Monte Carlo

FEBRUARY 25, 2025

There are two main approaches : ETL (Extract, Transform, Load) ETL is the traditional methodextract data from sources, clean and structure it, then store it. Its great when data consistency is critical and compute resources are readily available. Data Lakes Data lakes store raw, unstructured data.

Designing 52

Designing Data Engineering Data Engineer Engineering 52

AltexSoft

FEBRUARY 11, 2023

Data architecture is the organization and design of how data is collected, transformed, integrated, stored, and used by a company. Another important task is to evaluate the company’s hardware and software and identify if there is a need to replace old components and migrate data to a new system. Problem-solving skills.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Knowledge Hut

JUNE 26, 2023

Using big data, we are able to transform unstructured data, such as customer reviews, into actionable insights, which enables businesses to better understand how and why customers prefer their products or services and to make improvements to their operations as quickly as is practically possible.

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

Precisely

FEBRUARY 9, 2024

Organizations must focus on breaking down silos and integrating all relevant, critical data into on-premises or cloud storage for AI model training and inference. Mainframe and IBM i systems remain critical parts of the modern data center and are vital to the success of these data initiatives.

Data Integration 69

Data Integration Government Data Metadata 69

Monte Carlo

FEBRUARY 15, 2023

This article will define in simple terms what a data warehouse is, how it’s different from a database, fundamentals of how they work, and an overview of today’s most popular data warehouses. What is a data warehouse? An ETL tool or API-based batch processing/streaming is used to pump all of this data into a data warehouse.

Data Warehouse 52

Data Warehouse Unstructured Data AWS Business Intelligence 52

Tweag

APRIL 19, 2023

Most training pipelines and systems are designed to handle fairly small, sub-megapixel images. To store this data, hospitals are often equipped with on-premises infrastructure, more or less provided by the same manufacturer of the capture devices. Reading WSIs from Blob Storage The first basic challenge is to actually read the image.

Medical 62

Medical Process Cloud Bytes 62

Meltano

OCTOBER 5, 2022

Plus, we’ll explain how data engineers use Meltano, our DataOps platform, for efficient data management. What Is Data Engineering? Data engineering is the process of designing systems for collecting, storing, and analyzing large volumes of data. This is where data engineers come in.

Data Engineering 52

Data Engineering Data Engineer Engineering Raw Data 52

Knowledge Hut

JULY 24, 2023

Multi-model Databases Another innovative solution that supports many data models, including document, graph, and key-value stores, is multi-model databases. This enables businesses to utilize a single database system rather than several, streamlining data management and allowing the usage of several data models for various use cases.

Database 52

Database NoSQL Management Relational Database 52

Edureka

OCTOBER 10, 2024

Azure Data Factory (ADF) and Azure Synapse Analytics are some of the instrumental tools used when it comes to data integration and data transformation. Another element that can be identified in both services is the copy operation, with the help of which data can be transferred between different systems and formats.

MongoDB 40

MongoDB NoSQL Metadata Datasets 40

Knowledge Hut

JANUARY 9, 2024

Thus, clients can integrate their Customer Relationship Management (CRM) and Enterprise Resource Planning (ERP) systems with Azure and take their business operations to the next level. Apart from this, there should be adequate measures to safeguard this data from breaches and cyber-attacks.

Cloud Computing 52

Cloud Computing Computer Science Certification Cloud 52

ProjectPro

JANUARY 24, 2023

BigQuery enables users to store data in tables, allowing them to quickly and easily access their data. It supports structured and unstructured data, allowing users to work with various formats. BigQuery also supports many data sources, including Google Cloud Storage, Google Drive, and Sheets.

Bytes 52

Bytes Google Cloud Data Warehouse Cloud Storage 52

Edureka

FEBRUARY 9, 2023

Data engineering is a new and evolving field that will withstand the test of time and computing advances. Certified Azure Data Engineers are frequently hired by businesses to convert unstructured data into useful, structured data that data analysts and data scientists can use.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Mining 52

Ascend.io

DECEMBER 14, 2022

ETL was an advantage when we weren’t able to work with the size and complexity of raw data. With the advent of cloud computing, storing unstructured data quickly without having to worry about storage or format is faster and cheaper. However, that is less and less the case. This is when ELT came in.

Data Integration 52

Data Integration Raw Data Data Consolidation Data Warehouse 52

ProjectPro

JANUARY 19, 2022

Data engineering is a new and ever-evolving field that can withstand the test of time and computing developments. Companies frequently hire certified Azure Data Engineers to convert unstructured data into useful, structured data that data analysts and data scientists can use.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Storage 52

ProjectPro

DECEMBER 7, 2021

Data Pipeline Tools AWS Data Pipeline Azure Data Pipeline Airflow Data Pipeline Learn to Create a Data Pipeline FAQs on Data Pipeline What is a Data Pipeline? In broader terms, two types of data -- structured and unstructured data -- flow through a data pipeline.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

AltexSoft

MARCH 30, 2023

Source: Databricks Delta Lake is an open-source, file-based storage layer that adds reliability and functionality to existing data lakes built on Amazon S3, Google Cloud Storage, Azure Data Lake Storage, Alibaba Cloud, HDFS ( Hadoop distributed file system), and others. Delta Lake integrations.

Scala 64

Scala Data Lake Machine Learning BI 64

Striim

AUGUST 22, 2024

Whether you want to learn more about the benefits of real-time analytics or dive deeper into the most significant characteristics of a real-time analytics system, we’ll ensure you have a robust understanding of how real-time analytics move your business forward. Users can access this data on a dashboard, report, or another medium.

