Data Engineering Weekly

JANUARY 8, 2025

Together, we discussed how Hudi drives innovation, the state of open standards, and what lies ahead for data lakehouses in 2025 and beyond. This hybrid approach empowers enterprises to efficiently handle massive datasets while maintaining flexibility and reducing operational overhead. Exploring Apache Hudi 1.0:

Data Lake 63

Data Lake Datasets Retail Data Ingestion 63

Edureka

MARCH 6, 2025

Three Predictions for 2025: The Future of Cybersecurity in the AI Era As AI and machine learning continue to advance, several key trends will shape cybersecurity by 2025. Models: Unified Cybersecurity Infrastructure By 2025, cybersecurity will pivot toward a truly unified model. Is C|EH worth it in 2025? Absolutely.

Consulting 52

Consulting Machine Learning Certification Government 52

Monte Carlo

APRIL 28, 2025

Great for teams dealing with big, messy datasets. Its super searchable, and it supports data previews and lineage trackingso you can follow your data from where it starts to where it ends up. DataHub Source: DataHub DataHub , originally developed by LinkedIn, is another favorite.

Metadata 52

Metadata Hadoop Data SQL 52

Data Engineering Weekly

MARCH 2, 2025

Annual Report: The State of Apache Airflow® 2025 DataOps on Apache Airflow® is powering the future of business – this report reviews responses from 5,000+ data practitioners to reveal how and what’s coming next. Data Council 2025 is set for April 22-24 in Oakland, CA. link] Mehdio: DuckDB goes distributed?

Data Engineering 63

Data Engineering Data Engineer Engineering Datasets 63

Data Engineering Weekly

NOVEMBER 24, 2024

Editor’s Note: Launching Data & Gen-AI courses in 2025 I can’t believe DEW will reach almost its 200th edition soon. We are planning many exciting product lines to trial and launch in 2025. What I started as a fun hobby has become one of the top-rated newsletters in the data engineering industry.

Data Engineering 58

Data Engineering Data Engineer Engineering Insurance 58

Data Engineering Weekly

MARCH 16, 2025

Annual Report: The State of Apache Airflow® 2025 DataOps on Apache Airflow® is powering the future of business – this report reviews responses from 5,000+ data practitioners to reveal how and what’s coming next. Data Council 2025 is set for April 22-24 in Oakland, CA. What we learned?

Data Engineering 58

Data Engineering Data Engineer Engineering Amazon Web Services 58

The Pragmatic Engineer

OCTOBER 17, 2024

The historical dataset is over 20M records at the time of writing! ” These are sensible mid-term plans: but they do not answer for what happens to the startup starting 1 January 2025, when their grant funding runs out. This means about 275,000 up-to-date server prices, and around 240,000 benchmark scores.

Cloud 332

Cloud AWS Metadata Cloud Computing 332

Precisely

DECEMBER 18, 2024

2025 Outlook: Essential Data Integrity Insights Whats trending in trusted data and AI readiness for 2025? Enriching your address data with unique identifiers and external datasets is key to making better-informed decisions and minimizing these kinds of losses. The results are in!

Data Solutions 59

Data Solutions Retail Datasets Food 59

Data Engineering Weekly

APRIL 13, 2025

Save Your Spot → Stanford HAI: AI Index 2025 - State of AI in 10 Charts Stanford gives an insight into AI adoption in the industry with the AI adoption. Despite minor performance trade-offs, Dataset’s benefits significantly enhance correctness, clarity, and long-term maintainability in robust data engineering practices.

Data Engineering 63

Data Engineering Data Engineer Engineering Datasets 63

Snowflake

MARCH 31, 2025

From November 2024 to January 2025, over 4,000 customers used Snowflakes AI capabilities every week. For image data, running distributed PyTorch on Snowflake ML also with standard settings resulted in over 10x faster processing for a 50,000-image dataset when compared to the same managed Spark solution.

Healthcare 96

Healthcare Medical Government Food 96

Precisely

FEBRUARY 6, 2025

For IT operations (ITOps) teams, 2025 means reassessing technology stacks, processes, and people. Examples of datasets include privileged users, access to failures, and customer data. As businesses evolve and delivery speeds increase, IT operations teams face environments where downtime isn’t an option.

IT 64

IT Management Datasets Systems 64

Data Engineering Weekly

MARCH 30, 2025

Save Your Spot → Editor’s Note: Data Council 2025, Apr 22-24, Oakland, CA Data Council has always been one of my favorite events to connect with and learn from the data engineering community. Data Council 2025 is set for April 22-24 in Oakland, CA. We all bet on 2025 being the year of Agents.

