Pinterest Engineering

JULY 25, 2023

Soam Acharya | Data Engineering Oversight; Keith Regier | Data Privacy Engineering Manager Background Businesses collect many different types of data. The result is a multi-tenant Data Engineering platform, allowing users and services access to only the data they require for their work.

Big Data 98

Big Data Accessible Accessibility Hadoop 98

Maxime Beauchemin

JANUARY 20, 2017

I joined Facebook in 2011 as a business intelligence engineer. By the time I left in 2013, I was a data engineer. We were data engineers! Data Engineering? Data science as a discipline was going through its adolescence of self-affirming and defining itself. We were pioneers.

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Data Engineering Data Engineer Engineering ETL Tools 130

Seattle Data Guy

MARCH 1, 2024

Real-time data processing can satisfy the ever-increasing demand for… Read more The post 5 Real-Time Data Processing and Analytics Technologies – And Where You Can Implement Them appeared first on Seattle Data Guy.

Data Process 130

Data Process Technology Process Data 130

Knowledge Hut

JUNE 26, 2023

Welcome to the world of data engineering, where the power of big data unfolds. If you're aspiring to be a data engineer and seeking to showcase your skills or gain hands-on experience, you've landed in the right spot. What are Data Engineering Projects?

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Data Engineering Data Engineer Coding Project 98

AltexSoft

JULY 18, 2023

These seemingly unrelated terms unite within the sphere of big data, representing a processing engine that is both enduring and powerfully effective — Apache Spark. Maintained by the Apache Software Foundation, Apache Spark is an open-source, unified engine designed for large-scale data analytics.

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Big Data Data Process Process Hadoop 52

AltexSoft

MAY 14, 2021

Big Data enjoys the hype around it and for a reason. But the understanding of the essence of Big Data and ways to analyze it is still blurred. This post will draw a full picture of what Big Data analytics is and how it works. Big Data and its main characteristics. Key Big Data characteristics.

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Big Data Data Analytics IT NoSQL 78

Data Engineering Podcast

AUGUST 17, 2020

Summary Most databases are designed to work with textual data, with some special purpose engines that support domain specific formats. TileDB is a data engine that was built to support every type of data by using multi-dimensional arrays as the foundational primitive.

Data Engineering 100

Data Engineering Data Engineer Engineering Database Design 100

LinkedIn Engineering

JULY 19, 2023

Open source data lakehouse deployments are built on the foundations of compute engines (like Apache Spark, Trino, Apache Flink), distributed storage (HDFS, cloud blob stores), and metadata catalogs / table formats (like Apache Iceberg, Delta, Hudi, Apache Hive Metastore).

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Big Data Data Management Management Metadata 78

ProjectPro

JANUARY 25, 2022

Did you know that, according to Linkedin, over 24,000 Big Data jobs in the US list Apache Spark as a required skill? Learning Spark has become more of a necessity to enter the Big Data industry. Python is one of the most extensively used programming languages for Data Analysis, Machine Learning , and data science tasks.

Big Data 52

Big Data Data Process Process Kafka 52

Seattle Data Guy

APRIL 25, 2024

As data increased in volume, velocity, and variety, so, in turn, did the need for tools that could help process and manage those larger data sets coming at us at ever faster speeds.

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Big Data Data Process Process Management 147

Knowledge Hut

APRIL 23, 2024

Thus, it is no wonder that the origin of big data is a topic many big data professionals like to explore. The historical development of big data, in one form or another, started making news in the 1990s. Magnetic tapes were the next step in data storage.

Big Data 52

Big Data Amazon Web Services Cloud Computing Media 52

Knowledge Hut

APRIL 23, 2024

With the advent of technology and the arrival of modern communications systems, computer science professionals worldwide realized big data size and value. As big data evolves and unravels more technology secrets, it might help users achieve ambitious targets. Top 10 Disadvantages of Big Data 1.

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Big Data Media Government Big Data Skills 52

Snowflake

JUNE 20, 2024

In the age of AI, enterprises are increasingly looking to extract value from their data at scale but often find it difficult to establish a scalable data engineering foundation that can process the large amounts of data required to build or improve models.

