Data Engineering Weekly

DECEMBER 25, 2023

Welcome to another insightful edition of Data Engineering Weekly. As we approach the end of 2023, it's an opportune time to reflect on the key trends and developments that have shaped the field of data engineering this year. This evolution marks a significant step towards more flexible and powerful data management systems.

Data Engineering 52

Data Engineering Data Engineer Engineering Unstructured Data 52

Knowledge Hut

JANUARY 18, 2024

Picture this: every day, we generate a mind-boggling amount of data. From social media posts and online transactions to sensor readings and healthcare records, data is the fuel that powers modern businesses and organizations. To put that into perspective, that's equivalent to 212,765,957 DVDs worth of data!

Data Analytics 52

Data Analytics Healthcare Machine Learning Algorithm 52

Knowledge Hut

DECEMBER 26, 2023

Today's trends include data analytics, artificial intelligence, big data, and data science. Business organizations are adopting data-driven models to simplify their processes and make decisions based on the insights derived from data analytics. What i s Data Science ?

Data Science 52

Data Science Database-centric Pipeline-centric Data Mining 52

KDnuggets

DECEMBER 10, 2021

Our panel of leading experts reviews 2021 main developments and examines the key trends in AI, Data Science, Machine Learning, and Deep Learning Technology.

Machine Learning 155

Machine Learning Data Science Technology Deep Learning 155

Data Engineering Weekly

NOVEMBER 26, 2023

It’s the end of the year, and there will be a lot of buzz about what the next five years in data engineering might bring. 🤔 Reflecting on the past is crucial; it gives us a solid foundation to understand how trends have evolved and what's worked (or not). But here's a thought - why not look back to uncover the patterns?

Data Engineering 70

Data Engineering Data Engineer Engineering Kafka 70

Precisely

JANUARY 9, 2023

With global data creation projected to grow to more than 180 zettabytes by 2025 , it’s not surprising that more organizations than ever are looking to harness their ever-growing datasets to drive more confident business decisions. As data initiatives become more sophisticated, organizations will uncover new data quality challenges.

Data Integration 81

Data Integration Data Governance Government Data 81

Monte Carlo

DECEMBER 20, 2023

“The data and AI space moves fast. Wondering what’s next for the future of data engineering and GenAI? Each year, we chat with one of the data industry’s pioneering leaders about their predictions for the modern data stack – and share a few of our own. Data teams will look like software teams 3.

Amazon Web Services 52

Amazon Web Services Metadata AWS Data 52

Monte Carlo

JANUARY 24, 2024

Data is among your company’s most valuable commodities, but only if you know how to manage it. More data, more access to data, and more regulations mean data governance has become a higher-stakes game. Data Governance Trends The biggest data governance trend isn’t really a trend at all—rather, it’s a state of mind.

Data Governance 52

Data Governance Government Data Lake Data Architecture 52

Monte Carlo

JANUARY 12, 2024

The concept of big data – complicated datasets that are too dense for traditional computing setups to deal with – is nothing new. But what is new, or still developing at least, is the extent to which data engineers can manage, data scientists can experiment, and data analysts can analyze this treasure trove of raw business insights.

Big Data 59

Big Data Data Analytics Data Science Data Lake 59

KDnuggets

AUGUST 11, 2022

Let’s have a look at some of the key tech trends on the horizon right now.

Data Science 160

Data Science Data 160

KDnuggets

DECEMBER 14, 2021

We have solicited insights from experts at industry-leading companies, asking: "What were the main AI, Data Science, Machine Learning Developments in 2021 and what key trends do you expect in 2022?" Read their opinions here.

Data Science 156

Data Science Machine Learning Data Data Lake 156

Snowflake

JUNE 5, 2023

When it comes to data, state of the art is an ever-moving target. At Snowflake, we’re able to see how cutting-edge companies are actually working with data on our platform. Companies are connecting data everywhere they can. Rising data complexity undermines the drive toward more AI/ML use cases.

Government 52

Government Data Cloud Accessible 52

Data Engineering Podcast

JUNE 8, 2020

Summary The landscape of data management and processing is rapidly changing and evolving. There are certain foundational elements that have remained steady, but as the industry matures new trends emerge and gain prominence. If you hand a book to a new data engineer, what wisdom would you add to it?

Data Management 100

Data Management Management Machine Learning Portfolio 100

WeCloudData

FEBRUARY 23, 2024

For those of you who read my last blog, I looked at how the data science job market had performed in 2023 – at least since August when the data collection began.

Data Science 52

Data Science Data Collection Data Machine Learning 52

Knowledge Hut

FEBRUARY 28, 2024

From the moment we wake up in the morning till we go back to sleep, our lives run on data. Big data has enabled us to accelerate growth and development and reach a new phase for humanity. There is no telling what the future of big data technology holds. What is Big Data? Big data refers to large amounts of data.

Big Data 52

Big Data Cloud Storage Healthcare SQL 52

U-Next

NOVEMBER 9, 2022

As data scientists, we read articles about the industry, consume videos and podcasts on the topic and immerse ourselves in this domain all through the year. And as experts, we also take pride in ‘visualizing’ specific trends for an upcoming year based on the events and occurrences of the current one. . Data-as-a-Service (DaaS) .

