Workfall

JULY 25, 2023

Reading Time: 9 minutes Tired of manual data entry in Google Spreadsheets? Discover a simple and efficient way to automate your data handling using Python and Sheety API. Say goodbye to time-consuming tasks and hello to streamlined data integration – let’s get started! In this blog, we will cover: What Is Sheety API?

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Python Programming Language Coding Accessible 76

Towards Data Science

MAY 19, 2023

Data Entropy — More Data, More Problems? How to navigate and embrace complexity in a modern data organisation. Webster’s dictionary defines Entropy in thermodynamics as a measure of the unavailable energy in a closed thermodynamic system that is also usually considered to be a measure of the system’s disorder.

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Pipeline-centric Data Software Engineer Software Engineering 105

Towards Data Science

JANUARY 7, 2024

Streamline Data Pipelines: How to Use WhyLogs with PySpark for Effective Data Profiling and Validation Photo by Evan Dennis on Unsplash Data pipelines, made by data engineers or machine learning engineers, do more than just prepare data for reports or training models. It lets you log all sorts of data.

Data Pipeline 81

Data Pipeline Hospitality Data Validation Datasets 81

dbt Developer Hub

JANUARY 8, 2024

Luckily, dbt’s defer functionality allow you to only build what you care about when you need it, and nothing more. helps developers spend less time and money in development, helping ship trusted data products faster. helps developers spend less time and money in development, helping ship trusted data products faster.

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Coding Metadata Cloud Healthcare 59

DataKitchen

AUGUST 3, 2021

The data mesh design pattern breaks giant, monolithic enterprise data architectures into subsystems or domains, each managed by a dedicated team. DataOps helps the data mesh deliver greater business agility by enabling decentralized domains to work in concert. . But first, let’s define the data mesh design pattern.

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Pharmaceutical Data Lake Data Architecture Scala 98

ProjectPro

FEBRUARY 16, 2022

Given this technology's great potential for future success, in this blog, let’s look at the concept of OCR, its challenges, and with a detailed analysis of the famous OCR tool - Tesseract. With a tremendous increase in digitization in this 21st century, a.k.a Information age, OCR Python applications are witnessing huge demand.

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Python Banking Data Science Transportation 52

Databand.ai

JULY 3, 2023

What is Data Reliability and How Observability Can Help Helen Soloveichik July 3, 2023 What is data reliability? Data reliability looks at the completeness and accuracy of data, as well as its consistency across time and sources. Data reliability is one element of data quality. Is it complete?

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Data Validation Data Collection Data Machine Learning 52

Cloudera

NOVEMBER 3, 2021

Have you ever asked a data scientist if they wanted their code to run faster? According to a poll in Kaggle’s State of Machine Learning and Data Science 2020 , A Convolutional Neural Network was the most popular deep learning algorithm used amongst polled individuals, but it was not even in the top 3.

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Deep Learning Data Science Machine Learning Python 117

phData: Data Engineering

DECEMBER 16, 2021

Your business might be moving to the cloud, just completed, or have been established with it for a little while, and you are likely wondering, “what data catalog tool is best for me?” How to set goals for your data catalog How to establish business drivers for your data catalog What value does a data catalog provide your business?

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Metadata Datasets Data Accessible 52

Edureka

JANUARY 18, 2024

This guide provides a comprehensive understanding of the essential skills and knowledge required to become a successful data scientist, covering data manipulation, programming, mathematics, big data, deep learning, and machine learning technologies. Table of Contents Introduction to Data Science What is Data Science?

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Data Science Deep Learning NoSQL Machine Learning 40

AltexSoft

AUGUST 25, 2021

Keep reading to learn: What problems NLP can help solve. Specifics of data used in NLP. And finally, what stands in the way of NLP adoption and how to overcome it. What is Natural Language Processing? So, what is possible with NLP? Humans have been trying to make machines chat for decades. Sentiment analysis.

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Process Deep Learning Datasets Machine Learning 139

Dataquest

JANUARY 10, 2018

In previous blog posts , we have described the Postgres database and ways to interact with it using Python. To understand what efficiency means in Postgres, it’s important to learn how Postgres works under the hood. Like our previous blog posts, we will be using the following tools: A local version of Postgres (v9.2

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Building PostgreSQL Database Python 52

Lyft Engineering

MARCH 12, 2024

That’s why we want to share how we went about it and what worked for us. Compared to supervised learning, RL does not require a fully labeled data-set for training. Those models have been critical for decision making problems that other techniques such as supervised learning or optimization models struggled with.

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Algorithm Machine Learning Datasets Food 66

Tweag

NOVEMBER 9, 2022

But one could imagine another way: what if we could learn those strategies? But one could imagine another way: what if we could learn those strategies? open-games-hs is a Haskell library and DSL for defining, operating, and analyzing certain kinds of game-theoretic games. For some games, encoding strategies in Haskell is fairly simple.

