Edureka

AUGUST 2, 2023

Organisations and businesses are flooded with enormous amounts of data in the digital era. Raw data, however, is frequently disorganised, unstructured, and challenging to work with directly. Data processing analysts can be useful in this situation. What Does a Data Processing Analyst Do?

Data Process 52

Data Process Process Data Cleanse Data Mining 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. Data warehousing offers several advantages.

Data Warehouse 52

Data Warehouse Big Data Unstructured Data Hadoop 52

Data Engineering Weekly

MAY 8, 2023

Your colleague, Helen from finance, optimistically informs you that this should be easy since all the data has been entered into the company's databases. Receipt table (later referred to as table_receipts_index): It turns out that all the receipts were manually entered into the system, which creates unstructured data that is error-prone.

Process 52

Process Banking Raw Data Finance 52

phData: Data Engineering

SEPTEMBER 19, 2023

With the amount of data companies are using growing to unprecedented levels, organizations are grappling with the challenge of efficiently managing and deriving insights from these vast volumes of structured and unstructured data. What is a Data Lake?

Data Lake 52

Data Lake Process Metadata Data Warehouse 52

Snowflake

JUNE 13, 2024

The journey toward achieving a robust data platform that secures all your data in one place can seem like a daunting one. But at Snowflake, we’re committed to making the first step the easiest — with seamless, cost-effective data ingestion to help bring your workloads into the AI Data Cloud with ease.

Data Ingestion 86

Data Ingestion MySQL PostgreSQL Data Pipeline 86

Jesse Anderson

SEPTEMBER 14, 2023

There has been quite a bit of writing covering GPT and LLMs from data science and business perspectives. I haven’t seen much from the data engineering side. Let me share my perspective, having been in data and AI for a while and using LLMs before they became popular. How can we use LLMs in data engineering?

Data Engineering 147

Data Engineering Data Engineer Engineering NoSQL 147

Snowflake

JUNE 4, 2024

Generative AI presents enterprises with the opportunity to extract insights at scale from unstructured data sources, like documents, customer reviews and images. It also presents an opportunity to reimagine every customer and employee interaction with data to be done via conversational applications.

Data Security 94

Data Security Machine Learning Unstructured Data SQL 94

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

Snowflake

JANUARY 18, 2024

Advanced analytics help manufacturers extract insights from their data and improve operations and decision-making. But for manufacturers, it’s often challenging to perform analytics with ERP data. A fragmented resource planning system causes data silos, making enterprise-wide visibility virtually impossible.

Manufacturing 86

Manufacturing Unstructured Data Cloud Architecture 86

Data Engineering Podcast

SEPTEMBER 14, 2020

On top of this foundation, the Hazelcast team has also built a streaming platform for reliable high throughput data transmission. In this episode Dale Kim shares how Hazelcast is implemented, the use cases that it enables, and how it complements on-disk data management systems.

Process 100

Process Unstructured Data Metadata Data Engineering 100

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

Speaking of job vacancies, the two careers have high demands till date and in upcoming years are Data Scientist and a Software Engineer. Per the BLS, the expected growth rate of job vacancies for data scientists and software engineers is around 22% by 2030. What is Data Science? Get to know more about SQL for data science.

Software Engineer 97

Software Engineer Software Engineering Data Science Engineering 97

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. The healthcare industry alone has approximately 30% of the world’s data volume. Below are a few of their top predictions for 2024.

Healthcare 87

Healthcare Hospitality Electronics Medical 87

Monte Carlo

MAY 28, 2024

A data ingestion architecture is the technical blueprint that ensures that every pulse of your organization’s data ecosystem brings critical information to where it’s needed most. Ensuring all relevant data inputs are accounted for is crucial for a comprehensive ingestion process.

Data Ingestion 52

Data Ingestion Architecture Designing Hadoop 52

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. These patterns include both centralized storage patterns like data warehouse , data lake and data lakehouse , and distributed patterns such as data mesh.

Data Lake 90

Data Lake Data Warehouse Cloud Unstructured Data 90

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 ETL Method Data Architect 98

Cloudera

JUNE 12, 2024

Traditional machine learning (ML) models enhance risk management, credit scoring, anti-money laundering efforts and process automation. Capital One leverages GenAI to create synthetic data for model training while protecting privacy. Bridgewater Associates leverages GenAI to process data for trading signals and portfolio optimization.

Finance 70

Finance Portfolio Government Unstructured Data 70

Edureka

JUNE 7, 2024

Industry Applications of Predictive AI While both involve machine learning and data analysis, they differ in their core objectives and approaches. paintings, songs, code) Historical data relevant to the prediction task (e.g., paintings, songs, code) Historical data relevant to the prediction task (e.g.,

Deep Learning 114

Deep Learning Media Manufacturing Algorithm 114

Data Engineering Podcast

JUNE 26, 2022

Summary The proliferation of sensors and GPS devices has dramatically increased the number of applications for spatial data, and the need for scalable geospatial analytics. Atlan is the metadata hub for your data ecosystem. Modern data teams are dealing with a lot of complexity in their data pipelines and analytical code.

