Hevo

FEBRUARY 23, 2025

Organizations generate tons of data every second, yet 80% of enterprise data remains unstructured and unleveraged (Unstructured Data). Organizations need data ingestion and integration to realize the complete value of their data assets.

Data Ingestion 40

Data Ingestion Data Integration Unstructured Data Raw Data 40

Snowflake

JUNE 30, 2023

To make that happen, it leverages the breadth of the Snowflake platform to transform raw data from multiple financial and operational systems into a common data model that users can understand more easily. semantha seeks to eliminate information overload with AI services for processing unstructured data like text and video.

Unstructured Data 98

Unstructured Data Raw Data Python SQL 98

Snowflake

MARCH 30, 2023

Collecting, cleaning, and organizing data into a coherent form for business users to consume are all standard data modeling and data engineering tasks for loading a data warehouse. Based on Tecton blog So is this similar to data engineering pipelines into a data lake/warehouse?

Engineering 105

Engineering Raw Data Data Science Machine Learning 105

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 Engineering 97

Software Engineering Software Engineer Data Science Engineering 97

Precisely

MARCH 9, 2023

We will also address some of the key distinctions between platforms like Hadoop and Snowflake, which have emerged as valuable tools in the quest to process and analyze ever larger volumes of structured, semi-structured, and unstructured data.

Data Lake 59

Data Lake Data Warehouse Hadoop Raw Data 59

Knowledge Hut

JANUARY 18, 2024

For more information, check out the best Data Science certification. A data scientist’s job description focuses on the following – Automating the collection process and identifying the valuable data. Look out for upgrades on analytical techniques.

Data Science 98

Data Science Business Analyst Data Architect ETL Method 98

Knowledge Hut

DECEMBER 26, 2023

Businesses benefit at large with these data collection and analysis as they allow organizations to make predictions and give insights about products so that they can make informed decisions, backed by inferences from existing data, which, in turn, helps in huge profit returns to such businesses. What is the role of a Data Engineer?

Data Engineering 98

Data Engineering Data Engineer Engineering Hadoop 98

Towards Data Science

MAY 3, 2023

VDK helps you easily perform complex operations, such as data ingestion and processing from different sources, using SQL or Python. You can use VDK to build data lakes and ingest raw data extracted from different sources, including structured, semi-structured, and unstructured data.

Data Lake 98

Data Lake SQL Data Data Warehouse 98

Knowledge Hut

APRIL 26, 2024

In the real world, data is not open source , as it is confidential and may contain very sensitive information related to an item , user or product. But raw data is available as open source for beginners and learners who wish to learn technologies associated with data.

Machine Learning 98

Machine Learning Datasets Deep Learning Finance 98

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

Monte Carlo

AUGUST 25, 2023

With pre-built functionalities and robust SQL support, data warehouses are tailor-made to enable swift, actionable querying for data analytics teams working primarily with structured data. This is particularly useful to data scientists and engineers as it provides more control over their calculations. Or maybe both.)

Data Lake 52

Data Lake Data Warehouse Unstructured Data Raw Data 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

Data Engineering Weekly

MAY 8, 2023

Receipt table (later referred to as table_receipts_index): It turns out that all the receipts were manually entered into the system, which creates unstructured data that is error-prone. This data collection method was chosen because it was simple to deploy, with each employee responsible for their own receipts.

Process 52

Process Banking Raw Data Finance 52

Monte Carlo

MARCH 12, 2025

Data Versioning: Want to know how your data changed over time? Improved Performance: Raw data lakes can be slow since they require scanning every file during a search. Delta Lake speeds things up by optimizing queries, giving you faster results without locking you into a rigid data warehouse. Why Data Lake?

Data Lake 52

Data Lake Raw Data Media Unstructured Data 52

Monte Carlo

FEBRUARY 25, 2025

Banks, healthcare systems, and financial reporting often rely on ETL to maintain highly structured, trustworthy data from the start. ELT (Extract, Load, Transform) ELT flips the orderstoring raw data first and applying transformations later. Data Lakes Data lakes store raw, unstructured data.

Designing 52

Designing Data Engineering Data Engineer Engineering 52

AltexSoft

MAY 12, 2022

Audio data file formats. Similar to texts and images, audio is unstructured data meaning that it’s not arranged in tables with connected rows and columns. The same relates to those who buy annotated sound collections from data providers. Audio data labeling.

Machine Learning 122

Machine Learning Building Deep Learning Healthcare 122

Knowledge Hut

AUGUST 16, 2024

Having a sound knowledge of either of these programming languages is enough to have a successful career in Data Science. Excel Excel is another very important prerequisite for Data Science. It is an important tool to understand, manipulate, analyze and visualize data.