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Algorithm Python Utilities Coding 40

Cloudera

JANUARY 30, 2019

It’s official – Cloudera and Hortonworks have merged , and today I’m excited to announce the availability of Cloudera Data Science Workbench (CDSW) for Hortonworks Data Platform (HDP). Trusted by large data science teams across hundreds of enterprises —. What is CDSW? Sound familiar?

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Data Science Machine Learning Scala Government 74

Knowledge Hut

OCTOBER 13, 2023

” Reports and dashboards are the two vital components of the Power BI platform, which are used to analyze and visualize data. Maintain Clean Reports Power BI report is a detailed summary of the large data set as per the criteria given by the user. They comprise tables, data sets, and data fields in detail, i.e., raw data.

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BI Business Analyst Datasets Raw Data 52

Confluent

FEBRUARY 6, 2019

The blog posts How to Build and Deploy Scalable Machine Learning in Production with Apache Kafka and Using Apache Kafka to Drive Cutting-Edge Machine Learning describe the benefits of leveraging the Apache Kafka ® ecosystem as a central, scalable and mission-critical nervous system.

Machine Learning 107

Machine Learning Python Kafka Java 107

Monte Carlo

APRIL 20, 2023

Data lineage is a visual diagram showing how data flows through your ETL pipeline from ingestion to consumption. Solutions with automated data lineage capabilities constantly update these graphs and illustrate them as nodes and edges, or in other words, the objects through which the data travels and the relationship between them.

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Data Warehouse BI Government Data 52

Rockset

DECEMBER 19, 2023

This blog post distills his decade of experience into a comprehensive read, offering a detailed overview of the complexities and innovations at every stage of building a real-world recommender system. Stage 2: Ranking - We rank these candidates using some heuristic to pick the top 10 to 50 items.

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Systems Machine Learning Deep Learning Media 52

DataKitchen

JANUARY 23, 2023

What is data lineage? Data lineage traces data’s origin, history, and movement through various processing, storage, and analysis stages. It is used to understand the provenance of data and how it is transformed and to identify potential errors or issues. What about DataOps Observability?

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Data Governance Government Data Pipeline Data 52

Tweag

DECEMBER 21, 2022

For the past few months, Krzysztof Gogolewski and I have had the opportunity to work with Mercury to identify what some of those improvements might be, and I am pleased to report that our first major patch toward that end will be part of GHC 9.6. As of version 9.6, As of version 9.6,

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Coding Architecture Programming Designing 71

ProjectPro

JULY 27, 2021

This blog is your one-stop solution for the top 100+ Data Engineer Interview Questions and Answers. In this blog, we have collated the frequently asked data engineer interview questions based on tools and technologies that are highly useful for a data engineer in the Big Data industry.

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Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

NOVEMBER 22, 2021

According to the Businesswire report , the worldwide big data as a service market is estimated to grow at a CAGR of 36.9% This clearly indicates that the need for Big Data Engineers and Specialists would surge in the future years. Apart from this, Runtastic also relies upon PySpark for their Big Data sanity checks.

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Hadoop Python Datasets Metadata 52

Rockset

AUGUST 12, 2019

Real-time analytics is used by many organizations to support mission-critical decisions on real-time data. The real-time journey typically starts with live dashboards on real-time data and soon moves to automating actions on that data with applications like instant personalization, gaming leaderboards and smart IoT systems.

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NoSQL AWS SQL Datasets 40

ProjectPro

FEBRUARY 11, 2021

And yes, we’re talking to you - the person who’s reading this because they’re probably wondering what is a machine learning engineer, what does a machine learning engineer do, how to become a machine learning engineer , and, more importantly, whether they can pull it off. A true machine learning engineer is a unicorn.

Machine Learning 40

Machine Learning Engineering Programming Language Portfolio 40

Cloudera

DECEMBER 12, 2018

I would like to start off by asking you to tell us about your background and what kicked off your 20-year career in relational database technology? After having rebuilt their data warehouse, I decided to take a little bit more of a pointed role, and I joined Oracle as a database performance engineer. Michael Moreno: Nice!

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Data Warehouse Relational Database Hadoop BI 42

ProjectPro

JUNE 29, 2021

This blog brings you the most popular Kafka interview questions and answers divided into various categories such as Apache Kafka interview questions for beginners, Advanced Kafka interview questions/Apache Kafka interview questions for experienced, Apache Kafka Zookeeper interview questions, etc. What is Kafka used for?

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Kafka Bytes Big Data Java 40

AltexSoft

JUNE 9, 2023

So, the results we share here are just what we’ve found out so far. Statistical language models leverage data patterns to make predictions about word sequences. There’s no denying it: ChatGPT , OpenAI’s groundbreaking AI, is the talk of the tech world.

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