The Modern Data Company

JANUARY 22, 2024

The Modern Story: Navigating Complexity and Rethinking Data in The Business Landscape Enterprises face a data landscape marked by the proliferation of IoT-generated data, an influx of unstructured data, and a pervasive need for comprehensive data analytics.

Data Integration 98

Data Integration Metadata Government Unstructured Data 98

Knowledge Hut

DECEMBER 26, 2023

Thus, to build a career in Data Science, you need to be familiar with how the business operates, its business model, strategies, problems, and challenges. Data Science Roles As Data Science is a broad field, you will find multiple different roles with different responsibilities.

Data Science 97

Data Science BI Business Intelligence Data Mining 97

Knowledge Hut

JANUARY 18, 2024

Data Science is a field of study that handles large volumes of data using technological and modern techniques. This field uses several scientific procedures to understand structured, semi-structured, and unstructured data. Both data science and software engineering rely largely on programming skills.

Software Engineer 97

Software Engineer Software Engineering Data Science Engineering 97

Data Engineering Podcast

NOVEMBER 27, 2022

Summary The data ecosystem has been growing rapidly, with new communities joining and bringing their preferred programming languages to the mix. This has led to inefficiencies in how data is stored, accessed, and shared across process and system boundaries. images, documents, etc.)

Data Process 100

Data Process Process Metadata Business Intelligence 100

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. The Windows Store has Power BI Desktop, which Windows 10 users can get from.

BI 98

BI Business Intelligence Machine Learning SQL 98

Knowledge Hut

MAY 9, 2024

Data Architect ScyllaDB Data architects play a crucial role in designing an organization's data management framework by assessing data sources and integrating them into a centralized plan. They manage data storage and the ETL process. They bridge the gap between data and software.

Data Science 52

Data Science Data Mining Data Architect Programming Language 52

The Modern Data Company

JANUARY 22, 2024

The Modern Story: Navigating Complexity and Rethinking Data in The Business Landscape Enterprises face a data landscape marked by the proliferation of IoT-generated data, an influx of unstructured data, and a pervasive need for comprehensive data analytics.

Data Integration 87

Data Integration Metadata Government Unstructured Data 87

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. Customers that require a hybrid of these to support many different tools and languages have built a data lakehouse.

Data Lake 100

Data Lake Data Warehouse Cloud Unstructured Data 100

Knowledge Hut

DECEMBER 29, 2023

Big Data is a part of this umbrella term, which encompasses Data Warehousing and Business Intelligence as well. A Data Engineer's primary responsibility is the construction and upkeep of a data warehouse. They construct pipelines to collect and transform data from many sources.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

ProjectPro

JUNE 6, 2015

In an era of digital transformation of enterprises, there are several questions that have arisen- How can business intelligence provide real time insights? How can business intelligence scale and analyse the growing data heap? How can business intelligence meet changing business needs?

Business Intelligence 40

Business Intelligence Big Data BI Hadoop 40

Monte Carlo

JULY 19, 2023

In this article, we’ll present you with the Five Layer Data Stack—a model for platform development consisting of five critical tools that will not only allow you to maximize impact but empower you to grow with the needs of your organization. However, this won’t simply be where you store your data—it’s also the power to activate it.

Building 96

Building Business Intelligence Cloud Storage BI 96

ProjectPro

SEPTEMBER 26, 2014

The toughest challenges in business intelligence today can be addressed by Hadoop through multi-structured data and advanced big data analytics. Big data technologies like Hadoop have become a complement to various conventional BI products and services. Big data, multi-structured data, and advanced analytics.

Business Intelligence 40

Business Intelligence Hadoop BI Relational Database 40

Knowledge Hut

APRIL 26, 2024

Let's take a look at all the fuss about data science , its courses, and the path to the future. What is Data Science? In order to discover insights and then analyze multiple structured and unstructured data, Data Science requires the use of different instruments, algorithms and principles.

Data Science 52

Data Science Machine Learning Hadoop Programming Language 52

Data Engineering Podcast

JULY 31, 2022

Push information about data freshness and quality to your business intelligence, automatically scale up and down your warehouse based on usage patterns, and let the bots answer those questions in Slack so that the humans can focus on delivering real value. How have the design and goals of the product changed or evolved?

IT 100

IT Metadata MongoDB MySQL 100

Knowledge Hut

DECEMBER 26, 2023

Let us first get a clear understanding of why Data Science is important. What is the need for Data Science? If we look at history, the data that was generated earlier was primarily structured and small in its outlook. A simple usage of Business Intelligence (BI) would be enough to analyze such datasets.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

Monte Carlo

JANUARY 27, 2024

In this article, we’ll present you with the Five Layer Modern Data Stack—a model for platform development consisting of five critical tools that will not only allow you to maximize impact but empower you to grow with the needs of your organization. However, this won’t simply be where you store your data—it’s also the power to activate it.

Building 52

Building Business Intelligence Cloud Storage BI 52

Knowledge Hut

JUNE 23, 2023

You must develop predictive models to help industries and businesses make data-driven decisions. Steps to Become a Data Engineer One excellent point is that you don’t need to enter the industry as a data engineer. Data warehousing to aggregate unstructured data collected from multiple sources.

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 52

Knowledge Hut

JUNE 20, 2023

Data engineers play three important roles: Generalist: With a key focus, data engineers often serve in small teams to complete end-to-end data collection, intake, and processing. While they might be more experienced than most data engineers, they need a solid understanding of systems design.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

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

AltexSoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. What is a data lake?

