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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Xebia

DECEMBER 23, 2024

A lack of monitoring might result in idle clusters running longer than necessary, overly broad data queries consuming excessive compute resources, or unexpected storage costs due to unoptimized data retention. Once the decision is made, inefficiencies can be categorized into two primary areas: compute and storage.

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Data Storage Culture Resources 130

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. Securing and scaling storage. Test Drive CDP Pubic Cloud.

Data Engineering 118

Data Engineering Technical Review Software Review Engineering 118

Cloudera

FEBRUARY 14, 2022

When we introduced Cloudera Data Engineering (CDE) in the Public Cloud in 2020 it was a culmination of many years of working alongside companies as they deployed Apache Spark based ETL workloads at scale. It’s no longer driven by data volumes, but containerization, separation of storage and compute, and democratization of analytics.

Data Engineering 113

Data Engineering Engineering Data Storage 113

Toptal

DECEMBER 6, 2016

With the rise of big data and data science, storage and retrieval have become a critical pipeline component for data use and analysis. Recently, new data storage technologies have emerged. Which one is best suited for data engineering? But the question is: Which one should you choose?

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Xebia

OCTOBER 18, 2024

Dbt is a popular tool for transforming data in a data warehouse or data lake. It enables data engineers and analysts to write modular SQL transformations, with built-in support for data testing and documentation. This makes dbt a natural choice for the Ducklake setup.

Open Source 162

Open Source AWS Government Technical Review 162

O'Reilly Media - Ideas

APRIL 9, 2019

Or, why science and engineering are still different disciplines. "A He would have to ask an engineer to do it for him.". A few months ago, I wrote about the differences between data engineers and data scientists. That was interesting because the data engineers didn’t push back saying they’re data scientists.

Data Engineering 112

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CIO

JUNE 19, 2024

Three years ago BSH Home Appliances completely rearranged its IT organization, creating a digital platform services team consisting of three global platform engineering teams, and four regional platform and operations teams. Berke Menekli, VP of digital platform services, says it’s one of the best things he ever did.

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Weak Development Team Engineering UI/UX Software Development 208

Cloudera

DECEMBER 2, 2024

Lakehouse Optimizer : Cloudera introduced a service that automatically optimizes Iceberg tables for high-performance queries and reduced storage utilization. The net result is that queries are more efficient and run for shorter durations, while storage costs and energy consumption are reduced. Give it a try today.

Sustainability 89

Sustainability AWS Analytics Infrastructure 89

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.

Data Engineering 104

Data Engineering Engineering Data Tools 104

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 Engineering Data Artificial Inteligence 98

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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Data Engineering Engineering Data Generative AI 82

The Crazy Programmer

NOVEMBER 6, 2021

A cloud architect has a profound understanding of storage, servers, analytics, and many more. 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. DevOps Engineer.

Artificial Inteligence 290

Artificial Inteligence Blockchain Software Review Artificial Intelligence 290

Honeycomb

APRIL 23, 2025

Executives may not need to understand the technical details of the implementation decisions that roll up to them, but observability engineering teams sure as hell do. If theres one thing we know about data problems, its that cost is always a first class citizen. But before we get to those, lets briefly talk about the ones that arent.

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Weak Development Team Metrics Storage Engineering 106

Netflix Tech

OCTOBER 28, 2021

Data Engineers of Netflix?—?Interview Interview with Pallavi Phadnis This post is part of our “ Data Engineers of Netflix ” series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. Pallavi Phadnis is a Senior Software Engineer at Netflix.

Data Engineering 72

Data Engineering Engineering Data Software Engineering 72

Cloudera

OCTOBER 11, 2021

Modak, a leading provider of modern data engineering solutions, is now a certified solution partner with Cloudera. Customers can now seamlessly automate migration to Cloudera’s Hybrid Data Platform — Cloudera Data Platform (CDP) to dynamically auto-scale cloud services with Cloudera Data Engineering (CDE) integration with Modak Nabu.

Data Engineering 95

Data Engineering Engineering Data Cloud 95

Altexsoft

AUGUST 25, 2020

Big data can be quite a confusing concept to grasp. What to consider big data and what is not so big data? Big data is still data, of course. But it requires a different engineering approach and not just because of its amount. Data engineering vs big data engineering.

Big Data 75

Big Data Data Engineering Engineering Data 75

CIO

OCTOBER 13, 2023

Big data architect: The big data architect designs and implements data architectures supporting the storage, processing, and analysis of large volumes of data. Data architect vs. data engineer The data architect and data engineer roles are closely related.

Data 199

Data Data Engineering Database Administration Artificial Inteligence 199

Cloudera

SEPTEMBER 2, 2021

The shift to cloud has been accelerating, and with it, a push to modernize data pipelines that fuel key applications. That is why cloud native solutions which take advantage of the capabilities such as disaggregated storage & compute, elasticity, and containerization are more paramount than ever.

Data Engineering 85

Data Engineering Performance Engineering Data 85

TechCrunch

NOVEMBER 4, 2022

Ashish Kakran , principal at Thomvest Ventures , is a product manager/engineer turned investor who enjoys supporting founders with a balance of technical know-how, customer insights, empathy with challenges and market knowledge. Each step of the data analysis process is ripe for disruption. Ashish Kakran. Contributor. Share on Twitter.