Data Science 52

Data Science BI Machine Learning Cloud Computing 52

Cloudera

FEBRUARY 18, 2021

These are prominent concerns because of increasing regulatory pressure, but also due to how rapidly data volume is growing due to sensors, third-party aggregators, and other alternative sources. I’m sure you’ve already ready a number of trends and forecasts for 2021. Trend #1: Expanded Use of ML/AI as Part of Digital Acceleration.

Insurance 105

Insurance Cloud Cloud Computing Data 105

KDnuggets

DECEMBER 9, 2019

The field of Data Science is growing with new capabilities and reach into every industry. With digital transformations occurring in organizations around the world, 2019 included trends of more companies leveraging more data to make better decisions. Check out these next trends in Data Science expected to take off in 2020.

Data Science 109

Data Science Data Cloud Computing Cloud 109

Simon Späti

JUNE 20, 2022

Data consumers, such as data analysts, and business users, care mostly about the production of data assets. On the other hand, data engineers have historically focused on modeling the dependencies between tasks (instead of data assets) with an orchestrator tool. How can we reconcile both worlds?

Data Pipeline 147

Data Pipeline Data Data Engineering Data Engineer 147

KDnuggets

OCTOBER 3, 2023

Perform job trend analysis and check the results using NLP.

Data Analytics 102

Data Analytics Data Data Science 102

Precisely

MAY 9, 2023

Author’s note: this article about industry trends and trusted data has been adapted from an article originally published in Solutions Review. As a result, more organizations than ever are relying on data-driven decision-making to drive transformation and produce the best results possible. Learn more 1.

Data Integration 52

Data Integration Government Data Governance Data 52

Simon Späti

JUNE 14, 2022

Data consumers, such as data analysts, and business users, care mostly about the production of data assets. On the other hand, data engineers have historically focused on modeling the dependencies between tasks (instead of data assets) with an orchestrator tool. How can we reconcile both worlds?

Data Pipeline 130

Data Pipeline Data Data Engineering Data Engineer 130

KDnuggets

NOVEMBER 21, 2023

Check out these skillsets in demand for the data analytics job market.

Data Analytics 116

Data Analytics Data 116

Cloudera

SEPTEMBER 29, 2022

Data teams have the impossible task of delivering everything (data and workloads) everywhere (on premise and in all clouds) all at once (with little to no latency). Each of these trends claim to be complete models for their data architectures to solve the “everything everywhere all at once” problem. Data mesh defined.

Architecture 73

Architecture Data Architecture Metadata Data Warehouse 73

DataKitchen

JANUARY 7, 2022

The post Trend-Setting Products in Data and Information Management for 2022 first appeared on DataKitchen.

Management 98

Management Data 98

WeCloudData

NOVEMBER 9, 2023

Last month I wrote a blog called, ‘The Future of Data Science: Job Trends, Skills, and Technologies You Need to Know’. Its primary aim was to provide context and familiarity around the data science job market.

Data Science 52

Data Science Technology Data IT 52

WeCloudData

SEPTEMBER 14, 2023

I almost called this blog ‘Things I Would Have Loved to Have Known Before Starting Out on a Career in Data Science’. Given the content of this blog, that sentiment remains true.

Data Science 52

Data Science Technology Data 52

Hevo

MARCH 15, 2024

Data science is vital to business success. He is also the co-founder and CEO of Content Solutions, a digital marketing agency. He has consulted Fortune 500 companies, influencers with digital products, and a number of A-list celebrities. It’s our […]

Data Science 52

Data Science Consulting Data IT 52

Hevo

SEPTEMBER 24, 2023

According to HG Data, 1.5 billion on modern data infrastructure in 2023.[1] 1] It’s no surprise that the volume of data in our hands has grown exponentially over the past few years. To keep up with it, the data infrastructure had to evolve at a similar pace. million companies are slated to spend $133.6

Data 52

Data IT 52

Silectis

MARCH 9, 2021

The importance of data engineering is on the rise, with organizations increasingly investing in talent and infrastructure. I caught up with a few members of the team to take note of some of the data engineering trends we anticipate seeing more of this year and beyond. – Matt Boegner , Data Architect at Silectis 2.

Data Engineering 52

Data Engineering Data Engineer Engineering ETL Tools 52

Monte Carlo

JUNE 3, 2021

In this report, we’ll dive into the latest data platform trends and challenges, as well as outline the key factors teams should consider when building their solutions, including: Data discovery Data mesh Data democratization Data observability And many others.

Data 52

Data Building 52

Cloudera

JANUARY 5, 2023

In the past year, businesses who doubled down on digital transformation during the pandemic saw their efforts coming to fruition in the form of cost savings and more streamlined data management. Here are three key trends that will likely dominate the priorities of APAC’s business leaders in the coming year.

Banking 52

Banking Machine Learning Insurance Data Architecture 52

KDnuggets

JULY 17, 2023

The All Things Insights and marketing analytics and data science community completed an extensive survey covering what executives are thinking, how they’re spending and the issues and opportunities they face. Grab your free copy now.

Data Science 73

Data Science Data 73