The Modern Data Company

FEBRUARY 2, 2024

Ever wondered why building data-driven applications feels like an uphill battle? It’s not just you – turning raw data into something meaningful can be a real challenge. It serves as the cornerstone for generating transformative data products at unparalleled speed and cost-efficiency.

Raw Data 75

Raw Data Utilities Government Data 75

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

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. Precisely helps enterprises manage the integrity of their data.

Data Lake 59

Data Lake Data Warehouse Hadoop Raw Data 59

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

Knowledge Hut

APRIL 25, 2024

As businesses increasingly rely on intangible assets to create value, an efficient data management strategy is more important than ever. Data Integration Data integration is the process of combining information from several sources to give people a cohesive perspective.

Big Data 52

Big Data Data Analytics Manufacturing Retail 52

Databand.ai

AUGUST 30, 2023

Unified DataOps represents a fresh approach to managing and synchronizing data operations across several domains, including data engineering, data science, DevOps, and analytics. The goal of this strategy is to streamline the entire process of extracting insights from raw data by removing silos between teams and technologies.

Data Governance 40

Data Governance Data Cleanse Government Data Pipeline 40

The Modern Data Company

APRIL 15, 2024

Strategic Advantages: Data Strategy Aligned with Business Goals: Ensure that your tech strategies directly support business objectives, with data to back up budget and strategic decisions. Value from Data: Turn overwhelming data and isolated silos into a streamlined, valuable asset.

Raw Data 52

Raw Data Government Data Datasets 52

Databand.ai

AUGUST 30, 2023

Data silos: Legacy architectures often result in data being stored and processed in siloed environments, which can limit collaboration and hinder the ability to generate comprehensive insights. This requires implementing robust data integration tools and practices, such as data validation, data cleansing, and metadata management.

Architecture 52

Architecture Data Ingestion Data Governance Data Cleanse 52

AltexSoft

MARCH 14, 2023

It must collect, analyze, and leverage large amounts of customer data from various sources, including booking history from a CRM system, search queries tracked with Google Analytics, and social media interactions. Okay, data lives everywhere, and that’s the problem the second component solves.

IT 59

IT Data Warehouse Data Governance Data Lake 59

Monte Carlo

OCTOBER 5, 2023

Enter the world of data clean rooms – the super secure havens where you can mix and mingle data from different sources to get insights without getting your hands dirty with the raw data. How data clean rooms work Data clean rooms combine and analyze different data sources without directly accessing the raw data.

Raw Data 52

Raw Data Medical Manufacturing AWS 52

Databand.ai

JULY 19, 2023

The extracted data is often raw and unstructured and may come in various formats such as text, images, audio, or video. The extraction process requires careful planning to ensure data integrity. It’s crucial to understand the source systems and their structure, as well as the type and quality of data they produce.

Data Cleanse 52

Data Cleanse Raw Data Data Storage Data Warehouse 52

Databand.ai

AUGUST 30, 2023

Data testing tools are software applications designed to assist data engineers and other professionals in validating, analyzing, and maintaining data quality. There are several types of data testing tools. This is part of a series of articles about data quality.

Data Cleanse 52

Data Cleanse Data Validation Data Pipeline Datasets 52

DareData

JULY 5, 2023

If you work at a relatively large company, you've seen this cycle happening many times: Analytics team wants to use unstructured data on their models or analysis. For example, an industrial analytics team wants to use the logs from raw data.

Data Lake 52

Data Lake Building Raw Data ETL Tools 52

The Modern Data Company

MARCH 1, 2024

Cost Optimization: Pay only for the data and resources you use, eliminating unnecessary storage and compute costs associated with large data lakes. Improved Governance and Security: Granular access controls and role-based permissions within Data Products enhance data governance and security.

Database-centric 40

Database-centric Data Lake Government Retail 40

Knowledge Hut

OCTOBER 4, 2023

While the numbers are impressive (and a little intimidating), what would we do with the raw data without context? The tool will sort and aggregate these raw data and transport them into actionable, intelligent insights. This is made possible by automated data extraction from servers, computers, and clouds.

BI 52

BI Systems Raw Data Business Intelligence 52

The Modern Data Company

MAY 10, 2023

Integration with existing systems: Ensure the solution can integrate seamlessly with your existing tools, applications, and infrastructure. Data governance and security: Evaluate the native security, data governance, and data quality management features. Needs to maintain data consistency and quality.

Data Management 52

Data Management Data Lake Management Data Warehouse 52

Knowledge Hut

JANUARY 30, 2024

In today's world, where data rules the roost, data extraction is the key to unlocking its hidden treasures. As someone deeply immersed in the world of data science, I know that raw data is the lifeblood of innovation, decision-making, and business progress. What is data extraction?

ETL Tools 52

ETL Tools Database-centric Data Mining Data Cleanse 52

Knowledge Hut

OCTOBER 30, 2023

This data and reports are generated and developed by Power BI developers. A Power BI developer is a business intelligence personnel who thoroughly understands business intelligence, data integration, data warehousing, modeling, database administration, and technical aspects of BI systems. Who is a Power BI Developer?

