Knowledge Hut

APRIL 23, 2024

Data storing and processing is nothing new; organizations have been doing it for a few decades to reap valuable insights. Compared to that, Big Data is a much more recently derived term. So, what exactly is the difference between Traditional Data and Big Data? Smaller and more cost-effective ways of managing data.

Big Data 52

Big Data Relational Database Data Datasets 52

Knowledge Hut

JANUARY 30, 2024

Whether you're a seasoned data scientist or just stepping into the world of data, come with me as we unravel the secrets of data extraction and learn how it empowers us to unleash the full potential of data. What is data extraction? What is the purpose of extracting data?

ETL Tools 52

ETL Tools Database-centric Data Mining Data Cleanse 52

Knowledge Hut

APRIL 23, 2024

Big data has revolutionized the world of data science altogether. With the help of big data analytics, we can gain insights from large datasets and reveal previously concealed patterns, trends, and correlations. Learn more about the 4 Vs of big data with examples by going for the Big Data certification online course.

Big Data 52

Big Data Media Datasets Unstructured Data 52

Striim

MAY 1, 2024

UPS Capital provides customs brokerage services to navigate import/export processes, supply chain optimization tools like supply chain analytics and inventory management, and technology solutions like the UPS Capital Merchant Services platform and UPS Capital Cargo Finance platform.

Google Cloud 52

Google Cloud Insurance Finance Machine Learning 52

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.

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Project Healthcare Deep Learning Transportation 96

Knowledge Hut

JUNE 28, 2023

The answer lies in the strategic utilization of business intelligence for data mining (BI). Although these terms are sometimes used interchangeably, they carry distinct meanings and play different roles in this process. Process of analyzing, collecting, and presenting data to support decision-making.

Data Mining 52

Data Mining Business Intelligence BI Datasets 52

AltexSoft

OCTOBER 25, 2021

Its deep learning natural language processing algorithm is best in class for alleviating clinical documentation burnout, which is one of the main problems of healthcare technology. What is Natural Language Processing? Unstructured data is unavoidable, yet extremely valuable. Streamline administrative processes.

Medical 52

Medical Healthcare Process Hospitality 52

Knowledge Hut

MARCH 27, 2024

An ordered set of data kept in a computer system and typically managed by a database management system (DBMS) is called a database. Table modeling of the data in standard databases facilitates efficient searching and processing. SQL, or structured query language, is widely used for writing and querying data.

Database 52

Database Algorithm Relational Database PostgreSQL 52

Knowledge Hut

DECEMBER 26, 2023

These skills are essential to collect, clean, analyze, process and manage large amounts of data to find trends and patterns in the dataset. The dataset can be either structured or unstructured or both. Using Big Data, they provide technical solutions and insights that can help achieve business goals.

Data Science 97

Data Science BI Business Intelligence Data Mining 97

Knowledge Hut

JANUARY 29, 2024

In today's data-driven world, where information reigns supreme, businesses rely on data to guide their decisions and strategies. However, the sheer volume and complexity of raw data from various sources can often resemble a chaotic jigsaw puzzle.

Raw Data 52

Raw Data Data Mining Data Preparation Structured Data 52

Ascend.io

FEBRUARY 28, 2024

Engineers ensure the availability of clean, structured data, a necessity for AI systems to learn from patterns, make accurate predictions, and automate decision-making processes. By automating these tasks, data engineers can focus on more complex aspects of data architecture and strategy, improving productivity and efficiency.

Data Engineering 52

Data Engineering Data Engineer Engineering Metadata 52

Monte Carlo

FEBRUARY 27, 2024

Right now, RAG is the essential technique to make GenAI models useful by giving an LLM access to an integrated, dynamic dataset while responding to prompts. But instead of integrating a dynamic database to an existing LLM, fine-tuning involves training an LLM on a smaller, task-specific, and labeled dataset.