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

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 83

Data Engineering Data Engineer Engineering Data Lake 83

Monte Carlo

JUNE 14, 2023

In this post, we will help you quickly level up your overall knowledge of data pipeline architecture by reviewing: Table of Contents What is data pipeline architecture? Why is data pipeline architecture important? What is data pipeline architecture?

Data Pipeline 52

Data Pipeline Architecture Data Lake Data Warehouse 52

Knowledge Hut

DECEMBER 26, 2023

Big Data: Concepts, Technology and Architecture For data scientists, engineers, and database managers, Big Data is the best book to learn big data. It belongs in the bookcases of business intelligence analysts as well because they have to make decisions based on a ton of data.

Big Data 75

Big Data Data Mining Business Intelligence Machine Learning 75

Monte Carlo

JANUARY 23, 2023

In this post we compare and contrast the data mesh vs data lake to illustrate the benefits of each and help discover what’s right for your data platform. In a self-service data landscape, every team wants their business intelligence served up hot and fast. Now, let’s take a look at each in a bit more detail.

Data Lake 52

Data Lake Business Intelligence Unstructured Data Architecture 52

Cloud Academy

NOVEMBER 6, 2022

A Headless BI tool is a set of components that acts as middleware between your data warehouse and your business intelligence applications. It provides us with four main data-related components without the need of designing and implementing custom solutions. What is a Headless BI Tool?

Cloud 52

Cloud BI Data Warehouse Business Intelligence 52

Edureka

FEBRUARY 9, 2023

Azure Data Engineering is a rapidly growing field that involves designing, building, and maintaining data processing systems using Microsoft Azure technologies. As the demand for data engineers grows, having a well-written resume that stands out from the crowd is critical.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Silectis

JANUARY 3, 2021

If you’re new to data engineering or are a practitioner of a related field, such as data science, or business intelligence, we thought it might be helpful to have a handy list of commonly used terms available for you to get up to speed. Big Data Large volumes of structured or unstructured data.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Knowledge Hut

MARCH 27, 2024

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. Technologies and techniques for data analytics enable organizations to gather new information and analyze data sets on a broad scale.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

Snowflake

APRIL 5, 2023

With Snowflake’s support for multiple data models such as dimensional data modeling and Data Vault, as well as support for a variety of data types including semi-structured and unstructured data, organizations can accommodate a variety of sources to support their different business use cases.

Data Warehouse 52

Data Warehouse Healthcare Unstructured Data Metadata 52

Monte Carlo

AUGUST 31, 2023

Data is a priority for your CEO, as it often is for digital-first companies, and she is fluent in the latest and greatest business intelligence tools. What about a frantic email from your CTO about “duplicate data” in a business intelligence dashboard? What is a decentralized data architecture?

Data Lake 52

Data Lake Data Pipeline Unstructured Data Data Warehouse 52

U-Next

AUGUST 18, 2022

Data Scientist is a highly dynamic job and requires a person to be well-versed in AI, business intelligence, Machine Learning earning, etc. What Does a Data Scientist Do? You could receive ten different responses if you consult ten distinct Data Scientists with the same question. Learn more about it here.

Unstructured Data 40

Unstructured Data Medical Data Science Business Intelligence 40

Knowledge Hut

DECEMBER 27, 2023

You can do many courses after completing your BBA in the business administration sector or tech. Some of you may want to work in a field other than business administration, like data science. You can sign up for the Business Intelligence and Visualisation programme by KnowledgeHut. What Is BBA?

Banking 52

Banking Recruitment Finance Portfolio 52

Knowledge Hut

JANUARY 30, 2024

This data can be structured, semi-structured, or entirely unstructured, making it a versatile tool for collecting information from various origins. The extracted data is then duplicated or transferred to a designated destination, often a data warehouse optimized for Online Analytical Processing (OLAP).

ETL Tools 52

ETL Tools Database-centric Data Mining Data Cleanse 52

Databand.ai

JULY 11, 2023

Data Quality Platform: Benefits, Key Features, and How to Choose Eric Jones July 11, 2023 What Is a Data Quality Platform? A data quality platform is a software solution designed to help organizations manage, maintain, and improve the quality of their data.

Data Cleanse 52

Data Cleanse Telecommunication High Quality Data BI 52

Knowledge Hut

DECEMBER 22, 2023

Statistics are used by data scientists to collect, assess, analyze, and derive conclusions from data, as well as to apply quantifiable mathematical models to relevant variables. Microsoft Excel An effective Excel spreadsheet will arrange unstructured data into a legible format, making it simpler to glean insights that can be used.

Hadoop 98

Hadoop Deep Learning Data Science Machine Learning 98

AltexSoft

FEBRUARY 11, 2023

In the article, we explore the role of a data architect, discuss the responsibilities and required skills, and share what kind of companies may need such a specialist. What is a data architect? To get a better understanding of a data architect’s role, let’s clear up what data architecture is.

Data Architect 87

Data Architect Certification Generalist Big Data 87

phData: Data Engineering

SEPTEMBER 19, 2023

With the amount of data companies are using growing to unprecedented levels, organizations are grappling with the challenge of efficiently managing and deriving insights from these vast volumes of structured and unstructured data. What are Data Modeling Methodologies, and Why Are They Important for a Data Lake?

Data Lake 52

Data Lake Process Metadata Data Warehouse 52