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? Traditional Data uses centralized architecture.

Big Data 52

Big Data Relational Database Data Datasets 52

AltexSoft

JULY 18, 2023

These seemingly unrelated terms unite within the sphere of big data, representing a processing engine that is both enduring and powerfully effective — Apache Spark. Maintained by the Apache Software Foundation, Apache Spark is an open-source, unified engine designed for large-scale data analytics. What is Apache Spark?

Big Data 52

Big Data Data Process Process Hadoop 52

Knowledge Hut

MAY 2, 2024

Why We Need Big Data Frameworks Big data is primarily defined by the volume of a data set. Big data sets are generally huge – measuring tens of terabytes – and sometimes crossing the threshold of petabytes. It is surprising to know how much data is generated every minute. As estimated by DOMO : Over 2.5

Scala 96

Scala Hadoop Datasets Java 96

Monte Carlo

MAY 28, 2024

A data ingestion architecture is the technical blueprint that ensures that every pulse of your organization’s data ecosystem brings critical information to where it’s needed most. Ensuring all relevant data inputs are accounted for is crucial for a comprehensive ingestion process.

Data Ingestion 52

Data Ingestion Architecture Designing Hadoop 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

ProjectPro

JANUARY 25, 2022

Did you know that, according to Linkedin, over 24,000 Big Data jobs in the US list Apache Spark as a required skill? Learning Spark has become more of a necessity to enter the Big Data industry. Python is one of the most extensively used programming languages for Data Analysis, Machine Learning , and data science tasks.

Big Data 52

Big Data Data Process Process Kafka 52

Knowledge Hut

JANUARY 30, 2024

In today's world, where data rules the roost, data extraction is the key to unlocking its hidden treasures. As someone deeply immersed in the world of data science, I know that raw data is the lifeblood of innovation, decision-making, and business progress. What is data extraction?

ETL Tools 52

ETL Tools Database-centric Data Mining Data Cleanse 52

Knowledge Hut

MAY 3, 2024

It gives computers the ability to learn and infer from a huge amount of homogeneous data, without having to be programmed explicitly. In a more generalized form, Entropy is given by the following equation: Example: As an example, a sample S is taken, which contains 14 data samples and includes 9 positive and 5 negative samples.

Machine Learning 98

Machine Learning Algorithm Datasets Medical 98

Knowledge Hut

DECEMBER 26, 2023

According to the World Economic Forum, the amount of data generated per day will reach 463 exabytes (1 exabyte = 10 9 gigabytes) globally by the year 2025. Thus, almost every organization has access to large volumes of rich data and needs “experts” who can generate insights from this rich data.

Data Science 97

Data Science BI Business Intelligence Data Mining 97

Precisely

OCTOBER 5, 2023

How much data is your business generating each day? While answers will vary by organization, chances are there’s one commonality: it’s more data than ever before. But what do you do with all that data? How do you turn that raw data into actionable insights? That’s where data enrichment comes in.

Raw Data 67

Raw Data Insurance Datasets Telecommunication 67

Knowledge Hut

MARCH 27, 2024

On the other hand, data structures are like the tools that help organize and arrange data within a computer program. In simpler terms, a database is where information is neatly stored, like books on shelves, while data structures are the behind-the-scenes helpers, ensuring data is well-organized and easy to find.

Database 52

Database Algorithm Relational Database PostgreSQL 52

ThoughtSpot

MARCH 5, 2024

Managing complex data pipelines is a major challenge for data-driven organizations looking to accelerate analytics initiatives. While AI-powered, self-service BI platforms like ThoughtSpot can fully operationalize insights at scale by delivering visual data exploration and discovery, it still requires robust underlying data management.

BI 94

BI Datasets Raw Data SQL 94

Knowledge Hut

JUNE 28, 2023

In our data-driven world, our lives are governed by big data. The TV shows we watch, the social media we follow, the news we read, and even the optimized routes we take to work are all influenced by the power of big data analytics. The answer lies in the strategic utilization of business intelligence for data mining (BI).

Data Mining 52

Data Mining Business Intelligence BI Datasets 52

Cloudera

APRIL 1, 2024

This recognition underscores Cloudera’s commitment to continuous customer innovation and validates our ability to foresee future data and AI trends, and our strategy in shaping the future of data management. Cloudera, a leader in big data analytics, provides a unified Data Platform for data management, AI, and analytics.

Cloud 104

Cloud Unstructured Data Metadata Datasets 104

Ascend.io

FEBRUARY 28, 2024

The rise of generative AI is changing more than just technology; it’s reshaping our professional landscapes — and yes, data engineering is directly experiencing the impact. How does AI recalibrate the workload and priorities of data teams? How can data engineers harness the power of AI?

Data Engineering 52

Data Engineering Data Engineer Engineering Metadata 52

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. What Is Data Wrangling? Why Is Data Wrangling Important?

Raw Data 52

Raw Data Data Mining Data Preparation Structured Data 52

Knowledge Hut

MARCH 20, 2024

Data is the primary focus of computer programming. The flow of data is what makes an application or project functional, and it is over this data that all business logic is built. For optimal utilization, it is therefore essential to arrange and store the data and use a solid data model for efficient programming.

Computer Science 52

Computer Science Programming Language Algorithm Software Engineer 52

Monte Carlo

FEBRUARY 27, 2024

If you’re a data engineer experiencing GenAI-induced whiplash, you’re not alone. On one hand, everyone’s talking about whether GenAI’s not-insignificant data engineering skills are going to automate away their jobs. They need robust data pipelines, high-quality data, well-guarded privacy, and cost-effective scalability.

