Confessions of a Data Guy

FEBRUARY 26, 2023

Save money, save money!! Hear Hear! Someone on Linkedin recently brought up the point that companies could save gobs of money by swapping out AWS Python lambdas for Rust ones. While it raised the ire of many a Python Data Engineer, I thought it sounded like a great idea. At least it’s an excuse to […] The post AWS Lambdas – Python vs Rust.

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AWS Python Data Engineering Data Engineer 356

Analytics Vidhya

FEBRUARY 28, 2023

Introduction Azure Databricks is a fast, easy, and collaborative Apache Spark-based analytics platform that is built on top of the Microsoft Azure cloud. A collaborative and interactive workspace allows users to perform big data processing and machine learning tasks easily. In this blog post, we will take a closer look at Azure Databricks, its key features, […] The post Azure Databricks: A Comprehensive Guide appeared first on Analytics Vidhya.

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Big Data Machine Learning Cloud Data Process 310

Simon Späti

FEBRUARY 25, 2023

As I sit down to write this article, I’m filled with a sense of vulnerability and excitement. You see, this is a story that only I can tell. It’s a tale of finding my Pathless Path and discovering who I am in the process. I have learned that some of my best decision-making comes from following my gut, heart, and intuition, a place of inner knowing.

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Process IT 289

Christophe Blefari

MARCH 1, 2023

This article is meant to be a resource hub in order to understand dbt basics and to help get started your dbt journey. When I write dbt, I often mean dbt Core. dbt Core is an open-source framework that helps you organise data warehouse SQL transformation. dbt Core has been developed by dbt Labs, which was previously named Fishtown Analytics. The company has been founded in May 2016. dbt Labs also develop dbt Cloud which is a cloud product that hosts and runs dbt Core projects.

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Data Warehouse SQL Metadata Raw Data 278

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

Management

The Pragmatic Engineer

MARCH 3, 2023

👋 Hi, this is Gergely with a bonus, free issue of the Pragmatic Engineer Newsletter. We cover one out of five topics from The Scoop #39 , published two weeks ago, 23 February. To get full newsletters twice a week, subscribe here. I have collaborated with a tech recruiter - they’ve asked to be anonymous - who’s been running some very interesting queries on LinkedIn for software engineers.

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Recruitment Software Engineer Software Engineering Finance 193

Analytics Vidhya

FEBRUARY 28, 2023

Introduction Data science has taken over all economic sectors in recent times. To achieve maximum efficiency, every company strives to use various data at every stage of its operations. Each aspect of data science, like data preparation, the importance of big data, and the process of automation, contributes to how data science is the future […] The post 30 Best Data Science Books to Read in 2023 appeared first on Analytics Vidhya.

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Data Science Data Preparation Big Data Data 285

Waitingforcode

MARCH 1, 2023

Data can have various quality issues, from missing to badly formatted values. However, there is another issue less people talk about, the erroneous filtering logic.

Data 130

Data 130

KDnuggets

MARCH 2, 2023

The latest KDnuggets cheat sheet covers using ChatGPT to your advantage as a data scientist. It's time to master prompt engineering, and here is a handy reference for helping you along the way.

Data Science 160

Data Science Data Engineering IT 160

Analytics Vidhya

FEBRUARY 27, 2023

Introduction Data is the new oil in this century. The database is the major element of a data science project. To generate actionable insights, the database must be centralized and organized efficiently. If a corrupted, unorganized, or redundant database is used, the results of the analysis may become inconsistent and highly misleading. So, we are […] The post How to Normalize Relational Databases With SQL Code?

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Relational Database Database SQL Coding 255

Cloudera

MARCH 2, 2023

Recently, we announced enhanced multi-function analytics support in Cloudera Data Platform (CDP) with Apache Iceberg. Iceberg is a high-performance open table format for huge analytic data sets. It allows multiple data processing engines, such as Flink, NiFi, Spark, Hive, and Impala to access and analyze data in simple, familiar SQL tables. In this blog post, we are going to share with you how Cloudera Stream Processing ( CSP ) is integrated with Apache Iceberg and how you can use the SQL Stream

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Process SQL Kafka Database 115

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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

Data

databricks

FEBRUARY 27, 2023

Ray is a prominent compute framework for running scalable AI and Python workloads, offering a variety of distributed machine learning tools, large-scale hyperparameter.

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Machine Learning Python Engineering 117

KDnuggets

FEBRUARY 27, 2023

In this tutorial, we will learn to Initiates the Spark session, load, and process the data, perform data analysis, and train a machine learning model.

Data Science 159

Data Science Machine Learning Data Analysis Data 159

Analytics Vidhya

FEBRUARY 27, 2023

Introduction The Hadoop Distributed File System (HDFS) is a Java-based file system that is Distributed, Scalable, and Portable. Due to its lack of POSIX conformance, some believe it to be data storage instead. Still, it does include shell commands and Java Application Programming Interface (API) functions that are similar to other file systems. HDFS and […] The post Top 10 Hadoop Interview Questions You Must Know appeared first on Analytics Vidhya.

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Hadoop Java Data Storage Programming 233

Confessions of a Data Guy

MARCH 2, 2023

The post What is a Data Mesh? appeared first on Confessions of a Data Guy.

