IBM Journey to AI blog

APRIL 25, 2023

We also made the case that query and reporting, provided by big data engines such as Presto, need to work with the Spark infrastructure framework to support advanced analytics and complex enterprise data decision-making. To do so, Presto and Spark need to readily work with existing and modern data warehouse infrastructures.

Data Warehouse 58

Data Warehouse Data Engineer Data Engineering Data Engineering 58

ODSC - Open Data Science

FEBRUARY 6, 2024

Data engineering has become an integral part of the modern tech landscape, driving advancements and efficiencies across industries. So let’s explore the world of open-source tools for data engineers, shedding light on how these resources are shaping the future of data handling, processing, and visualization.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

ODSC - Open Data Science

JANUARY 18, 2024

Data engineering is a rapidly growing field, and there is a high demand for skilled data engineers. If you are a data scientist, you may be wondering if you can transition into data engineering. In this blog post, we will discuss how you can become a data engineer if you are a data scientist.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

Pickl AI

JULY 25, 2023

Unfolding the difference between data engineer, data scientist, and data analyst. Data engineers are essential professionals responsible for designing, constructing, and maintaining an organization’s data infrastructure. Read more to know.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

ODSC - Open Data Science

FEBRUARY 15, 2024

We couldn’t be more excited to announce the first sessions for our second annual Data Engineering Summit , co-located with ODSC East this April. Join us for 2 days of talks and panels from leading experts and data engineering pioneers. Is Gen AI A Data Engineering or Software Engineering Problem?

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

Dataconomy

JUNE 1, 2023

By automating the integration of all Fabric workloads into OneLake, Microsoft eliminates the need for developers, analysts, and business users to create their own data silos. This approach not only improves performance by eliminating the need for separate data warehouses but also results in substantial cost savings for customers.

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ODSC - Open Data Science

APRIL 25, 2025

EvolvabilityIts Mostly About Data Contracts Editors note: Elliott Cordo is a speaker for ODSC East this May 1315! Be sure to check out his talk, Enabling Evolutionary Architecture in Data Engineering , there to learn about data contracts and plentymore.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

IBM Journey to AI blog

OCTOBER 22, 2024

Data is the differentiator as business leaders look to utilize their competitive edge as they implement generative AI (gen AI). Leaders feel the pressure to infuse their processes with artificial intelligence (AI) and are looking for ways to harness the insights in their data platforms to fuel this movement.

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Data Silos Data Pipeline DataOps Business Intelligence 102

IBM Journey to AI blog

OCTOBER 16, 2023

Artificial intelligence (AI) adoption is still in its early stages. The Stanford Institute for Human-Centered Artificial Intelligence’s Center for Research on Foundation Models (CRFM) recently outlined the many risks of foundation models, as well as opportunities. Trustworthiness is critical.

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AWS Machine Learning Blog

SEPTEMBER 18, 2024

The ZMP analyzes billions of structured and unstructured data points to predict consumer intent by using sophisticated artificial intelligence (AI) to personalize experiences at scale. Additionally, Feast promotes feature reuse, so the time spent on data preparation is reduced greatly.

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Pickl AI

OCTOBER 17, 2024

Introduction ETL plays a crucial role in Data Management. This process enables organisations to gather data from various sources, transform it into a usable format, and load it into data warehouses or databases for analysis. Loading The transformed data is loaded into the target destination, such as a data warehouse.

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ETL Data Warehouse Data Quality Data Governance 52

Alation

JANUARY 17, 2023

The modern data stack is a combination of various software tools used to collect, process, and store data on a well-integrated cloud-based data platform. It is known to have benefits in handling data due to its robustness, speed, and scalability. A typical modern data stack consists of the following: A data warehouse.

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Data Warehouse ETL Tableau Cloud Data 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.