Data Engineering 59

Data Engineering Data Engineer Engineering High Quality Data 59

Monte Carlo

JUNE 6, 2023

Sure, data quality is everyones’ problem. But who is responsible for data quality? Some organizations will attempt to diffuse the responsibility widely across data stewards, data owners, data engineering and governance committees, each owning a fraction of the data value chain.

Data Governance 98

Data Governance Government Data Data Engineering 98

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

Towards Data Science

DECEMBER 23, 2023

Photo by Ian Taylor on Unsplash This tutorial guides you through an analytics use case, analyzing semi-structured data with Spark SQL. We’ll start with the data engineering process, pulling data from an API and finally loading the transformed data into a data lake (represented by MinIO ).

SQL 72

SQL Data Analytics Hadoop Raw Data 72

AltexSoft

JUNE 26, 2023

All successful companies do it: constantly collect data. While today’s world abounds with data, gathering valuable information presents a lot of organizational and technical challenges, which we are going to address in this article. What is data collection?

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

Edureka

JANUARY 18, 2024

This guide provides a comprehensive understanding of the essential skills and knowledge required to become a successful data scientist, covering data manipulation, programming, mathematics, big data, deep learning, and machine learning technologies. Table of Contents Introduction to Data Science What is Data Science?

Data Science 40

Data Science Deep Learning NoSQL Machine Learning 40

Data Engineering Podcast

FEBRUARY 3, 2019

Summary Archaeologists collect and create a variety of data as part of their research and exploration. Open Context is a platform for cleaning, curating, and sharing this data. I got frustrated at the lack of comparative data, and I got frustrated at all the work I put into creating data that nobody would likely use.

Digital Media 100

Digital Media Media PostgreSQL Datasets 100

Knowledge Hut

DECEMBER 21, 2023

In the present-day world, almost all industries are generating humongous amounts of data, which are highly crucial for the future decisions that an organization has to make. 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.

Hadoop 52

Hadoop Big Data NoSQL Unstructured Data 52

Knowledge Hut

MARCH 22, 2024

Data structures are classified as linear or non-linear based on how they organise data in memory. The difference between linear and nonlinear data structures lies in their organisation and handling of data, with linear structures offering simplicity and sequence, while non-linear structures provide complexity and connectivity.

Algorithm 52

Algorithm Data Datasets Accessible 52

Knowledge Hut

MAY 31, 2023

Currently, most students and working professionals prefer a Data Science Course to make a smooth transition in the data science field. These projects typically involve a collaborative team of software developers, data scientists, machine learning engineers, and subject matter experts. Let us get started!

Project 96

Project Healthcare Deep Learning Transportation 96

Data Engineering Weekly

NOVEMBER 20, 2022

Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make it easy to collect data from every application, website, and SaaS platform, then activate it in your warehouse and business tools. link] The short YouTube video gives a nice overview of the Data Cards. Not Endless DAGs!

Data Engineering 52

Data Engineering Data Engineer Engineering Datasets 52

Knowledge Hut

DECEMBER 26, 2023

Data Engineering is typically a software engineering role that focuses deeply on data – namely, data workflows, data pipelines, and the ETL (Extract, Transform, Load) process. What is Data Science? What are the roles and responsibilities of a Data Engineer? What is the need for Data Science?

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

Netflix Tech

OCTOBER 27, 2020

By Tianlong Chen and Ioannis Papapanagiotou Netflix has more than 195 million subscribers that generate petabytes of data everyday. Data scientists and engineers collect this data from our subscribers and videos, and implement data analytics models to discover customer behaviour with the goal of maximizing user joy.

Data Warehouse 97

Data Warehouse Datasets Data Big Data 97

Striim

MAY 1, 2024

UPS Capital recognizes the challenges faced by its customers in securing their package delivery ecosystem and is harnessing digital capabilities and data access to redefine traditional approaches, ensuring improved customer experiences and combating shipping loss. This platform acts as the primary structured data repository in Google Cloud.

Google Cloud 52

Google Cloud Insurance Finance Machine Learning 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. How much data was generated in a minute in 2013 and 2022.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Knowledge Hut

NOVEMBER 3, 2023

The need for efficient and agile data management products is higher than ever before, given the ongoing landscape of data science changes. MongoDB is a NoSQL database that’s been making rounds in the data science community. Let us see where MongoDB for Data Science can help you. What is MongoDB for Data Science?

MongoDB 52

MongoDB Data Science NoSQL ETL Tools 52

Towards Data Science

JUNE 8, 2023

We examine which team structures are the best suited for efficiently improving data quality. Sure, data quality is everyones’ problem. Some organizations will attempt to diffuse the responsibility widely across data stewards, data owners, data engineering and governance committees, each owning a fraction of the data value chain.

Data Governance 76

Data Governance Government Generalist Data Engineering 76

Cloudera

NOVEMBER 15, 2021

The word “data” is ubiquitous in narratives of the modern world. And data, the thing itself, is vital to the functioning of that world. This blog discusses quantifications, types, and implications of data. Quantifications of data. Quantifications of data. So data is big and growing. And data moves around.

Unstructured Data 88

Unstructured Data Pipeline-centric Database-centric Entertainment 88

AltexSoft

JUNE 7, 2021

Hadoop and Spark are the two most popular platforms for Big Data processing. They both enable you to deal with huge collections of data no matter its format — from Excel tables to user feedback on websites to images and video files. Which Big Data tasks does Spark solve most effectively? How does it work? scalability.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

Cloudera

JUNE 3, 2022

Data scientists and machine learning engineers in enterprise organizations need to fully understand their data in order to properly analyze it, build models, and power machine learning use cases across their business. Data scientists are likely to use a variety of different tools to move through their processes.

Data Analysis 90

Data Analysis PostgreSQL Data Science SQL 90