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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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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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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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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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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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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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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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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Automated Machine Learning with Python: A Comparison of Different Approaches

KDnuggets

These four automated machine learning tools will help you build ML models quickly for your Data Science projects.

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Snowflake worldwide tables on Cloudflare R2

Medium Data Engineering

When replicating data to multiple regions, egress costs can be pretty significant.

Data 98
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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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Data Engineering?—?Part II (Applications, Use-cases and Examples)

Medium Data Engineering

In our previous segment on data engineering, we discussed the crucial role that data engineers play in managing, organizing, and analyzing… Continue reading on Medium »

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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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The Importance of Data Structures and Algorithms for Data Engineers”

Medium Data Engineering

Data Engineering is one of the fastest growing jobs these days, and there are plenty of people who want to become data engineers, but some… Continue reading on Towards Data Engineering »

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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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Choosing the right Naming Convention for Audit Columns in Database Design

Medium Data Engineering

In the world of database design, ensuring data integrity and maintaining a historical record of changes is crucial for many applications… Continue reading on Medium »

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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.

Data 52
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Exploring the Splunk?—?Part 1.

Medium Data Engineering

Splunk used to track, scan, analyze, and visualize the machine generated data (web applications, sensors, devices or any data created by… Continue reading on Medium »

Data 52
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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.

Data 59
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Apache Airflow:basics of DAG scheduling in Apache Airflow

Medium Data Engineering

The scheduler is responsible for determining which tasks can be executed at any given time, based on their dependencies and the… Continue reading on Medium »

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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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RDD, Dataframes and Datasets in Apache Spark

Medium Data Engineering

Help yourself making good choice between RDD, Dataframe and Datasets by leaning about these Spark APIs Continue reading on Medium »

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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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De los datos a las decisiones: construyendo un motor decisional de crédito en MACH.

Medium Data Engineering

A comienzos del año pasado se propuso crear una solución de financiamiento, para los usuarios de MACH [… ].

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Essential SQL Commands for Data Management and Manipulation: A Comprehensive Guide to Database…

Medium Data Engineering

Structured Query Language (SQL) is a programming language used to manage and manipulate data stored in relational databases.

SQL 52
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My 3 Favorite Ways to Manage dbt

Medium Data Engineering

There are lots of ways to manage and run dbt. This article details my favorite ways to manage and run dbt environments.

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Why You Shouldn’t Use Kafka as a Data Lake, and What To Do Instead

Medium Data Engineering

How do you design your data architecture such that both real-time and historical data are available when and as needed?

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Nosso Hello World com dados

Medium Data Engineering

A área de dados é uma das que vem apresentando maior crescimento e demanda no mercado de desenvolvimento.

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PySpark Aggregate Window Functions: A Comprehensive Guide

Medium Data Engineering

Window Functions and Aggregations in PySpark: A Tutorial with Sample Code and Data Continue reading on Medium »

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PySpark?—?Estimate Partition Count for File Read

Medium Data Engineering

Understand how Spark estimates the number of Partitions required to read a file Continue reading on Medium »

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Exploring Splunk?—?The Search.

Medium Data Engineering

Previous Topic: Exploring Splunk — Data Ingestion Continue reading on Medium »

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Column-Level Security in Databricks

Medium Data Engineering

Have you ever dealt with PII data when building your data pipelines? Then this article is for you.

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How We Improved Our EMR Performance and Reduced Data Processing Cost By 50%

Medium Data Engineering

Businesses across industries leverage big data to make data-driven decisions, identify new opportunities, and improve overall performance… Continue reading on Medium »