Knowledge Hut

SEPTEMBER 29, 2023

In the below blog, we are going to read more about some of these AWS Solution Architect projects. It has built-in algorithms that don't require label information. Results and suggestions will be accurate thanks to AWS and closest neighbor algorithms. It also covers applications such as Big Data Analysis and IoT solutions.

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AWS Project Coding Cloud Computing 52

Knowledge Hut

SEPTEMBER 6, 2023

Data Analysis : Strong data analysis skills will help you define ways and strategies to transform data and extract useful insights from the data set. Big Data Frameworks : Familiarity with popular Big Data frameworks such as Hadoop, Apache Spark, Apache Flink, or Kafka are the tools used for data processing.

Big Data 52

Big Data Certification Hadoop Scala 52

Databand.ai

JUNE 8, 2023

Observability in Your Data Pipeline: A Practical Guide Eitan Chazbani June 8, 2023 Achieving observability for data pipelines means that data engineers can monitor, analyze, and comprehend their data pipeline’s behavior. Data analysis: Examining stored information using analytics and visualization tools.

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Data Pipeline Bytes Raw Data Data Collection 52

Data Engineering Weekly

AUGUST 13, 2023

Meta writes about mult—stage ranking approach with several well-defined stages, each focusing on different objectives and algorithms. link] Sponsored: Great Data Debate–The State of Data Mesh Since 2019, the data mesh has woven itself into every blog post, event presentation, and webinar.

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Data Engineering Data Engineer Engineering Food 52

ProjectPro

JULY 21, 2021

In this blog, explore a diverse list of interesting NLP projects ideas, from simple NLP projects for beginners to advanced NLP projects for professionals that will help master NLP skills. Good knowledge of commonly used machine learning and deep learning algorithms. Hands-on experience with cloud-based platforms such AWS, Azure.

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Coding Project Deep Learning Algorithm 52

ProjectPro

FEBRUARY 11, 2021

Table of Contents How to Become a Machine Learning Engineer in 2023? 2023 Update) Machine Learning Engineer – The Hype is Real 2) What is a machine learning engineer? How to Become a Machine Learning Engineer in 2023? 2023 Update) Before you change careers, it is important to consider the path ahead.

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Machine Learning Engineering Programming Language Portfolio 40

ProjectPro

SEPTEMBER 26, 2021

Big Data Engineer is one of the most popular job profiles in the data industry. Read this blog to find out! This blog on Big Data Engineer salary gives you a clear picture of the salary range according to skills, countries, industries, job titles, etc. Big Data gets over 1.2 Is it actually worth pursuing?

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Big Data Data Engineering Data Engineer Engineering 52

ProjectPro

JUNE 18, 2021

These are the most common questions that our ProjectAdvisors get asked a lot from beginners getting started with a data science career. This blog aims to answer all questions on how Java vs Python compare for data science and which should be the programming language of your choice for doing data science in 2021.

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Java Data Science Python Programming Language 52

ProjectPro

JULY 23, 2021

AWS (Amazon Web Services) is the world’s leading and widely used cloud platform, with over 200 fully featured services available from data centers worldwide. This blog presents some of the most unique and innovative AWS projects from beginner to advanced levels. Real-time Data Processing Application 7.

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AWS Project Amazon Web Services Cloud Computing 52

ProjectPro

JULY 12, 2021

Companies are actively seeking talent in these areas, and there is a huge market for individuals who can manipulate data, work with large databases and build machine learning algorithms. While data science is the most hyped-up career path in the data industry, it certainly isn't the only one. What does an AI Engineer do?

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Engineering Deep Learning Software Engineer Software Engineering 40

Knowledge Hut

NOVEMBER 28, 2023

In this article, we will look at 31 different places to find free datasets for data science projects. We will discuss the different types of datasets in data science which cover disciplines like data visualization, data processing, machine learning, data cleaning, exploratory data analysis, natural language processing, and computer vision.

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Datasets Data Science Project Banking 96

ProjectPro

MAY 20, 2015

There are several big data and business analytics companies that offer a novel kind of big data innovation through unprecedented personalization and efficiency at scale. Which big data analytic companies are believed to have the biggest potential? “It’s not a “butt in seat” culture.

Big Data 40

Big Data Hadoop Business Analyst Unstructured Data 40

Towards Data Science

SEPTEMBER 5, 2023

Lessons learned from designing a cost-effective containerized data processing solution on Azure Written by: Johannes Schmidt As a small team of data engineers and data scientists , we often work on projects that involve designing and implementing data processing solutions for various customers.

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Algorithm Architecture Python Designing 63

Rockset

MARCH 18, 2024

That’s because successfully deploying an AI application requires retrieval augmented generation or “RAG” pipelines, processing real-time data streams, chunking data, generating embeddings, storing embeddings and running vector search. LLMs like ChatGPT are trained on vast amounts of text data available up to a cutoff date.

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Cloud Building Metadata Kafka 64

Towards Data Science

SEPTEMBER 8, 2023

Lessons learned from designing a cost-effective containerized data processing solution on Azure As a small team of data engineers and data scientists , we often work on projects that involve designing and implementing data processing solutions for various customers.

Algorithm 52

Algorithm Architecture Python Designing 52

Pinterest Engineering

NOVEMBER 28, 2023

Pinterest’s real-time metrics asynchronous data processing pipeline, powering Pinterest’s time series database Goku, stood at the crossroads of opportunity. The mission was clear: identify bottlenecks, innovate relentlessly, and propel our real-time analytics processing capabilities into an era of unparalleled efficiency.

