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

IBM Journey to AI blog

AUGUST 12, 2024

Driven by significant advancements in computing technology, everything from mobile phones to smart appliances to mass transit systems generate and digest data, creating a big data landscape that forward-thinking enterprises can leverage to drive innovation. However, the big data landscape is just that.

Big Data 106

Big Data Big Data ML ML 106

Data Science Dojo

NOVEMBER 15, 2023

Here are nine of the top AI conferences happening in North America in 2023 and 2024 that you must attend: Top AI events and conferences in North America attend in 2023 Big Data and AI TORONTO 2023: Big Data and AI Toronto is the premier event for data professionals in Canada.

Machine Learning 195

Machine Learning Machine Learning AI AI 195

Analytics Vidhya

DECEMBER 30, 2022

All these sites use some event streaming tool to monitor user activities. […]. Introduction Have you ever wondered how Instagram recommends similar kinds of reels while you are scrolling through your feed or ad recommendations for similar products that you were browsing on Amazon?

Apache Kafka 315

Apache Kafka Data Science Analytics Analytics 315

Data Science Blog

JUNE 21, 2023

Process Mining demands Big Data in 99% of the cases, releasing bad developed extraction jobs will end in big cost chunks down the value stream. Process Mining – Data Extraction The data extraction for process mining should be well planed and match the data strategy of the organization.

Big Data 130

Big Data Big Data Data Engineering Data Engineering 130

Hacker News

JULY 18, 2024

ABOUT EVENTUAL Eventual is a data platform that helps data scientists and engineers build data applications across ETL, analytics and ML/AI. OUR PRODUCT IS OPEN-SOURCE AND USED AT ENTERPRISE SCALE Our distributed data engine Daft [link] is open-sourced and runs on 800k CPU cores daily.

ML 128

ML ML Python ETL 128

ODSC - Open Data Science

JANUARY 2, 2024

We couldn’t be more excited to announce two events that will be co-located with ODSC East in Boston this April: The Data Engineering Summit and the Ai X Innovation Summit. These two co-located events represent an opportunity to dive even deeper into the topics and trends shaping these disciplines. Register for free today!

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

DataRobot Blog

SEPTEMBER 22, 2022

Next week, we’re excited to partner with industry leaders at Big Data & AI Paris, alongside a launch of a dedicated French language microsite. We will be speaking with AI leaders at Big Data & AI Paris 2022 on September 26-27 to share how DataRobot has helped to solve AI and data science challenges in top organizations.

Big Data 52

Big Data Big Data Data Science AI 52

Pickl AI

NOVEMBER 4, 2024

Summary: The fundamentals of Data Engineering encompass essential practices like data modelling, warehousing, pipelines, and integration. Understanding these concepts enables professionals to build robust systems that facilitate effective data management and insightful analysis. What is Data Engineering?

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

phData

AUGUST 11, 2023

Data engineering in healthcare is taking a giant leap forward with rapid industrial development. However, data collection and analysis have been commonplace in the healthcare sector for ages. Data Engineering in day-to-day hospital administration can help with better decision-making and patient diagnosis/prognosis.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

ODSC - Open Data Science

MAY 5, 2023

Data science and data engineering are incredibly resource intensive. By using cloud computing, you can easily address a lot of these issues, as many data science cloud options have databases on the cloud that you can access without needing to tinker with your hardware. Delta & Databricks Make This A Reality!

Data Science 52

Data Science Data Engineering Data Engineering Data Engineering 52

Mlearning.ai

MAY 16, 2023

Data engineering is a rapidly growing field that designs and develops systems that process and manage large amounts of data. There are various architectural design patterns in data engineering that are used to solve different data-related problems.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

IBM Data Science in Practice

MARCH 8, 2023

Additionally, imagine being a practitioner, such as a data scientist, data engineer, or machine learning engineer, who will have the daunting task of learning how to use a multitude of different tools. To accomplish this goal, many feature platforms leverage engines (e.g. Spark, Flink, etc.)