Data Engineering 58

Data Engineering Data Engineer Engineering Pipeline-centric 58

Christophe Blefari

OCTOBER 20, 2023

a lea prepare command that creates database objects that needs to be created (dataset, schema, etc.). 25 million Creative Commons image dataset released — Fondant, an open-source processing framework, released publicly available images from web crawling with their associated license. What are the main differences?

Generalist 130

Generalist Entertainment NoSQL Datasets 130

Monte Carlo

FEBRUARY 13, 2025

The Gartner Data & Analytics Summit 2025 in London is approaching quickly! Why Gartners Data & Analytics Summit 2025 Matters 3. Summit Essentials Date & Location The Gartner Data & AI Summit takes place May 12-15th, 2025 in London, England. The Monte Carlo team will be attending, so be sure to look for us there!

Data Analytics 52

Data Analytics Government Data Architecture Data Lake 52

RandomTrees

MARCH 10, 2025

Cloud-Based Solutions: Large datasets may be effectively stored and analysed using cloud platforms. In 2025 , the tale of change is about more than simply technology; it is also about the vision, leadership, and strategy that enable it. Tableau, Power BI, and SAS provide user-friendly interfaces and extensive modelling capabilities.

Retail 52

Retail Hospitality Data Governance Banking 52

Cloudera

SEPTEMBER 18, 2020

Demand Forecasting – Companies must move beyond basic demand forecasting using only historical transaction data to leveraging real-time datasets and external consumer demand signals. Companies need to leverage more data and broader datasets, whether that is real-time data, whether that is external data or more specific to geolocations.

Retail 84

Retail Manufacturing Datasets Machine Learning 84

Snowflake

OCTOBER 22, 2024

While the app itself is cool, we’re seeing some really interesting benefits including reducing regression bugs, building better dev and demo schemas, rebalancing biased datasets, and even scale testing. You can even train ML models on our synthetic data, or use it for data sharing purposes. Why did you choose to build your app on Snowflake?

Data 98

Data Data Schemas Datasets Machine Learning 98

Knowledge Hut

DECEMBER 26, 2023

According to the World Economic Forum, the amount of data generated per day will reach 463 exabytes (1 exabyte = 10 9 gigabytes) globally by the year 2025. These skills are essential to collect, clean, analyze, process and manage large amounts of data to find trends and patterns in the dataset.

Data Science 97

Data Science BI Machine Learning Business Intelligence 97

Christophe Blefari

JANUARY 7, 2024

At the same time for the gov I've worked on a larger project to develop a private datalake to work datasets with on-demand RStudio and Jupyter containers. Let's more make ideas and stuff I'll be proud about in January 2025 when writing the 2024 post.

Data 130

Data SQL Python Data Engineering 130

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.

Data Integration 81

Data Integration Data Governance Government Data 81

Sync Computing

JANUARY 27, 2025

According to data from sources like Network World and, G2 the global datasphere is projected to expand from 33 zettabytes in 2018 to an astounding 175 zettabytes by 2025, reflecting a compound annual growth rate (CAGR) of 61%. For example, when processing a large dataset, you can add more EC2 worker nodes to speed up the task.

AWS 52

AWS Data Lake Big Data Machine Learning 52

AltexSoft

OCTOBER 13, 2022

By 2025, generative AI will be producing 10 percent of all data (now it’s less than 1 percent) with 20 percent of all test data for consumer-facing use cases; By 2025, generative AI will be used by 50 percent of drug discovery and development initiatives; and. is compared to the expected output (y) from the training dataset.

Algorithm 90

Algorithm Deep Learning Machine Learning Datasets 90

Data Engineering Weekly

DECEMBER 16, 2024

Together, these innovations reflect a growing industry-wide focus on tools and frameworks that process unstructured data more intelligently and cost-effectively, opening new possibilities for analyzing complex, unformatted datasets at unprecedented scales. What is ahead of us in 2025? Stay Tuned.

Data Engineering 63

Data Engineering Data Engineer Engineering Unstructured Data 63

Cloudera

NOVEMBER 15, 2021

The International Data Corporation (IDC) estimates that by 2025 the sum of all data in the world will be in the order of 175 Zettabytes (one Zettabyte is 10^21 bytes). It aims to protect AI stakeholders from the effects of biased, compromised or skewed datasets. Quantifications of data. Data scrutiny.

Unstructured Data 90

Unstructured Data Pipeline-centric Database-centric Entertainment 90

Precisely

SEPTEMBER 11, 2023

By 2025, 80% of mainstream data quality vendors will expand their product capabilities to provide greater data insights by discovering patterns, trends, data relationships, and error resolution. Problem: “We’re uncertain about compliance with privacy regulations!”

