Xebia

JANUARY 19, 2023

The following is a review of the book Fundamentals of Data Engineering by Joe Reis and Matt Housley, published by O’Reilly in June of 2022, and some takeaway lessons. This book is as good for a project manager or any other non-technical role as it is for a computer science student or a data engineer.

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CIO

JANUARY 3, 2025

These changes can cause many more unexpected performance and availability issues. At the same time, the scale of observability data generated from multiple tools exceeds human capacity to manage. million in reduced tool-sprawl savings, and productivity savings from freeing the time of 96 full-time employees.

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CIO

DECEMBER 4, 2024

And since the latest hot topic is gen AI, employees are told that as long as they don’t use proprietary information or customer code, they should explore new tools to help develop software. These tools help people gain theoretical knowledge,” says Raj Biswas, global VP of industry solutions.

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Cloudera

SEPTEMBER 17, 2020

With growing disparate data across everything from edge devices to individual lines of business needing to be consolidated, curated, and delivered for downstream consumption, it’s no wonder that data engineering has become the most in-demand role across businesses — growing at an estimated rate of 50% year over year.

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Altexsoft

JUNE 25, 2019

If we look at the hierarchy of needs in data science implementations, we’ll see that the next step after gathering your data for analysis is data engineering. This discipline is not to be underestimated, as it enables effective data storing and reliable data flow while taking charge of the infrastructure.

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TechCrunch

DECEMBER 1, 2020

DevOps continues to get a lot of attention as a wave of companies develop more sophisticated tools to help developers manage increasingly complex architectures and workloads. “Users didn’t know how to organize their tools and systems to produce reliable data products.”

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TechCrunch

JUNE 17, 2021

Now, three alums that worked with data in the world of Big Tech have founded a startup that aims to build a “metrics store” so that the rest of the enterprise world — much of which lacks the resources to build tools like this from scratch — can easily use metrics to figure things out like this, too.

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Cloudera

DECEMBER 21, 2021

Since the release of Cloudera Data Engineering (CDE) more than a year ago , our number one goal was operationalizing Spark pipelines at scale with first class tooling designed to streamline automation and observability. Data pipelines are composed of multiple steps with dependencies and triggers. New in 2021.

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Data Engineering Technical Review Software Review Engineering 118

Cloudera

SEPTEMBER 2, 2021

At Cloudera, we introduced Cloudera Data Engineering (CDE) as part of our Enterprise Data Cloud product — Cloudera Data Platform (CDP) — to meet these challenges. Traditional scheduling solutions used in big data tools come with several drawbacks. How Gang Scheduling and bin-packing improve job performance

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Data Engineering Performance Engineering Data 85

Xebia

DECEMBER 23, 2024

Modern Pay-As-You-Go Data Platforms: Easy to Start, Challenging to Control It’s Easier Than Ever to Start Getting Insights into Your Data The rapid evolution of data platforms has revolutionized the way businesses interact with their data.

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Xebia

DECEMBER 23, 2024

Modern Pay-As-You-Go Data Platforms: Easy to Start, Challenging to Control It’s Easier Than Ever to Start Getting Insights into Your Data The rapid evolution of data platforms has revolutionized the way businesses interact with their data.

Data 130

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Xebia

NOVEMBER 21, 2024

dbt (data build tool) has seen increasing use in recent years as a tool to transform data in data warehouses. of the repository, while other times this is in an external tool like Confluence or Notion. What other checks can dbt-bouncer perform? But what about dbt? Sometimes this is in the README.md

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Altexsoft

JULY 23, 2020

introduces available tools and platforms to automate MLOps steps. It facilitates collaboration between a data science team and IT professionals, and thus combines skills, techniques, and tools used in data engineering, machine learning, and DevOps — a predecessor of MLOps in the world of software development.

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Artificial Inteligence Machine Learning DevOps Tools 145

TechCrunch

OCTOBER 13, 2022

Data engineers have a big problem. Almost every team in their business needs access to analytics and other information that can be gleaned from their data warehouses, but only a few have technical backgrounds. The New York-based startup announced today that it has raised $7.6

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Operating System Technical Review Analytics Systems Review 233

Altexsoft

OCTOBER 30, 2021

If you’re an executive who has a hard time understanding the underlying processes of data science and get confused with terminology, keep reading. We will try to answer your questions and explain how two critical data jobs are different and where they overlap. Data science vs data engineering.

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Data Engineering Engineering Data Artificial Inteligence 98

The Crazy Programmer

NOVEMBER 6, 2021

They also use tools like Amazon Web Services and Microsoft Azure. Big Data Engineer. Another highest-paying job skill in the IT sector is big data engineering. And as a big data engineer, you need to work around the big data sets of the applications. AI or Artificial Intelligence Engineer.

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Artificial Inteligence Blockchain Software Review Artificial Intelligence 290

Netflix Tech

JUNE 20, 2024

A summary of sessions at the first Data Engineering Open Forum at Netflix on April 18th, 2024 The Data Engineering Open Forum at Netflix on April 18th, 2024. At Netflix, we aspire to entertain the world, and our data engineering teams play a crucial role in this mission by enabling data-driven decision-making at scale.

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TechCrunch

JULY 12, 2022

But building data pipelines to generate these features is hard, requires significant data engineering manpower, and can add weeks or months to project delivery times,” Del Balso told TechCrunch in an email interview. Systems use features to make their predictions. This is a difficult transition for enterprises.

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CIO

DECEMBER 22, 2022

DataOps (data operations) is an agile, process-oriented methodology for developing and delivering analytics. It brings together DevOps teams with data engineers and data scientists to provide the tools, processes, and organizational structures to support the data-focused enterprise. What is DataOps?