Machine Learning 264

Machine Learning Machine Learning ML ML 264

Data Science Dojo

JULY 3, 2024

Big Data Technologies : Handling and processing large datasets using tools like Hadoop, Spark, and cloud platforms such as AWS and Google Cloud. Data Processing and Analysis : Techniques for data cleaning, manipulation, and analysis using libraries such as Pandas and Numpy in Python.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

AWS Machine Learning Blog

FEBRUARY 21, 2025

If the question was Whats the schedule for AWS events in December?, AWS usually announces the dates for their upcoming # re:Invent event around 6-9 months in advance. Rajesh Nedunuri is a Senior Data Engineer within the Amazon Worldwide Returns and ReCommerce Data Services team.

AWS 117

AWS Natural Language Processing Machine Learning Machine Learning 117

ODSC - Open Data Science

JUNE 4, 2024

To help our data scientists, data engineers, AI practitioners and data professionals of all types stay at the forefront of their fields, this day will be dedicated to hands-on training and workshops from leading experts. You can also get data science training on-demand wherever you are with our Ai+ Training platform.

Data Science 75

Data Science Big Data Analytics Big Data Analytics Data Engineering 75

Women in Big Data

MARCH 3, 2025

The Women in Big Data initiative has been at the forefront of fostering diversity and equity in the fields of data and AI. Here’s a glimpse into how Women in Big Data is transforming careers and creating opportunities for women in technology. Career tracks in data analysis, data engineering, and data science.

Big Data 52

Big Data Big Data Data Scientist Data Analysis 52

Data Science Blog

JULY 23, 2023

Each applications has its own data model. While Data Science Applications have more raw data, BI applications get their well prepared star schema galaxy models, and Process Mining apps get normalized event logs.

Data Science 246

Data Science Azure Power BI Business Intelligence 246

IBM Journey to AI blog

NOVEMBER 3, 2023

Apache Kafka and Apache Flink working together Anyone who is familiar with the stream processing ecosystem is familiar with Apache Kafka: the de-facto enterprise standard for open-source event streaming. Apache Kafka streams get data to where it needs to go, but these capabilities are not maximized when Apache Kafka is deployed in isolation.

Apache Kafka 79

Apache Kafka Data Warehouse Data Pipeline Big Data 79

ODSC - Open Data Science

DECEMBER 19, 2023

Data Engineer Data engineers are responsible for the end-to-end process of collecting, storing, and processing data. They use their knowledge of data warehousing, data lakes, and big data technologies to build and maintain data pipelines. Interested in attending an ODSC event?

Data Scientist 96

Data Scientist Machine Learning Machine Learning AI 96

Flipboard

FEBRUARY 2, 2023

One of the challenges when building predictive models for punt and kickoff returns is the availability of very rare events — such as touchdowns — that have significant importance in the dynamics of a game. Using a robust method to accurately model distribution over extreme events is crucial for better overall performance.

Cross Validation 123

Cross Validation ML ML Machine Learning 123

Women in Big Data

MAY 21, 2024

We provided a quick overview of Women in Big Data (WiBD). Launched in 2015 and becoming a nonprofit organization in 2020, WiBD is a grassroots initiative dedicated to inspiring, connecting, and advancing women in data fields. Empowerment: Opening doors to new opportunities and advancing careers, especially for women in data.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

ODSC - Open Data Science

JANUARY 26, 2024

However, we are making a few changes, most importantly, ODSC East will feature 2 co-located summits, The Data Engineering Summit , and the Ai X Generative AI Summit. In-person attendees will have access to the Ai X Generative Summit and the Data Engineering Summit.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

ODSC - Open Data Science

MAY 7, 2024

In this episode, James Serra, author of “Deciphering Data Architectures: Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh” joins us to discuss his book and dive into the current state and possible future of data architectures. Interested in attending an ODSC event?

Data Warehouse 52

Data Warehouse Data Lakes Data Science Big Data 52

Women in Big Data

JULY 19, 2024

The Women in Big Data (WiBD) Spring Hackathon 2024, organized by WiDS and led by WiBD’s Global Hackathon Director Rupa Gangatirkar , sponsored by Gilead Sciences, offered an exciting opportunity to sharpen data science skills while addressing critical social impact challenges.