Data Engineering 59

Data Engineering Data Engineer Engineering High Quality Data 59

Knowledge Hut

JANUARY 19, 2024

Entering the world of data science is a strategic move in the 21st century, known for its lucrative opportunities. With businesses relying heavily on data, the demand for skilled data scientists has skyrocketed. Recognizing the growing need for data scientists, institutions worldwide are intensifying efforts to meet this demand.

Data Science 52

Data Science Machine Learning Datasets Algorithm 52

Knowledge Hut

DECEMBER 21, 2023

This massive amount of data is referred to as “big data,” which comprises large amounts of data, including structured and unstructured data that has to be processed. To establish a career in big data, you need to be knowledgeable about some concepts, Hadoop being one of them. What is Hadoop?

Hadoop 52

Hadoop Big Data NoSQL Unstructured Data 52

Edureka

FEBRUARY 8, 2024

Different instance types offer varying levels of compute power, memory, and storage, which directly influence tasks such as data processing, application responsiveness, and overall system throughput. Key Factors to Consider- When choosing an AWS instance type, several key factors should guide your decision-making process.

AWS 52

AWS NoSQL Deep Learning Datasets 52

Data Engineering Podcast

FEBRUARY 3, 2019

Open Context is a platform for cleaning, curating, and sharing this data. Open Context is an open access data publishing service for archaeology. It started because we need better ways of dissminating structured data and digital media than is possible with conventional articles, books and reports.

Digital Media 100

Digital Media Media PostgreSQL Datasets 100

Knowledge Hut

JULY 28, 2023

Data Requirements ML models typically require more labelled training data to achieve good performance. DL models can learn from large amounts of labelled or unlabelled data, potentially reducing the need for extensive labelled datasets. What is Machine Learning?

Deep Learning 52

Deep Learning Machine Learning Unstructured Data Algorithm 52

Confluent

AUGUST 29, 2019

Stream processing engines like KSQL furthermore give you the ability to manipulate all of this fluently. Instead of storing tables and columns, Neo4j represents all data as a graph, meaning that the data is a set of nodes with labels and relationships. Nodes are like our data entities (in this example, we use Person ).

Kafka 55

Kafka Process Algorithm Cloud 55

Rockset

JULY 29, 2022

This fast, serverless, highly scalable, and cost-effective multi-cloud data warehouse has built-in machine learning, business intelligence, and geospatial analysis capabilities for querying massive amounts of structured and semi-structured data. BigQuery aims to provide fast queries on massive datasets.

Data Analytics 52

Data Analytics Data Warehouse Datasets Google Cloud 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

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. Data scrutiny. Data fairness is one of the dimensions of ethical AI.

Unstructured Data 88

Unstructured Data Pipeline-centric Database-centric Entertainment 88

AltexSoft

AUGUST 29, 2023

Another distinction is the ETL vs. ELT choice: In data warehouses, Extract and Transform processes usually occur before data is loaded into the warehouse. Many organizations also deploy data marts , which are dedicated storage repositories for specific business lines or workgroups. Structured data sources.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Cloudera

JUNE 3, 2022

Due to the lack of tooling specifically designed for data discovery, exploration, and preliminary analysis, this presents a significant challenge for these teams. . When it comes to the early stages in the data science process, data scientists often find themselves jumping between a wide range of tooling.

Data Analysis 90

Data Analysis PostgreSQL Data Science SQL 90

Ascend.io

NOVEMBER 21, 2023

The emergence of cloud data warehouses, offering scalable and cost-effective data storage and processing capabilities, initiated a pivotal shift in data management methodologies. How ELT Works The process of ELT can be broken down into the following three stages: 1.

Raw Data 52

Raw Data Data Warehouse Data Cleanse Data Integration 52

Monte Carlo

JUNE 6, 2023

Some teams view data quality mainly as a technical challenge while others look at it as a business or process problem. I have spoken to dozens of data leaders in the past year to understand how they approach data quality as part of their overall organizational goals.