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Kafka Bytes Architecture Utilities 81

U-Next

MARCH 1, 2023

The more multinational firms, such as Google, Facebook, IBM, and Amazon, embrace Artificial Intelligence, the demand and salaries for AI experts will skyrocket in 2023 and the coming decades.

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Machine Learning Recruitment Deep Learning Medical 94

Databand.ai

AUGUST 30, 2023

Unified DataOps: Components, Challenges, and How to Get Started Joseph Arnold August 30, 2023 What Is Unified DataOps? Unified DataOps represents a fresh approach to managing and synchronizing data operations across several domains, including data engineering, data science, DevOps, and analytics.

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Data Governance Data Cleanse Government Data Pipeline 40

Knowledge Hut

FEBRUARY 7, 2023

Once upon a time, Data Science was something that was restricted only to the tech giants, but in this fast-growing world, it is slowly becoming an integral part of businesses as big companies start to integrate these techniques into their business models. We can divide the types of Data Science Platforms into 3 parts. They are: 1.

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Data Science Google Cloud Programming Language AWS 52

Knowledge Hut

NOVEMBER 17, 2023

After the introduction of cloud computing, the need for managing expanding data is getting more critical. But running complex algorithms on personal machines is getting challenging due to memory and computing constraints. People started leveraging the cloud's power to run complex algorithms to solve these challenges.

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AWS Data Science Certification Amazon Web Services 52

ProjectPro

OCTOBER 20, 2021

If you are unsure, be vocal about your thought process and the way you are thinking – take inspiration from the examples below and explain the answer to the interviewer through your learnings and experiences from data science and machine learning projects. Alright, we have had enough fun building up to this moment.

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Machine Learning Algorithm Government Data Science 52

ProjectPro

NOVEMBER 22, 2021

Broadcast variables in PySpark are read-only shared variables that are stored and accessible on all nodes in a cluster so that processes may access or use them. Instead of sending this information with each job, PySpark uses efficient broadcast algorithms to distribute broadcast variables among workers, lowering communication costs.

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Hadoop Python Datasets Metadata 52

Databand.ai

JULY 10, 2023

Observability Platforms: 8 Key Capabilities and 6 Notable Solutions Eitan Chazbani July 10, 2023 What Is an Observability Platform? Observability platforms gather, examine, and display telemetry data from various sources like logs, metrics, and trace data. Observability Platform vs. Observability Tools: What Is the Difference?

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Data Pipeline Algorithm Raw Data Aggregated Data 52

Databand.ai

JULY 6, 2023

7 Data Pipeline Examples: ETL, Data Science, eCommerce, and More Joseph Arnold July 6, 2023 What Are Data Pipelines? Data pipelines are a series of data processing steps that enable the flow and transformation of raw data into valuable insights for businesses.

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Data Pipeline Data Science Raw Data Media 52

ProjectPro

JANUARY 31, 2023

If you're looking to break into the exciting field of big data or advance your big data career, being well-prepared for big data interview questions is essential. Get ready to expand your knowledge and take your big data career to the next level! But the concern is - how do you become a big data professional?

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Big Data Hadoop AWS Relational Database 52

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.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Rock the JVM

MAY 22, 2023

I talked at length about writing production apps on the Typelevel libraries at Scalar and ScalaMatsuri 2023; you can find a polished recording here. Apache Spark Apache Spark is a popular distributed computing engine that provides high-performance processing of large-scale datasets. What should I look for in a Scala course?

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Scala Java Programming Language Programming 52

ProjectPro

AUGUST 24, 2021

Data professionals who work with raw data like data engineers, data analysts, machine learning scientists , and machine learning engineers also play a crucial role in any data science project. And, out of these professions, this blog will discuss the data engineering job role.

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Data Engineering Data Engineer Coding Project 52

Snowflake

JUNE 27, 2023

We’re going to summarize these new capabilities in this blog post. Between when we began tracking the SPI on August 25, 2022 to April 30, 2023, query duration time improved by 15 percent for customers’ stable workloads in Snowflake. Learn more on-demand To learn more about these innovations, visit the Summit 2023 page.

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Data Governance Unstructured Data Government SQL 57

Databand.ai

DECEMBER 29, 2022

If you think we missed someone, please comment and we’ll update it for 2023. ? 1) Scott Taylor The Data Whisperer & Principal Consultant at MetaMeta Consulting Scott considers himself “the data whisperer,” helping to calm data down.

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BI Consulting Data Science Data Governance 52

Databand.ai

DECEMBER 20, 2022

If you think we missed someone, please comment and we’ll update it for 2023. ? He is also an open-source developer at The Apache Software Foundation and the author of Hysterical , a popular blog on tech careers and topics like data, coding, and engineering.

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Data Analytics Google Cloud Data Science Data Mining 52

Towards Data Science

OCTOBER 7, 2023

Financial services Way back in early 2023, Wall Street institutions like Goldman Sachs and Citigroup famously banned ChatGPT due to data privacy concerns. Employees can use the tool to ask questions about markets, internal processes, and recommendations.

Unstructured Data 76

Unstructured Data Finance SQL Media 76

Monte Carlo

OCTOBER 4, 2023

Financial services Way back in early 2023, Wall Street institutions like Goldman Sachs and Citigroup famously banned ChatGPT due to data privacy concerns. Employees can use the tool to ask questions about markets, internal processes, and recommendations.

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Unstructured Data Finance SQL Media 72