Data Engineering Weekly

OCTOBER 11, 2024

This next phase, the AI-Native Data Stack , will fundamentally alter how we build, maintain, and scale data systems. To understand this evolution, let's draw parallels from a seemingly unrelated field—manufacturing—and its historical transformation. What do they have in common? Tools like cursor.ai

Manufacturing 110

Manufacturing Transportation Data Warehouse Unstructured Data 110

Snowflake

JANUARY 26, 2023

Accessing data from the manufacturing shop floor is one of the key topics of interest with the majority of cloud platform vendors due to the pace of Industry 4.0 also known as the Fourth Industrial Revolution, refers to the emerging trend of technological transformation in manufacturing and related industries. Industry 4.0,

Data Ingestion 52

Data Ingestion Manufacturing Unstructured Data Architecture 52

Snowflake

FEBRUARY 6, 2024

An end-user-facing data catalog or marketplace can improve discoverability and access. Transform unstructured data to expand available internal data. To ensure that all data is made available, organizations must adopt tools to transform unstructured data into usable formats.

Unstructured Data 127

Unstructured Data Retail Data Manufacturing 127

RandomTrees

OCTOBER 9, 2024

Today’s manufacturing landscape is truly on a whole new level, and getting perfection has never been more intense. This is where Generative Artificial Intelligence, simply known as GenAI, comes in and is currently being used to transform quality assurance in manufacturing processes.

Manufacturing 52

Manufacturing Electronics Unstructured Data Utilities 52

Cloudera

JUNE 11, 2024

By leveraging an organization’s proprietary data, GenAI models can produce highly relevant and customized outputs that align with the business’s specific needs and objectives. Structured data is highly organized and formatted in a way that makes it easily searchable in databases and data warehouses.

Unstructured Data 93

Unstructured Data Pharmaceutical Banking Manufacturing 93

Cloudera

FEBRUARY 8, 2021

Micheal Ger, Managing Director Manufacturing & Automotive at Cloudera summed up it best with the insight, “Imparting intelligence into connected cars is complex – involving hardware, software, and deep domain expertise. connected manufacturing, and connected vehicles, see more of his perspective at [link]. challenges.

Manufacturing 108

Manufacturing Machine Learning Data Ingestion Electronics 108

Snowflake

JULY 10, 2023

“California Air Resources Board has been exploring processing atmospheric data delivered from four different remote locations via instruments that produce netCDF files. Previously, working with these large and complex files would require a unique set of tools, creating data silos. ” U.S.

Unstructured Data 40

Unstructured Data Python Process Scala 40

Edureka

JUNE 7, 2024

paintings, songs, code) Historical data relevant to the prediction task (e.g., Deep Learning Models Deep learning models are particularly adept at extracting insights from unstructured data like images, text, and audio. Predictive AI models can process this sensor data to predict potential failures before they take shape.

Deep Learning 114

Deep Learning Media Algorithm Manufacturing 114

Snowflake

APRIL 8, 2024

The solution ingests, transforms and centralizes large volumes of operations data from disparate systems and applies AI and ML to deliver advanced optimizations, insights and analyses that help teams improve invoice reconciliation and catch 3PL/freight billing errors.

Pipeline-centric 131

Pipeline-centric Food Healthcare Unstructured Data 131

Snowflake

DECEMBER 11, 2024

Its not that they dont know what to do they could list a number of initiatives or use cases that would benefit from insights from their data or to which they could apply AI. At Snowflake Summit this summer, an executive from a major manufacturing company reflected wistfully, If we only knew what we knew. Is the data available?

Manufacturing 96

Manufacturing Electronics Unstructured Data Project 96

Snowflake

JULY 13, 2023

Snowflake is democratizing access to data and intelligence with AI and large language models (LLMs). Manufacturing “In today’s rapidly evolving manufacturing landscape, there’s an evident shift towards making every aspect of the production process smarter and more efficient. Watch the session.

Entertainment 79

Entertainment Retail Manufacturing Media 79

Snowflake

MAY 9, 2024

It started when one capable model suited for text gained mainstream attention, and now, less than 18 months later, there is a long list of commercial and open-source gen AI models are now available, alongside new multimodal models that also understand images and other unstructured data.