Data Warehouse 52

Data Warehouse Data Lakes Data Science Big Data 52

IBM Journey to AI blog

SEPTEMBER 19, 2023

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

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Data Science Analytics Analytics Data Scientist 94

AWS Machine Learning Blog

NOVEMBER 1, 2023

Jeff Newburn is a Senior Software Engineering Manager leading the Data Engineering team at Logikcull – A Reveal Technology. He oversees the company’s data initiatives, including data warehouses, visualizations, analytics, and machine learning. Outside of work, he enjoys playing lawn tennis and reading books.

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AWS Machine Learning Machine Learning ML 125

IBM Journey to AI blog

DECEMBER 7, 2023

Online analytical processing (OLAP) database systems and artificial intelligence (AI) complement each other and can help enhance data analysis and decision-making when used in tandem. Today, OLAP database systems have become comprehensive and integrated data analytics platforms, addressing the diverse needs of modern businesses.

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Data Preparation Database Data Analysis Data Analysis 72

IBM Journey to AI blog

JULY 17, 2023

Within watsonx.ai, users can take advantage of open-source frameworks like PyTorch, TensorFlow and scikit-learn alongside IBM’s entire machine learning and data science toolkit and its ecosystem tools for code-based and visual data science capabilities.

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AI AI Machine Learning Machine Learning 74

IBM Journey to AI blog

JULY 27, 2023

Artificial intelligence is disrupting many different areas of business. Powering a knowledge management system with a data lakehouse Organizations need a data lakehouse to target data challenges that come with deploying an AI-powered knowledge management system. A data lakehouse is a fit-for-purpose data store.

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AI AI Data Scientist Data Quality 69

phData

JULY 18, 2023

With the birth of cloud data warehouses, data applications, and generative AI , processing large volumes of data faster and cheaper is more approachable and desired than ever. First up, let’s dive into the foundation of every Modern Data Stack, a cloud-based data warehouse.

Data Warehouse 52

Data Warehouse Analytics Analytics Cloud Data 52

ODSC - Open Data Science

JUNE 7, 2023

Data has to be stored somewhere. Data warehouses are repositories for your cleaned, processed data, but what about all that unstructured data your organization is starting to notice? What is a data lake? Snowflake Snowflake is a cross-cloud platform that looks to break down data silos.

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Data Lakes Azure Data Warehouse Hadoop 52

AWS Machine Learning Blog

OCTOBER 9, 2024

Using Amazon Redshift ML for anomaly detection Amazon Redshift ML makes it easy to create, train, and apply machine learning models using familiar SQL commands in Amazon Redshift data warehouses. To learn more, see the documentation.

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ODSC - Open Data Science

FEBRUARY 19, 2025

Well according to Brij Kishore Pandey, it stands for Extract, Transform, Load and is a fundamental process in data engineering, ensuring data moves efficiently from raw sources to structured storage for analysis. The stepsinclude: Extraction : Data is collected from multiple sources (databases, APIs, flatfiles).

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ETL AI AI Data Warehouse 52

Alation

MAY 16, 2023

This makes it easier to compare and contrast information and provides organizations with a unified view of their data. Machine Learning Data pipelines feed all the necessary data into machine learning algorithms, thereby making this branch of Artificial Intelligence (AI) possible.

Data Pipeline 69

Data Pipeline Data Governance Data Lakes Data Warehouse 69

ODSC - Open Data Science

OCTOBER 7, 2024

There you’ll hear from Ivan Nardini, Developer Relations Engineer at Google Cloud and discover the latest advancements in AI and learn how to leverage Google Cloud’s powerful tools and infrastructure to drive innovation in your organization.

Data Scientist 52

Data Scientist Data Science Machine Learning Machine Learning 52

IBM Journey to AI blog

JULY 6, 2023

Data science solves a business problem by understanding the problem, knowing the data that’s required, and analyzing the data to help solve the real-world problem. Machine learning (ML) is a subset of artificial intelligence (AI) that focuses on learning from what the data science comes up with.

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Machine Learning Machine Learning Data Science Big Data 70

IBM Journey to AI blog

MARCH 14, 2024

Businesses face significant hurdles when preparing data for artificial intelligence (AI) applications. The existence of data silos and duplication, alongside apprehensions regarding data quality, presents a multifaceted environment for organizations to manage.

