Data Engineering Weekly

OCTOBER 27, 2024

Astasia Myers: The three components of the unstructured data stack LLMs and vector databases significantly improved the ability to process and understand unstructured data. The blog is an excellent summary of the existing unstructured data landscape. link] All rights reserved ProtoGrowth Inc, India.

Data Engineering 57

Data Engineering Data Engineer Engineering Unstructured Data 57

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

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 Unstructured Data Data Warehouse 109

Data Engineering Weekly

JULY 21, 2024

We are starting with Change Data Capture tools and expanding to other categories. Jessica Lachs: Starting an Analytics Org From Scratch — Lessons From a Decade at DoorDash A strong foundational analytical function is vital to making informed decisions, operational efficiency, and competitive differentiation. Stay tuned!!!

Data Engineering 117

Data Engineering Data Engineer Engineering Generalist 117

Rockset

MARCH 28, 2024

Find an end-to-end Colab notebook that you can run without any dependencies on your local operating system: Recsys_workshop. Introduction A real-time personalized recommender system can add tremendous value to an organization by enhancing the level user engagement and ultimately increasing user satisfaction. Vector Search?

Systems 52

Systems Building Database Utilities 52

Data Engineering Weekly

JULY 14, 2024

[link] Sponsored: 7/25 Amazon Bedrock Data Integration Tech Talk Streamline & scale data integration to and from Amazon Bedrock for generative AI applications. Senior Solutions Architect at AWS) Learn about: Efficient methods to feed unstructured data into Amazon Bedrock without intermediary services like S3.

Data Engineering 98

Data Engineering Data Engineer Engineering Unstructured Data 98

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. Atlan is the metadata hub for your data ecosystem.

Datasets 130

Datasets Unstructured Data Metadata MongoDB 130

Cloudera

NOVEMBER 15, 2024

Cyber defenders struggle with: Too much data: Cybersecurity tools generate an overwhelming volume of log data, including Domain Name Service (DNS) records, firewall logs, and more. All of this data is essential for investigations and threat hunting, but existing systems often struggle to manage it efficiently.

Metadata 83

Metadata Unstructured Data Data Lake Government 83

Snowflake

NOVEMBER 11, 2024

With new generative AI capabilities, developers can now process multimodal data, using the most relevant information in their applications. Snowflake will be introducing new multimodal SQL functions (private preview soon) that enable data teams to run analytical workflows on unstructured data, such as images.

Unstructured Data 52

Unstructured Data SQL AWS Healthcare 52

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? Challenges Faced by AI Data Engineers Just because “AI” involved doesn’t mean all the challenges go away! Let’s examine a few.

Data Engineering 52

Data Engineering Data Engineer Engineering Unstructured Data 52

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. At the same time, the continuous growth of available data has led to information overload — when there are too many choices, complicating decision-making.

Machine Learning 76

Machine Learning Systems Algorithm Deep Learning 76

Cloudera

NOVEMBER 15, 2024

Cyber defenders struggle with: Too much data: Cybersecurity tools generate an overwhelming volume of log data, including Domain Name Service (DNS) records, firewall logs, and more. All of this data is essential for investigations and threat hunting, but existing systems often struggle to manage it efficiently.

Metadata 59

Metadata Unstructured Data Data Lake Government 59

Knowledge Hut

AUGUST 16, 2024

Academic Prerequisites To become a successful Data Scientist, you need an undergraduate or a postgraduate degree in Computer Science, Mathematics, Statistics, Business Information Systems, Information Management , or any other similar field. In such a scenario, Hadoop comes to the rescue.

Data Science 52

Data Science Hadoop Unstructured Data Programming Language 52

Snowflake

OCTOBER 26, 2023

Gen AI can also analyze unstructured data sets, such as clinical notes, diagnostic imaging and recordings and provide evidence-based recommendations. If the model uses ungoverned data to generate content, there is a risk of exposing sensitive data to unauthorized data consumers.

Healthcare 87

Healthcare Unstructured Data High Quality Data Medical 87

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. Atlan is the metadata hub for your data ecosystem. Unstruk is the DataOps platform for your unstructured data. Atlan is the metadata hub for your data ecosystem.

Metadata 130

Metadata Unstructured Data MongoDB MySQL 130

Data Engineering Weekly

SEPTEMBER 18, 2024

In the pre-data-lake era, traditional data warehouses were limited by disk space and processing power. Storage and computing were tightly coupled within a single, large system, making running additional processes, such as observability tools, difficult without straining the system’s resources.

Data Lake 98

Data Lake Data Pipeline Unstructured Data Datasets 98

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

Precisely

SEPTEMBER 6, 2023

More Data Sources Than Ever Before The world has moved away from big monolithic systems that house most of their mission-critical data. Today, organizations augment large-scale ERP systems with CRM software and digital marketing automation, ecommerce systems, customer service tools, and more.

Data Governance 52

Data Governance Big Data Government Unstructured Data 52

Data Engineering Weekly

JUNE 30, 2024

The paper highlights several challenges, including the need for massive industrial mobilization to support the growing demands for GPU, data centers, and power infrastructure. Controlling AI systems that are much smarter than humans is an unsolved technical problem, and failure could lead to catastrophic outcomes.

