Knowledge Hut

DECEMBER 26, 2023

Budding aspirants and students are constantly looking for reliable data science s, research material, and the top data science books to kickstart their careers in this field. These specialized books will help you gain a comprehensive understanding of the basics and fundamentals of data science to get started.

Data Science 52

Data Science Scala Programming Language R (Programming) 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 ).

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SQL Data Analytics Hadoop Raw Data 72

U-Next

AUGUST 8, 2022

Tech jargon on one side, the most famous question of India’s tech world is “Does Data Science require coding” and here’s your much-awaited answer. Introduction to Does Data Science Require Coding? The world demand for Data Science professions is rapidly expanding. What exactly does Data Science consist of?

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Data Science Coding Programming Language Scala 40

U-Next

AUGUST 11, 2022

A Data Scientist’s job entails deciphering and analyzing complex, unstructured data gathered from several sources. Read on to learn about the career opportunities and salary of a Data Scientist. Data Science project workflows include several steps. Skill requirements for Data Science.

Data Science 40

Data Science Data Cleanse Unstructured Data Machine Learning 40

Data Engineering Weekly

MAY 5, 2024

link] Miles McBain: Patterns and anti-patterns of data analysis reuse We practiced and discussed reusability in software engineering, but I never thought deeply about data analytics reuse. For me, It is always adding additional dimensions in a dashboard to bring reusability, but that won’t be the case in ad-hoc analytics.

Data Engineering 67

Data Engineering Data Engineer Engineering Google Cloud 67

AltexSoft

MAY 14, 2021

And that’s the most important thing: Big Data analytics helps companies deal with business problems that couldn’t be solved with the help of traditional approaches and tools. This post will draw a full picture of what Big Data analytics is and how it works. Big Data and its main characteristics.

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Big Data Data Analytics IT NoSQL 78

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

Towards Data Science

JANUARY 16, 2024

Image by the author 2010 to 2020 - The Cloud Data Warehouse Enterprises now wanted quick data analytics without yesterday’s constraints of flexibility, processing power and scale. Examples include: Amazon Redshift, Google BigQuery, Snowflake, Azure Synapse Analytics, Databricks etc. So what was missing?

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Data Warehouse Data Architecture Relational Database NoSQL 64

Knowledge Hut

SEPTEMBER 26, 2023

Organisations are constantly looking for robust and effective platforms to manage and derive value from their data in the constantly changing landscape of data analytics and processing. These platforms provide strong capabilities for data processing, storage, and analytics, enabling companies to fully use their data assets.

Data Lake 52

Data Lake Database-centric Pipeline-centric Machine Learning 52

Knowledge Hut

DECEMBER 26, 2023

Companies from startups to the Fortune 500s are looking out for the best and brightest individuals to fill up the role of Data engineers beating out data scientists, cybersecurity analysts, and web developers. What is Data Science? What are the roles and responsibilities of a Data Engineer? What is Data Science?

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Data Engineering Data Engineer Engineering Pipeline-centric 98

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. Accessibility, in the context of volume, refers to the availability and ease of accessing the data.

Big Data 52

Big Data Media Datasets Unstructured Data 52

Knowledge Hut

JANUARY 18, 2024

Data science insights allow enterprises to succeed, make better decisions, and increase customer satisfaction. Insights in data science are the deep understanding acquired by an individual or organization as a result of examining information on a particular subject.

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Data Science Media Food Data 52

Knowledge Hut

APRIL 25, 2024

Most businesses today understand how to gather the terabytes of data that constantly pour into their operations and utilize analytics to transform them into insightful information. Given its advantages, big data and analytics are crucial for any business trying to maximize its commercial potential.

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Big Data Entertainment Transportation Banking 97

Knowledge Hut

DECEMBER 13, 2023

The big data industry is growing rapidly. Based on the exploding interest in the competitive edge provided by Big Data analytics, the market for big data is expanding dramatically. Big Data startups compete for market share with the blue-chip giants that dominate the business intelligence software market.

Big Data 52

Big Data Consulting Hadoop Amazon Web Services 52

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. What is Data Analytics?

Programming Language 52

Programming Language Cloud Computing Data Preparation Data Science 52

Knowledge Hut

MAY 2, 2024

To store and process even only a fraction of this amount of data, we need Big Data frameworks as traditional Databases would not be able to store so much data nor traditional processing systems would be able to process this data quickly. It can deliver near real-time analytics.

Scala 96

Scala Hadoop Datasets Java 96

Edureka

AUGUST 2, 2023

In this digital transformation era, data is at the heart of decision-making. Data science has gained prominence, playing a crucial role in deriving insights from vast volumes of data. Aspiring data scientists must familiarize themselves with the best programming languages in their field.

Programming Language 52

Programming Language Programming Scala Pharmaceutical 52

ProjectPro

MARCH 12, 2016

For the leading payment network - PayPal, Big Data is an asset and is used for serious business strategies. Big Data Analytics and Data Science is at the heart of all this processing in the 17-year-old PayPal. At PayPal the raw clickstream data is processed in Hadoop through a cleaning phase.

