Data Engineering Weekly

OCTOBER 11, 2024

The data world is abuzz with speculation about the future of data engineering and the successor to the celebrated modern data stack. While the modern data stack has undeniably revolutionized data management with its cloud-native approach, its complexities and limitations are becoming increasingly apparent.

Manufacturing 109

Manufacturing Transportation Unstructured Data Data Warehouse 109

Data Engineering Podcast

SEPTEMBER 14, 2020

Summary In memory computing provides significant performance benefits, but brings along challenges for managing failures and scaling up. Hazelcast is a platform for managing stateful in-memory storage and computation across a distributed cluster of commodity hardware. Can you start by describing what Hazelcast is and its origins?

Process 100

Process Unstructured Data Metadata Data Engineering 100

The Modern Data Company

MAY 10, 2023

In our previous post, The Pros and Cons of Leading Data Management and Storage Solutions , we untangled the differences among data lakes, data warehouses, data lakehouses, data hubs, and data operating systems. What factors are most important when building a data management ecosystem?

Data Management 52

Data Management Data Lake Management Data Warehouse 52

The Modern Data Company

MAY 10, 2023

In our previous post, The Pros and Cons of Leading Data Management and Storage Solutions , we untangled the differences among data lakes, data warehouses, data lakehouses, data hubs, and data operating systems. What factors are most important when building a data management ecosystem?

Data Management 52

Data Management Management Data Lake Data Warehouse 52

The Modern Data Company

MAY 10, 2023

In our previous post, The Pros and Cons of Leading Data Management and Storage Solutions , we untangled the differences among data lakes, data warehouses, data lakehouses, data hubs, and data operating systems. What factors are most important when building a data management ecosystem?

Data Management 52

Data Management Management Data Lake Data Warehouse 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. Quality : Is the data itself anomalous?

Database 72

Database Unstructured Data Data Pipeline Metadata 72

Cloudera

AUGUST 21, 2024

The Awards showcase IT vendor offerings that provide significant technology advances – and partner growth opportunities – across technology categories including AI and AI infrastructure, cloud management tools, IT infrastructure and monitoring, networking, data storage, and cybersecurity.

Unstructured Data 69

Unstructured Data Business Intelligence Data Architecture Data Warehouse 69

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

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

Knowledge Hut

APRIL 23, 2024

They also facilitate historical analysis, as they store long-term data records that can be used for trend analysis, forecasting, and decision-making. Big Data In contrast, big data encompasses the vast amounts of both structured and unstructured data that organizations generate on a daily basis.

Data Warehouse 52

Data Warehouse Big Data Unstructured Data Hadoop 52

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

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. BigGeo BigGeo accelerates geospatial data processing by optimizing performance and eliminating challenges typically associated with big data.

Pipeline-centric 127

Pipeline-centric Food Healthcare Unstructured Data 127

Data Engineering Weekly

JUNE 30, 2024

Image-generating AI technologies resulted in a 17% decrease in job posts related to image creation. Looming regulatory requirements, data quality, governance issues & model accuracy keep failing enterprises. link] Sponsored: Try Fully Managed Apache Airflow for FREE Run Airflow without the hassle and management complexity.

Data Engineering 102

Data Engineering Data Engineer Engineering Unstructured Data 102

Striim

OCTOBER 11, 2024

Then, we’ll explore a data pipeline example and dive deeper into the key differences between a traditional data pipeline vs ETL. What is a Data Pipeline? A data pipeline refers to a series of processes that transport data from one or more sources to a destination, such as a data warehouse, database, or application.

Data Pipeline 52

Data Pipeline MongoDB Unstructured Data Data Lake 52

Knowledge Hut

APRIL 23, 2024

Big data encompasses a lot of unstructured and structured data originating from diverse sources such as social media and online transactions. When it comes to big data vs data mining, big data focuses on managing large-scale data. Traditional data processing techniques cannot be used.

Data Mining 52

Data Mining Big Data Database-centric Unstructured Data 52

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. Create plans for ETL methods and architectures.

