Pickl AI

APRIL 21, 2025

Summary: Big Data refers to the vast volumes of structured and unstructured data generated at high speed, requiring specialized tools for storage and processing. Data Science, on the other hand, uses scientific methods and algorithms to analyses this data, extract insights, and inform decisions.

Big Data 52

Big Data Big Data Data Science Machine Learning 52

Women in Big Data

JUNE 16, 2025

Still feeling inspired after Women in Big Data NRW x Thoughtworks event in Cologne in May’25! A big thank you to our incredible speakers, our fantastic hosts Eylem B. & The post Women in Big Data NRW x Thoughtworks event first appeared on Women in Big Data.

Big Data 52

Big Data Big Data Data Modeling Data Models 52

Dataconomy

JULY 2, 2025

Related topics in streaming data architecture Several related topics offer further insights into streaming data architecture. The role of real-time streaming in big data analytics Understanding how streaming data can accelerate analytical capabilities in big data environments is crucial for leveraging its benefits.

Big Data 91

Big Data Big Data Big Data Analytics Big Data Analytics 91

Women in Big Data

MAY 23, 2025

The Women in Big Data Bay Area Lightning Talks are a must-attend for professionals seeking cutting-edge insights, technical deep dives, and real-world expertise from industry leaders. The post Women in Big Data Bay Area Lightning Talks first appeared on Women in Big Data. Join us for the next one!

Big Data 52

Big Data Big Data Data Quality ML 52

Women in Big Data

JULY 18, 2025

Authentic Storytelling: Our panelists – Meyyar Palaniappan , Karolina Stosio , Aynur Sune and Aulona Shabani , – opened up about their real experiences navigating Big Data and GenAI. The post Netlight CodePub x Women in Big Data Munich: A Night to Remember! first appeared on Women in Big Data.

Big Data 52

Big Data Big Data AI AI 52

Data Science Dojo

OCTOBER 31, 2024

The rise of big data technologies and the need for data governance further enhance the growth prospects in this field. Machine Learning Engineer Description Machine Learning Engineers are responsible for designing, building, and deploying machine learning models that enable organizations to make data-driven decisions.

Data Science 195

Data Science Data Scientist Machine Learning Machine Learning 195

Dataconomy

JUNE 10, 2025

Retail analytics In retail, analytics forecast consumer behavior, optimizing inventory and sales strategies based on data-driven insights. Machine learning Machine learning implements algorithms that automate data analysis processes, enhancing the speed and accuracy of insights.

Analytics 91

Analytics Analytics Big Data Analytics Big Data Analytics 91

Women in Big Data

NOVEMBER 23, 2024

On November 12th, Women in Big Data Paris and Le Wagon joined forces to orchestrate an enlightening round table focused on successful career transitions into data. The post Women in Big Data Paris: An inspiring Round Table on Data Career Transitions first appeared on Women in Big Data.

Big Data 52

Big Data Big Data 52

Dataversity

JANUARY 31, 2025

By structuring data by dimensions and measures, OLAP allows for intuitive and immediate slicing, dicing, and pivoting to interactively answer critical business questions. The […] The post Modern OLAP: From Static Beginnings to a Big Data Renaissance appeared first on DATAVERSITY.

Big Data 52

Big Data Big Data Analytics Analytics 52

Smart Data Collective

JUNE 16, 2025

He is passionate about covering topics like big data, business intelligence, startups & entrepreneurship. Artificial Intelligence for eCommerce: A Closer Look Artificial Intelligence How To Get An Award Winning Giveaway Bot Big Data Chatbots Exclusive Quick Link About Contact Privacy Follow US © 2008-25 SmartData Collective.

Business Intelligence 84

Business Intelligence Business Intelligence Big Data Big Data 84

Smart Data Collective

JULY 20, 2025

More Read 5 Reasons Data-Savvy Accountants Are Becoming Vital to Businesses Here Are The Most Important Ways To Ensure Customer Data Protection Blasphemy? The growing need for big data is another. All Rights Reserved. There are over 1,897,100 software engineers in the U.S. Followers Like 33.7k Followers Like 33.7k

Artificial Intelligence 102

Artificial Intelligence Artificial Intelligence Big Data Big Data 102

Women in Big Data

JULY 18, 2025

Each mentee had the opportunity to connect with three mentors, gaining personalized insights on careers in Big Data, AI, and Data Science. Also, here is thorough note by Meyyar Palaniappan : Thank you Women in Big Data Poland – Aga Swiatowa for the exciting and smoothly executed (well-done Marta!)

