Snowflake

NOVEMBER 11, 2024

Expanded multimodal support enriches responses for diverse tasks such as summarization, classification and entity extraction across various media types. Deliver multimodal analytics with familiar SQL syntax Database queries are the underlying force that runs the insights across organizations and powers data-driven experiences for users.

Unstructured Data 82

Unstructured Data SQL AWS Healthcare 82

Cloudera

OCTOBER 28, 2020

To start, they look to traditional financial services data, combining and correlating account activity, borrowing history, core banking, investments, and call center data. However, the bank’s federated data marts gave each business only enough data to substantiate its own business.

Unstructured Data 76

Unstructured Data Banking Machine Learning Media 76

Snowflake

JULY 1, 2024

Text and sentiment analysis Gen AI capabilities can help analyze unstructured data from claim notes, customer emails and call transcripts to glean insights into claim complexity, customer sentiment and potential dissatisfaction or fraud. With more touchpoints (websites, mobile apps, social media, etc.),

Insurance 87

Insurance Media Unstructured Data Machine Learning 87

Cloudera

APRIL 20, 2021

In today’s demand for more business and customer intelligence, companies collect more varieties of data — clickstream logs, geospatial data, social media messages, telemetry, and other mostly unstructured data.

Kafka 100

Kafka Hospitality Retail Data Ingestion 100

Cloudera

OCTOBER 21, 2020

Instead of in-person appointments or walkthroughs, insurance companies may now rely on drone footage, satellite imagery, social media posts, and mobile apps that gather data on customers. Using these forms of structured and unstructured data can unlock new insights, both in isolation and in combination with each other.

Insurance 77

Insurance Unstructured Data Hospitality Media 77

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

Snowflake

APRIL 6, 2023

Data science is quickly emerging as a key differentiator for advertising, media, and entertainment organizations. Fierce competition is another factor causing brands to enhance their data science efforts to power more and faster actionable insights. Another common hurdle is data silos.

Data Science 59

Data Science Entertainment Media Unstructured Data 59

Snowflake

SEPTEMBER 26, 2024

Most companies know they need better data to make that happen, but they struggle with making it available, trusted and accessible — not to mention handling complex data, like images, videos and unstructured data. Evolution, not revolution The good news? But, of course, it’s critical to keep a human in the loop.

Retail 81

Retail Cloud Unstructured Data Deep Learning 81

Snowflake

JUNE 13, 2024

Bringing in batch and streaming data efficiently and cost-effectively Ingest and transform batch or streaming data in <10 seconds: Use COPY for batch ingestion, Snowpipe to auto-ingest files, or bring in row-set data with single-digit latency using Snowpipe Streaming.

Data Ingestion 94

Data Ingestion MySQL PostgreSQL Data Pipeline 94

RandomTrees

NOVEMBER 25, 2024

AI-Driven Content Creation and Personalization With the growing penetration of technology, the telecom operators are expanding their content distribution companies such as providing video on demand, gaming or other media. Because of their content preferences and viewing behaviors, generative AI models can suggest relevant content to the user.

Telecommunication 52

Telecommunication IT Unstructured Data Data Mining 52

Towards Data Science

DECEMBER 4, 2023

Data Lake A data lake would serve as a repository for raw and unstructured data generated from various sources within the Formula 1 ecosystem: telemetry data from the cars (e.g. Fan Engagement Mart : Marketing Team analyses social media data, fan surveys, and viewer ratings to understand fan preferences.

Data Engineering 81

Data Engineering Data Engineer Engineering Data Lake 81

Cloudera

NOVEMBER 14, 2023

Credit scoring and risk assessment: Traditional credit scoring models rely on narrow and limited financial data, making it difficult for individuals without a well-established credit history to access loans or other financial products.

Banking 80

Banking Education Unstructured Data Algorithm 80

Knowledge Hut

APRIL 23, 2024

Traditional tools and methods cannot effectively manage and analyze information gleaned from big data within a reasonable timeframe. These data sets consist of extensive and intricate data from diverse sources, including business transactions, social media interactions, and sensor data.

Big Data 52

Big Data Media Datasets Unstructured Data 52

Knowledge Hut

MAY 3, 2024

The results can be combined with data from other sources like social media profiles, product reviews on forums, customer comments, etc. We collect hundreds of petabytes of data on this platform and use Apache Spark to analyze these enormous amounts of data. to enhance the recommendations to customers based on new trends.

Hadoop 98

Hadoop Scala Healthcare Big Data 98

Snowflake

DECEMBER 11, 2024

Legacy systems, old approaches and segmented data can make it challenging to mine and maximize results from structured data, like ticket or merchandise purchase transactions, and unstructured data, like game footage.

Unstructured Data 63

Unstructured Data Government Media Data 63

Cloudera

NOVEMBER 25, 2020

Sample and treatment history data is mostly structured, using analytics engines that use well-known, standard SQL. Interview notes, patient information, and treatment history is a mixed set of semi-structured and unstructured data, often only accessed using proprietary, or less known, techniques and languages.

Data Warehouse 60

Data Warehouse Unstructured Data Medical Pharmaceutical 60

Knowledge Hut

JUNE 26, 2023

For this study, we wanted to create a "big data pipeline for user sentiment analysis on the US stock market." In a nutshell, this initiative uses social media data to provide real-time market sentiment predictions. Source Code: Smart Cities Using Big Data 3. Source Code: Tourist Behavior Analysis 4.

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

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

Precisely

SEPTEMBER 6, 2023

The Rise of Unstructured Data Governing structured data is relatively easy. It’s a fairly simple proposition to define the attributes of the data and detect records that fail to meet expectations. The same does not hold true for unstructured data. Unstructured data contains many quality dimensions.