BI 52

BI Business Intelligence Data Cleanse Business Analyst 52

The Modern Data Company

MAY 10, 2023

Integration with existing systems: Ensure the solution can integrate seamlessly with your existing tools, applications, and infrastructure. Data governance and security: Evaluate the native security, data governance, and data quality management features. Needs to maintain data consistency and quality.

Data Management 52

Data Management Management Data Lake Data Warehouse 52

The Modern Data Company

MAY 10, 2023

Integration with existing systems: Ensure the solution can integrate seamlessly with your existing tools, applications, and infrastructure. Data governance and security: Evaluate the native security, data governance, and data quality management features. Needs to maintain data consistency and quality.

Data Management 52

Data Management Management Data Lake Data Warehouse 52

AltexSoft

JUNE 26, 2023

Read our article on Hotel Data Management to have a full picture of what information can be collected to boost revenue and customer satisfaction in hospitality. While all three are about data acquisition, they have distinct differences. Data integration , on the other hand, happens later in the data management flow.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

Databand.ai

AUGUST 30, 2023

Data testing tools: Key capabilities you should know Helen Soloveichik August 30, 2023 Data testing tools are software applications designed to assist data engineers and other professionals in validating, analyzing and maintaining data quality. There are several types of data testing tools.

Data Cleanse 52

Data Cleanse Data Pipeline Datasets Data Validation 52

Monte Carlo

MAY 31, 2023

In a data-driven world, data integrity is the law of the land. And if data integrity is the law, then a data quality integrity framework is the FBI, the FDA, and the IRS all rolled into one. Because if we can’t trust our data, we also can’t trust the products they’re creating.

Building 52

Building Data Validation Healthcare Data Integration 52

The Modern Data Company

APRIL 15, 2024

Transforming Data Complexity into Strategic Insight At first glance, the process of transforming raw data into actionable insights can seem daunting. The journey from data collection to insight generation often feels like operating a complex machine shrouded in mystery and uncertainty.

Building 52

Building Raw Data Food Data 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.

AWS 52

AWS Data Management ETL Tools Management 52

Monte Carlo

NOVEMBER 14, 2023

Without a central query log, your team can run the risk of data loss and lack of data governance. Limited data type support. Apache Iceberg supports several data types, including text, integers, and floats. As with any table format, Apache Iceberg tables are only as useful and reliable as the data stored in them.

Data Lake 64

Data Lake Metadata Data Warehouse SQL 64

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. Integrate.io

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

Monte Carlo

AUGUST 25, 2023

All these scalability and performance factors will inform your choice of data warehouse, lake, or lakehouse. Structure and schema Traditionally, data lakes excel at storing vast amounts of raw data — be it structured, semi-structured, or unstructured, without any specific constraints.

Data Lake 52

Data Lake Data Warehouse Unstructured Data Raw Data 52

AltexSoft

SEPTEMBER 23, 2021

A data hub is a central mediation point between various data sources and data consumers. It’s not a single technology, but rather an architectural approach that unites storages, data integration and orchestration tools. An ETL approach in the DW is considered slow, as it ships data in portions (batches.)

Architecture 52

Architecture Data Lake Unstructured Data Data Warehouse 52

DataKitchen

DECEMBER 9, 2022

DataOps involves collaboration between data engineers, data scientists, and IT operations teams to create a more efficient and effective data pipeline, from the collection of raw data to the delivery of insights and results.

Machine Learning 52

Machine Learning Data Preparation Government Data Analytics 52

DataKitchen

OCTOBER 2, 2023

Whether the Data Ingestion Team struggles with fragmented database ownership and volatile data environments or the End-to-End Data Product Team grapples with real-time data observability issues, the article provides actionable recommendations. ’ What’s a Data Journey?

Data Ingestion 40

Data Ingestion Data Government Datasets 40

AltexSoft

NOVEMBER 10, 2021

The DW nature isn’t the best fit for complex data processing such as machine learning as warehouses normally store task-specific data, while machine learning and data science tasks thrive on the availability of all collected data. Another type of data storage — a data lake — tried to address these and other issues.

Architecture 52

Architecture Data Lake Data Warehouse Metadata 52

Grouparoo

NOVEMBER 29, 2021

The structure of databases tends to depend on each vendor's proprietary implementation, though for data processing, the database's internal structure typically has a limited impact on processing functions. Data contained within a file is available by accessing the shared file stored in a repository or other accessible location.

Raw Data 40

Raw Data Big Data Relational Database Data Warehouse 40

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. Data Warehousing - ETL tools and processes can be leveraged to load data into a data warehouse for reporting and analysis.

BI 52

BI ETL Tools Retail Healthcare 52

Ascend.io

JULY 28, 2023

It refers to the combination and integration of these technologies to gather, process, and analyze data, and the infrastructure used to power, store, and secure your data. Ingestion: Your data pipeline architecture should anticipate a wide variety of raw data sources to be incorporated into the pipeline.

Data Pipeline 52

Data Pipeline Architecture Lambda Architecture Data Architecture 52