Knowledge Hut

DECEMBER 29, 2023

Big Data is a part of this umbrella term, which encompasses Data Warehousing and Business Intelligence as well. A Data Engineer's primary responsibility is the construction and upkeep of a data warehouse. They construct pipelines to collect and transform data from many sources.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

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 92

Hospitality Kafka Retail Data Ingestion 92

U-Next

AUGUST 18, 2022

Data Scientist is a highly dynamic job and requires a person to be well-versed in AI, business intelligence, Machine Learning earning, etc. What Does a Data Scientist Do? You could receive ten different responses if you consult ten distinct Data Scientists with the same question. Learn more about it here.

Unstructured Data 40

Unstructured Data Medical Data Science Business Intelligence 40

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

AltexSoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 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

Knowledge Hut

JULY 26, 2023

Columnar databases, by organizing data by columns, can efficiently compress and store comparable data together, resulting in higher compression ratios and faster data scans. They are commonly used in applications such as data warehousing, business intelligence, and analytics.

Database 52

Database NoSQL Telecommunication MongoDB 52

Knowledge Hut

APRIL 20, 2023

Deals with Statistical and computational approaches to extract knowledge and insights from structured and unstructured data. In contrast, data scientists are in great demand across a variety of sectors, including technology, healthcare, and finance.

Data Science 52

Data Science Computer Science Healthcare Recruitment 52

U-Next

AUGUST 11, 2022

Deep Learning is an AI Function that involves imitating the human brain in processing data and creating patterns for decision-making. It’s a subset of ML which is capable of learning from unstructured data. Why Should You Pursue A Career In Artificial Intelligence? There are excellent career opportunities in AI.

Medical 52

Medical Computer Science Scala Machine Learning 52

Databand.ai

DECEMBER 13, 2022

Follow Ananth on LinkedIn 20) Madison Schott Analytics Engineer at Winc Madison has more than five years of experience as a software and data engineer, working with Capital One and Winc. She holds a Bachelor’s degree in Mathematical Finance and Marketing from Seton Hall University.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

ProjectPro

MAY 20, 2015

Several big data companies are looking to tame the zettabyte’s of BIG big data with analytics solutions that will help their customers turn it all in meaningful insights. Our customers have sales people and use software, but they cannot step into the traditional way of buying business intelligence.

Big Data 40

Big Data Hadoop Business Analyst Unstructured Data 40

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

Knowledge Hut

DECEMBER 26, 2023

Let us first get a clear understanding of why Data Science is important. What is the need for Data Science? If we look at history, the data that was generated earlier was primarily structured and small in its outlook. A simple usage of Business Intelligence (BI) would be enough to analyze such datasets.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

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 87

Data Engineering Data Engineer Engineering Data Lake 87

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

AltexSoft

JUNE 26, 2023

Data collection is a methodical practice aimed at acquiring meaningful information to build a consistent and complete dataset for a specific business purpose — such as decision-making, answering research questions, or strategic planning. Key differences between structured, semi-structured, and unstructured data.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

ProjectPro

JANUARY 27, 2023

Top ETL Business Use Cases for Streamlining Data Management Data Quality - ETL tools can be used for data cleansing, validation, enriching, and standardization before loading the data into a destination like a data lake or data warehouse.

BI 52

BI ETL Tools Retail Healthcare 52

ProjectPro

DECEMBER 1, 2017

2017/11/08/ibm_retires_biginsights_for_hadoop/ ) Social Business Intelligence Market: Growing Popularity of Hadoop Open-Source Software Framework to Accentuate Market.DigitalJournal.com, November 13, 2017. Source : [link] ) Rajasthan selects Big Data firm Teradata to enhance citizen services. (Source: theregister.co.uk/2017/11/08/ibm_retires_biginsights_for_hadoop/

Hadoop 52

Hadoop Medical Unstructured Data Pharmaceutical 52

AltexSoft

AUGUST 4, 2021

Instead of combing through the vast amounts of all organizational data stored in a data warehouse, you can use a data mart — a repository that makes specific pieces of data available quickly to any given business unit. What is a data mart? Data mart use cases. Just like display cases in a store.

Data Lake 64

Data Lake Data Warehouse ETL Tools Telecommunication 64

AltexSoft

OCTOBER 3, 2022

Graph technologies are the basis for creating intelligent applications that allow for making more accurate predictions and faster decisions. In the real world, most data is unstructured data e.g., text, images, audio, and video. Fraud prevention in finance and banking. Here are the key ones.

Relational Database 52

Relational Database Banking Media Computer Science 52

Knowledge Hut

DECEMBER 27, 2023

Many business owners and professionals are interested in harnessing the power locked in Big Data using Hadoop often pursue Big Data and Hadoop Training. What is Big Data? Big data is often denoted as three V’s: Volume, Variety and Velocity. Needs improvement in data handling capacity.

Big Data Tools 59

Big Data Tools Big Data Hadoop Database-centric 59

ProjectPro

JANUARY 31, 2023

Big data enables businesses to get valuable insights into their products or services. Almost every company employs data models and big data technologies to improve its techniques and marketing campaigns. Most leading companies use big data analytical tools to enhance business decisions and increase revenues.

Big Data 52

Big Data Hadoop AWS Relational Database 52

Monte Carlo

JULY 19, 2023

In this article, we’ll present you with the Five Layer Data Stack—a model for platform development consisting of five critical tools that will not only allow you to maximize impact but empower you to grow with the needs of your organization. However, this won’t simply be where you store your data—it’s also the power to activate it.

Building 96

Building Business Intelligence Cloud Storage BI 96

Towards Data Science

JULY 21, 2023

In this article, we’ll present you with the Five Layer Data Stack — a model for platform development consisting of five critical tools that will not only allow you to maximize impact but empower you to grow with the needs of your organization. However, this won’t simply be where you store your data — it’s also the power to activate it.

Building 83

Building Business Intelligence BI Cloud Storage 83

Monte Carlo

JANUARY 27, 2024

In this article, we’ll present you with the Five Layer Modern Data Stack—a model for platform development consisting of five critical tools that will not only allow you to maximize impact but empower you to grow with the needs of your organization. However, this won’t simply be where you store your data—it’s also the power to activate it.

Building 52

Building Business Intelligence Cloud Storage BI 52