Analytics Vidhya

FEBRUARY 28, 2024

Introduction Data is fuel for the IT industry and the Data Science Project in today’s online world. IT industries rely heavily on real-time insights derived from streaming data sources. Handling and processing the streaming data is the hardest work for Data Analysis.

MongoDB 222

MongoDB Data Pipeline Kafka Building 222

KDnuggets

MAY 15, 2023

Mojo Lang: The New Programming Language • Stop Doing this on ChatGPT and Get Ahead of the 99% of its Users • 3 Ways to Access GPT-4 for Free • 8 Open-Source Alternative to ChatGPT and Bard • Exploratory Data Analysis Techniques for Unstructured Data

Programming Language 108

Programming Language Programming Unstructured Data Data Analysis 108

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. Datafold integrates with all major data warehouses as well as frameworks such as Airflow & dbt and seamlessly plugs into CI workflows.

Metadata 130

Metadata Unstructured Data MongoDB MySQL 130

Edureka

MAY 8, 2025

These are the ways that data engineering improves our lives in the real world. The field of data engineering turns unstructured data into ideas that can be used to change businesses and our lives. Data engineering can be used in any way we can think of in the real world because we live in a data-driven age.

Data Engineering 52

Data Engineering Data Engineer Engineering Telecommunication 52

Snowflake

APRIL 20, 2023

In doing so, without compromising security or governance, we enable customers and partners to bring the power of LLMs to the data to help achieve two things: make enterprises smarter about their data and enhance user productivity in secure and scalable ways. Figure 1: Visual Question Answering Challenge data types and results.

Building 137

Building Unstructured Data Government Coding 137

Snowflake

MAY 8, 2025

Snowflake Cortex AI Snowflake Cortex AI is a suite of integrated features and services that include fully managed LLM inference, fine-tuning and RAG for structured and unstructured data, so that customers can quickly analyze unstructured data alongside their structured data and expedite the building of AI apps.

Unstructured Data 88

Unstructured Data Coding Structured Data Government 88

ProjectPro

APRIL 17, 2015

This articles explores four latest trends in big data analytics that are driving implementation of cutting edge technologies like Hadoop and NoSQL. The big data analytics market in 2015 will revolve around the Internet of Things (IoT), Social media sentiment analysis, increase in sensor driven wearables, etc.

Big Data 52

Big Data Data Analysis NoSQL Deep Learning 52

ProjectPro

MAY 23, 2015

Use market basket analysis to classify shopping trips Walmart Data Analyst Interview Questions Walmart Hadoop Interview Questions Walmart Data Scientist Interview Question American multinational retail giant Walmart collects 2.5 petabytes of unstructured data from 1 million customers every hour.

Big Data 52

Big Data Data Analysis Hadoop Retail 52

Data Engineering Weekly

JUNE 24, 2024

A few highlights from the report Unstructured data goes mainstream. The blog details the classification model, training approach and historical data analysis. Learn More → Redpoint: The InfraRed Report The impact of macroeconomic slowness results in increased focus on prioritizing reduced infrastructure spending.

Data Engineer 109

Data Engineer Data Engineering Engineering Google Cloud 109

Data Engineering Weekly

OCTOBER 11, 2024

Centralized factories and monolithic data systems became too rigid and expensive to scale, unable to cope with the increasing complexity of manufacturing and the explosion of diverse, unstructured data in the digital age.

Manufacturing 109

Manufacturing Transportation Data Warehouse Unstructured Data 109

Data Engineering Weekly

MARCH 5, 2025

The Catalog Conundrum: Beyond Structured Data The role of the catalog is evolving. Initially, catalogs focused on managing metadata for structured data in Iceberg tables. However, the vision is expanding to encompass unstructured data (images, videos, audio) and AI models.

Hadoop 57

Hadoop Metadata Data Ingestion Data Governance 57

ProjectPro

APRIL 14, 2015

Big data dating is the secret of success behind long lasting romance in relationships of the 21 st century. This article elaborates how online dating data is used by companies to help customers find the secret to long lasting romance through data analysis techniques. billion by 2016.

Big Data 52

Big Data Data Analysis Algorithm Hadoop 52

Knowledge Hut

JANUARY 18, 2024

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

Software Engineer 97

Software Engineer Software Engineering Data Science Engineering 97

Cloudera

APRIL 20, 2021

Streaming Analytics is a type of data analysis that processes data streams for real-time analytics. It continuously processes data from multiple streams and performs simple calculations to complex event processing for delivering sophisticated use cases. What is Streaming Analytics?

Kafka 95

Kafka Hospitality Retail Data Ingestion 95

Knowledge Hut

MAY 23, 2024

Roles: A Data Scientist is often referred to as the data architect, whereas a Full Stack Developer is responsible for building the entire stack. The main difference between these two roles is that a Data Scientist has tremendous expertise in data analysis and knows how to analyze data.

Computer Science 98

Computer Science Data Science Java Certification 98

Knowledge Hut

DECEMBER 22, 2023

Statistics are used by data scientists to collect, assess, analyze, and derive conclusions from data, as well as to apply quantifiable mathematical models to relevant variables. Microsoft Excel An effective Excel spreadsheet will arrange unstructured data into a legible format, making it simpler to glean insights that can be used.

Hadoop 98

Hadoop Deep Learning Data Science Machine Learning 98

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 104

Healthcare Accessible Accessibility Hospitality 104

Cloudera

DECEMBER 19, 2023

Innovations in AI-enabled data management in defense and intelligence communities also enable secure data sharing across the organization and with partners, optimizing data analysis and intelligence collaboration.