Data Warehouse 52

Data Warehouse Retail Machine Learning Database 52

ProjectPro

NOVEMBER 30, 2021

Everyone wants to leverage this technology to make their systems more reliable, robust, and therefore the best in the market. We all are aware of the wonders done by Data mining and Machine Learning. MB of data every second. By 2025, 200+ zettabytes of data will be in cloud storage around the globe.

Data Mining 52

Data Mining Machine Learning Data Science Algorithm 52

Monte Carlo

AUGUST 19, 2023

Recently, there’s been a lot of discussion around whether to go with open source or closed source solutions (the dialogue between Snowflake and Databricks’ marketing teams really brings this to light) when it comes to building your data platform.

Building 52

Building BI Data Lake Data Governance 52

Knowledge Hut

APRIL 12, 2023

Azure provides you with a multitude of tools and services, including: Virtual machines: It provides you with virtual machines that can be used to run applications and services on the cloud. Storage: With Azure, you get several storage options, including blob storage, file storage, and disk storage.

Cloud Computing 52

Cloud Computing Amazon Web Services Certification Cloud 52

Ascend.io

AUGUST 31, 2023

Modern Cloud Data Platforms The native capabilities of the cloud providers have been joined by third-party services to offload that data into separate less costly systems that are optimized for analysis of that data. Let’s take a closer look.

Data Lake 52

Data Lake Data Warehouse ETL Tools Data Pipeline 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. Offers flexibility and faster data processing. Pricing : Free of cost.

Big Data Tools 59

Big Data Tools Big Data Hadoop Database-centric 59

ProjectPro

AUGUST 24, 2021

Thus, as a learner, your goal should be to work on projects that help you explore structured and unstructured data in different formats. Data Warehousing: Data warehousing utilizes and builds a warehouse for storing data. A data engineer interacts with this warehouse almost on an everyday basis.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Knowledge Hut

SEPTEMBER 26, 2023

Organizations can harness the power of the cloud, easily scaling resources up or down to meet their evolving data processing demands. Supports Structured and Unstructured Data: One of Azure Synapse's standout features is its versatility in handling a wide array of data types.

Data Lake 52

Data Lake Database-centric Machine Learning Pipeline-centric 52

ProjectPro

JULY 30, 2021

What are some popular use cases for cloud computing? Cloud storage - Storage over the internet through a web interface turned out to be a boon. With the advent of cloud storage, customers could only pay for the storage they used. Cloud consists of a shared pool of resources and systems.

Cloud Computing 40

Cloud Computing Cloud Amazon Web Services AWS 40

ProjectPro

AUGUST 11, 2021

Data Lake vs Data Warehouse - The Differences Before we closely analyse some of the key differences between a data lake and a data warehouse, it is important to have an in depth understanding of what a data warehouse and data lake is. Data Lake vs Data Warehouse - The Introduction What is a Data warehouse?

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

U-Next

SEPTEMBER 12, 2022

IoT examples are security systems, utilities and devices, entertainment, and health gadgets. . Organizations are experiencing a lack of skilled Cloud computing specialists due to the increase in the use of Cloud in current business models. . Real-world Example of Cloud Computing . What Is Cybersecurity? .

Cloud Computing 52

Cloud Computing Cloud Amazon Web Services Banking 52

AltexSoft

JULY 29, 2022

A Hadoop cluster is a group of computers called nodes that act as a single centralized system working on the same task. a client or edge node serves as a gateway between a Hadoop cluster and outer systems and applications. It loads data and grabs the results of the processing staying outside the master-slave hierarchy.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

ProjectPro

MAY 31, 2021

Data Description: You will use the Covid-19 dataset(COVID-19 Cases.csv) from data.world , for this project, which contains a few of the following attributes: people_positive_cases_count county_name case_type data_source Language Used: Python 3.7 Semi-structured Data: It is a combination of structured and unstructured data.

Big Data 52

Big Data Coding Project Hadoop 52

Cloudera

OCTOBER 21, 2020

Their models, data, and systems, curated for decades or centuries and fiercely protected, simply did not and could not factor in how a global pandemic would affect their customers. Using these forms of structured and unstructured data can unlock new insights, both in isolation and in combination with each other.

Insurance 72

Insurance Unstructured Data Hospitality Media 72

Data Engineering Weekly

DECEMBER 18, 2024

Inspired by the human brain, Neuromorphic chips promise unparalleled energy efficiency and the ability to process unstructured data locally on devices. The advancement in computing will expand AI’s role in autonomous systems and robotics.

Data Engineering 113

Data Engineering Data Engineer Engineering Data Lake 113

Edureka

APRIL 15, 2025

Following that, we will examine the Microsoft Fabric Data Engineer Associate Microsoft Fabric Data Engineer Associate About the Certification This professional credential verifies your proficiency in implementing data engineering solutions using Microsoft’s unified analytics platform.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Ingestion 52

ProjectPro

NOVEMBER 30, 2021

ETL (Extract, Transform, and Load) Pipeline involves data extraction from multiple sources like transaction databases, APIs, or other business systems, transforming it, and loading it into a cloud-hosted database or a cloud data warehouse for deeper analytics and business intelligence.

Process 52

Process Data Warehouse Data Pipeline AWS 52

Knowledge Hut

FEBRUARY 28, 2024

In this blog, we will explore the future of big data in business, its applications, and the technologies that will drive its evolution. What is Big Data? Big data refers to large amounts of data. The differentiation between data and big data becomes clear once we look at the methods of analyzing them.

Big Data 52

Big Data Cloud Storage Healthcare SQL 52