Data Science 98

Data Science Business Analyst Data Architect ETL Method 98

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

Edureka

JUNE 7, 2024

In this article, we will take a closer look at two of the most talked about and widely used AI technologies of 2024 – generative AI and predictive AI. Table of Contents Generative AI vs Predictive AI – Comparison Table Generative AI 101: A Revolutionary Cocktail of Technology and Art How Does Generative AI Work?

Deep Learning 114

Deep Learning Media Manufacturing Algorithm 114

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

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. Last year, the U.S.

Healthcare 89

Healthcare Hospitality Electronics Medical 89

Cloudera

JUNE 12, 2024

The truth is, the industry is rapidly adopting AI and GenAI technologies to drive innovation across various domains. Traditional machine learning (ML) models enhance risk management, credit scoring, anti-money laundering efforts and process automation. What Should Institutions Invest In?

Finance 82

Finance Portfolio Government Unstructured Data 82

RandomTrees

OCTOBER 9, 2024

It even uses advanced technologies and approaches. This is where Generative Artificial Intelligence, simply known as GenAI, comes in and is currently being used to transform quality assurance in manufacturing processes. Nonetheless, conventional quality control systems have their drawbacks.

Manufacturing 52

Manufacturing Electronics Unstructured Data Utilities 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. Get to know more about SQL for data science.

Software Engineer 97

Software Engineer Software Engineering Data Science Engineering 97

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

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

Cloudera

DECEMBER 19, 2023

Some of the primary operational problems highlighted at the PCN Government Innovation event include: Civil Government : A major challenge facing the civil government is the inefficient and cumbersome procurement process. Share progress updates and involve citizens in AI policymaking. Build public trust through education on AI.

Government 95

Government Education Unstructured Data Algorithm 95

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 94

Unstructured Data Manufacturing Retail Data Warehouse 94

Precisely

APRIL 30, 2024

RPA is best suited for simple tasks involving consistent data. It’s challenged by complex data processes and dynamic environments Complete automation platforms are the best solutions for complex data processes. They support advanced automation features, enabling broader and more efficient automation.

Unstructured Data 59

Unstructured Data Government Data Validation Programming 59

Snowflake

JULY 1, 2024

To learn more about insurance data trends, download the full ebook. Coupled with low-code configuration and automation, organizations are driving toward a more automated, standardized and objective underwriting process while improving pricing accuracy and loss ratios, cutting costs and shortening quote-to-bind times.

Insurance 83

Insurance Media Unstructured Data Machine Learning 83

RandomTrees

JUNE 17, 2024

AI technology is revolutionizing and changing the way that fraud detection and prevention are being practiced, especially in the finance industry. Rule-based systems and manual reviews under traditional approaches have become inadequate for combating technologically advanced criminals.

Banking 52

Banking Deep Learning Finance Machine Learning 52

Knowledge Hut

DECEMBER 26, 2023

Data Science is the study of extracting insights from massive amounts of data using various scientific approaches, processes and algorithms. The development of big data, data analysis, and quantitative statistics has given rise to the term "data science." Data science is now more important than ever.

Data Science 52

Data Science Unstructured Data Medical Healthcare 52

RandomTrees

SEPTEMBER 27, 2024

A cloud-based software as a service (SaaS) called Microsoft Fabric combines several data and analytics technologies that businesses require. Data Factory, Data Activator, Power BI, Synapse Real-Time Analytics, Synapse Data Engineering, Synapse Data Science, and Synapse Data Warehouse are some of them.

Database-centric 52

Database-centric Pipeline-centric IT BI 52

Knowledge Hut

APRIL 23, 2024

These overwhelming datasets encompass extensive and complex information from multiple sources like transactions, web interactions, and sensor data. Traditional tools and methods cannot effectively manage and analyze information gleaned from big data within a reasonable timeframe.

Big Data 52

Big Data Media Datasets Unstructured Data 52

Knowledge Hut

SEPTEMBER 26, 2023

Data Engineers and Data Scientists have the highest average salaries, respectively, according to PayScale. Azure data engineer certification pathgives detailed information about the same. Who is an Azure Data Engineer? To store analytical data properly, data engineers also manage it by building a data warehouse.

Certification 52

Certification Data Engineering Data Engineer Engineering 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

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

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.

IT 116

IT Unstructured Data Data Architecture Government 116