Snowflake

SEPTEMBER 26, 2024

There’s no question which technology everyone’s talking about in retail. 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.

Retail 80

Retail Cloud Unstructured Data Deep Learning 80

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

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

Precisely

SEPTEMBER 6, 2023

To truly succeed in an increasingly data-driven world, organizations need data governance. Data governance is the formal orchestration of people, processes, and technology to enable an organization to leverage data as an enterprise asset. The same does not hold true for unstructured data.

Data Governance 52

Data Governance Big Data Government Unstructured Data 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. A big one is legacy technology. Another common hurdle is data silos.

Data Science 59

Data Science Entertainment Media Unstructured Data 59

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 86

Insurance Media Unstructured Data Machine Learning 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

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

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

Knowledge Hut

DECEMBER 26, 2023

What Is a Big Data Company? A big data company is a company that specializes in collecting and analyzing large data sets. Big data companies typically use a variety of techniques and technologies to collect and analyze data, including data mining, machine learning, and statistical analysis.

Big Data 52

Big Data Unstructured Data Amazon Web Services Hadoop 52

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 Machine Learning Finance 52

Data Engineering Podcast

FEBRUARY 24, 2019

Summary Deep learning is the latest class of technology that is gaining widespread interest. As data engineers we are responsible for building and managing the platforms that power these models. As data engineers we are responsible for building and managing the platforms that power these models.

Deep Learning 100

Deep Learning Data Engineer Data Engineering Engineering 100

Knowledge Hut

APRIL 23, 2024

Big Data Use Cases in Customization and the Customer Experience Enhancing Customer Journeys and Experiences: Big data analytics examines data from several touchpoints, including websites, mobile applications, customer care, and social media, to assist firms in understanding the whole customer experience.

Big Data 52

Big Data Retail Recruitment Transportation 52

Cloudera

DECEMBER 11, 2020

These include the use of more data sources to gain insights and how cloud technologies can assist with digital transformation goals to be more agile and achieve objectives more quickly. Data Variety. Insurance and finance are two industries that rely on measuring risk with historical data models.

Insurance 93

Insurance Unstructured Data Finance Machine Learning 93

Knowledge Hut

MAY 3, 2024

Optionally, knowing any cloud technology like AWS. 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.

Scala 98

Scala Hadoop Healthcare Big Data 98

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

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 73

Unstructured Data Banking Machine Learning Media 73

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

AltexSoft

JUNE 26, 2023

Find sources of relevant data. Choose data collection methods and tools. Decide on a sufficient data amount. Set up data storage technology. Below, we’ll elaborate on each step one by one and share our experience of data collection. Key differences between structured, semi-structured, and unstructured data.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

Striim

OCTOBER 11, 2024

Because of this significant processing delay, businesses are unable to make timely decisions, as data is outdated by the time it’s finally transferred to the target. Real-time data pipelines equip business leaders with the knowledge necessary to make data-fueled decisions. This can result in major consequences.

Data Pipeline 52

Data Pipeline MongoDB Unstructured Data Data Lake 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 Engineer 82

Data Engineer Data Engineering Engineering Data Lake 82

Cloudera

NOVEMBER 14, 2023

Making data and AI work for the underserved By leveraging data and emerging technologies that analyze it more comprehensively and efficiently, financial institutions can expand their reach to underserved populations, improving financial inclusion and empowering individuals with greater access to economic opportunities and financial stability.

Banking 73

Banking Education Unstructured Data Algorithm 73

Knowledge Hut

MAY 2, 2024

Since then, Apache Spark has seen a very high adoption rate from top-notch technology companies like Google, Facebook, Apple, Netflix etc. Streaming Data: Streaming is basically unstructured data produced by different types of data sources. Apache Spark was developed by a team at UC Berkeley in 2009.

