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. txt), Microsoft Word documents (.doc,docx),

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

AltexSoft

AUGUST 29, 2023

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. This article explains what a data lake is, its architecture, and diverse use cases. Who needs a data lake? Structured data sources.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Knowledge Hut

JUNE 28, 2023

It also entails data utilization, analysis techniques, user roles, and applications, allowing for a comprehensive comparison between business intelligence and data mining cycle. By examining these factors, organizations can make informed decisions on which approach best suits their data analysis and decision-making needs.

Data Mining 52

Data Mining Business Intelligence BI Datasets 52

The Modern Data Company

MAY 8, 2023

The Data Lake: A Reservoir of Unstructured Potential A data lake is a centralized repository that stores vast amounts of raw data. It can store any type of data — structured, unstructured, and semi-structured — in its native format, providing a highly scalable and adaptable solution for diverse data needs.

Data Management 52

Data Management Data Lake Management Data Governance 52

The Modern Data Company

MAY 8, 2023

The Data Lake: A Reservoir of Unstructured Potential A data lake is a centralized repository that stores vast amounts of raw data. It can store any type of data — structured, unstructured, and semi-structured — in its native format, providing a highly scalable and adaptable solution for diverse data needs.

Data Management 52

Data Management Data Lake Management Data Governance 52

The Modern Data Company

MAY 8, 2023

The Data Lake: A Reservoir of Unstructured Potential A data lake is a centralized repository that stores vast amounts of raw data. It can store any type of data — structured, unstructured, and semi-structured — in its native format, providing a highly scalable and adaptable solution for diverse data needs.

Data Management 52

Data Management Data Lake Management Data Governance 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. To provide meaningful business insights, it collects and manages data from a variety of sources. In other words, it is the process of converting data into information. .

Data Lake 52

Data Lake Data Warehouse Unstructured Data Amazon Web Services 52

Knowledge Hut

SEPTEMBER 26, 2023

The insights derived from the data in hand are then turned into impressive business intelligence visuals such as graphs or charts for the executive management to make strategic decisions. In this post, we will discuss the top power BI developer skills required to access Microsoft’s power business intelligence software.

BI 52

BI Business Intelligence Raw Data Data Analysis 52

Knowledge Hut

APRIL 25, 2024

Data analytics is exploding in boardrooms all over the world, offering enterprise-wide commercial success techniques. Gaining the appropriate expertise, which results in information, enables organizations to develop a competitive edge, which is crucial for enterprises to successfully leverage Big Data.

Big Data 52

Big Data Data Analytics Manufacturing Retail 52

Edureka

AUGUST 2, 2023

Organisations and businesses are flooded with enormous amounts of data in the digital era. This information is gathered from a variety of sources, including sensor readings, social media engagements, and client transactions. Raw data, however, is frequently disorganised, unstructured, and challenging to work with directly.

Data Process 52

Data Process Process Data Cleanse Data Mining 52

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

Ascend.io

NOVEMBER 21, 2023

More importantly, we will contextualize ELT in the current scenario, where data is perpetually in motion, and the boundaries of innovation are constantly being redrawn. Extract The initial stage of the ELT process is the extraction of data from various source systems. What Is ELT? So, what exactly is ELT?

Raw Data 52

Raw Data Data Warehouse Data Cleanse Data Integration 52

Knowledge Hut

JANUARY 19, 2024

Recent reports highlight a significant increase in demand for data scientists, rising by 27.9% This surge underscores the pivotal role data scientists play in guiding informed decisions, optimizing processes, and fostering innovation. That's the promise of a career in data science. Implementing machine learning magic.

Data Science 52

Data Science Machine Learning Datasets Algorithm 52

ProjectPro

FEBRUARY 16, 2023

Business Intelligence and Artificial Intelligence are popular technologies that help organizations turn raw data into actionable insights. While both BI and AI provide data-driven insights, they differ in how they help businesses gain a competitive edge in the data-driven marketplace.

Business Intelligence 52

Business Intelligence BI Data Mining Raw Data 52

Monte Carlo

FEBRUARY 15, 2023

A data warehouse tool should be optimized for analytical queries, with features such as columnar storage, that make it much faster to process common ad-hoc questions. Let’s imagine a scenario where you’re collecting orders information. Cleaning Bad data can derail an entire company, and the foundation of bad data is unclean data.

Data Warehouse 52

Data Warehouse Unstructured Data AWS Business Intelligence 52

ProjectPro

JANUARY 27, 2023

You have probably heard the saying, "data is the new oil". It is extremely important for businesses to process data correctly since the volume and complexity of raw data are rapidly growing. However, the vast volume of data will overwhelm you if you start looking at historical trends. Well, it surely is!

BI 52

BI ETL Tools Retail Healthcare 52

ProjectPro

FEBRUARY 16, 2023

Data integration with ETL has evolved from structured data stores with high computing costs to natural state storage with read operation alterations thanks to the agility of the cloud. Data integration with ETL has changed in the last three decades. This ensures that companies' data is always protected and secure.

AWS 52

AWS Data Management ETL Tools Management 52

Grouparoo

JANUARY 11, 2022

When it comes to storing large volumes of data, a simple database will be impractical due to the processing and throughput inefficiencies that emerge when managing and accessing big data. This article looks at the options available for storing and processing big data, which is too large for conventional databases to handle.

Data Lake 52

Data Lake Data Warehouse Unstructured Data Raw Data 52

AltexSoft

MARCH 14, 2023

That’s why some MDS tools are commercial distributions designed to be low-code or even no-code, making them accessible to data practitioners with minimal technical expertise. This means that companies don’t necessarily need a large data engineering team. Data democratization. Data storage component in a modern data stack.

