Rockset

AUGUST 2, 2023

For one, the company decided to invest in an API Insights Lab where customers and partners across suppliers, carriers, governments and insurance companies could use maritime data as part of their internal systems and workflows.

Database-centric 52

Database-centric PostgreSQL Transportation Insurance 52

Knowledge Hut

JANUARY 30, 2024

Goal To extract and transform data from its raw form into a structured format for analysis. To uncover hidden knowledge and meaningful patterns in data for decision-making. Data Source Typically starts with unprocessed or poorly structured data sources. Analyzing and deriving valuable insights from data.

ETL Tools 52

ETL Tools Database-centric Data Mining Data Cleanse 52

Knowledge Hut

MAY 2, 2024

To store and process even only a fraction of this amount of data, we need Big Data frameworks as traditional Databases would not be able to store so much data nor traditional processing systems would be able to process this data quickly. Also, Spark and MapReduce do complement each other on many occasions.

Scala 96

Scala Hadoop Datasets Java 96

Rockset

APRIL 26, 2023

An insurance company sets thresholds for various types of support tickets, identifying issues with services or products before they affect revenue. The majority of anomaly detectors require streaming data, real-time data and historical data in order to generate inferences.

Architecture 52

Architecture Transportation Data Lake Insurance 52

Cloudera

SEPTEMBER 15, 2022

Today’s platform owners, business owners, data developers, analysts, and engineers create new apps on the Cloudera Data Platform and they must decide where and how to store that data. Structured data (such as name, date, ID, and so on) will be stored in regular SQL databases like Hive or Impala databases.

Systems 87

Systems Hadoop Metadata Telecommunication 87

Knowledge Hut

JANUARY 11, 2024

Data science is the field of study that deals with a huge volume of data using modern technologically driven tools and techniques to find some sort of pattern and derive meaningful information out of it that eventually helps in business and financial decisions.

Finance 93

Finance Data Science Programming Language Machine Learning 93

Cloudera

SEPTEMBER 17, 2020

They were not able to quickly and easily query and analyze huge amounts of data as required. They also needed to combine text or other unstructured data with structured data and visualize the results in the same dashboards. Events or time-series data served by our real-time events or time-series data store solutions.

Unstructured Data 81

Unstructured Data Data Warehouse Pharmaceutical MySQL 81

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. The difference between data warehouses, lakes, and marts.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

U-Next

SEPTEMBER 21, 2022

Not all of this data is erroneous. The majority of this unstructured, meaningless data can be well converted into a more organized (tabular/more comprehensible) format. In simpler terms, good data use implies thriving businesses. . Investment and Insurance sector . Medicine . Entertainment and more . Retail chains .

Data Mining 40

Data Mining Data Warehouse Business Intelligence Retail 40

Rockset

DECEMBER 31, 2022

Storage of inconsistent schema items If your data objects are required to be stored in inconsistent schemas, DynamoDB can manage that. He has focused on developing algorithms to detect fraud, reduce patient readmission and redesign insurance provider policy to help reduce the overall cost of healthcare.

Non-relational Database 52

Non-relational Database Healthcare Amazon Web Services NoSQL 52

Snowflake

APRIL 20, 2023

The new features also enable customers to easily search in logs and semi-structured data stored in VARIANT, ARRAY, and OBJECT columns, which prove to be especially useful for cybersecurity vendors who perform needle-in-a-haystack-type queries.

Medical 57

Medical Retail Python Pharmaceutical 57

Cloudera

NOVEMBER 25, 2020

A discovery data warehouse is a modern data warehouse that easily allows for augmentation of existing reports and structured data with new unstructured data types, and that can flexibly scale with volume and compute needs.

Data Warehouse 58

Data Warehouse Unstructured Data Medical Pharmaceutical 58

AltexSoft

MAY 30, 2022

The main idea here is to take the unstructured utterance in a simple human language and extract structured data that an assistant then can use to understand what the input is about. So, when the message is picked up by a system, it is sent to the input analyzer module where the NLU engine resides.

Banking 52

Banking Machine Learning Deep Learning Insurance 52

Knowledge Hut

OCTOBER 24, 2023

SQL and SQL Server BAs must deal with the organization's structured data. BAs can store and process massive volumes of data with the use of these databases. Knowledge of the business domain A business industry like banking, insurance, manufacturing, etc.

Business Analyst 98

Business Analyst Business Intelligence SQL Programming Language 98

AltexSoft

JULY 19, 2022

So, to avoid any confusion, please be aware that data mesh is NOT. a data fabric, which is a single environment consisting of a unified architecture, and services or technologies running on that architecture. Data is owned, provisioned, and governed by domain teams.

Architecture 52

Architecture Data Lake Medical Datasets 52

AltexSoft

OCTOBER 25, 2021

But a lot of data (by different estimations, 70 or 80 percent of all clinical data) remains unstructured , kept in textual reports, clinical notes, observations, and other narrative text. Unstructured data is unavoidable, yet extremely valuable. However useful, CDSSs are mostly limited to processing only structured data.

Medical 52

Medical Healthcare Process Hospitality 52

ProjectPro

AUGUST 6, 2015

Companies like Electronic Arts, Riot Games are using big data for keeping a track of game play which helps predict performance of the play by analysing 4TB of operational logs and 500GB of structured data. Sports brands like ESPN have also got on to the big data bandwagon.

Big Data 52

Big Data Hadoop Insurance Media 52

Knowledge Hut

MAY 4, 2023

A Data Engineer is a professional who deals with data-related tasks such as creating, testing, and maintaining an organization's data infrastructure. Data engineers are professionals who play a consistent role in building data warehouses to store data and data pipelines to feed data into those structures.

Data Engineering 52

Data Engineering Data Engineer Engineering Banking 52

ProjectPro

MARCH 15, 2016

Big Data and Hadoop technology is also applied in the Healthcare Insurance Business. Using distributed database system within healthcare intelligence applications - assists medical insurance companies, hospitals and beneficiaries to increase their product value by devising smart business solutions.

Hadoop 40

Hadoop Retail Healthcare Banking 40

ProjectPro

JULY 13, 2015

Large commercial banks like JPMorgan have millions of customers but can now operate effectively-thanks to big data analytics leveraged on increasing number of unstructured and structured data sets using the open source framework - Hadoop.

Hadoop 52

Hadoop Big Data Data Analytics Banking 52

phData: Data Engineering

JULY 18, 2023

Demands on the cloud data warehouse are also evolving to require it to become more of an all-in-one platform for an organization’s analytics needs. Enter Snowflake The Snowflake Data Cloud is one of the most popular and powerful CDW providers.

Data Warehouse 52

Data Warehouse Pipeline-centric Government Data 52

ProjectPro

MARCH 14, 2014

Healthcare industries are using big data analytical capabilities to make better sense of changing healthcare environment by providing personalized medicine, cancer treatment and genomics, monitoring patient vitals, fraud prevention and detection of healthcare insurance, etc. Hadoop is used at eBay for Search Optimization and Research.

Hadoop 40

Hadoop Big Data Data Mining Retail 40

ProjectPro

AUGUST 24, 2021

A related example is when a vendor or insurer wants to know the number of products that will be returned because of failures. This data engineering project uses the following big data stack - Azure Structured Query Language (SQL) Database instance for persistent storage; to store forecasts and historical distribution data.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

ProjectPro

NOVEMBER 14, 2015

Objective and Summary of the project: With social media sites gaining popularity, it has become quite crucial to handle the security and pattern of various data types of the application. The use of Facebook or something similar is at every home around the globe, thus producing tons of data.

Hadoop 52

Hadoop Project Big Data Healthcare 52