Data Governance 52

Data Governance Big Data Government Unstructured Data 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. It focuses on collecting, storing, and processing extensive datasets.

Machine Learning 52

Machine Learning Big Data Unstructured Data Data Mining 52

Cloudera

NOVEMBER 18, 2021

Our winners were selected by a group of 26 industry experts made up of analysts, influences and members of the media. So, without further ado, it is with great delight that we officially publish the 2021 Data Impact Award winners! Data Lifecycle Connection.

Banking 82

Banking Data Lake Telecommunication Data 82

Netflix Tech

MARCH 10, 2023

By Burak Bacioglu , Meenakshi Jindal Asset Management at Netflix At Netflix, all of our digital media assets (images, videos, text, etc.) are stored in secure storage layers. It is also responsible for asset discovery, validation, sharing, and for triggering workflows. Net, Ruby, Perl etc.).

Management 106

Management Metadata Digital Media Kafka 106

Cloudera

DECEMBER 7, 2020

Leaders are moving to “segments of one,” defined as tracking and understanding individual behaviors across all touchpoints using the data to customize offers, products, or services to the individual customer. Personalized Interactions —Increase conversion and customer engagement with deeper personalization and targeting.

Retail 65

Retail Unstructured Data Big Data Media 65

ProjectPro

MARCH 17, 2014

Big data and hadoop are catch-phrases these days in the tech media for describing the storage and processing of huge amounts of data. To gain competitive advantage, organizations have to make the best use of the unstructured data collected for profitable business decision making. What is Big Data according to EMC?

Hadoop 52

Hadoop Big Data Unstructured Data Data Analytics 52

Confluent

MARCH 4, 2019

Different data problems have arisen in the last two decades, and we ought to address them with the appropriate technology. We need something that can handle large amounts of data, something that can handle unstructured data coming from logs and social media, and data in their native form.

Cloud 89

Cloud Banking Kafka NoSQL 89

AltexSoft

MAY 14, 2021

To understand Big Data, you need to get acquainted with its attributes known as the four V’s: Volume is what hides in the “big” part of Big Data. This relates to terabytes to petabytes of information coming from a range of sources such as IoT devices, social media, text files, business transactions, etc.

Big Data 78

Big Data Data Analytics IT NoSQL 78

Knowledge Hut

APRIL 23, 2024

Big Data certification course will support you in learning big data skills from the greatest mentors to help you build a career in big data. Top 10 Disadvantages of Big Data 1. Need for Skilled Personnel We see data in different forms; it can be categorized into structured, semi-structured, and unstructured data.

Big Data 52

Big Data Media Government Big Data Skills 52

U-Next

SEPTEMBER 7, 2022

Structuring data refers to converting unstructured data into tables and defining data types and relationships based on a schema. The data lakes store data from a wide variety of sources, including IoT devices, real-time social media streams, user data, and web application transactions.

Data Lake 52

Data Lake Data Warehouse Unstructured Data Amazon Web Services 52

Knowledge Hut

JUNE 4, 2024

Data science is an interdisciplinary field that employs scientific techniques, procedures, formulas, and systems to draw conclusions and knowledge from a variety of structured and unstructured data sources. The agency would also use data to track the results of its efforts and adjust its approach as needed.

Data Science 52

Data Science Data Mining Media Recruitment 52

Edureka

AUGUST 2, 2023

Organisations and businesses are flooded with enormous amounts of data in the digital era. This information is gathered from a variety of sources, including sensor readings, social media engagements, and client transactions. Raw data, however, is frequently disorganised, unstructured, and challenging to work with directly.

Data Process 52

Data Process Process Data Cleanse Data Mining 52

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. Microsoft's Big Data strategy is broad and expanding rapidly.

Big Data 52

Big Data Unstructured Data Amazon Web Services Hadoop 52

ProjectPro

MAY 26, 2015

The webinar discusses about the working of beacon technology (Beaconstac) and the production beacon analytics system Morpheus at MobStac that leverages Hadoop for analysing huge amounts of unstructured data generated from beacons (IoT).Beacons Groninger Museum deploys beacons to share interactive media with the visitors to the Museum.

Hadoop 52

Hadoop Unstructured Data Big Data Retail 52

Knowledge Hut

AUGUST 16, 2024

Skills in these concepts, therefore, will help you stand out in your Data Science career. Working with Unstructured Data Data Scientists deal with data daily which could be either structured or unstructured. Social media is one of the most common sources of unstructured data.

Data Science 52

Data Science Hadoop Unstructured Data Programming Language 52

ProjectPro

MAY 23, 2015

Table of Contents How Walmart uses Big Data? 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 How Walmart is tracking its customers?

Big Data 52

Big Data Data Analysis Hadoop Retail 52

ProjectPro

OCTOBER 28, 2015

Sqoop in Hadoop is mostly used to extract structured data from databases like Teradata, Oracle, etc., and Flume in Hadoop is used to sources data which is stored in various sources like and deals mostly with unstructured data. The complexity of the big data system increases with each data source.

ETL Tools 52

ETL Tools Hadoop Relational Database Unstructured Data 52

Cloudera

SEPTEMBER 7, 2018

This could be in the form of reputational damage or unfavorable regulatory consequences in case of compromised customer data, for example. Moreover, this approach struggles to deal with the large volume and variety of data that must be analyzed and often correlated.

Machine Learning 52

Machine Learning Unstructured Data Portfolio Relational Database 52

Knowledge Hut

JANUARY 30, 2024

Here, we explore the diverse types of Extraction, showcasing the breadth of possibilities it offers: Textual Data: This includes extracting textual content from sources such as documents, emails, social media posts, and web pages. Textual data extraction is vital for sentiment analysis, content categorization, and text mining.

ETL Tools 52

ETL Tools Database-centric Data Mining Raw Data 52