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. However, the vast volume of data will overwhelm you if you start looking at historical trends.

BI 52

BI ETL Tools Retail Healthcare 52

Knowledge Hut

NOVEMBER 3, 2023

MongoDB is used for data science, meaning that we utilize the capabilities of this NoSQL database system as part of our data analysis and data modeling processes, which fall under the realm of data science. There are several benefits to MongoDB for data science operations.

MongoDB 52

MongoDB Data Science NoSQL ETL Tools 52

Monte Carlo

JANUARY 16, 2024

Data issues identified and resolved faster A bright and rapidly evolving future 1. 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

Monte Carlo

JULY 19, 2023

Before you can model the data for your stakeholders, you need a place to collect and store it. What is important is that you select a solution that meets both the current and future needs of your platform at a resource cost that’s amenable to your finance team. You’ll field new dashboard requests from finance and marketing.

Building 96

Building Business Intelligence Cloud Storage BI 96

Knowledge Hut

MARCH 18, 2024

It is a message protocol specification for exchanging structured data. It sends XML data in the form of messages. The message in XML data has 4 parts: Envelope, Header, Body and Fault. They are widely used in enterprise-level applications. Each message comes with an attached XML document.

Cloud Computing 52

Cloud Computing Programming Language Amazon Web Services Transportation 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 96

Insurance Transportation Unstructured Data Manufacturing 96

Data Engineering Weekly

DECEMBER 18, 2022

Today, the biggest reported revenue effects are found in marketing and sales, product and service development , and strategy and corporate finance, and respondents report the highest cost benefits from AI in supply chain management The tech talent shortage shows no sign of easing, threatening to slow that shift for some companies.

Data Engineering 52

Data Engineering Data Engineer Engineering Relational Database 52

Knowledge Hut

JULY 24, 2023

Disruptive database technologies include, for instance: Blockchain Blockchain is a distributed ledger technology that enables data to be safely stored across several nodes in a decentralized (or sometimes in a centralized) manner. In-memory Databases For applications that demand real-time data processing, in-memory databases are created.

Database 52

Database NoSQL Management Relational Database 52

Cloudera

NOVEMBER 15, 2021

In terms of representation, data can be broadly classified into two types: structured and unstructured. Structured data can be defined as data that can be stored in relational databases, and unstructured data as everything else.

Unstructured Data 88

Unstructured Data Pipeline-centric Database-centric Entertainment 88

Knowledge Hut

NOVEMBER 28, 2023

The data goes through various stages, such as cleansing, processing, warehousing, and some other processes, before the data scientists start analyzing the data they have garnered. The data analysis stage is important as the data scientists extract value and knowledge from the processed, structured data.

Data Science 52

Data Science Telecommunication Recruitment Finance 52

Towards Data Science

JULY 21, 2023

Before you can model the data for your stakeholders, you need a place to collect and store it. However, this won’t simply be where you store your data — it’s also the power to activate it. It will also dictate what tools and solutions you’ll be able to connect in the future to fine-tune your data stack for new use cases.

Building 79

Building Business Intelligence BI Cloud Storage 79

Knowledge Hut

NOVEMBER 28, 2023

As a result, most companies are transforming into data-driven organizations harnessing the power of big data. Here Data Science becomes relevant as it deals with converting unstructured and messy data into structured data sets for actionable business insights.

Data Architect 52

Data Architect Data Science Certification Big Data 52

Knowledge Hut

FEBRUARY 16, 2023

After the inception of databases like Hadoop and NoSQL, there's a constant rise in the requirement for processing unstructured or semi-structured data. Data Engineers are responsible for these tasks. Finance Herewith is the list of the top 10 finance companies in the USA, displaying data engineer salary in America.

Data Engineering 52

Data Engineering Data Engineer Engineering Healthcare 52

Monte Carlo

JANUARY 27, 2024

Before you can model the data for your stakeholders, you need a place to collect and store it. What is important is that you select a solution that meets both the current and future needs of your platform at a resource cost that’s amenable to your finance team. You’ll field new dashboard requests from finance and marketing.

Building 52

Building Business Intelligence Cloud Storage BI 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

Edureka

AUGUST 2, 2023

Data integration and transformation: Before analysis, data must frequently be translated into a standard format. Data processing analysts harmonise many data sources for integration into a single data repository by converting the data into a standardised structure.

Data Process 52

Data Process Process Data Cleanse Data Mining 52

Knowledge Hut

DECEMBER 6, 2023

If you are fascinated by massive data sets and numbers, this is the best career option for you. There are many online Data Science courses available, from which you can find the best course that excites you. Salary Blockchain developers can make up to 45 LPA, making it one of the highest-paying careers in India.

Programming Language 52

Programming Language Data Cleanse Computer Science Education 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. Note, though, that not any type of web scraping is legal.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

Knowledge Hut

JULY 28, 2023

ML algorithms are versatile and widely used across various domains, including finance, healthcare, marketing , and recommendation systems. DL models have demonstrated superior performance in several domains, particularly in tasks involving complex and unstructured data.

