Snowflake

FEBRUARY 5, 2024

And it’s no wonder — this new technology has the potential to revolutionize the industry by augmenting the value of employee work, driving organizational efficiencies, providing personalized customer experiences, and uncovering new insights from vast amounts of data. Here are just a few of their exciting predictions for the year ahead.

Unstructured Data 104

Unstructured Data Banking Government Insurance 104

AltexSoft

MAY 27, 2021

The documents often come in semi-structured and unstructured data formats, which makes them difficult to process quickly and accurately. We’ll explain the essence of IDP, guide you through its key stages, and provide real-life examples of the technology use. IDP heavily relies on such ML-driven technologies as.

Technology 64

Technology Process Insurance Medical 64

Data Engineering Weekly

OCTOBER 11, 2024

While the modern data stack has undeniably revolutionized data management with its cloud-native approach, its complexities and limitations are becoming increasingly apparent. Agent systems powered by LLMs are already transforming how we code and interact with data. Data engineering followed a similar path.

Manufacturing 109

Manufacturing Transportation Data Warehouse Unstructured Data 109

Monte Carlo

OCTOBER 31, 2024

But what does an AI data engineer do? AI data engineers play a critical role in developing and managing AI-powered data systems. Table of Contents What Does an AI Data Engineer Do? What are they responsible for? What skills do they need? Let’s dive into the specifics.

Data Engineer 52

Data Engineer Data Engineering Engineering Unstructured Data 52

Snowflake

NOVEMBER 11, 2024

GPU-based model development and deployment: Build powerful, advanced ML models with your preferred Python packages on GPUs or CPUs serving them for inference in containers — all within the same platform as your governed data. A single integration endpoint simplifies the application architecture.

Unstructured Data 52

Unstructured Data SQL AWS Healthcare 52

Data Engineering Podcast

JUNE 26, 2022

In order to reduce the friction involved in aggregating disparate data sets that share geographic similarities the Unfolded team built a platform that supports working across raster, vector, and tabular data in a single system. Unstruk is the DataOps platform for your unstructured data.

Datasets 130

Datasets Unstructured Data Metadata MongoDB 130

Snowflake

JULY 25, 2024

Snowflake Cortex Search, a fully managed search service for documents and other unstructured data, is now in public preview. Solving the challenges of building high-quality RAG applications From the beginning, Snowflake’s mission has been to empower customers to extract more value from their data.

Unstructured Data 113

Unstructured Data Metadata Government SQL 113

Jesse Anderson

SEPTEMBER 14, 2023

The metric I use for technology adoption is, what would people say if it were to disappear tomorrow? I think LLMs will allow the majority to get stupider, like in Idiocracy , while a gradually decreasing population will benefit and exploit AI (and technology in general). How can we use LLMs in data engineering?

Data Engineer 147

Data Engineer Data Engineering Engineering NoSQL 147

Rockset

APRIL 18, 2023

We’re excited to introduce vector search on Rockset to power fast and efficient search experiences, personalization engines, fraud detection systems and more. Organizations have continued to accumulate large quantities of unstructured data, ranging from text documents to multimedia content to machine and sensor data.

Unstructured Data 105

Unstructured Data Metadata Machine Learning SQL 105

Precisely

SEPTEMBER 6, 2023

To truly succeed in an increasingly data-driven world, organizations need data governance. Data governance is the formal orchestration of people, processes, and technology to enable an organization to leverage data as an enterprise asset. The same does not hold true for unstructured data.

Data Governance 52

Data Governance Big Data Government Unstructured Data 52

Snowflake

JANUARY 18, 2024

A fragmented resource planning system causes data silos, making enterprise-wide visibility virtually impossible. And in many ERP consolidations, historical data from the legacy system is lost, making it challenging to do predictive analytics. Features such as Dynamic Data Masking provide an extra layer of security.

Manufacturing 91

Manufacturing Unstructured Data Cloud Architecture 91

Knowledge Hut

APRIL 23, 2024

It is designed to support business intelligence (BI) and reporting activities, providing a consolidated and consistent view of enterprise data. Data warehouses are typically built using traditional relational database systems, employing techniques like Extract, Transform, Load (ETL) to integrate and organize data.