Data Engineering 102

Data Engineering Data Engineer Engineering Unstructured Data 102

Knowledge Hut

APRIL 23, 2024

In the modern data-driven landscape, organizations continuously explore avenues to derive meaningful insights from the immense volume of information available. Two popular approaches that have emerged in recent years are data warehouse and big data. Data warehousing offers several advantages.

Data Warehouse 52

Data Warehouse Big Data Unstructured Data Hadoop 52

Data Engineering Podcast

JUNE 12, 2022

Atlan is the metadata hub for your data ecosystem. Instead of locking all of that information into a new silo, unleash its transformative potential with Atlan’s active metadata capabilities. Atlan is the metadata hub for your data ecosystem. Unstruk is the DataOps platform for your unstructured data.

Metadata 100

Metadata Unstructured Data Business Intelligence MongoDB 100

Snowflake

APRIL 8, 2024

BigGeo BigGeo accelerates geospatial data processing by optimizing performance and eliminating challenges typically associated with big data. Scientific Financial Systems Beating the market is the driving force for investment management firms — but beating the market is not easy.

Pipeline-centric 129

Pipeline-centric Food Healthcare Unstructured Data 129

Data Engineering Podcast

JULY 31, 2022

Summary Data lineage is the roadmap for your data platform, providing visibility into all of the dependencies for any report, machine learning model, or data warehouse table that you are working with. Atlan is the metadata hub for your data ecosystem. Data lineage and metadata systems are a hot topic right now.

IT 100

IT Metadata MongoDB MySQL 100

Knowledge Hut

JANUARY 18, 2024

The Data Scientist job description is a culmination of the work of a mathematician, scientist, statistician, and computer professional. Using advanced analytical tools, a data scientist interprets data and presents it in meaningful information. For more information, check out the best Data Science certification.

Data Science 98

Data Science Business Analyst Data Architect ETL Method 98

RandomTrees

OCTOBER 9, 2024

Nonetheless, conventional quality control systems have their drawbacks. Errors are often made due to human intervention, manual inspections, and depending on past information. Process Optimization: GenAI-controlled systems are so advanced in field improvement and cost-effectiveness.

Manufacturing 52

Manufacturing Electronics Unstructured Data Utilities 52

AltexSoft

JUNE 26, 2023

While today’s world abounds with data, gathering valuable information presents a lot of organizational and technical challenges, which we are going to address in this article. We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection?

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

Knowledge Hut

DECEMBER 26, 2023

An information and computer scientist, database and software programmer, curator, and knowledgeable annotator are all examples of data scientists. They are all crucial for the administration of digital data collection to be successful. In the twenty-first century, data science is regarded as a profitable career.

Data Science 52

Data Science Unstructured Data Medical Healthcare 52

Snowflake

JULY 1, 2024

These broad customer profiles are being used as inputs to machine learning models to better inform risk selection. With all the data at their fingertips, actuaries and data scientists are empowered to more rapidly model frequency, severity, loss cost, and enable insurance product managers to file new rates with regulators.

Insurance 86

Insurance Media Unstructured Data Machine Learning 86

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. Chief Information Officer, Legal Industry For all the quotes, download the Trendbook today!

Government 52

Government Data Governance Finance Metadata 52

Snowflake

JUNE 30, 2023

To make that happen, it leverages the breadth of the Snowflake platform to transform raw data from multiple financial and operational systems into a common data model that users can understand more easily. semantha seeks to eliminate information overload with AI services for processing unstructured data like text and video.

Unstructured Data 94

Unstructured Data Raw Data Python SQL 94

Knowledge Hut

APRIL 23, 2024

Data Science is the field that focuses on gathering data from multiple sources using different tools and techniques. Whereas, Business Intelligence is the set of technologies and applications that are helpful in drawing meaningful information from raw data. Data Usage It stores the data in a sorted manner for future use.

Business Intelligence 52

Business Intelligence Data Science BI Unstructured Data 52

Edureka

SEPTEMBER 23, 2024

What is Data Science? 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

JANUARY 18, 2024

This article clearly explains the topics of data scientist vs software engineer, including data scientist vs software engineer salary , with relevant information which hopefully leads the readers to a doubt-free decision. What is Data Science? Exploratory data is dealt with in Data science.

Software Engineer 97

Software Engineer Software Engineering Data Science Engineering 97

Knowledge Hut

APRIL 23, 2024

Big data and data mining are neighboring fields of study that analyze data and obtain actionable insights from expansive information sources. Big data encompasses a lot of unstructured and structured data originating from diverse sources such as social media and online transactions.

Data Mining 52

Data Mining Big Data Database-centric Unstructured Data 52

Cloudera

JUNE 12, 2024

The Opportunities are Compelling, but Significant Challenges Must be Addressed Data privacy and security in the financial sector demand rigorous protection measures for sensitive information. This includes robust encryption, stringent access controls and advanced anonymization techniques to ensure financial data remains secure.

Finance 76

Finance Portfolio Government Unstructured Data 76

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

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. They can ingest information as soon as it becomes available, summarize lengthy narrative content, and offer guidance to employees who manage the claims process.

Insurance 72

Insurance Process Medical Data Governance 72