Datasets 130

Datasets Unstructured Data Metadata MongoDB 130

Knowledge Hut

DECEMBER 21, 2023

In the present-day world, almost all industries are generating humongous amounts of data, which are highly crucial for the future decisions that an organization has to make. 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.

Hadoop 52

Hadoop Big Data NoSQL Unstructured Data 52

Team Data Science

JANUARY 8, 2021

Big Data has become the dominant innovation in all high-performing companies. Notable businesses today focus their decision-making capabilities on knowledge gained from the study of big data. Big Data gives you an advantage in competition as true for businesses as it is for professionals working in the area of analytics.

Data Engineering 130

Data Engineering Data Engineer Engineering Unstructured Data 130

Data Engineering Podcast

JUNE 12, 2022

Summary Building a well rounded and effective data team is an iterative process, and the first hire can set the stage for future success or failure. Trupti Natu has been the first data hire multiple times and gone through the process of building teams across the different stages of growth.

Metadata 100

Metadata Unstructured Data Business Intelligence MongoDB 100

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

Knowledge Hut

MAY 23, 2024

Data science has become the fastest-growing field and a buzzword that every industry knows and leverages. This vast stream of interdisciplinary domains deals with data in different ways. It helps companies understand data and obtain meaningful insights from it. Each of these tools comes with a set of some of these usages.

Data Science 52

Data Science MongoDB Programming Language Hadoop 52

Knowledge Hut

JULY 24, 2023

The future of SQL (Structured Query Language) is a scalding subject among professionals in the data-driven world. As data generation continues to skyrocket, the demand for real-time decision-making, data processing, and analysis increases. According to recent studies, the global database market will grow from USD 63.4

Database 52

Database SQL Process NoSQL 52

Towards Data Science

APRIL 6, 2023

Principles, practices, and examples for ensuring high quality data flows Source: DreamStudio (generated by author) Nearly 100% of companies today rely on data to power business opportunities and 76% use data as an integral part of forming a business strategy. Data quality is critical to delivering good customer experiences.

Unstructured Data 76

Unstructured Data Metadata Data Coding 76

Knowledge Hut

APRIL 23, 2024

Data Science and Business intelligence are popular terms in every business domain these days. Though both have data as the fundamental aspect, their uses, and operations vary. 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

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

AltexSoft

OCTOBER 25, 2021

Its deep learning natural language processing algorithm is best in class for alleviating clinical documentation burnout, which is one of the main problems of healthcare technology. What is Natural Language Processing? This allows machines to extract value even from unstructured data. Nuance, acquired for $19.7

Medical 52

Medical Healthcare Process Hospitality 52

AltexSoft

MAY 27, 2021

The documents often come in semi-structured and unstructured data formats, which makes them difficult to process quickly and accurately. That’s when intelligent document processing or IDP enters the game. This post is a perfect place to get acquainted with intelligent document processing.

Technology 64

Technology Process Insurance Medical 64

Snowflake

APRIL 8, 2024

The list of Top 10 semi-finalists is a perfect example: we have use cases for cybersecurity, gen AI, food safety, restaurant chain pricing, quantitative trading analytics, geospatial data, sales pipeline measurement, marketing tech and healthcare. Our sincere thanks go out to everyone who participated in this year’s competition.

Pipeline-centric 125

Pipeline-centric Food Healthcare Unstructured Data 125

The Modern Data Company

JANUARY 22, 2024

The Modern Data Company has been given an honorable mention in Gartner’s 2023 Magic Quadrant for Data Integration. In response, The Modern Data Company emerged, driven by a clear mission: to revolutionize data management and address challenges posed by a diverse and rapidly evolving data environment.

Data Integration 98

Data Integration Metadata Government Unstructured Data 98

Data Engineering Weekly

MARCH 3, 2024

RudderStack is the Warehouse Native CDP, built to help data teams deliver value across the entire data activation lifecycle, from collection to unification and activation. Editor’s Note: Chennai, India Meetup - March-08 Update We are thankful to Ideas2IT to host our first Data Hero’s meetup.

Data Engineering 67

Data Engineering Data Engineer Pipeline-centric Engineering 67

Snowflake

MARCH 7, 2024

Compared to traditional AI models, generative AI/LLMs provide a significant uplift in tackling the wealth of unstructured data that make up things such as loan agreements, claims agreements, underwriting documents and the like. If anything, organizations are going to make it an integral part of every business process.

Unstructured Data 82

Unstructured Data Government Data Architecture Architecture 82

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

Monte Carlo

JANUARY 5, 2024

You know what they always say: data lakehouse architecture is like an onion. …ok, 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. ok, so maybe they don’t say that.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Tweag

APRIL 19, 2023

Most training pipelines and systems are designed to handle fairly small, sub-megapixel images. To allow innovation in medical imaging with AI, we need efficient and affordable ways to store and process these WSIs at scale. OpenSlide test data: CMU-1.tiff But as it turns out, we can’t use it.

Medical 59

Medical Process Cloud Bytes 59