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

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

Knowledge Hut

NOVEMBER 18, 2023

It is fruitful for you to learn how to implement this technology successfully and use it to fulfill desired targets. This is the reason why companies have started making a switch to this latest technology. Mere learning about artificial intelligence wouldn’t be enough! What Is Artificial Intelligence?

Algorithm 52

Algorithm IT Computer Science Unstructured Data 52

Monte Carlo

FEBRUARY 12, 2024

Organizations are racing to deploy generative AI applications to unlock new sources of value and stave off potential disruptors as this transformative technology takes hold. Today, this first-party data mostly lives in two types of data repositories. This is one way to think about how to translate concepts between the two.

Database 72

Database Unstructured Data Data Pipeline Metadata 72

Knowledge Hut

NOVEMBER 16, 2023

Moreover, the excitement to work with new technology and to embark on learning paths every day fuels the rising demand for IT jobs, not to forget the role of digitalization in this technology boost. Their main responsibilities include processing data, identifying valuable data sources, combining models, integrating data, etc.

IT 52

IT Software Engineer Software Engineering Cloud Computing 52

Snowflake

APRIL 20, 2023

LLMs have the potential to help both developers and less-technically inclined users make sense of the world’s data. Protecting sensitive or proprietary data such as source code, PII, internal documents, wikis, code bases, and other sensitive data sets, along with prompts, used to contextualize the LLMs is particularly important.

Building 115

Building Unstructured Data Government Coding 115

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

Snowflake

MAY 9, 2024

From its start with efficient batch processing with data warehouses for descriptive analytics, and the inclusion of streaming data in real time to build recommendations, we find ourselves at the forefront of a new stage of evolution: generative AI (gen AI). It’s already having a real-world impact. “It’s

Unstructured Data 92

Unstructured Data Manufacturing Retail Data Warehouse 92

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.

Machine Learning 52

Machine Learning Big Data Unstructured Data Data Mining 52

Jesse Anderson

SEPTEMBER 14, 2023

Let me share my perspective, having been in data and AI for a while and using LLMs before they became popular. Even at the height of the big data craze, the general public wasn’t as excited about it. The metric I use for technology adoption is, what would people say if it were to disappear tomorrow? Is it here to stay?

Data Engineering 147

Data Engineering Data Engineer Engineering NoSQL 147

Knowledge Hut

APRIL 23, 2024

For an organization, it is essential to know the difference between business intelligence and data science to make fair use of both and ensure significant growth. Data Science is the field that focuses on gathering data from multiple sources using different tools and techniques.

Business Intelligence 52

Business Intelligence Data Science BI Unstructured Data 52

Rockset

APRIL 18, 2023

Organizations have continued to accumulate large quantities of unstructured data, ranging from text documents to multimedia content to machine and sensor data. Comprehending and understanding how to leverage unstructured data has remained challenging and costly, requiring technical depth and domain expertise.

Unstructured Data 105

Unstructured Data Metadata Machine Learning SQL 105

Snowflake

SEPTEMBER 19, 2023

Why AI has everyone’s attention, what it means for different data roles, and how Alteryx and Snowflake are bringing AI to data use cases There’s a llama on the loose! With all the hoopla around AI, there’s a lot to get up to speed on—especially the implications this technology has for data analytics. Some takeaways?

Machine Learning 94

Machine Learning Unstructured Data Data Analytics Government 94

Data Engineering Podcast

JUNE 19, 2022

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode.

Metadata 130

Metadata Unstructured Data MongoDB MySQL 130

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

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. It deploys gen AI components as containers on Snowpark Container Services, close to the customer’s data. Stellar Stellar is designed to make generative AI easy for Snowflake customers.

Pipeline-centric 126

Pipeline-centric Food Healthcare Unstructured Data 126

Precisely

MAY 13, 2024

Key Takeaways: Data integration is vital for real-time data delivery across diverse cloud models and applications, and for leveraging technologies like generative AI. The right data integration solution helps you streamline operations, enhance data quality, reduce costs, and make better data-driven decisions.

Data Integration 52

Data Integration Metadata Amazon Web Services Data Governance 52

Cloudera

MARCH 17, 2023

ChatGPT is an excellent resource for gaining high-level insights and building awareness of any technology. However, caution is necessary when delving deeper into a particular technology. ChatGPT is trained on historical data and depending on how one phrases their question, it may offer inaccurate or misleading information.

Education 61

Education Unstructured Data Data Lake Data Warehouse 61

Knowledge Hut

DECEMBER 26, 2023

As a result, digital data is everywhere for people looking for work as data scientists. Let's learn more about data science and its importance. What i s Data Science and Why is it Important? In the past, the data was in a structured format, was compact, and could be processed by straightforward BI tools.

Data Science 52

Data Science Unstructured Data Medical Healthcare 52

Knowledge Hut

APRIL 26, 2024

Datasets are often related to a particular type of problem and machine learning models can be built to solve those problems by learning from the data. Every problem statement we are dealing with comprises of data, which helps us better understand the problem and draw better insights from data by applying ML methods.