Government 91

Government Education Unstructured Data Algorithm 91

DoorDash Engineering

APRIL 26, 2023

Extraction of structured information Another strength of Generative AI is to understand unstructured data and parse it into a more structured format. This automation reduces the manual effort required in performing these tasks and improve the accuracy and speed of data processing.

Food 98

Food Unstructured Data Deep Learning SQL 98

Snowflake

NOVEMBER 29, 2023

While the former can be solved by tokenization strategies provided by external vendors, the latter mandates the need for patient-level data enrichment to be performed with sufficient guardrails to protect patient privacy, with an emphasis on auditability and lineage tracking.

Metadata 107

Metadata Healthcare Medical Data Storage 107

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. Deep Learning Models Deep learning models are particularly adept at extracting insights from unstructured data like images, text, and audio.

Deep Learning 114

Deep Learning Media Algorithm Manufacturing 114

Knowledge Hut

DECEMBER 26, 2023

Of course, handling such huge amounts of data and using them to extract data-driven insights for any business is not an easy task; and this is where Data Science comes into the picture. To make accurate conclusions based on the analysis of the data, you need to understand what that data represents in the first place.

Data Science 97

Data Science BI Machine Learning Business Intelligence 97

Knowledge Hut

MAY 23, 2024

Apache Spark: Apache Spark is a well-known data science tool, framework, and data science library, with a robust analytics engine that can provide stream processing and batch processing. It can analyze data in real-time and can perform cluster management. Apart from data analysis, it can also help in machine learning projects.

Data Science 52

Data Science MongoDB Programming Language 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

Knowledge Hut

DECEMBER 29, 2023

A Data Engineer's primary responsibility is the construction and upkeep of a data warehouse. In this role, they would help the Analytics team become ready to leverage both structured and unstructured data in their model creation processes. They construct pipelines to collect and transform data from many sources.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

Knowledge Hut

DECEMBER 26, 2023

Analyzing and organizing raw data Raw data is unstructured data consisting of texts, images, audio, and videos such as PDFs and voice transcripts. The job of a data engineer is to develop models using machine learning to scan, label and organize this unstructured data.

Data Engineering 98

Data Engineering Data Engineer Engineering Hadoop 98

Knowledge Hut

AUGUST 16, 2024

This will form a strong foundation for your Data Science career and help you gain the essential skills for processing and analyzing data, and make you capable of stepping into the Data Science industry. Skills in these concepts, therefore, will help you stand out in your Data Science career.

Data Science 52

Data Science Hadoop Unstructured Data Programming Language 52

AltexSoft

FEBRUARY 11, 2023

The former uses data to generate insights and help businesses make better decisions, while the latter designs data frameworks, flows, standards, and policies that facilitate effective data analysis. But first, all candidates must be accredited by Arcitura as Big Data professionals.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Knowledge Hut

APRIL 23, 2024

View A broader view of data Narrower view of data Data Data is gleaned from diverse sources. Data is gleaned from structured and specific sources Volume Massive volumes of data Smaller volumes of data Analysis Entails techniques like data aggregation, fusion, etc.,

Data Mining 52

Data Mining Big Data Database-centric Datasets 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

JUNE 26, 2023

If you want to break into the field of data engineering but don't yet have any expertise in the field, compiling a portfolio of data engineering projects may help. Data pipeline best practices should be shown in these initiatives. In addition to this, they make sure that the data is always readily accessible to consumers.

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

Edureka

FEBRUARY 12, 2025

Build Your First Application With LangChain, you can quickly build: Chatbots Content generators Code assistants Data analysis tools LangChain is a great choice for making scalable and smart LLM-driven apps because it is so flexible. Information Retrieval Description : Build systems to retrieve and summarize data from large documents.

IT 52

IT Database Google Cloud Coding 52

Knowledge Hut

APRIL 23, 2024

It is a set of tools and technologies that help enterprises with excellent business data analysis. Data Usage It stores the data in a sorted manner for future use. It uses data from the past and present to make decisions related to future growth. Business Intelligence only deals with structured data.

Business Intelligence 52

Business Intelligence Data Science BI Unstructured Data 52

AltexSoft

MAY 14, 2021

It’s worth noting though that data collection commonly happens in real-time or near real-time to ensure immediate processing. Any irrelevant or flawed data needs to be removed or taken into account. Several data quality tools can detect any flaws in datasets and conduct cleansing activities on them. Data analysis.

Big Data 78

Big Data Data Analytics IT NoSQL 78

Knowledge Hut

DECEMBER 26, 2023

Importance of Big Data Companies Big Data is intricate and can be challenging to access and manage because data often arrives quickly in ever-increasing amounts. Both structured and unstructured data may be present in this data. IBM is the leading supplier of Big Data-related products and services.

Big Data 52

Big Data Unstructured Data Amazon Web Services Hadoop 52

RandomTrees

JUNE 17, 2024

This article looks into AI’s different uses in financial fraud detection, with a focus on techniques involving anomaly detection, machine learning algorithms, and real-time data analysis that help safeguard the credibility of financial systems. They can get signs of fraudulence, which could be ignored through conventional methods.

Banking 52

Banking Deep Learning Machine Learning Finance 52

Cloudera

NOVEMBER 18, 2021

This included using NiFi to automatically collect and centralize documents consisting of unstructured data and then leveraging advanced natural language processing to extract tacit knowledge and perform sentiment analysis on unstructured text and images from more than 20 million documents.

Banking 77

Banking Data Lake Telecommunication Data 77