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.
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.
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.
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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Whether you’re creating complex dashboards or fine-tuning large language models, your data must be extracted, transformed, and loaded. ETL and ELT pipelines form the foundation of any data product, and Airflow is the open-source data orchestrator specifically designed for moving and transforming data in ETL and ELT pipelines. This eBook covers: An overview of ETL vs.
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.
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.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
Data Engineering Podcast
FEBRUARY 26, 2023
Summary There has been a lot of discussion about the practical application of data mesh and how to implement it in an organization. Jean-Georges Perrin was tasked with designing a new data platform implementation at PayPal and wound up building a data mesh. In this episode he shares that journey and the combination of technical and organizational challenges that he encountered in the process.
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 in yesterday's subscriber-only The Scoop issue. To get full newsletters twice a week, subscribe here. On 22 February 2023, Google announced its coding competitions are coming to an end: The visual that accompanied the announcement of the end of Google’s coding competitions.
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?
KDnuggets
MARCH 2, 2023
Learn Data Science in 2023 for FREE with these online courses.
Speaker: Tamara Fingerlin, Developer Advocate
In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!
Rockset
MARCH 1, 2023
Every database built for real-time analytics has a fundamental limitation. When you deconstruct the core database architecture, deep in the heart of it you will find a single component that is performing two distinct competing functions: real-time data ingestion and query serving. These two parts running on the same compute unit is what makes the database real-time: queries can reflect the effect of the new data that was just ingested.
Confessions of a Data Guy
MARCH 2, 2023
The post What is a Data Mesh? appeared first on Confessions of a Data Guy.
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.
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.
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Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.
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.
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.
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.
KDnuggets
FEBRUARY 27, 2023
5 SQL Visualization Tools for Data Engineers • Free TensorFlow 2.
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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?
Snowflake
MARCH 2, 2023
Snowflake enables organizations to be data-driven by offering an expansive set of features for creating performant, scalable, and reliable data pipelines that feed dashboards, machine learning models, and applications. But before data can be transformed and served or shared, it must be ingested from source systems. The volume of data generated in real time from application databases, sensors, and mobile devices continues to grow exponentially.
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.
Analytics Vidhya
MARCH 1, 2023
Introduction Cassandra is an Apache-developed free and open-source distributed NoSQL database management system. It manages huge volumes of data across many commodity servers, ensures fault tolerance with the swift transfer of data, and provides high availability with no single point of failure. Java-written Apache Cassandra is highly scalable for Big Data models and comprises flexible […] The post Top 5 Interview Questions on Cassandra appeared first on Analytics Vidhya.
KDnuggets
FEBRUARY 28, 2023
A gentle introduction of Plots.jl, Gadfly.jl, and VegaLite with code examples.
Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali
As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.
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
ArcGIS
FEBRUARY 27, 2023
In ArcGIS Pro 3.1, you can use the Append tool to upsert (update and insert) a target dataset with data from a new or updated dataset.
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.
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.
Speaker: Nikhil Joshi, Founder & President of Snic Solutions
Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.
databricks
MARCH 1, 2023
Spark Structured Streaming is the widely-used open source engine at the foundation of data streaming on the Databricks Lakehouse Platform. It can elegantly.
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.
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.
KDnuggets
MARCH 1, 2023
Learn how to optimize the queries written in SQL to make them execute faster and more memory efficient.
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Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.
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