Data Engineering 96

Data Engineering Data Engineer Scala Engineering 96

Data Engineering Weekly

AUGUST 4, 2024

Try For Free → Editor’s Note: The Data Engineering Evaluation Series For the last two weeks, we met several CDC experts and multiple iterations of preparing the evaluation guide for CDC tools. For a limited time, new sign-ups will receive a complimentary Airflow Fundamentals Certification exam (normally $150).

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Data Engineering Data Engineer Engineering Data 81

ProjectPro

SEPTEMBER 26, 2021

Big Data Engineer is one of the most popular job profiles in the data industry. 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 What does a big data engineer do?

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Big Data Data Engineering Data Engineer Engineering 52

Knowledge Hut

DECEMBER 27, 2023

Accessing and storing huge data volumes for analytics was going on for a long time. But ‘big data’ as a concept gained popularity in the early 2000s when Doug Laney, an industry analyst, articulated the definition of big data as the 3Vs. What is Big Data? Some examples of Big Data: 1.

Big Data Tools 59

Big Data Tools Big Data Hadoop Database-centric 59

Maxime Beauchemin

FEBRUARY 28, 2017

A few weeks ago it was The Rise of the Data Engineer by Maxime Beauchemin, a data engineer at Airbnb and creator of their data pipeline framework, Apache Airflow. You might be wondering, “What is data engineering and why does it matter?”

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Data Engineering Data Engineer Engineering Data Pipeline 130

AltexSoft

JUNE 29, 2021

This article will focus on the role of a machine learning engineer, their skills and responsibilities, and how they contribute to an AI project’s success. The role of a machine learning engineer in the data science team. The focus here is on engineering, not on building ML algorithms. Who does what in a data science team.

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Machine Learning Engineering Algorithm Programming Language 105

AltexSoft

OCTOBER 30, 2021

Was Nikola Tesla a scientist or engineer? These men didn’t stop at scientific research and ended up conceptualizing or engineering their inventions. Engineers are not only the ones bearing helmets and operating on construction sites. Data science vs data engineering. How about Edison? Or Da Vinci?

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Data Engineering Data Engineer Engineering Machine Learning 98

Knowledge Hut

MARCH 27, 2024

You can check out the Big Data Certification Online to have an in-depth idea about big data tools and technologies to prepare for a job in the domain. To get your business in the direction you want, you need to choose the right tools for big data analysis based on your business goals, needs, and variety.

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Big Data Data Analytics MongoDB Big Data Tools 52

AltexSoft

JULY 29, 2022

Depending on how you measure it, the answer will be 11 million newspaper pages or… just one Hadoop cluster and one tech specialist who can move 4 terabytes of textual data to a new location in 24 hours. Developed in 2006 by Doug Cutting and Mike Cafarella to run the web crawler Apache Nutch, it has become a standard for Big Data analytics.

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Hadoop Big Data Google Cloud NoSQL 59

Knowledge Hut

JANUARY 18, 2024

“Big data Analytics” is a phrase that was coined to refer to amounts of datasets that are so large traditional data processing software simply can’t manage them. For example, big data is used to pick out trends in economics, and those trends and patterns are used to predict what will happen in the future.

Data Process 52

Data Process Process Hadoop Scala 52

Knowledge Hut

APRIL 23, 2024

Big data has become the ultimate game-changer for organizations in today's data-driven environment. Organizations are utilizing the enormous potential of big data to help them succeed, from consumer insights that enable personalized experiences to operational efficiency that simplifies procedures.

Big Data 52

Big Data Recruitment Retail Transportation 52

Jesse Anderson

AUGUST 28, 2024

We rounded out the survey by asking about the economic effects on data teams. One of the most significant changes in data engineering between 2023 and 2024 was the release of LLMs that could handle human language much better than ever before. We start by asking some questions about each respondent’s data team.

Data 147

Data Consulting Big Data Data Engineering 147

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! Everything is about data these days.

