Snowflake

APRIL 8, 2024

Capable of a headless deployment into Snowpark Container Services, BigGeo can be used to speed up queries of data stored in Snowflake, gather those insights into a dashboard, visualize them on a map, and more. It deploys gen AI components as containers on Snowpark Container Services, close to the customer’s data.

Pipeline-centric 124

Pipeline-centric Food Healthcare Unstructured Data 124

Snowflake

OCTOBER 11, 2023

The growing role of data science in the modern business Today’s businesses are facing an unprecedented expansion of unstructured data that can permeate every department in an organization. Here are five trends that startups should keep an eye on in the months ahead.

Unstructured Data 99

Unstructured Data Cloud Data Science Finance 99

Data Engineering Weekly

MAY 8, 2023

The finance department has requested your assistance with their annual balance sheet, explicitly matching all entries from the company's bank account with receipts submitted by employees for their professional expenses. Unfortunately, this approach results in unstructured data that is difficult to work with.

Process 52

Process Banking Raw Data Finance 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

Snowflake

JANUARY 8, 2024

Additionally, the use of synthetic data generated by AI can speed up stress testing and the evaluation and prediction of exposure risks, including those related to fluctuating interest rates and potential defaults. Unlocking this potential requires breaking down data silos across the organization and with partners and external entities.

Unstructured Data 80

Unstructured Data Government Portfolio Insurance 80

Knowledge Hut

JANUARY 18, 2024

People are always looking to make their lives exciting, and therefore they take the support of the internet; this means that Big Data is continuously growing. If the decisions taken in an organization are data-driven, then a company can make smarter decisions. They also have platforms where data scientists can share their knowledge.

Data Science 98

Data Science Amazon Web Services Finance Big Data 98

Monte Carlo

JANUARY 16, 2024

Data lake and data warehouse convergence The data lake vs data warehouse question is constantly evolving. The maxim that data warehouses hold structured data while data lakes hold unstructured data is quickly breaking down.

Data Lake 52

Data Lake Data Warehouse Unstructured Data AWS 52

Towards Data Science

OCTOBER 7, 2023

Given LLMs’ capacity to understand and extract insights from unstructured data, businesses are finding value in summarizing, analyzing, searching, and surfacing insights from large amounts of internal information. Let’s explore how a few key sectors are putting gen AI to use. Generative AI plays a role in employee training.

Unstructured Data 77

Unstructured Data Finance SQL Media 77

Monte Carlo

OCTOBER 4, 2023

Given LLMs’ capacity to understand and extract insights from unstructured data, businesses are finding value in summarizing, analyzing, searching, and surfacing insights from large amounts of internal information. Let’s explore how a few key sectors are putting gen AI to use. Generative AI plays a role in employee training.

Unstructured Data 72

Unstructured Data Finance SQL Media 72

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 91

Insurance Unstructured Data Finance Machine Learning 91

Knowledge Hut

JUNE 27, 2023

Computer science is driving innovation in a variety of other industries, including healthcare, finance, & transport. In finance, computer science is facilitating faster, more secure, accurate transactions through blockchain and distributed ledger technologies. Applications: Finance, healthcare, supply chain, as well as voting.

Computer Science 52

Computer Science Entertainment Healthcare Finance 52

Knowledge Hut

JANUARY 18, 2024

Roles and Responsibilities Finding data sources and automating the data collection process Discovering patterns and trends by analyzing information Performing data pre-processing on both structured and unstructured data Creating predictive models and machine-learning algorithms Average Salary: USD 81,361 (1-3 years) / INR 10,00,000 per annum 3.

Data Science 98

Data Science Business Analyst ETL Method Data Architect 98

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

APRIL 10, 2023

The platform pushes the boundaries of natural language processing (NLP) with a diverse, rapidly expanding (and almost limitless) number of use cases that extends from automotive manufacturing and chemicals to HR, insurance, legal, finance, and government. From there, we can process information not unlike how humans do.

Unstructured Data 57

Unstructured Data Manufacturing Insurance Government 57

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

Knowledge Hut

JULY 28, 2023

Data Types and Dimensionality ML algorithms work well with structured and tabular data, where the number of features is relatively small. DL models excel at handling unstructured data such as images, audio, and text, where the data has a large number of features or high dimensionality. When to Use Deep Learning 1.

Deep Learning 52

Deep Learning Machine Learning Unstructured Data Algorithm 52

Towards Data Science

DECEMBER 4, 2023

We’ll build a data architecture to support our racing team starting from the three canonical layers : Data Lake, Data Warehouse, and Data Mart. 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.

Data Engineering 88

Data Engineering Data Engineer Engineering Data Lake 88

Knowledge Hut

NOVEMBER 3, 2023

MongoDB is a NoSQL database that’s been making rounds in the data science community. MongoDB’s unique architecture and features have secured it a place uniquely in data scientists’ toolboxes globally. Let us see where MongoDB for Data Science can help you.

MongoDB 52

MongoDB Data Science NoSQL ETL Tools 52

Knowledge Hut

MAY 2, 2024

Spark is being used in more than 1000 organizations who have built huge clusters for batch processing, stream processing, building warehouses, building data analytics engine and also predictive analytics platforms using many of the above features of Spark. Let’s look at some of the use cases in a few of these organizations.