Data Warehouse 52

Data Warehouse Big Data Unstructured Data Hadoop 52

Data Engineering Podcast

JUNE 19, 2022

Summary Data analysis is a valuable exercise that is often out of reach of non-technical users as a result of the complexity of data systems. Datafold integrates with all major data warehouses as well as frameworks such as Airflow & dbt and seamlessly plugs into CI workflows.

Metadata 130

Metadata Unstructured Data MongoDB MySQL 130

AltexSoft

JULY 27, 2021

You’ll learn about the types of recommender systems, their differences, strengths, weaknesses, and real-life examples. Personalization and recommender systems in a nutshell. Primarily developed to help users deal with a large range of choices they encounter, recommender systems come into play. Amazon, Booking.com) and.

Machine Learning 76

Machine Learning Systems Algorithm Deep Learning 76

Data Engineering Weekly

JUNE 30, 2024

Image-generating AI technologies resulted in a 17% decrease in job posts related to image creation. The paper highlights several challenges, including the need for massive industrial mobilization to support the growing demands for GPU, data centers, and power infrastructure. What do you all think?

Data Engineer 102

Data Engineer Data Engineering Engineering Unstructured Data 102

Edureka

JUNE 7, 2024

In this article, we will take a closer look at two of the most talked about and widely used AI technologies of 2024 – generative AI and predictive AI. Table of Contents Generative AI vs Predictive AI – Comparison Table Generative AI 101: A Revolutionary Cocktail of Technology and Art How Does Generative AI Work?

Deep Learning 114

Deep Learning Media Manufacturing Algorithm 114

Snowflake

JANUARY 25, 2024

It’s essential for organizations to leverage vast amounts of structured and unstructured data for effective generative AI (gen AI) solutions that deliver a clear return on investment. Introducing new technologies is integral to solving these staffing and operational inefficiency challenges.

Healthcare 93

Healthcare Hospitality Electronics Medical 93

Snowflake

APRIL 8, 2024

In fact, 8 of the 10 startups in our semi-finalist list plan to use one or both of these technologies in their offerings. BigGeo BigGeo accelerates geospatial data processing by optimizing performance and eliminating challenges typically associated with big data.

Pipeline-centric 129

Pipeline-centric Food Healthcare Unstructured Data 129

Snowflake

NOVEMBER 2, 2023

Over the years, the technology landscape for data management has given rise to various architecture patterns, each thoughtfully designed to cater to specific use cases and requirements. Use cases change, needs change, technology changes – and therefore data infrastructure should be able to scale and evolve with change.

Data Lake 95

Data Lake Data Warehouse Cloud Unstructured Data 95

RandomTrees

OCTOBER 9, 2024

It even uses advanced technologies and approaches. Nonetheless, conventional quality control systems have their drawbacks. How Quality Control Has Changed Quality Control has gone from mere checking of products to systems that involve the use of computer vision, automation, data, and AI.

Manufacturing 52

Manufacturing Electronics Unstructured Data Utilities 52

Knowledge Hut

DECEMBER 21, 2023

This massive amount of data is referred to as “big data,” which comprises large amounts of data, including structured and unstructured data that has to be processed. To establish a career in big data, you need to be knowledgeable about some concepts, Hadoop being one of them. Hive has high latency.

Hadoop 52

Hadoop Big Data NoSQL Unstructured Data 52

Cloudera

FEBRUARY 15, 2024

From stringent data protection measures to complex risk management protocols, institutions must not only adapt to regulatory shifts but also proactively anticipate emerging requirements, as well as predict negative outcomes.

Insurance 87

Insurance Banking Data Architecture Data Ingestion 87

phData: Data Engineering

NOVEMBER 1, 2024

Strong data governance also lays the foundation for better model performance, cost efficiency, and improved data quality, which directly contributes to regulatory compliance and more secure AI systems. Quotes GenAI and LLM will impact data platforms as they need a bigger amount of data to better train the models.

Government 52

Government Data Governance Finance Metadata 52

RandomTrees

JUNE 17, 2024

AI technology is revolutionizing and changing the way that fraud detection and prevention are being practiced, especially in the finance industry. Rule-based systems and manual reviews under traditional approaches have become inadequate for combating technologically advanced criminals.

Banking 52

Banking Deep Learning Finance Machine Learning 52

Knowledge Hut

JANUARY 18, 2024

Data Science has risen to become one of the world's topmost emerging multidisciplinary approaches in technology. Recruiters are hunting for people with data science knowledge and skills these days. Data Scientists collect, analyze, and interpret large amounts of data. Choose data sets.

