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 84

Insurance Media Unstructured Data Machine Learning 84

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

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

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

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 77

Retail Cloud Unstructured Data Deep Learning 77

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

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

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

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

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

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

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

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

Cloudera

DECEMBER 11, 2020

Insurance and finance are two industries that rely on measuring risk with historical data models. They have traditionally been slower-moving to adopt new structured and unstructured data inputs as regulatory considerations are always top of mind. This can be done at speed, and at scale.

Insurance 94

Insurance Unstructured Data Finance Machine Learning 94

Data Engineering Podcast

FEBRUARY 24, 2019

To help other people find the show please leave a review on iTunes , or Google Play Music , tell your friends and co-workers, and share it on social media. To help other people find the show please leave a review on iTunes , or Google Play Music , tell your friends and co-workers, and share it on social media.

Deep Learning 100

Deep Learning Data Engineer Data Engineering Engineering 100

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

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 90

Data Ingestion MySQL PostgreSQL Data Pipeline 90

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 74

Banking Education Unstructured Data Algorithm 74

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

AltexSoft

JUNE 26, 2023

From the perspective of data science, all miscellaneous forms of data fall into three large groups: structured, semi-structured, and unstructured. Key differences between structured, semi-structured, and unstructured data. Unstructured data represents up to 80-90 percent of the entire datasphere.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-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

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 Recruitment Retail Transportation 52

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 72

Insurance Unstructured Data Hospitality Media 72

RandomTrees

JUNE 17, 2024

Deep learning algorithms can analyze complex data structures or even unstructured data sources. Natural Language Processing (NLP) AI systems can evaluate text information such as emails, chat logs, posts on social media platforms, etc., about anything suspicious using Natural language processing (NLP).

Banking 52

Banking Deep Learning Machine Learning Finance 52

Data Engineering Weekly

MAY 8, 2023

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. This data collection method was chosen because it was simple to deploy, with each employee responsible for their own receipts.

Process 52

Process Banking Raw Data Finance 52

U-Next

AUGUST 18, 2022

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. Both organized and unstructured data are used in Data Science. Data Science is thus entirely concerned with the present moment.

Unstructured Data 40

Unstructured Data Data Science Medical Business Intelligence 40

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

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.

Scala 98

Scala Hadoop Healthcare Big Data 98

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 95

Kafka Hospitality Retail Data Ingestion 95

Knowledge Hut

MAY 2, 2024

Streaming Data: Streaming is basically unstructured data produced by different types of data sources. The portal uses the data added by users about their food, exercise and lifestyles to identify the best quality food and effective exercise. What are the Different Apache Spark Applications?

Scala 52

Scala Hospitality Healthcare Machine Learning 52

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 Engineer 98

Data Engineer Data Engineering Coding Project 98

Monte Carlo

MAY 28, 2024

Popular Data Ingestion Tools Choosing the right ingestion technology is key to a successful architecture. Common Tools Data Sources Identification with Apache NiFi : Automates data flow, handling structured and unstructured data. Used for identifying and cataloging data sources.

Data Ingestion 52

Data Ingestion Architecture Designing Hadoop 52

U-Next

SEPTEMBER 9, 2022

The platform distributes Hadoop large data and analytics operations among computer cluster nodes, breaking them down into smaller workloads that may be handled in parallel. Hadoop can scale up from a single server to thousands of servers and analyze organized and unstructured data. . What is Hadoop in Big Data? .

Hadoop 40

Hadoop Big Data Management Unstructured Data 40

AltexSoft

AUGUST 29, 2023

Unlike traditional DWs, cloud data warehouses like Snowflake, BigQuery, and Redshift come pre-equipped with advanced features; learn more about the differences in our dedicated article. Unlike data warehouses, data lakes allow a schema-on-read approach, enabling greater flexibility in data storage.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

U-Next

AUGUST 25, 2022

Or, to put it another way, the MongoDB server transforms the JSON data into a more economical BSON binary format in the backend, which is then stored and queried. We can store layered data in MongoDB objects. In contrast to MySQL, MongoDB can store documents of varying schemas, including unstructured data sets.

MongoDB 40

MongoDB Architecture NoSQL MySQL 40

Knowledge Hut

JULY 26, 2023

Facebook, on the other hand, as a social media giant, has created its own database solutions to handle large amounts of user data. RDBMSs such as MySQL and PostgreSQL provide structured storage, defined relationships, and data integrity. Cloud-based databases provide flexibility, scalability, and cost-effectiveness.

Database 52

Database NoSQL Telecommunication MongoDB 52