Scala 52

Scala Hospitality Healthcare Retail 52

Knowledge Hut

DECEMBER 27, 2023

It enhances the students' abilities in Administration, Banking, Finance, Marketing , or Sales. The MBA course allows you to upskill your leadership roles in various sectors, including Banking, Finances, Sales, and many more. Masters in Finance Management Suppose you are struggling after BBA; which course is best?

Banking 52

Banking Recruitment Finance Portfolio 52

Cloudera

OCTOBER 28, 2021

In the last few years, Commercial Insurers have been making great strides in expanding the use of their data. The approach is very evolutionary; the initial focus tends to be aimed at cost savings and starts with structured data. This results in enhancements in finance reporting or compliance.

Insurance 94

Insurance Transportation Unstructured Data Manufacturing 94

Snowflake

JUNE 27, 2023

For example, if a centralized team is running Snowflake for several departments with different billing — let’s say HR, Finance, and IT — that central team can now see how many Snowflake credits each department is using. We’re going to summarize these new capabilities in this blog post.

Data Governance 57

Data Governance Unstructured Data Government SQL 57

ProjectPro

JANUARY 27, 2023

Real-World ETL Use Cases and Applications Across Industries This blog discusses the numerous ETL use cases in various industries, including finance, healthcare, and retail. Standard technology does a good job of handling structured data, numerical data, and transactions, but it struggles to retrieve and analyze textual data.

BI 52

BI ETL Tools Retail Healthcare 52

Cloudera

JANUARY 28, 2022

The question of the data to use will include the basics of transactional and enterprise data sources, but should expand to broader questions that will further shape the deployment strategy including third-party data, the need for real-time and/or unstructured data, ML and AI tools, etc.

Cloud 109

Cloud Banking Data Governance Government 109

Monte Carlo

JULY 19, 2023

The first layer of your stack will generally fall into one of three categories: a data warehouse solution like Snowflake that handles predominantly structured data; a data lake that focuses on larger volumes of unstructured data; and a hybrid solution like Databricks’ Lakehouse that combines elements of both.

Building 96

Building Business Intelligence Cloud Storage BI 96

Knowledge Hut

NOVEMBER 28, 2023

Computer science, mathematics, and statistics training are often required for data science positions. Data scientists do more than just model and process structured and unstructured data; they also translate the results into useful strategies for stakeholders.

Data Science 52

Data Science Telecommunication Recruitment Finance 52

Cloudera

DECEMBER 3, 2020

The data being captured in forms of structured and unstructured data can unlock new insights. Leveraging CDP, the cloud can store the structured and unstructured data, and allow new types of data, processes, and models based on real-time analytics to be spun up and scaled faster than ever before.

Insurance 53

Insurance Unstructured Data Healthcare Manufacturing 53

Cloudera

APRIL 20, 2021

Finance/Banks : Modernize bank’s customer application by incorporating streaming capabilities to millions of customer interactions without failure and better customer experience. Companies tried processing these data through batch processing but saw workloads run much slower from hours to days.

Hospitality 91

Hospitality Kafka Retail Data Ingestion 91

Knowledge Hut

MAY 31, 2023

The development process may include tasks such as building and training machine learning models, data collection and cleaning, and testing and optimizing the final product. Impact: AI can positively impact society, from healthcare and education to finance and transportation.

Project 96

Project Healthcare Deep Learning Transportation 96

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 Medical Data Science Business Intelligence 40

Knowledge Hut

JULY 26, 2023

They frequently include features like down sampling, data preservation regulations, and time-based functionalities. These databases are widely utilized in a variety of industries, including finance, energy, telecommunications, and monitoring systems. Cloud-based databases provide flexibility, scalability, and cost-effectiveness.

Database 52

Database NoSQL Telecommunication MongoDB 52

Knowledge Hut

SEPTEMBER 29, 2023

The Azure Data Engineer Certification test evaluates one's capacity for organizing and putting into practice data processing, security, and storage, as well as their capacity for keeping track of and maximizing data processing and storage. They control and safeguard the flow of organized and unstructured data from many sources.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Towards Data Science

JULY 21, 2023

The first layer of your stack will generally fall into one of three categories: a data warehouse solution like Snowflake that handles predominantly structured data; a data lake that focuses on larger volumes of unstructured data; and a hybrid solution like Databricks’ Lakehouse that combines elements of both.

Building 84

Building Business Intelligence BI Cloud Storage 84

Edureka

AUGUST 2, 2023

Data processing analysts are experts in data who have a special combination of technical abilities and subject-matter expertise. They are essential to the data lifecycle because they take unstructured data and turn it into something that can be used.

Data Process 52

Data Process Process Data Cleanse Data Mining 52

Knowledge Hut

JUNE 20, 2023

Search-Based Discovery Tools Search-based discovery tools allow users to utilize search terms in order to create and improve views and perform analysis of both structured and unstructured data. Business analysts perform the process of making a portfolio of potential candidates who may prove to be an asset to the company.

Business Analyst 52

Business Analyst Banking Unstructured Data Cloud Computing 52

Knowledge Hut

JULY 4, 2023

Here is a list of the sectors currently giving data analyst highest salary. While senior scientists easily surpass the $130,000 threshold.

Data Analytics 52

Data Analytics Data Architect Transportation Data Science 52

Databand.ai

JULY 11, 2023

Data quality platforms can be standalone solutions or integrated into broader data management ecosystems, such as data integration, business intelligence (BI), or data analytics tools. In this article: Why Do You Need a Data Quality Platform?

Data Cleanse 52

Data Cleanse Telecommunication High Quality Data BI 52