IT 59

IT Data Warehouse Data Governance Data Lake 59

Knowledge Hut

DECEMBER 26, 2023

If you continue tracking these data points for over six months or a year, you will be able to gather more information about your sleeping patterns; when do you have short-awakenings at night, when do you sleep the most, how long do you sleep on holidays, etc. What is the role of a Data Engineer?

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

Knowledge Hut

MARCH 27, 2024

The collection of meaningful market data has become a critical component of maintaining consistency in businesses today. A company can make the right decision by organizing a massive amount of raw data with the right data analytic tool and a professional data analyst. What Is Big Data Analytics?

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

Edureka

AUGUST 2, 2023

It is a crucial tool for data scientists since it enables users to create, retrieve, edit, and delete data from databases.SQL (Structured Query Language) is indispensable when it comes to handling structured data stored in relational databases. Data scientists use SQL to query, update, and manipulate data.

Programming Language 52

Programming Language Programming Scala Pharmaceutical 52

Knowledge Hut

JANUARY 18, 2024

Insights in data science are the deep understanding acquired by an individual or organization as a result of examining information on a particular subject. We live in the digital world, where we have the access to a large volume of information. messages per user, with a 20% open rate.

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Data Science Media Food Data 52

Knowledge Hut

JANUARY 18, 2024

and In my view, Data Science primarily focuses on engineering, processing, interpreting, and analyzing data to facilitate effective and informed decision-making. Similarly, Data Science positions are on the rise, highlighting the growing need for experts who can work with data to make informed decisions.

Data Science 98

Data Science Deep Learning Business Analyst Data Mining 98

Ascend.io

AUGUST 31, 2023

The Data Lake Pattern Emerging in contrast to the structured world of warehousing, data lakes cater to the dynamic and diverse nature of modern internet-based applications. These fluid conditions require unstructured data environments that natively operate with constantly changing formats, data structures, and data semantics.

Data Lake 52

Data Lake ETL Tools Data Warehouse Data Pipeline 52

Workfall

JULY 4, 2023

Reading Time: 8 minutes In the world of data engineering, a mighty tool called DBT (Data Build Tool) comes to the rescue of modern data workflows. Imagine a team of skilled data engineers on an exciting quest to transform raw data into a treasure trove of insights.

Data Warehouse 69

Data Warehouse SQL PostgreSQL Database 69

ProjectPro

DECEMBER 7, 2021

This blog will give you an in-depth knowledge of what is a data pipeline and also explore other aspects such as data pipeline architecture, data pipeline tools, use cases, and so much more. As data is expanding exponentially, organizations struggle to harness digital information's power for different business use cases.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

Monte Carlo

APRIL 24, 2023

By accommodating various data types, reducing preprocessing overhead, and offering scalability, data lakes have become an essential component of modern data platforms , particularly those serving streaming or machine learning use cases. AWS is one of the most popular data lake vendors.

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 52

U-Next

OCTOBER 20, 2022

The primary goal of data collection is to gather high-quality information that aims to provide responses to all of the open-ended questions. Businesses and management can obtain high-quality information by collecting data that is necessary for making educated decisions. . What is Data Collection? A Definition .

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Data Collection Big Data Data Medical 52

U-Next

OCTOBER 25, 2022

In data manipulation, data is organized in a way that makes it easier to read, or that makes it more visually appealing, or that makes it more structured. Data collections can be organized alphabetically to make them easier to understand. . Tableau: Tableau is a Salesforce tool used for data manipulation.

Business Intelligence 40

Business Intelligence Raw Data Data Cleanse Data Analysis 40

Knowledge Hut

OCTOBER 24, 2023

This involves listening attentively, asking the right questions, and being able to summarize information. SQL and SQL Server BAs must deal with the organization's structured data. BAs can store and process massive volumes of data with the use of these databases.

Business Analyst 98

Business Analyst Business Intelligence SQL Programming Language 98

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. Traditional data warehouse platform architecture. Another type of data storage — a data lake — tried to address these and other issues.

Architecture 52

Architecture Data Lake Data Warehouse Metadata 52

ProjectPro

AUGUST 11, 2021

This means that a data warehouse is a collection of technologies and components that are used to store data for some strategic use. Data is collected and stored in data warehouses from multiple sources to provide insights into business data. Data from data warehouses is queried using SQL.

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

Knowledge Hut

DECEMBER 29, 2023

Engineering and problem-solving abilities based on Big Data solutions may also be taught. Career Options: This specialty may prepare you for positions such as: Computer systems analyst Computer network analyst Data scientist Data analyst Data Engineer Data manager D. Data mining's usefulness varies per sector.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

Knowledge Hut

JULY 28, 2023

DL models automatically learn features from raw data, eliminating the need for explicit feature engineering. Machine Learning vs Deep Learning: Feature Engineering ML algorithms require manual feature engineering, where domain experts extract and engineer relevant features from the data.

Deep Learning 52

Deep Learning Machine Learning Unstructured Data Algorithm 52

ProjectPro

JANUARY 31, 2023

If you're looking to break into the exciting field of big data or advance your big data career, being well-prepared for big data interview questions is essential. Get ready to expand your knowledge and take your big data career to the next level! Everything is about data these days. RDBMS stores structured data.

Big Data 52

Big Data Hadoop AWS Relational Database 52

Knowledge Hut

OCTOBER 30, 2023

The role of a Power BI developer is extremely imperative as a data professional who uses raw data and transforms it into invaluable business insights and reports using Microsoft’s Power BI. Ensure compliance with data protection regulations. Who is a Power BI Developer?

BI 52

BI Business Intelligence Data Cleanse Business Analyst 52