Knowledge Hut

JANUARY 30, 2024

Structured Data: Structured data sources, such as databases and spreadsheets, often require extraction to consolidate, transform, and make them suitable for analysis. Unstructured Data: Unstructured data, like free-form text, can be challenging to work with but holds valuable insights.

ETL Tools 52

ETL Tools Database-centric Data Mining Data Cleanse 52

Knowledge Hut

APRIL 12, 2023

Virtual Hard Drives: Azure offers virtual hard drives (VHDs) that offer a significant amount of data storage. VHDs are extensions of virtual machines used for storing large amounts of data. When you sign up for Azure, you can access all the services that are available on the Azure portal. How Does Microsoft Azure Work?

Cloud Computing 52

Cloud Computing Amazon Web Services Certification Cloud 52

Knowledge Hut

DECEMBER 29, 2023

Types of Specializations in Data Science (Areas of Data Science) The fields of business, research, and government are all increasingly using data science. A Data Engineer's primary responsibility is the construction and upkeep of a data warehouse.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

ProjectPro

JULY 13, 2015

Large commercial banks like JPMorgan have millions of customers but can now operate effectively-thanks to big data analytics leveraged on increasing number of unstructured and structured data sets using the open source framework - Hadoop. JP Morgan has massive amounts of data on what its customers spend and earn.

Hadoop 52

Hadoop Big Data Data Analytics Banking 52

ProjectPro

FEBRUARY 21, 2023

Although challenging, a career in data engineering can be rewarding. Data engineers and their skills play a crucial role in the success of an organization by making it easier for data scientists , data analysts , and decision-makers to access the data they need to do their jobs.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

ProjectPro

SEPTEMBER 26, 2014

The survey volunteers accepted that Hadoop is beneficial when it comes of Big Data analytics. The present day RDBMS are perfect for querying structured data and people are well acquainted with their technicalities. Conversely, Sqoop also allows importing formatted file again into the relational database.

Business Intelligence 40

Business Intelligence Hadoop BI Relational Database 40

ProjectPro

SEPTEMBER 11, 2015

By 2018, the Big Data market will be about $46.34 The Government and Federal agencies of several countries are now beginning to adopt Hadoop because of its open source nature and distributed computing capabilities. The availability of skilled big data Hadoop talent will directly impact the market. billion dollars worth.

Hadoop 52

Hadoop Java BI Big Data 52

Knowledge Hut

NOVEMBER 17, 2023

Identity and Access Management This part of the Azure-104 study guide deals with one of the most advanced security features of this platform. Azure Identity and Access Management (IAM) is a set of solutions that helps users/companies protect access to their resources and applications on the cloud as well as the corporate data center.

Data Lake 52

Data Lake Programming Language Certification Java 52

Knowledge Hut

JULY 24, 2023

NoSQL Databases NoSQL databases are non-relational databases (that do not store data in rows or columns) more effective than conventional relational databases (databases that store information in a tabular format) in handling unstructured and semi-structured data.

Database 52

Database NoSQL Management Relational Database 52

AltexSoft

JUNE 26, 2023

Commonly, the entire flow is fully automated and consists of three main steps — data extraction, transformation, and loading ( ETL or ELT , for short, depending on the order of the operations.) Dive deeper into the subject by reading our article Data Integration: Approaches, Techniques, Tools, and Best Practices for Implementation.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

Knowledge Hut

SEPTEMBER 22, 2023

In my opinion, Azure Data Engineer Certification is definitely worth it for people who wish to make a career in this field. A profession in Azure data engineering can be satisfying even when it is challenging. To provide their customers with scalable solutions, businesses rely on the expertise and abilities of data engineers.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Monte Carlo

NOVEMBER 6, 2023

They can range in terms of complexity, ease of use, and feature sets, but all are designed to help illuminate the dark corners of your data repositories, and are a critical component of your data governance practice. Here’s an overview of ten popular data discovery tools (in no particular order) that are available today.

Metadata 40

Metadata Unstructured Data Government Data Governance 40

Knowledge Hut

MARCH 19, 2024

Relational Database Service (RDS) Use Cases Since Amazon Relational Database Service (Amazon RDS) is a managed database service, it alleviates the stress associated with maintaining, administering, and other database-related responsibilities. Thus, there is no on-premises infrastructure.

AWS 52

AWS Amazon Web Services Hospitality Cloud Computing 52

U-Next

SEPTEMBER 7, 2022

Structuring data refers to converting unstructured data into tables and defining data types and relationships based on a schema. The data lakes store data from a wide variety of sources, including IoT devices, real-time social media streams, user data, and web application transactions.

Data Lake 52

Data Lake Data Warehouse Unstructured Data Amazon Web Services 52

Edureka

FEBRUARY 9, 2023

Azure data engineers are essential in the design, implementation, and upkeep of cloud-based data solutions. Data ingestion, transformation, and storage are among their responsibilities, as are data governance and security. Some popular web frameworks for building a blog in Python include Django, Flask, and Pyramid.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

AltexSoft

SEPTEMBER 23, 2021

With a data hub, businesses receive the means to structure, and harmonize information collected from various sources. A data hub serves as a single point of access for all data consumers, whether it be an application, a data scientist, or a business user. Data lake vs data hub. Data hub architecture.

Architecture 52

Architecture Data Lake Unstructured Data Data Warehouse 52

Knowledge Hut

SEPTEMBER 6, 2023

Over the past decade, the IT world transformed with a data revolution. Back when I studied Computer Science in the early 2000s, databases like MS Access and Oracle ruled. The rise of big data and NoSQL changed the game. Systems evolved from simple to complex, and we had to split how we find data from where we store it.

