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 117

Building Unstructured Data Government Coding 117

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. It’s already having a real-world impact. “It’s

Unstructured Data 94

Unstructured Data Manufacturing Retail Data Warehouse 94

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

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. Business Intelligence only deals with structured data.

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

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. Technologies like Hadoop, Spark, Hive, Cassandra, etc.

Data Warehouse 52

Data Warehouse Big Data Unstructured Data Hadoop 52

Knowledge Hut

APRIL 23, 2024

Big data refers to large volumes of data or datasets that cannot be gleaned or parsed with traditional tools and methods. These overwhelming datasets encompass extensive and complex information from multiple sources like transactions, web interactions, and sensor data.

Big Data 52

Big Data Media Datasets Unstructured Data 52

Data Engineering Podcast

JUNE 19, 2022

Atlan is the metadata hub for your data ecosystem. Push information about data freshness and quality to your business intelligence, automatically scale up and down your warehouse based on usage patterns, and let the bots answer those questions in Slack so that the humans can focus on delivering real value.

Metadata 130

Metadata Unstructured Data MongoDB MySQL 130

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

Precisely

MARCH 7, 2024

They can ingest information as soon as it becomes available, summarize lengthy narrative content, and offer guidance to employees who manage the claims process. As new information flows in, claims managers must constantly stay up-to-date on each claim, further adding to an already heavy workload. Read to learn more.

Insurance 72

Insurance Process Medical Data Governance 72

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. Data science has become popular in the modern world to address these inconveniences.

Data Science 52

Data Science Unstructured Data Medical Healthcare 52

Monte Carlo

NOVEMBER 9, 2023

And it’s not their fault – executives and boards are to blame for much of the “hurry up and go” mentality around this (and most) new technologies. We *know* what we’re putting in (raw, often unstructured data) and we *know* what we’re getting out, but we don’t know how it got there. Remember NFTs?). Take GPT-4 for example.

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. Recognize patterns and relationships in data.

Data Science 98

Data Science Business Analyst ETL Method Data Architect 98

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. Based on this information, the judges will select three finalists, to be announced in May.

Pipeline-centric 127

Pipeline-centric Food Healthcare Unstructured Data 127

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

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

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 62

Education Unstructured Data Data Lake Data Warehouse 62

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.

Big Data 52

Big Data Media Government Big Data Skills 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. Extraction of structured information Another strength of Generative AI is to understand unstructured data and parse it into a more structured format.

Food 98

Food Unstructured Data Deep Learning SQL 98

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

Data Engineering Weekly

DECEMBER 25, 2023

Organizations must recognize their current position in the data maturity spectrum to make informed decisions about adopting new technologies. The Rising Impact of AI and Large Language Models 2023 witnessed a substantial impact of AI and large language models in data engineering.

Data Engineering 52

Data Engineering Data Engineer Engineering Unstructured Data 52

Knowledge Hut

APRIL 23, 2024

Below are some of the differences between Traditional Databases vs big data: Parameters Big Data Traditional Data Flexibility Big data is more flexible and can include both structured and unstructured data. Traditional Data is based on a static schema that can only work well with structured data.

Big Data 52

Big Data Relational Database Data Datasets 52

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

Data Engineering Podcast

JULY 31, 2022

In this episode Ernie Ostic shares the approach that he and his team at Manta are taking to build a complete view of data lineage across the various data systems in your organization and the useful applications of that information in the work of every data stakeholder. Atlan is the metadata hub for your data ecosystem.

IT 100

IT Metadata MongoDB MySQL 100

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 ]. If you ever have to explain to friends or colleagues why data capabilities are crucial to navigating the future of work and innovation, try this storytelling tactic.

Business Intelligence 130

Business Intelligence Food Unstructured Data Relational Database 130

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

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

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? Both data science and software engineering rely largely on programming skills.

Software Engineer 97

Software Engineer Software Engineering Data Science Engineering 97

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.

Data Science 52

Data Science Data Mining Data Architect Programming Language 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

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. But perspectives about data sharing across the industry are changing, driven in large part by the recent pandemic. And its impacts are noticeable.

Healthcare 52

Healthcare Insurance Unstructured Data Data Security 52

Snowflake

JUNE 30, 2023

Data teams can organize analytics into manageable and reusable blocks of knowledge supporting every data flow; users can consume them via SQL, Tableau, Looker, Python, or dbt. 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

JUNE 20, 2023

Businesses need data for everyday operations as well as for major decisions. With the advent of digitalization and technological advancement, the amount of data produced by a company and stored in any organization has increased to a great level. It helps to enhance the data quality and make informed decisions in a company.

Business Analyst 52

Business Analyst Banking Unstructured Data Cloud Computing 52

Cloudera

DECEMBER 19, 2023

As the technology continues to advance rapidly, government agencies have an opportunity to harness it to transform how they operate and serve citizens. Academic institutions can leverage AI tools to track student performance and deliver personalized interventions to improve student outcomes. Build public trust through education on AI.

Government 91

Government Education Unstructured Data Datasets 91

Knowledge Hut

NOVEMBER 3, 2023

MongoDB is a NoSQL database that’s been making rounds in the data science community. MongoDB’s unique architecture and features have secured it a place uniquely in data scientists’ toolboxes globally. Let us see where MongoDB for Data Science can help you.

MongoDB 52

MongoDB Data Science NoSQL ETL Tools 52

Knowledge Hut

DECEMBER 26, 2023

Thus, to build a career in Data Science, you need to be familiar with how the business operates, its business model, strategies, problems, and challenges. Data Science Roles As Data Science is a broad field, you will find multiple different roles with different responsibilities.

Data Science 97

Data Science BI Business Intelligence Data Mining 97

Knowledge Hut

MARCH 26, 2024

An essential position in IT is that of a solution architect who develops and deploys technological solutions that are customized to satisfy certain business requirements. They have a thorough understanding of a variety of technologies. Provide technical leadership and mentorship to junior architects and development teams.

Amazon Web Services 52

Amazon Web Services Google Cloud Computer Science AWS 52