Big Data 52

Big Data Hadoop Relational Database AWS 52

Data Engineering Weekly

FEBRUARY 18, 2024

Our hope is only with the amazing community of data practitioners who constantly support us. One thing I learned while writing Data Engineering Weekly is that persistence and consistency are the keys to success. We are so over the Big Data Era to Modern Data Stack. Elevate your data skills!

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Data Engineering Data Engineer Engineering Data 64

Knowledge Hut

DECEMBER 26, 2023

Big Data is a term that has gained popularity recently in the tech community. Larger and more complicated data quantities that are typically more challenging to manage than the typical spreadsheet is described by this idea. We will discuss some of the biggest data companies in this article. What Is a Big Data Company?

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Big Data Unstructured Data Amazon Web Services Hadoop 52

Knowledge Hut

SEPTEMBER 6, 2023

This influx of data is handled by robust big data systems which are capable of processing, storing, and querying data at scale. Consequently, we see a huge demand for big data professionals. In today’s job market data professionals, there are ample great opportunities for skilled data professionals.

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Big Data Certification Hadoop Kafka 52

ProjectPro

NOVEMBER 15, 2021

The adaptability and technical superiority of such open-source big data projects make them stand out for community use. As per the surveyors, Big data (35 percent), Cloud computing (39 percent), operating systems (33 percent), and the Internet of Things (31 percent) are all expected to be impacted by open source shortly.

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Big Data Project Metadata Programming Language 52

Big Data Tools

MAY 19, 2022

I’ll offer my impressions of recent developments in the data engineering space and highlight new ideas from the wider community. News A lot of engineering is about learning new things and keeping a finger on the pulse of new technologies. Here’s what’s happening in the world of data engineering right now.

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

Big Data Tools

MAY 19, 2022

I’ll offer my impressions of recent developments in the data engineering space and highlight new ideas from the wider community. News A lot of engineering is about learning new things and keeping a finger on the pulse of new technologies. Here’s what’s happening in the world of data engineering right now.

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

Knowledge Hut

JULY 5, 2024

Large enterprises heavily rely on data for informed decision-making, and this reliance is where data engineers step in. Data engineers like myself play a pivotal role in assessing infrastructure and taking relevant actions. Looking ahead, the future of data engineering appears promising.

Data Engineering 52

Data Engineering Data Engineer Engineering Hadoop 52

Knowledge Hut

MAY 3, 2024

Cluster Computing: Efficient processing of data on Set of computers (Refer commodity hardware here) or distributed systems. It’s also called a Parallel Data processing Engine in a few definitions. Spark is utilized for Big data analytics and related processing. Happy Learning!!!

Hadoop 98

Hadoop Scala Healthcare Big Data 98

DataKitchen

APRIL 13, 2021

Airflow — An open-source platform to programmatically author, schedule, and monitor data pipelines. DBT (Data Build Tool) — A command-line tool that enables data analysts and engineers to transform data in their warehouse more effectively. Reflow — A system for incremental data processing in the cloud.

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Consulting Machine Learning Data Science Data Pipeline 124

Knowledge Hut

DECEMBER 29, 2023

Data scientists may improve their knowledge and response to crucial business demands by opting to specialize in a subfield of their subject. It's possible they'll zero down on a certain data kind, like Big Data, or a computer language. Knowing which data to utilize, how to arrange the data, and so on is essential.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

Analytics Vidhya

FEBRUARY 13, 2023

Introduction Every data scientist demands an efficient and reliable tool to process this big unstoppable data. Today we discuss one such tool called Delta Lake, which data enthusiasts use to make their data processing pipelines more efficient and reliable.

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Data Process Process Data Data Warehouse 235

Monte Carlo

OCTOBER 31, 2024

One job that has become increasingly popular across enterprise data teams is the role of the AI data engineer. Demand for AI data engineers has grown rapidly in data-driven organizations. But what does an AI data engineer do? Table of Contents What Does an AI Data Engineer Do?

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Data Engineering Data Engineer Engineering Unstructured Data 52