Big Data 52

Big Data Big Data Data Science AWS 52

Flipboard

NOVEMBER 27, 2024

His role is to help customers architect big data solutions to process data at scale. Before AWS, he helped Amazon.com Supply Chain Optimization Technologies migrate its Oracle data warehouse to Amazon Redshift and build its next generation big data analytics platform using AWS technologies.

ETL 138

ETL Data Warehouse Analytics Analytics 138

Pickl AI

OCTOBER 27, 2024

Strong Career Prospects The future looks bright for Data Scientists in India. The market for big data is projected to reach $3.38 With an expected 11 million new job openings by 2026, pursuing a Data Science course can significantly enhance your employability and career trajectory.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Dataconomy

JULY 3, 2025

With the rise of big data, text mining becomes crucial for any entity looking to stay competitive. Text mining, often known as text analytics, refers to the process of extracting valuable information from unstructured text data. What is text mining?

Data Preparation 91

Data Preparation Deep Learning Deep Learning Natural Language Processing 91

Dataconomy

JUNE 30, 2025

Google BigQuery stands out as a leading force in the realm of big data analytics, harnessing the power of the cloud to provide organizations with the tools they need to process and analyze vast amounts of data efficiently. What is Google BigQuery?

Apache Hadoop 91

Apache Hadoop Big Data Analytics Big Data Analytics Big Data 91

Dataconomy

JUNE 17, 2025

Risks of data loss or corruption: Real-time handling can lead to errors. Storage overhead: Requires additional solutions like data lakes and warehouses. Data streaming and big data Data streaming plays a vital role in the realm of big data, integrating seamlessly with various data analytics tools.

Cloud Computing 91

Cloud Computing Internet of Things Big Data Big Data 91

Dataconomy

JUNE 18, 2025

Extract, Transform, Load (ETL) The ETL process involves extracting data from various sources, transforming it into a suitable format, and loading it into data warehouses, typically utilizing batch processing. This approach allows organizations to work with large volumes of data efficiently.

Data Warehouse 91

Data Warehouse Data Silos ETL Big Data 91

Pickl AI

JUNE 8, 2025

Automation of Big Data Analytics Automation is transforming data science operations through Analytic Process Automation (APA), which combines predictive and prescriptive analytics with automated workflows. What is the Data Science Trend in 2025?

Data Science 52

Data Science Augmented Analytics Machine Learning Machine Learning 52

Pickl AI

JUNE 5, 2025

Below is an example using scipy: This code clusters the data points, visualizes the hierarchical structure, and assigns cluster labels, demonstrating practical hierarchical clustering in Python. These innovations make hierarchical clustering viable for big data applications, preserving interpretability while improving efficiency.

Clustering 52

Clustering Machine Learning Machine Learning Exploratory Data Analysis 52

Pickl AI

DECEMBER 26, 2024

Summary: “Data Science in a Cloud World” highlights how cloud computing transforms Data Science by providing scalable, cost-effective solutions for big data, Machine Learning, and real-time analytics. This accessibility democratises Data Science, making it available to businesses of all sizes.

Data Science 52

Data Science Cloud Computing Machine Learning Machine Learning 52

Pickl AI

JUNE 5, 2025

Key Takeaways Data scientists in India require strong programming and machine learning skills for diverse industries. Big data and cloud technologies are increasingly important in Indian data science roles. Data scientists in India use a broad toolkit tailored to local industry needs: Programming: Python, R, SQL.

Data Scientist 52

Data Scientist Data Science Power BI Machine Learning 52

Pickl AI

OCTOBER 29, 2024

According to a report by McKinsey, companies that harness data effectively can increase their operating margins by 60% and boost productivity by up to 20%. Furthermore, a survey by Gartner revealed that 87% of organisations view data as a critical asset for achieving their business objectives.

Data Science 52

Data Science Machine Learning Machine Learning Predictive Analytics 52

ODSC - Open Data Science

NOVEMBER 29, 2024

AI’s ability to automate and optimize data management processes not only secures data governance but also builds confidence among stakeholders and clients in your organization’s data handling capabilities. He enjoys writing about SaaS, AI, machine learning, analytics, and Big Data.

Data Governance 40

Data Governance AI AI Predictive Analytics 40

Dataconomy

JUNE 12, 2025

Technical skills Proficiency in programming languages: Familiarity with languages like C#, Java, Python, R, Ruby, Scala, and SQL is essential for building data solutions. Familiarity with ETL tools and data warehousing concepts: Knowledge of tools designed to extract, transform, and load data is crucial.