Data Science 98

Data Science Business Analyst Data Architect ETL Method 98

Knowledge Hut

MAY 3, 2024

Apache Spark is a fast and general-purpose, cluster computing system. Cluster Computing: Efficient processing of data on Set of computers (Refer commodity hardware here) or distributed systems. It’s also called a Parallel Data processing Engine in a few definitions. Optionally, knowing any cloud technology like AWS.

Scala 98

Scala Hadoop Healthcare Big Data 98

Knowledge Hut

MARCH 19, 2024

The following are some steps a data scientist can take to become a machine learning engineer: What Does a Data Scientist Do? The broad discipline of data science is concerned with applying different scientific methods and techniques to analyze both organized and unstructured data.

Software Engineer 52

Software Engineer Software Engineering Engineering IT 52

Knowledge Hut

SEPTEMBER 26, 2023

We should also be familiar with programming languages like Python, SQL, and Scala as well as big data technologies like HDFS , Spark, and Hive. The main exam for the Azure data engineer path is DP 203 learning path. What Does an Azure Data Engineer Do? is the responsibility of data engineers.

Certification 52

Certification Data Engineer Data Engineering Engineering 52

Snowflake

SEPTEMBER 21, 2023

The marketing technology landscape has exploded in the last decade. In this post, we’ll take a look at how leading vendors in the 2023 Modern Marketing Data Stack are differentiating their products in a crowded market. The data driving the provider’s application is stored and processed in the provider’s own Snowflake account.

Google Cloud 90

Google Cloud Unstructured Data Technology Data 90

Striim

OCTOBER 11, 2024

Change Data Capture (CDC) plays a key role here by capturing and streaming only the changes (inserts, updates, deletes) in real time, ensuring efficient data handling and up-to-date information across systems. Why are Data Pipelines Significant? Now that we’ve answered the question, ‘What is a data pipeline?’

Data Pipeline 52

Data Pipeline MongoDB Unstructured Data Data Lake 52

Knowledge Hut

DECEMBER 26, 2023

It is simply the study of mathematics, statistics, and computer science to extract information from structured and unstructured data. Data science, which solves problems by connecting relevant data for later use, aids these emerging technologies.

Data Science 52

Data Science Unstructured Data Medical Healthcare 52

U-Next

SEPTEMBER 7, 2022

Structuring data refers to converting unstructured data into tables and defining data types and relationships based on a schema. The data lakes store data from a wide variety of sources, including IoT devices, real-time social media streams, user data, and web application transactions.

Data Lake 52

Data Lake Data Warehouse Unstructured Data Amazon Web Services 52

Edureka

SEPTEMBER 23, 2024

Data Science is an applied science that deals with the process of obtaining valuable information from structured and unstructured data. They use various tools, techniques, and methodologies borrowed from statistics, mathematics computer science to analyze large amounts of data.

Data Science 40

Data Science Data Mining Computer Science Finance 40

Knowledge Hut

APRIL 26, 2024

Open Dataset Finders To solve any problem in data science, be it in the field of Machine Learning, Deep Learning, or Artificial Intelligence , one needs a dataset that can be input into the model to derive insights. A technology has no significance without data. in order to implement the complete functioning of the system.

Machine Learning 98

Machine Learning Datasets Deep Learning Finance 98

AltexSoft

JUNE 26, 2023

It includes manual data entries, online surveys, extracting information from documents and databases, capturing signals from sensors, and more. Data integration , on the other hand, happens later in the data management flow. For this task, you need a dedicated specialist — a data engineer or ETL developer.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

Precisely

MARCH 7, 2024

By harnessing the power of machine learning and natural language processing, sophisticated systems can analyze and prioritize claims with unprecedented efficiency and timeliness. eBook Achieving Data Integrity: A Guide for Insurers Technology-driven insights and capabilities depend on trusted data. Read to learn more.

Insurance 72

Insurance Process Medical Data Governance 72

Data Engineering Podcast

JUNE 12, 2022

Datafold integrates with all major data warehouses as well as frameworks such as Airflow & dbt and seamlessly plugs into CI workflows. Unstruk is the DataOps platform for your unstructured data. The options for ingesting, organizing, and curating unstructured files are complex, expensive, and bespoke.

Metadata 100

Metadata Unstructured Data Business Intelligence MongoDB 100