Data Governance 98

Data Governance Government Data Data Engineering 98

Knowledge Hut

JULY 26, 2023

Veracity meaning in big data is the degree of accuracy and trustworthiness of data, which plays a pivotal role in deriving meaningful insights and making informed decisions. This blog will delve into the importance of veracity in Big Data, exploring why accuracy matters and how it impacts decision-making processes.

Big Data 52

Big Data Data Cleanse Retail Healthcare 52

ProjectPro

NOVEMBER 25, 2021

Although businesses have an inclination towards structured data for insight generation and decision-making, text data is one of the vital information generated from digital platforms. However, it is not straightforward to extract or derive insights from a colossal amount of text data.

Machine Learning 52

Machine Learning Algorithm Datasets Google Cloud 52

Edureka

AUGUST 2, 2023

Python offers a strong ecosystem for data scientists to carry out activities like data cleansing, exploration, visualization, and modeling thanks to modules like NumPy, Pandas, and Matplotlib. It can be used for web scraping, machine learning, and natural language processing.

Programming Language 52

Programming Language Programming Scala Pharmaceutical 52

Rockset

JUNE 12, 2023

Clinical ink is a suite of software used in over a thousand clinical trials to streamline the data collection and management process, with the goal of improving the efficiency and accuracy of trials. We also encountered data and infrastructure operational challenges when scaling OpenSearch. Dataset size of ~700K records and 2.5

Electronics 52

Electronics Datasets Bytes Architecture 52

Databand.ai

JULY 17, 2023

DataOps , short for Data Operations, is an emerging discipline that focuses on improving the collaboration, integration, and automation of data management processes. It aims to streamline the entire data lifecycle—from ingestion and preparation to analytics and reporting.

Data Pipeline 52

Data Pipeline Machine Learning High Quality Data BI 52

Monte Carlo

JULY 13, 2023

As data volumes increase and IT ecosystems are more complex, relying on a manual process to manage data is impractical and difficult to scale. Manual processes are cumbersome and subject to human error. Automating self-service access. Image courtesy of Satori.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Governance 52

Towards Data Science

JUNE 8, 2023

Some teams view data quality mainly as a technical challenge while others look at it as a business or process problem. I have spoken to dozens of data leaders in the past year to understand how they approach data quality as part of their overall organizational goals.

Data Governance 79

Data Governance Government Generalist Data Engineering 79

Knowledge Hut

DECEMBER 29, 2023

A Data Engineer's primary responsibility is the construction and upkeep of a data warehouse. In this role, they would help the Analytics team become ready to leverage both structured and unstructured data in their model creation processes. They construct pipelines to collect and transform data from many sources.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

ProjectPro

NOVEMBER 17, 2021

Instead, working on a sentiment analysis project with real datasets will help you stand out in job applications and improve your chances of receiving a call back from your dream company. Sentiment analysis helps businesses process vast amounts of data efficiently. What is Sentiment Analysis?

Coding 52

Coding Project Entertainment Datasets 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. Hive is built on top of Hadoop and provides the measures to read, write, and manage the data.

Hadoop 52

Hadoop Big Data Tools Java SQL 52

Knowledge Hut

MARCH 27, 2024

We currently possess every cheat sheet needed to manage the data. After obtaining the data, we typically process it using machine learning models and algorithms to try to extract more meaning from the structured data. 4) Cheat Sheet for Scikit Learn by Sati Here is the link for the cheat sheet.

Machine Learning 52

Machine Learning Deep Learning Algorithm Certification 52

ProjectPro

SEPTEMBER 29, 2021

The term artificial intelligence is always synonymously used Awith complex terms like Machine learning, Natural Language Processing, and Deep Learning that are intricately woven with each other. One of the trending debates is that of the differences between natural language processing and machine learning. What is Machine learning?

Machine Learning 52

Machine Learning Deep Learning Algorithm Datasets 52