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

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

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

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 ETL Method Data Architect 98

Knowledge Hut

APRIL 26, 2024

Datasets are the repository of information that is required to solve a particular type of problem. Also called data storage areas , they help users to understand the essential insights about the information they represent. In the real world, data sets are huge. Data is not available in a specific format.

Datasets 98

Datasets Machine Learning Deep Learning Finance 98

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

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

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

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

Data Engineering Weekly

APRIL 7, 2024

[link] Matt Turck: Full Steam Ahead: The 2024 MAD (Machine Learning, AI & Data) Landscape Coninue the week of insights into the world of data & AI landscape, the 2024 MAD landscape is out. The emerging of composable data stack, and open data stack is certainly an interesting trend to watch.

Data Engineering 70

Data Engineering Data Engineer Engineering Unstructured Data 70

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. Take patient management systems as an example.

Big Data 52

Big Data Media Government Big Data Skills 52

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

DareData

MARCH 5, 2024

Positioned as the first commercial application of its kind within NOS , this chatbot serves as a gateway for customers to access information about NOS services seamlessly. By extracting pertinent information, it delivers contextually appropriate responses to user queries, redefining the landscape of customer support and engagement.

Database-centric 52

Database-centric Telecommunication SQL Unstructured Data 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

Data Engineering Weekly

MARCH 3, 2024

Here is the agenda, 1) Data Application Lifecycle Management - Harish Kumar( Paypal) Hear from the team in PayPal on how they build the data product lifecycle management (DPLM) systems. I have provided links for informational purposes and do not suggest endorsement. link] All rights reserved ProtoGrowth Inc, India.

Data Engineering 67

Data Engineering Data Engineer Pipeline-centric Engineering 67

Knowledge Hut

MAY 9, 2024

Data science is an interdisciplinary academic domain that utilizes scientific methods, scientific computing, statistics, algorithms, processes, and systems to extrapolate or extract knowledge and insights from unstructured, structured, and noisy data. They bridge the gap between data and software.

Data Science 52

Data Science Data Mining Data Architect Programming Language 52

Cloudera

DECEMBER 19, 2023

Defense and Intelligence Communities : The defense and intelligence communities face significant cybersecurity threats, with malicious actors trying to penetrate their systems continually. AI-enabled threat intelligence can help prevent cyberattacks, identify threats, and provide early warning to take necessary precautions.

Government 91

Government Education Unstructured Data Datasets 91

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

Precisely

MAY 13, 2024

Whether you’re bringing a new system online or connecting an existing database with your analytics platform, the process should be simple and straightforward. It synthesizes all the metadata around your organization’s data assets and arranges the information into a simple, easy-to-understand format.

Data Integration 52

Data Integration Metadata Amazon Web Services Data Governance 52

Monte Carlo

JANUARY 5, 2024

Data lakehouse architecture combines the benefits of data warehouses and data lakes, bringing together the structure and performance of a data warehouse with the flexibility of a data lake. The data lakehouse’s semantic layer also helps to simplify and open data access in an organization.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Monte Carlo

JANUARY 5, 2024

Data lakehouse architecture combines the benefits of data warehouses and data lakes, bringing together the structure and performance of a data warehouse with the flexibility of a data lake. The data lakehouse’s semantic layer also helps to simplify and open data access in an organization.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

DataKitchen

FEBRUARY 27, 2024

Retrieval-Augmented Generation: Enhancing LLMs with Targeted Data Retrieval-augmented generation (RAG) is a methodology where an LLM generates outputs based on the input prompt and leverages an external database or repository of information. Embedding: The retrieved data is encoded into embeddings that the LLM can interpret.

Data Engineering 48

Data Engineering Data Engineer Engineering Unstructured Data 48

Knowledge Hut

SEPTEMBER 26, 2023

Data engineers work on the data to organize and make it usable with the aid of cloud services. Data Engineers and Data Scientists have the highest average salaries, respectively, according to PayScale. Azure data engineer certification pathgives detailed information about the same.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Data Engineering Weekly

DECEMBER 25, 2023

Understanding the Maturity Model in Data Engineering A significant part of our discussion revolved around the maturity model in data engineering. Organizations must recognize their current position in the data maturity spectrum to make informed decisions about adopting new technologies.

Data Engineering 52

Data Engineering Data Engineer Engineering Unstructured Data 52

Precisely

MARCH 9, 2023

As cloud computing platforms make it possible to perform advanced analytics on ever larger and more diverse data sets, new and innovative approaches have emerged for storing, preprocessing, and analyzing information. Data lakes are often used for situations in which an organization wishes to store information for possible future use.