Data Science 52

Data Science Big Data Big Data Machine Learning 52

Women in Big Data

JULY 10, 2023

The Bay Area Chapter of Women in Big Data (WiBD) was thrilled to launch its 2023 Technical Talk Series with its first episode on the CyberSecurity, Threat Analysis and Career opportunities. What is the significance of developing skills in Data Science and Data Engineering which are critical to the Security domains?

Big Data 52

Big Data Big Data Data Science Data Engineering 52

ODSC - Open Data Science

AUGUST 11, 2023

You’ll learn about the 8 layers of the machine learning stack: data, compute, versioning, orchestration, software architecture, model operations, feature engineering, and model development and the tooling and workflow landscape.

Machine Learning 98

Machine Learning Machine Learning Data Science Data Scientist 98

Dataconomy

JUNE 1, 2023

In the event that the account manager tool within the app does not display an option to initiate the trial, it is possible that your organization’s tenant administration has disabled access to Fabric or trials.

Power BI 194

Power BI Data Lakes Azure Data Silos 194

AWS Machine Learning Blog

AUGUST 8, 2023

Amazon SageMaker offers several ways to run distributed data processing jobs with Apache Spark, a popular distributed computing framework for big data processing. For the SageMaker Processing job, you can configure the Spark event log location directly from the SageMaker Python SDK.

AWS 82

AWS Clustering Machine Learning Machine Learning 82

Dataconomy

JULY 25, 2023

Diverse job roles: Data science offers a wide array of job roles catering to various interests and skill sets. Some common positions include data analyst, machine learning engineer, data engineer, and business intelligence analyst. This versatility provides added job security and flexibility in career choices.

Data Science 91

Data Science Data Scientist Machine Learning Machine Learning 91

Dataconomy

MAY 2, 2023

These experts are responsible for designing and implementing machine learning algorithms and predictive models that can facilitate the efficient organization of data. The machine learning systems developed by Machine Learning Engineers are crucial components used across various big data jobs in the data processing pipeline.

ML 110

ML ML Machine Learning Machine Learning 110

The MLOps Blog

FEBRUARY 5, 2023

In the later part of this article, we will discuss its importance and how we can use machine learning for streaming data analysis with the help of a hands-on example. What is streaming data? This will also help us observe the importance of stream data. It can be used to collect, store, and process streaming data in real-time.

Machine Learning 72

Machine Learning Machine Learning Data Pipeline Apache Kafka 72

AWS Machine Learning Blog

FEBRUARY 13, 2024

Collaboration across teams – Shared features allow disparate teams like fraud, marketing, and sales to collaborate on building ML models using the same reliable data instead of creating siloed features. Audit trail for compliance – Administrators can monitor feature usage by all accounts centrally using CloudTrail event logs.

AWS 127

AWS ML ML Machine Learning 127

AWS Machine Learning Blog

DECEMBER 18, 2023

The triggers need to be scheduled to write the data to S3 at a period frequency based on the business need for training the models. Prior joining AWS, as a Data/Solution Architect he implemented many projects in Big Data domain, including several data lakes in Hadoop ecosystem.

Clustering 123

Clustering AWS Database ML 123

ODSC - Open Data Science

APRIL 4, 2024

Data Analytics in the Age of AI, When to Use RAG, Examples of Data Visualization with D3 and Vega, and ODSC East Selling Out Soon Data Analytics in the Age of AI Let’s explore the multifaceted ways in which AI is revolutionizing data analytics, making it more accessible, efficient, and insightful than ever before.

Data Visualization 52

Data Visualization Analytics Analytics Big Data Analytics 52

ODSC - Open Data Science

JULY 3, 2023

However, we are making a few changes, most importantly, ODSC West will be 4 full days of training sessions, workshops, networking events, and much more. There will also be a full-day of talks on the influence of data science and AI applications on industry at the Ai X Business and Innovation Summit.

Data Science 52

Data Science Big Data Analytics Big Data Analytics Data Engineering 52

IBM Journey to AI blog

SEPTEMBER 19, 2023

To pursue a data science career, you need a deep understanding and expansive knowledge of machine learning and AI. And you should have experience working with big data platforms such as Hadoop or Apache Spark. Data scientists will typically perform data analytics when collecting, cleaning and evaluating data.

Data Science 94

Data Science Analytics Analytics Data Scientist 94