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AWS Database ETL AI 93

IBM Journey to AI blog

OCTOBER 2, 2024

Inconsistent data quality: The uncertainty surrounding the accuracy, consistency and reliability of data pulled from various sources can lead to risks in analysis and reporting. These products are curated with key attributes such as business domain, access level, delivery methods, recommended usage and data contracts.

Business Intelligence 58

Business Intelligence Business Intelligence Power BI Data Quality 58

ODSC - Open Data Science

APRIL 4, 2024

ODSC Highlights Announcing the Keynote and Featured Speakers for ODSC East 2024 The keynotes and featured speakers for ODSC East 2024 have won numerous awards, authored books and widely cited papers, and shaped the future of data science and AI with their research. Learn more about them here!

Data Visualization 52

Data Visualization Analytics Analytics Big Data Analytics 52

Alation

MAY 16, 2023

This makes it easier to compare and contrast information and provides organizations with a unified view of their data. Machine Learning Data pipelines feed all the necessary data into machine learning algorithms, thereby making this branch of Artificial Intelligence (AI) possible.

Data Pipeline 40

Data Pipeline Data Governance Data Lakes Data Warehouse 40

Snorkel AI

MAY 26, 2023

[link] Ahmad Khan, head of artificial intelligence and machine learning strategy at Snowflake gave a presentation entitled “Scalable SQL + Python ML Pipelines in the Cloud” about his company’s Snowpark service at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022.

SQL 52

SQL ML ML Python 52

Snorkel AI

MAY 26, 2023

[link] Ahmad Khan, head of artificial intelligence and machine learning strategy at Snowflake gave a presentation entitled “Scalable SQL + Python ML Pipelines in the Cloud” about his company’s Snowpark service at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022.

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SQL ML ML Python 52

O'Reilly Media

APRIL 17, 2025

How do you engineer systems around it? 9:56 : You might also have a data engineering team that uses this and turns PDF files into something like a data warehouse that people can query. Theyll run it until there are no new insights to be gleaned. When is nondeterminism a problem?

AI 52

AI AI Data Warehouse Data Pipeline 52

Pickl AI

SEPTEMBER 5, 2024

Data Preparation: Cleaning, transforming, and preparing data for analysis and modelling. Collaborating with Teams: Working with data engineers, analysts, and stakeholders to ensure data solutions meet business needs.

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Azure Data Scientist Data Science Machine Learning 52

DagsHub

JANUARY 27, 2025

It enables efficient active learning by iteratively selecting the most valuable data points for labeling, reducing manual effort while improving model performance.  This   LabelBox LabelBox is an AI-powered data engine platform that supports text annotation along with other data types.

Machine Learning 52

Machine Learning Machine Learning Natural Language Processing Supervised Learning 52

DagsHub

JANUARY 27, 2025

It enables efficient active learning by iteratively selecting the most valuable data points for labeling, reducing manual effort while improving model performance.  This   LabelBox LabelBox is an AI-powered data engine platform that supports text annotation along with other data types.

Machine Learning 52

Machine Learning Machine Learning Natural Language Processing Supervised Learning 52

Data Science Blog

MARCH 3, 2023

der Aufbau einer Datenplattform, vielleicht ein Data Warehouse zur Datenkonsolidierung, Process Mining zur Prozessanalyse oder Predictive Analytics für den Aufbau eines bestimmten Vorhersagesystems, KI zur Anomalieerkennung oder je nach Ziel etwas ganz anderes. Es gibt aber viele junge Leute, die da gerne einsteigen wollen.

Data Warehouse 147

Data Warehouse Data Lakes Data Engineering Data Engineering 147

Flipboard

MAY 15, 2025

These organizations have a huge demand for lakehouse solutions that combine the best of data warehouses and data lakes to simplify data management with easy access to all data from their preferred engines. Amazon SageMaker Unified Studio , Amazon EMR 7.5.0 and higher, and AWS Glue 5.0

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AWS SQL Data Lakes Data Warehouse 124