Datasets 98

Datasets Machine Learning Deep Learning Finance 98

Knowledge Hut

APRIL 23, 2024

With the help of big data analytics, we can gain insights from large datasets and reveal previously concealed patterns, trends, and correlations. To fully harness the power of big data, it is crucial to comprehend and address the challenges presented by the four Vs of big data, i.e., Volume, Velocity, Variety, and Veracity.

Big Data 52

Big Data Media Datasets Unstructured Data 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. What is Hadoop?

Hadoop 52

Hadoop Big Data NoSQL Unstructured Data 52

Precisely

MARCH 7, 2024

As insurers begin to integrate these advanced technologies into their operations, the entire landscape of claims management is being reshaped, leading to faster, more customer-friendly service. Bad data has a multiplier effect when companies deploy it for AI.

Insurance 72

Insurance Process Medical Data Governance 72

Precisely

APRIL 30, 2024

RPA projects continue to have a high failure rate of up to 50% , so before adopting these technologies, it’s essential to understand the opportunities and limitations of automating complex processes that deal with mission-critical data. These include: Structured data dependence: RPA solutions thrive on well-organized, predictable data.

Unstructured Data 59

Unstructured Data Government Data Validation Programming 59

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. AI can never replace that.

Healthcare 87

Healthcare Hospitality Electronics Medical 87

Data Engineering Podcast

JUNE 12, 2022

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode.

Metadata 100

Metadata Unstructured Data Business Intelligence MongoDB 100

Monte Carlo

NOVEMBER 9, 2023

And in many ways, LLMs are going to make data engineers more valuable – and that’s exciting! Still, it’s one thing to show your boss a cool demo of a data discovery tool or text-to-SQL generator – it’s another thing to use it with your company’s proprietary data, or even more concerning, customer data.

Unstructured Data 86

Unstructured Data Database Data Pipeline Architecture 86

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.

Data Science 98

Data Science Business Analyst ETL Method Data Architect 98

Data Engineering Weekly

DECEMBER 25, 2023

Welcome to another insightful edition of Data Engineering Weekly. As we approach the end of 2023, it's an opportune time to reflect on the key trends and developments that have shaped the field of data engineering this year. This evolution marks a significant step towards more flexible and powerful data management systems.

Data Engineering 52

Data Engineering Data Engineer Engineering Unstructured Data 52

Knowledge Hut

APRIL 23, 2024

With the advent of technology and the arrival of modern communications systems, computer science professionals worldwide realized big data size and value. As big data evolves and unravels more technology secrets, it might help users achieve ambitious targets. Top 10 Disadvantages of Big Data 1.

Big Data 52

Big Data Media Government Big Data Skills 52

Knowledge Hut

SEPTEMBER 26, 2023

Businesses require an infrastructure that educates their staff to sort and analyze this volume of data to handle such big data. Data engineering services can be used in this situation. Data engineers work on the data to organize and make it usable with the aid of cloud services.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Knowledge Hut

JANUARY 18, 2024

What is Data Science? Data Science is a field of study that handles large volumes of data using technological and modern techniques. This field uses several scientific procedures to understand structured, semi-structured, and unstructured data. Exploratory data is dealt with in Data science.

Software Engineer 97

Software Engineer Software Engineering Data Science Engineering 97

KDnuggets

SEPTEMBER 23, 2019

Register now for this webinar, Sep 25 @ 12 PM ET, for a clear approach on how to apply machine learning language technology to massive, unstructured data sets in order to create predictive models of what may be the next “it” ingredient, color, flavor or pack size.

Unstructured Data 80

Unstructured Data Machine Learning Data Technology 80

Knowledge Hut

APRIL 23, 2024

Data storing and processing is nothing new; organizations have been doing it for a few decades to reap valuable insights. Compared to that, Big Data is a much more recently derived term. So, what exactly is the difference between Traditional Data and Big Data? However, it also severely limits the scope of the data.

Big Data 52

Big Data Relational Database Data Datasets 52

Knowledge Hut

MAY 2, 2024

Since then, Apache Spark has seen a very high adoption rate from top-notch technology companies like Google, Facebook, Apple, Netflix etc. Though the majority of use cases of Spark uses HDFS as the underlying data file storage layer, it is not mandatory to use HDFS. Apache Spark was developed by a team at UC Berkeley in 2009.

Scala 52

Scala Hospitality Healthcare Retail 52

DareData

MARCH 5, 2024

This approach enables AI systems to sift through vast repositories of unstructured data with precision, extracting contextually relevant information to generate responses that are accurate but also imbued with nuance and depth. Retrieval Augmented Generation (RAG) stands as contemporary artificial intelligence technique.

Database-centric 52

Database-centric Telecommunication SQL Unstructured Data 52

DoorDash Engineering

APRIL 26, 2023

In the wake of ChatGPT and Generative AI DoorDash is identifying ways this new technology can enhance the customer’s ordering experience on the platform. Some background into Generative AI Generative AI, as its name suggests, generates new content based on existing data.

Food 98

Food Unstructured Data Deep Learning SQL 98