Scala 52

Scala Hospitality Healthcare Machine Learning 52

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 93

Data Ingestion MySQL PostgreSQL Data Pipeline 93

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

U-Next

AUGUST 18, 2022

Data Science may combine arithmetic, business savvy, technologies, algorithm, and pattern recognition approaches. These factors all work together to help us uncover underlying patterns or observations in raw data that can be extremely useful when making important business choices. Theaters, channels, etc.,

Unstructured Data 40

Unstructured Data Data Science Medical Business Intelligence 40

Knowledge Hut

JUNE 26, 2023

Get ready to delve into fascinating data engineering project concepts and explore a world of exciting data engineering projects in this article. Before working on these initiatives, you should be conversant with topics and technologies. Participating in a data engineering project is a great way to learn the ropes of the field.

Data Engineer 98

Data Engineer Data Engineering Coding Project 98

Knowledge Hut

JULY 24, 2023

Get ready to discover fascinating insights, uncover mind-boggling facts, and explore the transformative potential of cutting-edge technologies like blockchain, cloud computing, and artificial intelligence. Disruptive Database Technologies All existing and upcoming businesses are adopting innovative ways of handling data.

Database 52

Database NoSQL Management Relational Database 52

ProjectPro

FEBRUARY 16, 2023

Business Intelligence and Artificial Intelligence are popular technologies that help organizations turn raw data into actionable insights. While both BI and AI provide data-driven insights, they differ in how they help businesses gain a competitive edge in the data-driven marketplace.

Business Intelligence 52

Business Intelligence BI Data Mining Algorithm 52

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 59

Data Warehouse Unstructured Data Medical Pharmaceutical 59

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 71

Insurance Unstructured Data Hospitality Media 71

Knowledge Hut

APRIL 25, 2024

It refers to gathering and processing sizable amounts of data to produce insights that may be used by an organization to improve its various facets. Due to this, businesses from a variety of industries are concentrating on implementing this technology. The only component of this huge data analytics is data analytics.

Big Data 52

Big Data Data Analytics Manufacturing Retail 52

Knowledge Hut

DECEMBER 27, 2023

Many business owners and professionals are interested in harnessing the power locked in Big Data using Hadoop often pursue Big Data and Hadoop Training. What is Big Data? Big data is often denoted as three V’s: Volume, Variety and Velocity. Big data is often denoted as three V’s: Volume, Variety and Velocity.

Big Data Tools 59

Big Data Tools Big Data Hadoop Database-centric 59

Knowledge Hut

JUNE 23, 2023

By becoming more contextual and continuous, analytics should also become more flexible, owing to ML and AI technologies. The key advantage of adaptive analytics is that businesses can make choices based on real-time data with incredibly high accuracy What is Real-time Analytics? Who Uses Real-time Data Analytics?

Data Analytics 52

Data Analytics IT Transportation Analytics Architecture 52

Knowledge Hut

MARCH 19, 2024

AWS's computing power, storage, database management , and artificial intelligence technologies have benefited businesses of all sizes, from startups to multinational corporations. RDS should be utilized with NoSQL databases like Amazon OpenSearch Service (for text and unstructured data) and DynamoDB (for low-latency/high-traffic use cases).

AWS 52

AWS Amazon Web Services Hospitality Cloud Computing 52

Knowledge Hut

MAY 31, 2023

Web Development with MySQL When it comes to dynamic, responsive web development, few technologies come close to matching the power of JavaScript. By integrating MySQL into your JavaScript workflow via Node.js, you can empower yourself to develop sophisticated web applications capable of handling complex data tasks seamlessly.

Database 52

Database Coding MongoDB Project 52

Cloudera

NOVEMBER 18, 2021

Every one of our 22 finalists is utilizing cloud technology to push next-generation data solutions to benefit the everyday people who need it most – across industries including science, health, financial services and telecommunications. Data Lifecycle Connection. And this year has seen some truly remarkable work put forward.

Banking 76

Banking Data Lake Telecommunication Data 76