Data 130

Data Big Data Data Engineering Data Engineer 130

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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

Database

U-Next

MARCH 1, 2023

An empowered, enthusiastic, ambitious visionary who mastered the art of perfectly taking care of her toddler and successfully operating on data, Jolly Masih is an Associate Professor at the prestigious Symbiosis University of Applied Sciences. As driven and focused as she was, to not let the essential health break affect her career path, Jolly was a whole 9-month pregnant when she gave her interview for the IPBA course.

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R (Programming) Business Analyst Python Programming 98

KDnuggets

FEBRUARY 28, 2023

Are you a data analyst newbie looking to boost your resume to land your first job? If yes, then up your game as a beginner with these 5 projects that you can’t afford to miss.

Data Analysis 113

Data Analysis Project Data Data Science 113

Analytics Vidhya

FEBRUARY 28, 2023

Introduction One of the most important assets of any organization is the data it produces on a daily basis. This data is used by an organization to find valuable insights which help in improving an organization’s growth and strategies and give them an upper hand over its competitors. This article explains to you the idea […] The post Understanding Dimensional Modeling appeared first on Analytics Vidhya.

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Data Warehouse Data IT Database 229

Confluent

FEBRUARY 27, 2023

Learn the what, how, and why for multi-geo replication. In this post, we’ll share the best tools, practices, and patterns for planning geo-replicated Kafka deployments.

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Kafka 98

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

Data Science

U-Next

FEBRUARY 26, 2023

Introduction Data Science is revolutionizing the business world, and it has opened up unique opportunities for businesses to grow. Businesses are now looking for Data Scientists to help them make a difference in their company’s performance and reach even further. Data Science companies started to emerge due to this need for new people who can help businesses solve problems through data analytics.

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Data Science Machine Learning Consulting Food 98

KDnuggets

MARCH 1, 2023

Essential A/B Testing Course for Data Science • The Importance of Probability in Data Science • 5 Statistical Paradoxes Data Scientists Should Know • Free TensorFlow 2.

Data Science 108

Data Science Data 108

Analytics Vidhya

FEBRUARY 28, 2023

Introduction Structured Query Language is a powerful language to manage and manipulate data stored in databases. SQL is widely used in the field of data science and is considered an essential skill to have if you work with data. After being introduced in the 70s, it has become the standard querying language for relational databases. […] The post Step-by-Step Roadmap to Learn SQL in 2023 appeared first on Analytics Vidhya.

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SQL Relational Database Data Science Database 223

The Modern Data Company

FEBRUARY 28, 2023

Not Getting Value from Your Data Transformation? Fix it Download (PDF) The post 3 Things Retailers Need to Consider in Data Transformation appeared first on TheModernDataCompany.

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Retail Data IT 93

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

Certification

U-Next

FEBRUARY 27, 2023

Introduction Confidence interval calculations give adequate data about the projected value and a defined margin of error. While statistics are a critical component of your business, it may be challenging to keep up with everything that goes on with these computations. To develop an error-free environment, you should have a bird-eye for reliable software tools and conceptual expertise.

Data Analysis 98

Data Analysis Utilities Programming Project 98

KDnuggets

FEBRUARY 27, 2023

This article outlines the advantages of CatBoost as a GBDTs for interpreting data sources that are highly categorical or contain missing data points.

IT 111

IT Data Machine Learning 111

Analytics Vidhya

MARCH 2, 2023

Introduction Data normalization is the process of building a database according to what is known as a canonical form, where the final product is a relational database with no data redundancy. More specifically, normalization involves organizing data according to attributes assigned as part of a larger data model. The main goals of database normalization are […] The post Understanding the Basics of Database Normalization appeared first on Analytics Vidhya.

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Database Relational Database Building Process 221

Confessions of a Data Guy

MARCH 1, 2023

The post GitHub’s CoPilot Writes Data Pipelines appeared first on Confessions of a Data Guy.

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Data Pipeline Data 100

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Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

Data Analysis

U-Next

FEBRUARY 28, 2023

What is the Role of Artificial Intelligence & Machine Learning in Program Management? Artificial Intelligence (AI) and machine learning (ML) are rapidly becoming essential tools for businesses and organizations of all types. These technologies have the potential to revolutionize program management, helping teams to work more efficiently, make better decisions, and achieve their goals.

Machine Learning 98

Machine Learning Programming Management Technology 98

KDnuggets

MARCH 2, 2023

Learn Data Science in 2023 for FREE with these online courses.

Data Science 160

Data Science Data 160

Analytics Vidhya

FEBRUARY 27, 2023

Introduction Enterprises here and now catalyze vast quantities of data, which can be a high-end source of business intelligence and insight when used appropriately. Delta Lake allows businesses to access and break new data down in real time. Delta Lake is an open-source warehouse layer designed to run on top of data lakes analogous to […] The post A Comprehensive Guide on Delta Lake appeared first on Analytics Vidhya.

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Data Lake Business Intelligence Designing Accessible 215

LinkedIn Engineering

MARCH 2, 2023

Based in Silicon Valley, Priya serves on LinkedIn Engineering’s Technical Program Management (TPM) team, supporting our large-scale, AI and Knowledge Graph programs. A mom of two and co-founder of a dance nonprofit, she spotlights for us the TPM specialty at LinkedIn, her transition from product manager to TPM, the transition from contractor to full-time, and the power of soft skills.

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Programming Management Electronics Consulting 90

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“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

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