Knowledge Hut

JANUARY 30, 2024

Its flexibility allows organizations to leverage data value, regardless of its format or source, and can reside in various storage environments, from on-premises solutions to cloud-based platforms or a hybrid approach, tailored to the organization's specific needs and strategies. What is the purpose of extracting data?

ETL Tools 52

ETL Tools Database-centric Data Mining Raw Data 52

Monte Carlo

MAY 28, 2024

By following these steps, businesses efficiently transform chaotic information influxes into well-organized data pipelines, ensuring effective data utilization. A typical data ingestion flow. Popular Data Ingestion Tools Choosing the right ingestion technology is key to a successful architecture.

Data Ingestion 52

Data Ingestion Architecture Designing Hadoop 52

U-Next

MARCH 1, 2023

Let’s take a look at Morgan Stanley interview question : What is data engineering? The data engineering process involves the creation of systems that enable the collection and utilization of data. Analyzing this data often involves Machine Learning, a part of Data Science. What is a data warehouse?

Data Engineering 75

Data Engineering Data Engineer Non-relational Database Engineering 75

Precisely

APRIL 30, 2024

In addition to RPA software’s limitations when dealing with complex processes, there are more technical constraints that can limit the utility of RPA bots. These include: Structured data dependence: RPA solutions thrive on well-organized, predictable data.

Unstructured Data 58

Unstructured Data Government Data Validation Programming 58

Cloudera

JUNE 7, 2022

We live in a hybrid data world. In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB.

IT 115

IT Unstructured Data Data Architecture Government 115

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. Utilize in-application action extensions to speed up the path from insight to impact.

Unstructured Data 85

Unstructured Data Data Warehouse Pharmaceutical MySQL 85

AltexSoft

AUGUST 29, 2023

The term data lake itself is metaphorical, evoking an image of a large body of water fed by multiple streams, each bringing new data to be stored and analyzed. Instead of relying on traditional hierarchical structures and predefined schemas, as in the case of data warehouses, a data lake utilizes a flat architecture.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Cloudera

DECEMBER 11, 2020

Crucial to Merck KGaA’s success is the ability to access and utilize data from across the enterprise that is GxP regulated and qualified. Powered and supported by Cloudera, this framework brings together disparate data sources, combining internal data with public data, and structured data with unstructured data.

Data Lake 98

Data Lake Government Data Security Unstructured Data 98

Knowledge Hut

MAY 31, 2023

Artificial intelligence (AI) projects are software-based initiatives that utilize machine learning, deep learning, natural language processing, computer vision, and other AI technologies to develop intelligent programs capable of performing various tasks with minimal human intervention. Let us get started!

Project 96

Project Healthcare Deep Learning Transportation 96

DataKitchen

FEBRUARY 27, 2024

Challenges in Developing Reliable LLMs Organizations venturing into LLM development encounter several hurdles: Data Location: Critical data often resides in spreadsheets, characterized by a blend of text, logic, and mathematics.

Data Engineering 46

Data Engineering Data Engineer Engineering Unstructured Data 46

phData: Data Engineering

SEPTEMBER 19, 2023

With the amount of data companies are using growing to unprecedented levels, organizations are grappling with the challenge of efficiently managing and deriving insights from these vast volumes of structured and unstructured data. With the amounts of data involved, this can be crucial to utilizing a data lake effectively.

Data Lake 52

Data Lake Process Metadata Data Warehouse 52

ProjectPro

FEBRUARY 16, 2023

On the other hand, business intelligence is a technology utilized to make better decisions in business solutions. Focus Historical data analysis, reporting, and visualization. Input Data Structured data from various sources, such as databases, spreadsheets, and ERP systems. The debate between AI and BI is not new.

Business Intelligence 52

Business Intelligence BI Data Mining Algorithm 52

Striim

AUGUST 22, 2024

This layer leverages data integration platforms like Striim to connect to various data sources, ingest streaming data, and deliver it to various targets. Organizations seeking a mature, structured data solution that focuses on business intelligence and data analytics use cases may consider a data warehouse.

Data Warehouse 52

Data Warehouse Retail Machine Learning Database 52

Silectis

JANUARY 3, 2021

BI (Business Intelligence) Strategies and systems used by enterprises to conduct data analysis and make pertinent business decisions. Big Data Large volumes of structured or unstructured data. Data lakes allow for more flexibility than a more rigid data warehouse.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Knowledge Hut

JUNE 16, 2023

In today's data-driven world, organizations are trying to find valuable insights from the vast sets of data available to them. That is where Data analytics comes into the picture - guiding organizations to make smarter decisions by utilizing statistical and computational methods.

Programming Language 52

Programming Language Data Science Cloud Computing Data Analytics 52

Knowledge Hut

MAY 31, 2023

Business Intelligence is closely knitted to the field of data science since it leverages information acquired through large data sets to deliver insightful reports. Companies utilize different approaches to deal with data in order to extract information from structured, semi-structured, or unstructured data sets.

Business Intelligence 52

Business Intelligence BI Business Analyst Consulting 52

ProjectPro

DECEMBER 7, 2021

In broader terms, two types of data -- structured and unstructured data -- flow through a data pipeline. The structured data comprises data that can be saved and retrieved in a fixed format, like email addresses, locations, or phone numbers. Step 1- Automating the Lakehouse's data intake.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

ProjectPro

SEPTEMBER 9, 2021

Apache Hive and Apache Spark are the two popular Big Data tools available for complex data processing. To effectively utilize the Big Data tools, it is essential to understand the features and capabilities of the tools. Spark SQL, for instance, enables structured data processing with SQL.

