out it is still used to support some legacy users, in case of emergency, or by that one forgotten integration everyone still uses.

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Using CockroachDB to Reduce Feature Store Costs by 75%

DoorDash Engineering

While building a feature store to handle the massive growth of our machine-learning (“ML”) platform, we learned that using a mix of different databases can yield significant gains in efficiency and operational simplicity. We saw that using Redis for our online machine-learning storage was not efficient from a maintenance and cost perspective.

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Use SurrealDB to Persist Data with Rocket REST API

Workfall

Reading Time: 8 minutes Databases are essential in web development for organizing data in various forms and shapes (both structured and unstructured). Their ultimate goal is for the stored data to be easily retrievable, updated, queried, and generally administered via a graphical user interface (GUI), dashboard, or even command line interface (CLI).

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Snowpark: Unified Tools and Infrastructure for SQL and Python

Snowflake

In Snowflake’s 6 Data Science Trends in 2023 , one of the more prominent trends we identified was the emerging use of unified tools and infrastructure for SQL and Python. According to a recent article by McKinsey , huge investments have been made in data science, AI, and machine learning (ML), driven by the promise of higher financial returns, more efficient processes, and greater overall business resilience.

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How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating