Knowledge Hut

JANUARY 18, 2024

The Data Scientist job description is a culmination of the work of a mathematician, scientist, statistician, and computer professional. Using advanced analytical tools, a data scientist interprets data and presents it in meaningful information. For more information, check out the best Data Science certification.

Data Science 98

Data Science Business Analyst ETL Method Data Architect 98

Snowflake

NOVEMBER 2, 2023

Over the years, the technology landscape for data management has given rise to various architecture patterns, each thoughtfully designed to cater to specific use cases and requirements. Rather than defining schema upfront, a user can decide which data and schema they need for their use case.

Data Lake 92

Data Lake Data Warehouse Cloud Unstructured Data 92

Monte Carlo

NOVEMBER 9, 2023

In my opinion, enterprise ready generative AI must be: Secure & private: Your AI application must ensure that your data is secure, private, and compliant, with proper access controls. We *know* what we’re putting in (raw, often unstructured data) and we *know* what we’re getting out, but we don’t know how it got there.

Unstructured Data 86

Unstructured Data Database Data Pipeline Architecture 86

DareData

MARCH 5, 2024

Positioned as the first commercial application of its kind within NOS , this chatbot serves as a gateway for customers to access information about NOS services seamlessly. By extracting pertinent information, it delivers contextually appropriate responses to user queries, redefining the landscape of customer support and engagement.

Database-centric 52

Database-centric Telecommunication SQL Unstructured Data 52

Precisely

SEPTEMBER 6, 2023

The Rise of Unstructured Data Governing structured data is relatively easy. It’s a fairly simple proposition to define the attributes of the data and detect records that fail to meet expectations. The same does not hold true for unstructured data. Unstructured data contains many quality dimensions.

Data Governance 52

Data Governance Big Data Government Unstructured Data 52

Cloudera

FEBRUARY 7, 2023

Financial inclusion, defined as the availability and accessibility of financial services to underserved communities, is a critical issue facing the banking industry today. Access to financial services and credit can help lift individuals and entire underserved communities out of poverty. According to the World Bank, 1.7

Banking 75

Banking Technology Insurance Unstructured Data 75

Monte Carlo

MAY 14, 2024

Depending on the quantity of data flowing through an organization’s pipeline — or the format the data typically takes — the right modern table format can help to make workflows more efficient, increase access, extend functionality, and even offer new opportunities to activate your unstructured data.

Data Lake 52

Data Lake Metadata Hadoop Data Governance 52

Knowledge Hut

DECEMBER 26, 2023

An information and computer scientist, database and software programmer, curator, and knowledgeable annotator are all examples of data scientists. They are all crucial for the administration of digital data collection to be successful. Need for Data Science The purpose of data science is to find patterns.

Data Science 52

Data Science Unstructured Data Medical Healthcare 52

Knowledge Hut

MAY 23, 2024

Data science professionals are scattered across various industries. This data science tool helps in digital marketing & the web admin can easily access, visualize, and analyze the website traffic, data, etc., A lot of MNCs and Fortune 500 companies are utilizing this tool for statistical modeling and data analysis.

Data Science 52

Data Science MongoDB Programming Language Unstructured Data 52

Data Engineering Weekly

APRIL 7, 2024

[link] Matt Turck: Full Steam Ahead: The 2024 MAD (Machine Learning, AI & Data) Landscape Coninue the week of insights into the world of data & AI landscape, the 2024 MAD landscape is out. I have provided links for informational purposes and do not suggest endorsement. link] All rights reserved ProtoGrowth Inc, India.

Data Engineering 70

Data Engineering Data Engineer Engineering Unstructured Data 70

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

Data Engineering Podcast

JULY 31, 2022

In this episode Ernie Ostic shares the approach that he and his team at Manta are taking to build a complete view of data lineage across the various data systems in your organization and the useful applications of that information in the work of every data stakeholder. Atlan is the metadata hub for your data ecosystem.

IT 100

IT Metadata MongoDB MySQL 100

Data Engineering Weekly

MARCH 3, 2024

This approach led to a successful expansion of Copilot access across the engineering team, resulting in a significant increase in productivity and adoption, demonstrating a commitment to enhancing developer experience while maintaining safety and security standards. Part 1: Why did we need to build our own SIEM?

Data Engineering 67

Data Engineering Data Engineer Pipeline-centric Engineering 67

Knowledge Hut

DECEMBER 22, 2023

Power BI is a technology-driven business intelligence tool or an array of software services, apps, and connectors to convert unrelated and raw data into visually immersive, coherent, actionable, and interactive insights and information. Microsoft developed it and combines business analytics, data visualization, and best practices.

BI 98

BI Business Intelligence Machine Learning SQL 98

Knowledge Hut

DECEMBER 26, 2023

According to the Cybercrime Magazine, the global data storage is projected to be 200+ zettabytes (1 zettabyte = 10 12 gigabytes) by 2025, including the data stored on the cloud, personal devices, and public and private IT infrastructures. Data Analysts require good knowledge of Mathematics and Statistics, Coding, and Machine Learning.

Data Science 97

Data Science BI Business Intelligence Data Mining 97

Knowledge Hut

NOVEMBER 7, 2023

With quick access to various technologies through the cloud, you can develop more quickly and create almost anything you can imagine. You can swiftly provision infrastructure services like computation, storage, and databases, as well as machine learning, the internet of things, data lakes and analytics, and much more.

Cloud Computing 98

Cloud Computing Cloud Amazon Web Services Entertainment 98

U-Next

MARCH 1, 2023

They build scalable data processing pipelines and provide analytical insights to business users. A Data Engineer also designs, builds, integrates, and manages large-scale data processing systems. It’s not just the data itself that is important, but also how that data can be used to make better decisions.

Data Engineering 75

Data Engineering Data Engineer Non-relational Database Engineering 75

Monte Carlo

AUGUST 25, 2023

This same structure aids in maintaining data quality and simplifies how users interact with and understand the data. One advantage of data warehouses is their integrated nature. As fully managed solutions, data warehouses are designed to offer ease of construction and operation. Or maybe both.)

Data Lake 52

Data Lake Data Warehouse Unstructured Data Raw Data 52

Knowledge Hut

APRIL 23, 2024

Need for Skilled Personnel We see data in different forms; it can be categorized into structured, semi-structured, and unstructured data. Only those equipped to deal with big data can help organizations resolve issues, make data-backed decisions, and use it to generate crucial business information that facilitates scaling.

Big Data 52

Big Data Media Government Big Data Skills 52

U-Next

MARCH 12, 2023

As long as a device is equipped with the internet, it can access the data and software programs required to run them. A web data center server’s hardware and operating system are called a “cloud platform.” Customers with an Azure subscription get access to all the services offered through the Azure site.

Cloud Computing 75

Cloud Computing Unstructured Data Cloud Government 75

AltexSoft

JUNE 26, 2023

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. We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection?

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

Cloudera

JUNE 7, 2022

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. Where data flows, ideas follow.

IT 110

IT Unstructured Data Data Architecture Government 110

Precisely

MARCH 9, 2023

As cloud computing platforms make it possible to perform advanced analytics on ever larger and more diverse data sets, new and innovative approaches have emerged for storing, preprocessing, and analyzing information. Data lakes are often used for situations in which an organization wishes to store information for possible future use.

Data Lake 57

Data Lake Data Warehouse Hadoop Raw Data 57

Towards Data Science

DECEMBER 4, 2023

In today’s Formula 1, data is at the core, way more than it was 20 or 30 years back. Racing teams are improving performance with a phenomenal data-driven approach, making improvements millisecond by millisecond. Very High Level Design It’s not only about the lap time; Formula 1 is a multi-billion-dollar business.

Data Engineering 88

Data Engineering Data Engineer Engineering Data Lake 88

Knowledge Hut

JANUARY 30, 2024

Data extraction is the vital process of retrieving raw data from diverse sources, such as databases, Excel spreadsheets, SaaS platforms, or web scraping efforts. This data can be structured, semi-structured, or entirely unstructured, making it a versatile tool for collecting information from various origins.

ETL Tools 52

ETL Tools Database-centric Data Mining Data Cleanse 52

Knowledge Hut

SEPTEMBER 26, 2023

Azure data engineer certification pathgives detailed information about the same. Who is an Azure Data Engineer? A person who designs and implements data management , monitoring, security, and privacy utilizing the entire suite of Azure data services to meet an organization's business needs is known as an Azure Data Engineer.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

AltexSoft

AUGUST 29, 2023

The goal is to provide a comprehensive guide that can be a navigational tool for all specialists plotting their course in today’s data-driven world. What is a data lake? A data lake is a centralized repository designed to hold vast volumes of data in its native, raw format — be it structured, semi-structured, or unstructured.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Precisely

MAY 13, 2024

A well-integrated data catalog supports the extensive discovery, access, use, and sharing of both technical and business metadata – automating and improving your data integration and operations tasks. Questions to ask each vendor: Does your data integration solution provide access to the metadata?

Data Integration 52

Data Integration Metadata Amazon Web Services Data Governance 52

Knowledge Hut

DECEMBER 26, 2023

Importance of Big Data Companies Big Data is intricate and can be challenging to access and manage because data often arrives quickly in ever-increasing amounts. Both structured and unstructured data may be present in this data. Thus, big data in big companies is used for various purposes.

Big Data 52

Big Data Unstructured Data Amazon Web Services Hadoop 52

Workfall

MARCH 21, 2023

Its design allows it to run in a variety of environments, including embedded or distributed cloud environments. SurrealQL supports real-time queries, faster and more performant query processing, advanced permissions, and access control for multi-tenant applications. In this blog, we’ll explore: What is SurrealDB? What is Jamstack?

PostgreSQL 68

PostgreSQL NoSQL Database Unstructured Data 68

Cloudera

OCTOBER 7, 2021

Introduction to the Data Mesh Architecture. The concept of the data mesh architecture is not entirely new; Its conceptual origins are rooted in the microservices architecture, its design principles (i.e., In the Enterprise Data Management realm, such a data domain is called an Authoritative Data Domain (ADD).

Architecture 124

Architecture Metadata Government Kafka 124

Precisely

FEBRUARY 9, 2024

Trusted AI Outcomes Require a Focus on Data Integrity Everyone’s talking about artificial intelligence (AI) for its unique ability to automate or accelerate user tasks, resulting in greater efficiency and productivity and a reduced dependence on manual labor. But few organizations have the data integrity required to power meaningful outcomes.

Data Integration 67

Data Integration Government Metadata Data 67

Knowledge Hut

MARCH 27, 2024

What Is Big Data Analytics? An organization can make informed decisions based on a big data analytics platform, which works by uncovering patterns, correlations, customer preferences and market trends hidden in the data. Some open-source technology for big data analytics are : Hadoop. Apache Spark. Apache Storm.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

Monte Carlo

NOVEMBER 6, 2023

Odds are you’re not starved for data; you’re buried in it. Also known as data catalogs, data discovery tools are specialized software solutions designed to navigate, identify, and visualize data sources within an organization.

Metadata 40

Metadata Unstructured Data Government Data Governance 40

Knowledge Hut

JULY 26, 2023

Database applications are software programs or systems that are designed to organize and efficiently store, handle, and retrieve vast amounts of data. A database application program is created to communicate with databases, which are structured repositories where data is stored in an organized fashion.

Database 52

Database NoSQL Telecommunication MongoDB 52

Monte Carlo

JUNE 14, 2023

Why is data pipeline architecture important? Data pipeline architecture is the process of designing how data is surfaced from its source system to the consumption layer. For data engineers, good data pipeline architecture is critical to solving the 5 v’s posed by big data: volume, velocity, veracity, variety, and value.

Data Pipeline 52

Data Pipeline Architecture Data Lake Data Warehouse 52

Knowledge Hut

JANUARY 22, 2024

Check out the Data Science course fee to start your journey. Why is Data Science So Important? Data is not useful until it is transformed into valuable information. First, there has been a big bang moment of newly available data sets, when almost all information, including financial transactions, is moving online.

Data Science 52

Data Science Banking Big Data Insurance 52