Analytics Vidhya

FEBRUARY 7, 2023

Introduction Data engineering is the field of study that deals with the design, construction, deployment, and maintenance of data processing systems. The goal of this domain is to collect, store, and process data efficiently and efficiently so that it can be used to support business decisions and power data-driven applications. This includes designing and implementing […] The post Most Essential 2023 Interview Questions on Data Engineering appeared first on Analytics Vidhya.

Data Engineer 240

Data Engineer Data Engineering Engineering Data 240

Confessions of a Data Guy

FEBRUARY 10, 2023

Hmm … data types. We all know they are important, but we don’t take them very seriously. I mean we know the difference between boolean, string, and integers, those are easy to get right. But we all get sloppy, sometimes we got the string and varchar route because we don’t spend enough time on the […] The post Data Types in Delta Lake + Spark.

Data 238

Data Big Data Data Engineer Data Engineering 238

KDnuggets

FEBRUARY 7, 2023

Kickstart your Data Engineering career with these curated GitHub repositories.

Data Engineer 160

Data Engineer Data Engineering Engineering Data 160

Data Engineering Podcast

FEBRUARY 5, 2023

Summary This podcast started almost exactly six years ago, and the technology landscape was much different than it is now. In that time there have been a number of generational shifts in how data engineering is done. In this episode I reflect on some of the major themes and take a brief look forward at some of the upcoming changes. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Your host is Tobias Macey and today I'm reflecting on the m

Data Engineer 147

Data Engineer Data Engineering Engineering PostgreSQL 147

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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.

Architecture

Analytics Vidhya

FEBRUARY 6, 2023

Introduction A design pattern is simply a repeatable solution for problems that keep on reoccurring. The pattern is not an actual code but a template that can be used to solve problems in different situations. Especially while working with databases, it is often considered a good practice to follow a design pattern. This ensures easy […] The post What are Data Access Object and Data Transfer Object in Python?

Accessibility 234

Accessibility Accessible Python Database 234

Confessions of a Data Guy

FEBRUARY 7, 2023

As I started to use Rust on and off, more out of curiosity than anything, I discovered some specs of gold buried down in the depths. Some of the things I’m going to talk about, well … all of it, is probably fairly obvious to most Rust folk, but it’s enjoyable to learn what new […] The post Ownership and Borrowing in Rust – Data Engineering Gold Mine. appeared first on Confessions of a Data Guy.

Data Engineer 221

Data Engineer Data Engineering Engineering Data 221

Engineering at Meta

FEBRUARY 6, 2023

Facebook for iOS (FBiOS) is the oldest mobile codebase at Meta. Since the app was rewritten in 2012 , it has been worked on by thousands of engineers and shipped to billions of users, and it can support hundreds of engineers iterating on it at a time. After years of iteration , the Facebook codebase does not resemble a typical iOS codebase: It’s full of C++, Objective-C(++), and Swift.

Architecture 145

Architecture Coding Engineering Systems 145

Analytics Vidhya

FEBRUARY 8, 2023

Introduction Amazon Redshift is a fully managed, petabyte-scale data warehousing Amazon Web Services (AWS). It allows users to easily set up, operate, and scale a data warehouse in the cloud. Redshift uses columnar storage techniques to store data efficiently and supports data warehousing workloads intelligence, reporting, and analytics. It allows users to perform complex queries […] The post Top 6 Amazon Redshift Interview Questions appeared first on Analytics Vidhya.

Amazon Web Services 221

Amazon Web Services AWS Data Warehouse Cloud 221

Confluent

FEBRUARY 8, 2023

Learn what windowing is, the difference between the four types of windows (hopping and tumbling, or session and sliding), and how to create them.

Kafka 140

Kafka 140

Edureka

FEBRUARY 8, 2023

We are introduced to new discoveries and technologies every day, and one of the best and most popular inventions today is artificial intelligence (AI) and its tools. One of them is Chat GPT, a conversational model of AI that is a powerful chatbot that answers follow-up questions and writes code for the users. The day it was launched, everybody was going gaga over the new technology and the remarkable uses of this AI-powered chatbot.

Coding 130

Coding Deep Learning Programming Java 130

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!

Data

Engineering at Meta

FEBRUARY 7, 2023

A lot has changed since the initial launch of our basemap in late 2020. We’re Meta now, but our mission remains the same: Giving people the power to build community and bring the world closer together. Across Meta, our family of applications (Facebook, Instagram, WhatsApp, among others) are using our basemap to connect people through functions like status updates, location sharing, and location-based searching.

Entertainment 143

Entertainment Transportation Data Schemas AWS 143

Analytics Vidhya

FEBRUARY 6, 2023

Introduction While working with multiple projects, there are chances of issues with versions of packages in python; for example, a project needs a new version of a package, and another requires a different version. Sometimes the python version itself changes from project to project. Managing these different python versions and different versions of packages is […] The post Isolated Python Environments using Docker appeared first on Analytics Vidhya.

Python 218

Python Project Management Data Engineer 218

Christophe Blefari

FEBRUARY 10, 2023

This is what the metrics store inspires me ( credits ) Dear Data News friend, every week there is a bit of randomness when this email will truly land in your mailbox—which, btw, breaks all the rules of newsletter writing. Yeah, you know, you have to get your readers used to a fixed schedule, which they can trust and bla, bla, bla. The good news is that at least with me you can trust that I have no schedule except that you should have the newsletter on Friday or Saturday.