Data 218

Data Storage Analytics Data Engineering 218

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?

Data Engineering 69

Data Engineering Engineering Artificial Inteligence Data 69

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.

Data 84

Data Analytics Systems Review Architecture 84

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 So, resist the temptation to periodically load data using other methods (such as querying external tables). Use it, but don’t use it for normal large data loads.

Data Engineering 69

Data Engineering Engineering Data Storage 69

CIO

OCTOBER 9, 2024

The data preparation process should take place alongside a long-term strategy built around GenAI use cases, such as content creation, digital assistants, and code generation. Known as data engineering, this involves setting up a data lake or lakehouse, with their data integrated with GenAI models.

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Strategy Data Artificial Inteligence Storage 215

Apiumhub

DECEMBER 9, 2024

Azure Key Vault Secrets offers a centralized and secure storage alternative for API keys, passwords, certificates, and other sensitive statistics. It allows information engineers, facts scientists, and enterprise analysts to query, control, and use lots of equipment and languages to gain insights. What is Azure Synapse Analytics?

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Azure Analytics Storage Artificial Inteligence 91

O'Reilly Media - Data

AUGUST 16, 2018

Today’s data science and data engineering teams work with a variety of machine learning libraries, data ingestion, and data storage technologies. And as data science and data engineering teams continue to expand, tools need to enable and facilitate collaboration.

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CIO

APRIL 10, 2024

As with many data-hungry workloads, the instinct is to offload LLM applications into a public cloud, whose strengths include speedy time-to-market and scalability. Data-obsessed individuals such as Sherlock Holmes knew full well the importance of inferencing in making predictions, or in his case, solving mysteries.

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Artificial Inteligence Generative AI Storage Artificial Intelligence 203

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. With SQL, you can also work with complex data types like arrays and JSON objects. This blog post is for you. RIGHT “OUTER” JOIN .

Data Engineering 59

Data Engineering Engineering Data Windows 59

O'Reilly Media - Data

APRIL 3, 2018

Data Science and Machine Learning sessions will cover tools, techniques, and case studies. This year’s sessions on Data Engineering and Architecture showcases streaming and real-time applications, along with the data platforms used at several leading companies. Data platforms. Privacy and security.

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Artificial Inteligence Machine Learning Company Case Study 240

TechCrunch

DECEMBER 1, 2020

In the latest development, Databand — an AI-based observability platform for data pipelines, specifically to detect when something is going wrong with a datasource when an engineer is using a disparate set of data management tools — has closed a round of $14.5 ” Not a great scenario.

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Tools Data Weak Development Team Big Data 214

Trigent

JUNE 20, 2022

To do this, they are constantly looking to partner with experts who can guide them on what to do with that data. This is where data engineering services providers come into play. Data engineering consulting is an inclusive term that encompasses multiple processes and business functions.

Data Engineering 52

Data Engineering Engineering Data Strategy 52

TechCrunch

APRIL 12, 2022

Prior to joining Lyft, Umare was a senior software engineer at Amazon and a principal engineer at Oracle, where he led development of a block storage product for an infrastructure-as-a-service and bare metal offering.

Artificial Inteligence 202

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Mobilunity

AUGUST 3, 2021

The cloud offers excellent scalability, while graph databases offer the ability to display incredible amounts of data in a way that makes analytics efficient and effective. Who is Big Data Engineer? Big Data requires a unique engineering approach. Big Data Engineer vs Data Scientist.

Big Data 52

Big Data Data Engineering Engineering Data 52

AWS Machine Learning - AI

APRIL 23, 2025

Multiple specialized Amazon Simple Storage Service Buckets (Amazon S3 Bucket) store different types of outputs. Solution Components Storage architecture The application uses a multi-bucket Amazon S3 storage architecture designed for clarity, efficient processing tracking, and clear separation of document processing stages.

Artificial Inteligence 66

Artificial Inteligence Open Source AWS Serverless 66

Netflix Tech

DECEMBER 21, 2020

At this scale, we can gain a significant amount of performance and cost benefits by optimizing the storage layout (records, objects, partitions) as the data lands into our warehouse. We built AutoOptimize to efficiently and transparently optimize the data and metadata storage layout while maximizing their cost and performance benefits.

Storage 84

Storage Data Resources Data Engineering 84

Cloudera

SEPTEMBER 10, 2021

Shared Data Experience ( SDX ) on Cloudera Data Platform ( CDP ) enables centralized data access control and audit for workloads in the Enterprise Data Cloud. The public cloud (CDP-PC) editions default to using cloud storage (S3 for AWS, ADLS-gen2 for Azure).

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Storage Cloud Azure Pharmaceuticals 83

AWS Machine Learning - AI

MARCH 13, 2025

MaestroQA also offers a logic/keyword-based rules engine for classifying customer interactions based on other factors such as timing or process steps including metrics like Average Handle Time (AHT), compliance or process checks, and SLA adherence. For example, Can I speak to your manager?

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Generative AI CTO Coach AWS Artificial Inteligence 110