Data Engineering 91

Data Engineering Data Engineering Data Engineering Data Engineer 91

AWS Machine Learning Blog

NOVEMBER 20, 2024

She has experience across analytics, big data, ETL, cloud operations, and cloud infrastructure management. Data Engineer at Amazon Ads. He builds and manages data-driven solutions for recommendation systems, working together with a diverse and talented team of scientists, engineers, and product managers.

Database 111

Database AWS SQL ETL 111

Dataconomy

JULY 7, 2025

Hadoop systems Hadoop has gained traction as a foundational technology for building data lakes. With its ability to handle large volumes of data across distributed systems, it is especially suited for big data analytics. These cloud object storage systems offer enhanced accessibility and scalability.

Data Lakes 91

Data Lakes Data Warehouse Hadoop Analytics 91

Precisely

JANUARY 9, 2025

Then came Big Data and Hadoop! The traditional data warehouse was chugging along nicely for a good two decades until, in the mid to late 2000s, enterprise data hit a brick wall. The big data boom was born, and Hadoop was its poster child.

Data Warehouse 119

Data Warehouse Hadoop Data Lakes Data Governance 119

Smart Data Collective

JULY 16, 2025

Reading: Turning Data Into Decisions: How Analytics Improves Transportation Strategy Share Notification Font Resizer Aa Font Resizer Aa Search About Help Privacy Follow US © 2008-23 SmartData Collective. Andrej Kovacevic 3 Min Read Licensed Photo from Microsoft Stock Images SHARE Transportation networks generate a constant stream of data.

Analytics 68

Analytics Analytics Big Data Big Data 68

IBM Data Science in Practice

APRIL 7, 2025

Graceful External Termination: Handling Pod Deletions in Kubernetes Data Ingestion and Streaming Jobs When running big-data pipelines in Kubernetes, especially streaming jobs, its easy to overlook how these jobs deal with termination. What happens when a user or system administrator needs to kill a job mid-execution?

Python 130

Python ETL Data Pipeline Big Data 130

Dataconomy

MARCH 5, 2025

Data scientists can run complex simulations and large-scale analyses efficiently, which is crucial for deriving meaningful insights from big data. Cost-effective data storage Scalable storage solutions integrated within data science platforms allow organizations to handle large datasets while maintaining cost-effectiveness.

Data Science 91

Data Science Data Scientist Machine Learning Machine Learning 91

Flipboard

NOVEMBER 22, 2024

He is passionate about building secure, scalable, reliable AI/ML and big data solutions to help enterprise customers with their cloud adoption and optimization journey to improve their business outcomes. He has over 3 decades of experience architecting and building distributed, hybrid, and cloud applications.

Data Governance 132

Data Governance ML ML Data Lakes 132

Smart Data Collective

JUNE 11, 2025

Reading: Monitoring Data Without Turning into Big Brother Share Notification Font Resizer Aa Font Resizer Aa Search About Help Privacy Follow US © 2008-23 SmartData Collective. Alex Blackwell 10 Min Read AI-Generated Image from Google Labs SHARE Data monitoring is no longer optional for large-scale digital systems.

Big Data 68

Big Data Big Data Analytics Analytics 68

Dataconomy

JUNE 13, 2025

Implications of data gravity The implications of data gravity are multifaceted, with both positive and negative effects on organizations. Positive effects One of the most notable benefits of data gravity is the enhancement of analytics capabilities. Negative effects However, growing data volumes can also introduce challenges.

Data Lakes 91

Data Lakes Internet of Things Big Data Big Data 91

Women in Big Data

JUNE 6, 2025

We extend our sincere gratitude to WiBD for orchestrating this transformative learning experience and providing a platform that seamlessly bridges theoretical knowledge with practical implementation in Data Science and Machine Learning. The post Winter Hackathon 2025 – Team DataDivas first appeared on Women in Big Data.

Machine Learning 52

Machine Learning Machine Learning Exploratory Data Analysis Data Science 52

Dataconomy

JUNE 19, 2025

Business skills Important business skills for data architects include: Translating business requirements: Developing effective data collection frameworks that align with company goals. Managing data analytics: Understanding how analytics can drive business decisions. Technical skills Technical proficiency is equally crucial.

Data Engineering 91

Data Engineering Data Engineering Data Engineer Data Engineering 91

ODSC - Open Data Science

OCTOBER 28, 2024

Information is often more digestible in a graph or chart than in a spreadsheet — especially when big data is involved. Eliminating Synthetic Identity Fraud With Data Science Information like Social Security numbers is easily leaked, yet access controls and authentication measures are lacking.

Data Science 52

Data Science Decision Trees Machine Learning Machine Learning 52