Unstructured Data 121

Unstructured Data Manufacturing Retail Data Warehouse 121

Cloudera

OCTOBER 28, 2021

There is a wealth of data now available to make this possible. For example, the types of data sourced from other industries that we can use in the underwriting process include: Manufacturing – sensors (for quality, safety and maintenance-related). Another example is fleet management.

Insurance 97

Insurance Transportation Unstructured Data Manufacturing 97

Cloudera

APRIL 20, 2021

Streaming Analytics can be used in many industries: Healthcare: Monitoring hospital patients to get the latest and most actionable data to inform patient interactions better. Manufacturing: Process millions of messages per minute from IoT devices and sensor data and use ML models to enhance the speed of production.

Kafka 95

Kafka Hospitality Retail Data Ingestion 95

Cloudera

DECEMBER 11, 2020

Without meeting GxP compliance, the Merck KGaA team could not run the enterprise data lake needed to store, curate, or process the data required to inform business decisions. It established a data governance framework within its enterprise data lake. Underpinning everything with security and governance.

Data Lake 98

Data Lake Government Data Security Unstructured Data 98

Snowflake

DECEMBER 14, 2023

At a global specialty food manufacturer, the data team went on a sleuthing mission to uncover the use of ChatGPT by monitoring network traffic. He copied the text of each proposal into ChatGPT and asked for a 2-3 sentence summary. And, that’s how its use is entering organizations today, particularly with that demographic.

Pharmaceutical 122

Pharmaceutical Food Government Transportation 122

DoorDash Engineering

APRIL 23, 2024

As our catalog expands, we seek new approaches driven by machine learning to auto-enrich SKU data. Extracting attribute-value information from unstructured data is formally known as named-entity recognition ; most recent approaches model the extraction task as a token classification.

Building 91

Building Retail Manufacturing Unstructured Data 91

Snowflake

APRIL 10, 2023

The platform pushes the boundaries of natural language processing (NLP) with a diverse, rapidly expanding (and almost limitless) number of use cases that extends from automotive manufacturing and chemicals to HR, insurance, legal, finance, and government. From there, we can process information not unlike how humans do.

Unstructured Data 59

Unstructured Data Manufacturing Insurance Government 59

Knowledge Hut

APRIL 26, 2024

Tons and tons of data are being generated each day and organizations have realized the vast potential that this data holds in terms of fueling innovation and predicting market trends and customer preferences. ML is used in these fields as a tool for predictions of sales forecasting, business growth, goods sold, manufacturing etc.

Machine Learning 98

Machine Learning Datasets Deep Learning Finance 98

Cloudera

SEPTEMBER 15, 2022

There are also newer AI/ML applications that need data storage, optimized for unstructured data using developer friendly paradigms like Python Boto API. Manufacturing, where the data they generate can provide new business opportunities like predictive maintenance in addition to improving their operational efficiency.

Systems 87

Systems Hadoop Metadata Telecommunication 87

AltexSoft

MAY 12, 2022

Aiming at understanding sound data, it applies a range of technologies, including state-of-the-art deep learning algorithms. Audio analysis has already gained broad adoption in various industries, from entertainment to healthcare to manufacturing. Audio data file formats. Below we’ll give most popular use cases.

Machine Learning 122

Machine Learning Building Deep Learning Healthcare 122

Cloudera

DECEMBER 3, 2020

A lot of the traditional in-person methods used for gathering data in insurance are now impossible and new ways of capturing data remotely are being implemented. The data being captured in forms of structured and unstructured data can unlock new insights.

Insurance 53

Insurance Unstructured Data Healthcare Manufacturing 53

Cloudera

JUNE 4, 2018

That’s the equivalent of 1 petabyte ( ComputerWeekly ) – the amount of unstructured data available within our large pharmaceutical client’s business. Then imagine the insights that are locked in that massive amount of data. By use case: content may also support multiple research and drug manufacturing use cases.

Pharmaceutical 46

Pharmaceutical Unstructured Data Electronics Metadata 46

Knowledge Hut

DECEMBER 26, 2023

Importance of Big Data Companies Big Data is intricate and can be challenging to access and manage because data often arrives quickly in ever-increasing amounts. Both structured and unstructured data may be present in this data. Microsoft's Big Data strategy is broad and expanding rapidly.

Big Data 52

Big Data Unstructured Data Amazon Web Services Hadoop 52

Knowledge Hut

APRIL 25, 2024

Big data vs machine learning is indispensable, and it is crucial to effectively discern their dissimilarities to harness their potential. Big Data vs Machine Learning Big data and machine learning serve distinct purposes in the realm of data analysis. It focuses on collecting, storing, and processing extensive datasets.