Database 52

Database Certification MongoDB MySQL 52

ProjectPro

JANUARY 19, 2022

Azure Data Engineer Job Description | Accenture Azure Certified Data Engineer Azure Data Engineer Certification Microsoft Azure Projects for Practice to Enhance Your Portfolio FAQs Who is an Azure Data Engineer? This is where the Azure Data Engineer enters the picture.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

ProjectPro

JANUARY 27, 2023

Data Warehousing - ETL tools and processes can be leveraged to load data into a data warehouse for reporting and analysis. Master Data Management - ETL processes can be leveraged to maintain a single version of truth for key data entities by enforcing data governance, consolidation, and tracking data lineage.

BI 52

BI ETL Tools Retail Healthcare 52

U-Next

AUGUST 25, 2022

A fully accessible documentation store called MongoDB allows us to interact with data extremely effectively while storing a lot of it. Since MongoDB does not store or retrieve data in the form of columns, it is referred to as a NoSQL (Not Just SQL) database. Is MongoDB A Relational Database?

MongoDB 40

MongoDB Architecture NoSQL MySQL 40

ProjectPro

AUGUST 11, 2021

The data warehouse layer consists of the relational database management system (RDBMS) that contains the cleaned data and the metadata, which is data about the data. The RDBMS can either be directly accessed from the data warehouse layer or stored in data marts designed for specific enterprise departments.

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

AltexSoft

NOVEMBER 10, 2021

At the same time, it brings structure to data and empowers data management features similar to those in data warehouses by implementing the metadata layer on top of the store. Data warehouse. Traditional data warehouse platform architecture. Poor data quality, reliability, and integrity.

Architecture 52

Architecture Data Lake Data Warehouse Metadata 52

AltexSoft

NOVEMBER 23, 2021

Not to mention that additional sources are constantly being added through new initiatives like big data analytics , cloud-first, and legacy app modernization. To break data silos and speed up access to all enterprise information, organizations can opt for an advanced data integration technique known as data virtualization.

Process 69

Process Data Lake Metadata Data Warehouse 69

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. What is unstructured data?

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

AltexSoft

AUGUST 22, 2022

What is data fabric? A data fabric is an architecture design presented as an integration and orchestration layer built on top of multiple disjointed data sources like relational databases , data warehouses , data lakes, data marts , IoT , legacy systems, etc., Data fabric architecture example.

Architecture 52

Architecture Metadata Data Lake Machine Learning 52

AltexSoft

JULY 29, 2022

According to the latest report by Allied Market Research , the Big Data platform will see the biggest rise in adoption in telecommunication, healthcare, and government sectors. Today, companies have the opportunity to run Big Data analytics on Hadoop without investing in hardware. Source: Allied Market Research.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

ProjectPro

AUGUST 26, 2015

Here’s a look at important milestones, tracking the evolutionary progress on how data has been collected, stored, managed and analysed- 1926 – Nikola Tesla predicted that humans will be able to access and analyse huge amounts of data in the future by using a pocket friendly device. 1937 - Franklin D. Truskowski.

Big Data 40

Big Data Unstructured Data Hadoop NoSQL 40

ProjectPro

JULY 30, 2021

Community cloud - It allows multiple organisations in a group to access services and systems to share information and computing. Mobile Computing, as the name suggests, is related to Mobile devices and tablets. It is responsible for accessing the internet and performing searches and application tasks for mobile systems.

Cloud Computing 40

Cloud Computing Cloud Amazon Web Services AWS 40

AltexSoft

SEPTEMBER 21, 2023

These indices are specially designed data structures that map out the data for rapid searches, allowing for the retrieval of queries in milliseconds. As a result, Elasticsearch is exceptionally efficient in managing structured and unstructured data.

Engineering 52

Engineering NoSQL Programming Language Java 52

ProjectPro

MARCH 16, 2015

Thus, the computing technology and infrastructure must be able to render a cost efficient implementation of: Parallel Data Processing that is unconstrained. Provide storage for billions and trillions of unstructured data sets. The upswing for big data in healthcare industry is due to the falling cost of storage.

Healthcare 40

Healthcare Big Data Project Hospitality 40

U-Next

OCTOBER 27, 2022

Cloud computing is the term used to describe internet data storage and access. It doesn’t store any data on your computer’s hard drive and allows users to access data from faraway servers. You can easily access as many resources as you require and only pay for those that you utilize. .

AWS 40

AWS Amazon Web Services Cloud Computing Cloud 40

ProjectPro

MAY 31, 2021

To create a successful data project, collect and integrate data from as many different sources as possible. Here are some options for collecting data that you can utilize: Connect to an existing database that is already public or access your private database.

Big Data 52

Big Data Coding Project Hadoop 52

U-Next

SEPTEMBER 29, 2022

What Is a Data-Driven Culture? . Data on a daily basis surround us. As data becomes more accessible, companies are leveraging it to grow and make an impact. The importance of data today cannot be overstated. Having a data-driven culture is essential for organizations’ survival and growth. .

Management 52

Management Unstructured Data Data Government 52

Monte Carlo

JANUARY 24, 2023

This happens when your data fabric unifies all your data, provides universal access controls, and improves discoverability for all data consumers. Instead of relying on time-consuming integrations, complicated pipelines, and hefty relational databases, data consumers can tap into easily accessible and visualized data.

Metadata 40

Metadata Unstructured Data Data Architecture 40