Deep Learning 52

Deep Learning Machine Learning Unstructured Data Algorithm 52

Knowledge Hut

JUNE 19, 2023

Businesses use various data visualization techniques to present information from structured, semi-structured, or unstructured data collections. Adapting to business intelligence skills is necessary to survive in the rapidly growing technology industry.

Business Intelligence 52

Business Intelligence BI Programming Language Recruitment 52

AltexSoft

AUGUST 29, 2023

Data sources can be broadly classified into three categories. Structured data sources. These are the most organized forms of data, often originating from relational databases and tables where the structure is clearly defined. Semi-structured data sources.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Precisely

OCTOBER 5, 2023

Determine what data you’ll need Once you’ve determined the use case, brainstorm and dig deeper into what your end goals are and what you need to know to get there. For example, will you need structured data, unstructured, or a combination?

Raw Data 67

Raw Data Insurance Datasets Telecommunication 67

Knowledge Hut

NOVEMBER 16, 2023

These skills demonstrate the immense scope of Generative AI tools and systems in a wide variety of industries, such as entertainment, healthcare, finance, and several others. An example of such a tool is Arria NLG, which converts data into natural language.

Medical 52

Medical Healthcare Hospitality Entertainment 52

ProjectPro

SEPTEMBER 29, 2021

Evolution of Machine Learning Applications in Finance : From Theory to Practice What is Artificial Intelligence? Applying Machine learning techniques to NLP problems would require converting unstructured text data into structured data ( usually tabular format).

Machine Learning 52

Machine Learning Deep Learning Algorithm Datasets 52

ProjectPro

NOVEMBER 22, 2021

show(truncate=False) #Drop duplicates on selected columns dropDisDF = df.dropDuplicates(["department","salary"]) print("Distinct count of department salary : "+str(dropDisDF.count())) dropDisDF.show(truncate=False) } Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization Q6.

Hadoop 52

Hadoop Python Datasets Metadata 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

AltexSoft

AUGUST 4, 2021

A data mart is a smaller subsection of a data warehouse built specifically for a particular subject area, business function, or group of users. The main idea is to provide a particular part of an organization with data that is the most relevant for their analytical needs.

Data Lake 64

Data Lake Data Warehouse ETL Tools Telecommunication 64

Ascend.io

JUNE 8, 2023

Data Ingestion Data in today’s businesses come from an array of sources, including various clouds, APIs, warehouses, and applications. This multitude of sources often causes a dispersed, complex, and poorly structured data landscape.

Pipeline-centric 52

Pipeline-centric Database-centric Data Ingestion Data Pipeline 52

ProjectPro

OCTOBER 18, 2021

Students who are inclined to work in finance or fintech sectors must have this on their resume. There is a broad spectrum of data available on finance and the stock market. From the outset of machine learning, it was challenging to work with unstructured data (image dataset) and transform it into structured data (texts).

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

AltexSoft

JULY 18, 2023

Spark SQL brings native support for SQL to Spark and streamlines the process of querying semistructured and structured data. Many industries, from telecommunications to finance and healthcare, use Spark to run ELT and ETL (Extract, Transform, Load) operations, where vast amounts of data are prepared for further analysis.

Big Data 52

Big Data Data Process Process Hadoop 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. The ability of the finance department to manage performance is improved by FP&A systems that relate the corporate strategy to execution.

Business Analyst 98

Business Analyst Business Intelligence SQL Programming Language 98

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

Monte Carlo

AUGUST 31, 2021

As all of this is going on, you get texted by John in Finance about an errant table in his spreadsheet, and Eleanor in Operations about a query that pulled interesting results. What is a data engineer to do? If this situation sounds familiar to you, know that you are not alone. Image courtesy of Monte Carlo.

Data Pipeline 52

Data Pipeline Software Engineer Software Engineering Data 52

ProjectPro

MARCH 17, 2021

Evolution of Machine Learning Applications in Finance : From Theory to Practice Let’s understand this with an example where you want the machine learning algorithm to categorize the images in the collection according to the two categories of fruits: Apples and Oranges.

Deep Learning 52

Deep Learning Machine Learning Algorithm Datasets 52

Ascend.io

JULY 19, 2023

Here are a few of the most common issues with data meshes: Identify data domains within your organization. These could range from functional groups like sales, marketing, and finance, to broader LOB units which would likely be further broken down into sub-domains.

Data Governance 40

Data Governance Government Metadata Data 40

ProjectPro

JANUARY 31, 2023

Data Variety Hadoop stores structured, semi-structured and unstructured data. RDBMS stores structured data. Data storage Hadoop stores large data sets. RDBMS stores the average amount of data. Works with only structured data. Hardware Hadoop uses commodity hardware.

Big Data 52

Big Data Hadoop AWS Relational Database 52

Rockset

MAY 21, 2021

Leaderboards are not exclusive to gaming- many industries will use them to promote behaviors and enhance social connections including in the realms of fitness, finance and the environment. Rumble is an example of a health and wellness company that uses leaderboard gamification to count steps.

Retail 40

Retail Algorithm Big Data Data Analytics 40