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Analytics Data Engineering Artificial Inteligence Machine Learning 195

Cloudera

DECEMBER 4, 2024

Our customers rely on NiFi as well as the associated sub-projects (Apache MiNiFi and Registry) to connect to structured, unstructured, and multi-modal data from a variety of data sources – from edge devices to SaaS tools to server logs and change data capture streams. Cloudera DataFlow 2.9

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O'Reilly Media - Ideas

JANUARY 14, 2025

Ever since the computer industry got started in the 1950s, software developers have built tools to help them write software. AI is just another tool, another link added to the end of that chain. Software developers are excited by tools like GitHub Copilot, Cursor, and other coding assistants that make them more productive.

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Altexsoft

AUGUST 25, 2020

Big data is tons of mixed, unstructured information that keeps piling up at high speed. That’s why traditional data transportation methods can’t efficiently manage the big data flow. Big data fosters the development of new tools for transporting, storing, and analyzing vast amounts of unstructured data.

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Cloudera

APRIL 14, 2021

What is Cloudera Data Engineering (CDE) ? Cloudera Data Engineering is a serverless service for Cloudera Data Platform (CDP) that allows you to submit jobs to auto-scaling virtual clusters. Refer to the following cloudera blog to understand the full potential of Cloudera Data Engineering. .

Data Engineering 84

Data Engineering Engineering Data Serverless 84

TechCrunch

AUGUST 4, 2022

Rill launched in 2020 to build what the founders envisioned as a faster and better BI dashboarding tool, based on what they had learned at Snap. They wanted an underlying database that could process database data much faster than simply taking it raw from the data source, whether that was Snowflake, Databricks, BigQuery or something else.

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Cloudera

OCTOBER 23, 2024

By maintaining operational metadata within the table itself, Iceberg tables enable interoperability with many different systems and engines. The Iceberg REST catalog specification is a key component for making Iceberg tables available and discoverable by many different tools and execution engines.

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Data Analytics Systems Review Architecture 84

O'Reilly Media - Ideas

DECEMBER 6, 2018

As the use of machine learning and analytics become more widespread, we’re beginning to see tools that enable data scientists and data engineers to scale and tackle many more problems and maintain more systems. Continue reading Tools for generating deep neural networks with efficient network architectures.

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Altexsoft

APRIL 22, 2020

So, along with data scientists who create algorithms, there are data engineers, the architects of data platforms. In this article we’ll explain what a data engineer is, the field of their responsibilities, skill sets, and general role description. What is a data engineer?

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Data Engineering Engineering Artificial Inteligence Data 69

CIO

APRIL 22, 2022

The benefits of data science. The business value of data science depends on organizational needs. Data science could help an organization build tools to predict hardware failures, enabling the organization to perform maintenance and prevent unplanned downtime. Data science tools.

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Data Artificial Inteligence Machine Learning Analytics 210

Perficient

FEBRUARY 13, 2023

Introduction: We often end up creating a problem while working on data. So, here are few best practices for data engineering using snowflake: 1.Transform Using COPY and SNOWPIPE is the fastest and cheapest way to load data. In fact, this is another example of using the right tools.

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Data Engineering Engineering Data Storage 69

Altexsoft

AUGUST 25, 2021

Specifics of data used in NLP. Tools you can use to build NLP models. Translation tools such as Google Translate rely on NLP not to just replace words in one language with words of another, but to provide contextual meaning and capture the tone and intent of the original text. are successfully performed by rules.

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Tools Artificial Inteligence Technical Review Systems Review 139

CIO

JUNE 7, 2022

Successful AI teams also include a range of people who understand the business and the problems it’s trying to solve, says Bradley Shimmin, chief analyst for AI platforms, analytics, and data management at consulting firm Omdia. An ML engineer is also involved with validation of models, A/B testing, and monitoring in production.”.

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Artificial Inteligence Technical Review Fractional CTO Data Engineering 218

AWS Machine Learning - AI

MARCH 13, 2025

This post was co-written with Vishal Singh, Data Engineering Leader at Data & Analytics team of GoDaddy Generative AI solutions have the potential to transform businesses by boosting productivity and improving customer experiences, and using large language models (LLMs) in these solutions has become increasingly popular.

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CIO

JUNE 7, 2022

What is data analytics? Data analytics is a discipline focused on extracting insights from data. It comprises the processes, tools and techniques of data analysis and management, including the collection, organization, and storage of data. Data analytics tools.

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Analytics Data Analysis Business Analytics 203

The Crazy Programmer

MARCH 14, 2020

Yet, for as influential as it might appear, digital transformation seems to be performing rather poorly among its most ardent defenders. According to a widely-cited McKinsey survey, only 16% of companies had successful digital transformations (as in, changes that brought improved performance that could be sustained over time).

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TechCrunch

JULY 25, 2022

The funding will be used to add more features to Omni, including a recruitment module by the third quarter and a performance enhancement module by the end of the year. The company was founded in 2021 by Brian Ip, a former Goldman Sachs executive, and data engineer YC Chan.

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Recruiting Technical Review Software Review Systems Review 224

TechCrunch

MARCH 21, 2023

Organizations dealing with large amounts of data often struggle to ensure that data remains high-quality. According to a survey from Great Expectations, which creates open source tools for data testing, 77% of companies have data quality issues and 91% believe that it’s impacting their performance.

Data 202

Data Data Engineering Training Engineering 202

Gorilla Logic

APRIL 27, 2022

Are you a data engineer or seeking to become one? This is the first entry of a series of articles about skills you’ll need in your everyday life as a data engineer. So let’s begin with the first and, in my opinion, the most useful tool in your technical tool belt, SQL. This blog post is for you.

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