Kafka 130

Kafka Data Python Data Pipeline 130

Waitingforcode

FEBRUARY 9, 2023

Compaction is also a feature present in Apache Iceberg. However, it works a little bit differently than for Delta Lake presented last time. Why? Let's see in this new blog post!

IT 130

IT 130

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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.

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KDnuggets

FEBRUARY 6, 2023

Walking you through the most important SQL and Python technical concepts and four interview questions to practice for the Data Analyst position.

SQL 127

SQL Python Data 127

Analytics Vidhya

FEBRUARY 6, 2023

Introduction The demand for data to feed machine learning models, data science research, and time-sensitive insights is higher than ever thus, processing the data becomes complex. To make these processes efficient, data pipelines are necessary. Data engineers specialize in building and maintaining these data pipelines that underpin the analytics ecosystem.

Amazon Web Services 218

Amazon Web Services Data Pipeline Machine Learning Data Science 218

DoorDash Engineering

FEBRUARY 7, 2023

It would be almost impossible to build a scalable backend without a scalable datastore. DoorDash’s expansion from food delivery into new verticals like convenience and grocery introduced a number of new business challenges that would need to be supported by our technical stack. This business expansion not only increased the number of integrated merchants dramatically but also exponentially increased the number of menu items, as stores have much larger and more complicated inventories than typica

PostgreSQL 119

PostgreSQL SQL Retail Database 119

Teradata

FEBRUARY 9, 2023

In the aftermath of the 2008 financial crash, service providers have been subject to increasing rules & requirements. To what extent has this climate held back advances in data analytics?

Data Analytics 116

Data Analytics Data 116

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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?

Business Intelligence

KDnuggets

FEBRUARY 6, 2023

KDnuggets and its partners have just released a Spend & Trends survey to provide you the opportunity to benchmark with your peers on how folks are spending and the mindsets around current trends.

IT 116

IT 116

Analytics Vidhya

FEBRUARY 8, 2023

source: svitla.com Introduction Before jumping to the data warehouse interview questions, let’s first understand the overview of a data warehouse. A data warehouse is a system used for collecting and managing large amounts of data from various sources, such as transactional systems, log files, and external data sources. The data is then organized and structured […] The post Data Warehouse Interview Questions appeared first on Analytics Vidhya.

Data Warehouse 214

Data Warehouse Data Systems Management 214

ArcGIS

FEBRUARY 8, 2023

How to make your maps look like storybook illustrations.because storybook illustrations!

Education 105

Education 105

databricks

FEBRUARY 6, 2023

Advances in Natural Language Processing (NLP) have unlocked unprecedented opportunities for businesses to get value out of their text data. Natural Language Processing.

Process 105

Process Data Data Science Engineering 105

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.

Data

KDnuggets

FEBRUARY 10, 2023

This article attempts to measure the effect of various noises present in scanned documents on the performance of various APIs in the OCR segment.

Process 108

Process 108

Analytics Vidhya

FEBRUARY 5, 2023

Introduction In this technical era, Big Data is proven as revolutionary as it is growing unexpectedly. According to the survey reports, around 90% of the present data was generated only in the past two years. Big data is nothing but the vast volume of datasets measured in terabytes or petabytes or even more. Big data […] The post A Beginner’s Guide to the Basics of Big Data and Hadoop appeared first on Analytics Vidhya.

Hadoop 205

Hadoop Big Data Datasets Data 205

Picnic Engineering

FEBRUARY 8, 2023

Delivering the right events at low latency and with a high volume is critical to Picnic’s system architecture. In our previous blog, Dima Kalashnikov explained how we configure our Internal services pipeline in the Analytics Platform. In this post, we will explain how our team automates the creation of new data pipeline deployments. The step towards automation was an important improvement for us, as the previous setup was manual, slow, and error-prone.

Data Pipeline 105

Data Pipeline Kafka Data Architecture 105

databricks

FEBRUARY 7, 2023

Today, we're excited to announce that Databricks has expanded Brickbuilder Solutions by collaborating with key partners in Europe, the Middle East, and Africa.

105

105

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.

Manufacturing

KDnuggets

FEBRUARY 10, 2023

Utilize these plotting functions to improve your visualization game.

Utilities 108

Utilities Data Science Data 108

Analytics Vidhya

FEBRUARY 8, 2023

Introduction The February installment of the webinar series is now open! It’s a farewell time to your quest for finding the ideal data science learning platform, as Analytics Vidhya has arrived. Explore your ultimate data science destination where the emphasis is on supporting the community and fostering professional development. Attend expert-led DataHour sessions to boost […] The post February DataHour: Enhance Your Skills with Expert Sessions appeared first on Analytics Vidhya.

Data Science 200

Data Science Data Machine Learning Data Engineer 200

ThoughtSpot

FEBRUARY 9, 2023

Two years ago, we announced our Databricks partnership —including the launch of ThoughtSpot for Databricks, which gives joint customers the ability to run ThoughtSpot search queries directly on the Databricks Lakehouse without the need to move any data. Since then, we’ve empowered teams at companies like Johnson & Johnson, NASDAQ, and Flyr to safely self-serve business-critical insights on governed and reliable data.

Government 105

Government SQL Machine Learning Cloud 105

Confluent

FEBRUARY 7, 2023

Migrate Kafka clusters from ZooKeeper to KRaft with no downtime (early access), get improvements for Kafka Streams and Kafka Connect, and more.

Kafka 105

Kafka Accessibility Accessible 105

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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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