Hadoop 52

Hadoop Big Data Tools Java SQL 52

Knowledge Hut

DECEMBER 29, 2023

There are many data science fields in which experts may contribute to the success of a business, and you can hone the abilities you need by specializing in data science subfields. Data Engineering and Warehousing The data is the lifeblood of every successful Data Science endeavor.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

Knowledge Hut

JULY 26, 2023

Variety: Variety represents the diverse range of data types and formats encountered in Big Data. Traditional data sources typically involve structured data, such as databases and spreadsheets. Handling this variety of data requires flexible data storage and processing methods.

Big Data 52

Big Data Data Cleanse Retail Healthcare 52

Striim

SEPTEMBER 11, 2024

In an ETL-based architecture, data is first extracted from source systems, then transformed into a structured format, and finally loaded into data stores, typically data warehouses. This method is advantageous when dealing with structured data that requires pre-processing before storage.

Data Pipeline 98

Data Pipeline Designing Data Lake Data Warehouse 98

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. JP Morgan has massive amounts of data on what its customers spend and earn.

Hadoop 52

Hadoop Big Data Data Analytics Banking 52

ProjectPro

OCTOBER 18, 2021

Regression analysis: This technique talks about the predictive methods that your system will execute while interacting between dependent variables (target data) and independent variables (predictor data). Modern cybersecurity systems are utilizing machine learning methods a lot. Spam email detecting systems are one of them.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

Snowflake

JUNE 5, 2024

Enterprises can utilize gen AI to extract more value from their data and build conversational interfaces for customer and employee applications. Snowflake AI & ML Studio for LLMs (private preview): Enable users of all technical levels to utilize AI with no-code development.

Coding 112

Coding Building Management Government 112

Knowledge Hut

AUGUST 16, 2024

It helps in analyzing the relationship between functions and their inputs, and machine learning is all about trying to find inputs that enable a function to best match the data. Machine Learning utilizes concepts from Calculus to understand the relationship between data.

Data Science 52

Data Science Hadoop Unstructured Data Programming Language 52

RandomTrees

SEPTEMBER 17, 2024

Data Discovery: Users can find and use data more effectively because to Unity Catalog’s tagging and documentation features. Unified Governance: It offers a comprehensive governance framework by supporting notebooks, dashboards, files, machine learning models, and both organized and unstructured data.

Data Governance 52

Data Governance Government Metadata Machine Learning 52

Monte Carlo

AUGUST 25, 2023

Understanding data warehouses A data warehouse is a consolidated storage unit and processing hub for your data. Teams using a data warehouse usually leverage SQL queries for analytics use cases. This same structure aids in maintaining data quality and simplifies how users interact with and understand the data.

Data Lake 52

Data Lake Data Warehouse Unstructured Data Raw Data 52

ProjectPro

NOVEMBER 14, 2015

Data Integration 3.Scalability Specialized Data Analytics 7.Streaming Cloud hosting also allows organizations to pay for actual space utilized whereas in procuring physical storage, companies have to keep in mind the growth rate and procure more space than required. Scalability 4.Link Link Prediction 5.Cloud Cloud Hosting 6.Specialized

Hadoop 52

Hadoop Project Big Data Healthcare 52

Knowledge Hut

APRIL 25, 2024

Users may more quickly gain insights by using interactive dashboards and point-and-click data exploration to better understand the broader picture. This technique utilizes less network gear and uses less energy, but it may only be a temporary cure for many big data analytics platform characteristics, especially if more growth is anticipated.

Big Data 52

Big Data Data Analytics Manufacturing Retail 52

Edureka

JANUARY 18, 2024

For those looking to start learning in 2024, here is a data science roadmap to follow. What is Data Science? Data science is the study of data to extract knowledge and insights from structured and unstructured data using scientific methods, processes, and algorithms.

Data Science 40

Data Science Deep Learning Machine Learning NoSQL 40

Knowledge Hut

JULY 24, 2023

NoSQL Databases NoSQL databases are non-relational databases (that do not store data in rows or columns) more effective than conventional relational databases (databases that store information in a tabular format) in handling unstructured and semi-structured data.

Database 52

Database NoSQL Management Relational Database 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

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 90

Systems Hadoop Metadata Telecommunication 90

Monte Carlo

APRIL 1, 2021

In data lakes, data is distributed, making it difficult to document as data evolves over the course of its lifecycle. Unstructured data is problematic as it relates to data catalogs because it’s not organized, and if it is, it’s often not declared as organized. Image courtesy of Barr Moses.

Data Lake 52

Data Lake Unstructured Data Data Warehouse Metadata 52

ProjectPro

JANUARY 27, 2023

However, the vast volume of data will overwhelm you if you start looking at historical trends. The time-consuming method of data collection and transformation can be eliminated using ETL. You can analyze and optimize your investment strategy using high-quality structured data.

BI 52

BI ETL Tools Retail Healthcare 52

AltexSoft

MAY 12, 2023

In today’s data-driven world, organizations amass vast amounts of information that can unlock significant insights and inform decision-making. A staggering 80 percent of this digital treasure trove is unstructured data, which lacks a pre-defined format or organization. What is unstructured data?

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Monte Carlo

JUNE 14, 2023

Amazon S3 – An object storage service for structured and unstructured data, S3 gives you the compute resources to build a data lake from scratch. Amazon Kinesis – A streaming solution from AWS that may be ideal for those utilizing Redshift as their data warehouse.

Data Pipeline 52

Data Pipeline Architecture Data Lake Data Warehouse 52