Metadata 52

Metadata Data Integration Datasets Data Analysis Tools 52

Precisely

MAY 20, 2024

Migration : Prepare for long-term cloud operations, and begin to look at look at migrating your critical datasets, like legacy systems, as you establish a cloud center of excellence. Foundation : Gradually increase your cloud presence, building a scalable and secure base for more extensive projects.

Cloud Computing 64

Cloud Computing Cloud Data Integration Project 64

ThoughtSpot

MARCH 21, 2025

Recently, we announced the launch of Spotter, our AI Analyst, which brings AI-powered insights to every user, on any question, and any dataset. Organizations have unique use cases, datasets, and requirements. This is ThoughtSpot's answer to a growing market of AI agents , and its our vision to make AI the new BI.

Google Cloud 52

Google Cloud BI Portfolio Datasets 52

Cloudera

NOVEMBER 18, 2021

Cloudera joined forces with NVIDIA to develop a new capability to accelerate Artificial Intelligence (AI) and Machine Learning (ML) operations on petabyte-scale datasets using GPUs. Failure to address this meant major implications for the IRS and the taxpayer. Industry Transformation.

Banking 77

Banking Data Lake Telecommunication Data 77

Knowledge Hut

NOVEMBER 27, 2023

In 2020, this number grew to 59 ZB and was expected to reach a whopping 175 ZB in 2025. Learn Data Analysis with Python Now that you know how to code in Python start picking toy datasets to perform analysis using Python. In 2018, the world produced 33 Zettabytes (ZB) of data, which is equivalent to 33 trillion Gigabytes (GB).

Data Science 97

Data Science Healthcare Machine Learning Algorithm 97

Data Engineering Weekly

OCTOBER 13, 2024

This solution leverages Scikit-Learn models in ONNX format, allowing efficient, SQL-based batch scoring directly in BigQuery, significantly improving scoring performance on large datasets. link] All rights reserved ProtoGrowth Inc, India. I have provided links for informational purposes and do not suggest endorsement.

Data Engineering 52

Data Engineering Data Engineer Engineering PostgreSQL 52

Edureka

FEBRUARY 12, 2025

This lets them do things like get real-time information or process datasets that are specific to a topic. Some important reasons are: 1. Integration with External Data : LangChain lets LLMs talk to APIs, databases, and other data sources.

IT 52

IT Database Google Cloud Coding 52

Knowledge Hut

DECEMBER 26, 2023

A simple usage of Business Intelligence (BI) would be enough to analyze such datasets. They analyze datasets to find trends and patterns and report the results using visualization tools. Data engineers can also create datasets using Python. It can easily integrate with Hadoop and work with large and unstructured datasets.

Data Engineering 98

Data Engineering Data Engineer Engineering Hadoop 98

ProjectPro

SEPTEMBER 27, 2021

Most companies have already adopted AI solutions into their workflow, and the global AI market value is projected to reach $190 billion by 2025. The training dataset is ready and made available for you for most of these beginner-level object detection projects. You can use the flowers recognition dataset on Kaggle to build this model.

Coding 52

Coding Project Datasets Retail 52

Striim

SEPTEMBER 4, 2024

zettabytes in 2020, and is projected to mushroom to over 180 zettabytes by 2025, according to Statista. Moreover, the concept of ‘online machine learning’ has emerged as a potential solution for organizations working with data that arrives in a continuous stream or when the dataset is too large to fit into memory. It reached 64.2

Machine Learning 52

Machine Learning Datasets Data Systems 52

ProjectPro

OCTOBER 28, 2021

If you think machine learning methods may not be of use to you, we reckon you reconsider that because, in May 2021, Gartner has revealed that about 70% of organisations will shift their focus from big to small and wide data by 2025. It simplifies complex problems by making probabilistic predictions for specific parameters in the dataset.

Machine Learning 52

Machine Learning Programming Language Datasets Python 52

Knowledge Hut

JULY 5, 2024

Hadoop and Spark: The cavalry arrived in the form of Hadoop and Spark, revolutionizing how we process and analyze large datasets. The World Economic Forum identifies data analysts and scientists as crucial roles, predicting a 15% increase in demand for such positions by 2025.

Data Engineering 52

Data Engineering Data Engineer Engineering Hadoop 52

ProjectPro

FEBRUARY 1, 2022

As per the below statistics, worldwide data is expected to reach 181 zettabytes by 2025 Source: statists 2021 “Data is the new oil. Feature Engineering — Talk about the approach you took to select the essential features and how you derived new ones by adding more meaning to the dataset flow.

Data Science 52

Data Science Datasets Banking Machine Learning 52