Data Science 52

Data Science Hadoop Unstructured Data Programming Language 52

Striim

SEPTEMBER 11, 2024

Third-Party Data: External data sources that your company does not collect directly but integrates to enhance insights or support decision-making. These data sources serve as the starting point for the pipeline, providing the raw data that will be ingested, processed, and analyzed.

Data Pipeline 98

Data Pipeline Designing Data Lake Data Warehouse 98

ProjectPro

FEBRUARY 8, 2023

But this data is not that easy to manage since a lot of the data that we produce today is unstructured. In fact, 95% of organizations acknowledge the need to manage unstructured raw data since it is challenging and expensive to manage and analyze, which makes it a major concern for most businesses.

AWS 98

AWS Scala Metadata Data Lake 98

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 Management Data Lake 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 Management Data Lake 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 Management Data Lake Data Governance 52

Knowledge Hut

JULY 28, 2023

DL models automatically learn features from raw data, eliminating the need for explicit feature engineering. Data Types and Dimensionality ML algorithms work well with structured and tabular data, where the number of features is relatively small.

Deep Learning 52

Deep Learning Machine Learning Unstructured Data Algorithm 52

Towards Data Science

FEBRUARY 9, 2024

Viewing Data Lakes as a strategy rather than a product emphasizes their role as a staging area for structured and unstructured data, potentially interacting with Data Warehouses.

Building 98

Building Transportation Data Lake Metadata 98

Grouparoo

JANUARY 11, 2022

Difference Between Data Warehouse and Data Lake When looking at the difference between data lake and data warehouse, the following key properties distinguish data lakes vs data warehouses. Data lakes accept and store raw data in any format.

Data Lake 52

Data Lake Data Warehouse Unstructured Data Raw Data 52

Knowledge Hut

APRIL 23, 2024

Data Science is the field that focuses on gathering data from multiple sources using different tools and techniques. Whereas, Business Intelligence is the set of technologies and applications that are helpful in drawing meaningful information from raw data. Business Intelligence only deals with structured data.

Business Intelligence 52

Business Intelligence Data Science BI Unstructured Data 52

AltexSoft

JUNE 26, 2023

Data collection revolves around gathering raw data from various sources, with the objective of using it for analysis and decision-making. It includes manual data entries, online surveys, extracting information from documents and databases, capturing signals from sensors, and more.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

Cloudera

SEPTEMBER 15, 2022

Mark: While most discussions of modern data platforms focus on comparing the key components, it is important to understand how they all fit together. The collection of source data shown on your left is composed of both structured and unstructured data from the organization’s internal and external sources.

Data Lake 83

Data Lake Analytics Application Cloud Storage Architecture 83

Edureka

AUGUST 2, 2023

Organisations and businesses are flooded with enormous amounts of data in the digital era. Raw data, however, is frequently disorganised, unstructured, and challenging to work with directly. Data processing analysts can be useful in this situation.

Data Process 52

Data Process Process Data Cleanse Data Mining 52

Ascend.io

DECEMBER 14, 2022

Low in Visibility End-users won’t be able to access all the data in the final destination, only the data that was transformed and loaded. First, every transformation performed on the data pushes you further from the raw data and obscures some of the underlying information. This causes two issues.

Data Integration 52

Data Integration Raw Data Data Consolidation Data Warehouse 52

Meltano

OCTOBER 5, 2022

What Is Data Engineering? Data engineering is the process of designing systems for collecting, storing, and analyzing large volumes of data. Put simply, it is the process of making raw data usable and accessible to data scientists, business analysts, and other team members who rely on data.

Data Engineering 52

Data Engineering Data Engineer Engineering Raw Data 52

Monte Carlo

FEBRUARY 15, 2023

Cleaning Bad data can derail an entire company, and the foundation of bad data is unclean data. Therefore it’s of immense importance that the data that enters a data warehouse needs to be cleaned. Data can be loaded in batches or can be streamed in near real-time.

Data Warehouse 52

Data Warehouse Unstructured Data AWS Business Intelligence 52

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

Grouparoo

NOVEMBER 16, 2021

The difference here is that warehoused data is in its raw form, with the transformation only performed on-demand following information access. Another benefit is that this approach supports optimizing the data transforming processes all analytical processing evolves.

Data Mining 52

Data Mining Raw Data ETL Tools Data 52

Sync Computing

NOVEMBER 7, 2024

Despite these limitations, data warehouses, introduced in the late 1980s based on ideas developed even earlier, remain in widespread use today for certain business intelligence and data analysis applications. While data warehouses are still in use, they are limited in use-cases as they only support structured data.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Unstructured Data 52

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. Unstructured data sources.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 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