Big Data 52

Big Data Data Analytics Hadoop Algorithm 52

U-Next

MARCH 1, 2023

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? How does a data warehouse differ from a database? What is AWS Kinesis?

Data Engineering 75

Data Engineering Data Engineer Non-relational Database Engineering 75

AltexSoft

MAY 12, 2023

What is unstructured data? Definition and examples Unstructured data , in its simplest form, refers to any data that does not have a pre-defined structure or organization. It can come in different forms, such as text documents, emails, images, videos, social media posts, sensor data, etc.

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Unstructured Data NoSQL Hadoop Data Lake 59

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. Who is a Data Architect?

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Data Architect Data Science Certification Big Data 52

Knowledge Hut

NOVEMBER 28, 2023

Data Science is a field where job offers have grown exponentially in the last few years alone. People use programming mathematics, statistics, and other domain knowledge in data science to extract important insights from big data. You can check out a Data Science Bootcamp to learn more about the field.

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Data Science Telecommunication Recruitment Finance 52

Knowledge Hut

DECEMBER 26, 2023

After carefully exploring what we mean when we say "big data," the book explores each phase of the big data lifecycle. With Tableau, which focuses on big data visualization , you can create scatter plots, histograms, bar, line, and pie charts.

Big Data 75

Big Data Data Mining Business Intelligence Machine Learning 75

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.

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IT Unstructured Data Data Architecture Government 110

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.

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Data Collection Machine Learning Unstructured Data Non-relational Database 52

Towards Data Science

JUNE 8, 2023

Now, let’s take a closer look at the strengths and weaknesses of the most popular data quality team structures. Data engineering Photo by Luke Chesser on Unsplash Having the data engineering team lead the response to data quality is by far the most common pattern. Which Team Should Own Data Quality?

Data Governance 76

Data Governance Government Generalist Data Engineering 76

AltexSoft

MARCH 30, 2023

What is Databricks Databricks is an analytics platform with a unified set of tools for data engineering, data management , data science, and machine learning. It combines the best elements of a data warehouse, a centralized repository for structured data, and a data lake used to host large amounts of raw data.

Scala 64

Scala Data Lake BI Google Cloud 64

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. Analyzing and deriving valuable insights from data.

ETL Tools 52

ETL Tools Database-centric Data Mining Data Cleanse 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

AltexSoft

JULY 18, 2023

Maintained by the Apache Software Foundation, Apache Spark is an open-source, unified engine designed for large-scale data analytics. Its flexibility allows it to operate on single-node machines and large clusters, serving as a multi-language platform for executing data engineering , data science , and machine learning tasks.

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Big Data Data Process Process Hadoop 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. Wells Fargo $1,15,122 Data Engineer Salaries by Experience in the US Pay scale based on experience is the typical norm.

Data Engineering 52

Data Engineering Data Engineer Engineering Healthcare 52

ProjectPro

SEPTEMBER 26, 2021

Several industries across the globe are using Big Data tools and technology in their processes and operations. According to a study, the Big Data market in the banking sector will reach $62.10 Healthcare is another primary application area of Big Data analytics , and its market will touch $67.82 billion by 2025.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

ProjectPro

FEBRUARY 16, 2023

Focus Historical data analysis, reporting, and visualization. Predictive and prescriptive analytics, machine learning, and deep learning. Input Data Structured data from various sources, such as databases, spreadsheets, and ERP systems. Individual data analysis takes a long time. PREVIOUS NEXT <

Business Intelligence 52

Business Intelligence BI Data Mining Raw Data 52

AltexSoft

MARCH 14, 2023

Data storage The tools mentioned in the previous section are instrumental in moving data to a centralized location for storage, usually, a cloud data warehouse, although data lakes are also a popular option. But this distinction has been blurred with the era of cloud data warehouses.

IT 59

IT Data Warehouse Data Governance Data Lake 59

ProjectPro

JANUARY 31, 2022

Table of Contents Snowflake Overview and Architecture What is Snowflake Data Warehouse? Snowflake Features that Make Data Science Easier Building Data Applications with Snowflake Data Warehouse Snowflake Data Warehouse Architecture How Does Snowflake Store Data Internally? What Does Snowflake Do?

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

Precisely

JANUARY 23, 2024

Data Governance Goes Mainstream To get the most from data analytics initiatives, organizations must proactively work to build data integrity. Doing so requires a sound data governance framework. It also enables a 360° view of customers, bringing together multiple data sources under one roof.

Technology 67

Technology Data Governance Government Data Integration 67

Towards Data Science

JANUARY 17, 2024

These are key in nearly all data pipelines, allowing for efficient data storage and easier querying and information extraction. They are designed to handle the challenges of big data like size, speed, and structure. Data engineers often face a plethora of choices. Open a new Jupyter notebook to begin.

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Big Data Data Data Storage SQL 70