Data Lake 59

Data Lake Data Warehouse Hadoop Raw Data 59

Knowledge Hut

JANUARY 30, 2024

Data extraction is the vital process of retrieving raw data from diverse sources, such as databases, Excel spreadsheets, SaaS platforms, or web scraping efforts. This data can be structured, semi-structured, or entirely unstructured, making it a versatile tool for collecting information from various origins.

ETL Tools 52

ETL Tools Database-centric Data Mining Data Cleanse 52

Knowledge Hut

DECEMBER 26, 2023

They identify business problems and opportunities to enhance the practices, processes, and systems within an organization. Using Big Data, they provide technical solutions and insights that can help achieve business goals. They transform data into easily understandable insights using predictive, prescriptive, and descriptive analysis.

Data Science 97

Data Science BI Business Intelligence Data Mining 97

AltexSoft

OCTOBER 25, 2021

NLP-powered systems can derive meaning from what’s said or written, with all the complexities and nuances of natural narrative text. This allows machines to extract value even from unstructured data. Healthcare organizations generate a lot of text data. Unstructured data is unavoidable, yet extremely valuable.

Medical 52

Medical Healthcare Process Hospitality 52

Snowflake

SEPTEMBER 27, 2023

But all of this important data is often siloed and inaccessible or in hard-to-process formats, such as DICOM imaging, clinical notes or genomic sequencing. Healthcare organizations must ensure they have a data infrastructure that enables them to collect and analyze large amounts of structured and unstructured data at the point of care.

Healthcare 84

Healthcare Accessible Accessibility Hospitality 84

U-Next

MARCH 1, 2023

They build scalable data processing pipelines and provide analytical insights to business users. A Data Engineer also designs, builds, integrates, and manages large-scale data processing systems. It’s not just the data itself that is important, but also how that data can be used to make better decisions.

Data Engineering 75

Data Engineering Data Engineer Non-relational Database Engineering 75

Snowflake

MAY 2, 2023

For clinicians, it may mean the ability to easily and quickly share unstructured data, such as x-ray images, while to another provider it might mean ensuring optimal patient care. It also enables optimized workflows, patient 360, and ensures more informed business decision-making.

Healthcare 52

Healthcare Insurance Unstructured Data Data Security 52

Cloudera

AUGUST 4, 2021

Data volume and variety: The platform must handle a wide variety of data types , f rom intermittent readings of sensor data (temperature, pressure, and vibrations) to unstructured data (e.g., images, video, text, spectral data) or other input such as thermographic or acoustic signals. .

Unstructured Data 98

Unstructured Data Data Ingestion Government Machine Learning 98

Cloudera

JUNE 7, 2022

In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB. Where data flows, ideas follow.

IT 112

IT Unstructured Data Data Architecture Government 112

Snowflake

SEPTEMBER 7, 2023

Use cases Generative AI and LLM Services : The recent surge in Generative AI, such as text generation from GPT-4, image generation from Stable Diffusion, video, audio or even code generation, summarizing data-heavy information, and others, are paving a path to revolutionize productivity in various sectors.

Amazon Web Services 118

Amazon Web Services AWS Government Python 118

Monte Carlo

FEBRUARY 7, 2024

Intelligence is information and interpretation. But no matter how much data you pump into an AI model, at the end of the day, it’s still ostensibly a regurgitation machine (albeit a very sophisticated regurgitation machine). Now, it’s going to be about leveling up to building the actual implementation of the unstructured data.”

Data Engineering 59

Data Engineering Data Engineer Engineering Unstructured Data 59

Cloudera

DECEMBER 11, 2020

Insurance and finance are two industries that rely on measuring risk with historical data models. They have traditionally been slower-moving to adopt new structured and unstructured data inputs as regulatory considerations are always top of mind. To do that smoothly and quickly requires the adept use of cloud technologies.

Insurance 95

Insurance Unstructured Data Finance Machine Learning 95

Team Data Science

FEBRUARY 23, 2021

Then, add to this the ubiquitous usage of customer IDs to uniquely identify users' information, which is acquired across multiple channels [ , 4 ]. ✅ Tell the difference between Digitization and Digitalization It all began when organizations started taking analogue information and making it digital. Since 2017, more than 1.5

Business Intelligence 130

Business Intelligence Food Unstructured Data Relational Database 130