Machine Learning 52

Machine Learning Big Data Unstructured Data Data Mining 52

Monte Carlo

JANUARY 16, 2024

Data lake and data warehouse convergence The data lake vs data warehouse question is constantly evolving. The maxim that data warehouses hold structured data while data lakes hold unstructured data is quickly breaking down.

Data Lake 52

Data Lake Data Warehouse Unstructured Data AWS 52

ProjectPro

DECEMBER 1, 2017

The demand for hadoop in managing huge amounts of unstructured data has become a major trend catalyzing the demand for various social BI tools. Source : [link] ) For the complete list of big data companies and their salaries- CLICK HERE Hadoop Market Opportunities, Scope, Business Overview and Forecasts to 2022.OpenPR.com,

Hadoop 52

Hadoop Medical Unstructured Data Big Data 52

Precisely

MARCH 27, 2023

Transforming Go-to-Market After years of acquiring and integrating smaller companies, a $37 billion multinational manufacturer of confectionery, pet food, and other food products was struggling with complex and largely disparate processes, systems, and data models that needed to be normalized.

Consulting 52

Consulting Food Pharmaceutical Data Lake 52

Knowledge Hut

JULY 26, 2023

Users can use commands or user-friendly graphical interfaces to create, update, delete, and retrieve data from the database. They are used in a wide range of businesses and areas, including banking, healthcare, e-commerce, and manufacturing. Cloud-based databases provide flexibility, scalability, and cost-effectiveness.

Database 52

Database NoSQL MongoDB Telecommunication 52

Knowledge Hut

NOVEMBER 20, 2023

Automation is more prevalent in the manufacturing, administrative, logistics, and optimization industries. Robotic process automation (RPA), data entry, manufacturing, etc. Artificial Intelligence AI systems are adept at mimicking human intelligence, be it problem-solving, understanding complex data, reasoning, or learning.

Manufacturing 52

Manufacturing Pharmaceutical Healthcare Finance 52

Precisely

OCTOBER 10, 2024

The goal of data democratization is to enable a free flow of information that powers business agility – allowing anyone in an organization to access and use data to make informed decisions without barriers. When data is made widely available across departments, it can drive innovation and operational excellence.

Data Governance 52

Data Governance Government Data Unstructured Data 52

Monte Carlo

FEBRUARY 21, 2023

A data fabric isn’t a standalone technology—it’s a data management architecture that leverages an integrated data layer atop underlying data in order to empower business leaders with real-time analytics and data-driven insights.

Data Architecture 52

Data Architecture Architecture Metadata Unstructured Data 52

Monte Carlo

FEBRUARY 21, 2023

A data fabric isn’t a standalone technology—it’s a data management architecture that leverages an integrated data layer atop underlying data in order to empower business leaders with real-time analytics and data-driven insights.

Data Architecture 52

Data Architecture Architecture Metadata Unstructured Data 52

Knowledge Hut

DECEMBER 26, 2023

Analyzing and organizing raw data Raw data is unstructured data consisting of texts, images, audio, and videos such as PDFs and voice transcripts. The job of a data engineer is to develop models using machine learning to scan, label and organize this unstructured data.

Data Engineer 98

Data Engineer Data Engineering Engineering Hadoop 98

Knowledge Hut

APRIL 23, 2024

Targeted Marketing & Campaigns: Big data gives telecom companies the ability to divide up their client base, analyze the use patterns and demographic information, and create personalized marketing campaigns and offers that will boost customer acquisition and retention.

Big Data 52

Big Data Recruitment Retail Transportation 52

Knowledge Hut

APRIL 25, 2024

Variety: Unstructured data, semi-structured data, and raw data are only a few examples of the variety of data kinds that exist. Based on data about which product is being searched for/sold most frequently, manufacturing and collection rates for that product are fixed.

Big Data 52

Big Data Data Analytics Manufacturing Retail 52

Knowledge Hut

MARCH 7, 2024

Factors Considered for Selecting the Best Big Data Analytics Tools There are a few factors to consider when selecting the best big data analytics tool for your organization. The first is the type of data you have, which will determine the tool you need.

Big Data 52

Big Data Data Analytics Data Mining MongoDB 52