Monte Carlo

AUGUST 6, 2024

Data warehouses are the centralized repositories that store and manage data from various sources. They are integral to an organization’s data strategy, ensuring data accessibility, accuracy, and utility. However, beneath their surface lies a host of invisible risks embedded within the data warehouse layers.

Data Warehouse 52

Data Warehouse Raw Data BI Machine Learning 52

The Pragmatic Engineer

OCTOBER 17, 2024

The startup was able to start operations thanks to getting access to an EU grant called NGI Search grant. As always, I have not been paid to write about this company and have no affiliation with it – see more in my ethics statement. Funding and team size The company got started thanks to a €150K ($165K) EU grant.

Cloud 273

Cloud Metadata AWS Cloud Computing 273

The Pragmatic Engineer

JANUARY 12, 2023

In this week’s The Scoop, I analyzed this information and dissected it, going well beyond the raw data. Here are a few details from the data points, focusing on software engineering compensation. Employees had no idea what the value of a share unit was, as the company never shared this information.

Software Engineer 184

Software Engineer Software Engineering Engineering Raw Data 184

Snowflake

AUGUST 3, 2023

Whether you’re a consumer looking for the right energy, telecommunications, insurance, or financial solution, or a journalist investigating those markets, you need accurate and timely data. Verivox delivers up-to-date information to customers and businesses with Snowflake, and monetizes its data by listing it on Snowflake Marketplace.

Telecommunication 52

Telecommunication Insurance Raw Data Media 52

Precisely

DECEMBER 13, 2023

Digital marketing is ideally suited for precise targeting and rapid feedback, provided that business users have access to the detailed demographic and geospatial data they need. Demographic data enrichment goes much further than that because it enables you to develop a far more detailed understanding of your target audience.

Raw Data 96

Raw Data Entertainment Data Validation Education 96

Knowledge Hut

MARCH 7, 2024

Below are the 5 major Big Data challenges that enterprises face in 2024: 1. exabytes) of information is being generated every day. The previous two years have seen significantly more noteworthy increments in the quantity of streams, posts, searches and writings, which have cumulatively produced an enormous amount of data.

Big Data 98

Big Data Bytes Data Governance Raw Data 98

Knowledge Hut

JANUARY 29, 2024

In today's data-driven world, where information reigns supreme, businesses rely on data to guide their decisions and strategies. However, the sheer volume and complexity of raw data from various sources can often resemble a chaotic jigsaw puzzle.

Raw Data 52

Raw Data Data Mining Data Preparation Structured Data 52

Snowflake

JUNE 21, 2024

You can utilize Snowflake-managed Iceberg tables to be a full participant in your data lake and take advantage of features like automated table maintenance, Automatic Clustering , transformation with Snowpark and much more. Get better Iceberg ecosystem interoperability with Primary Key information added to Iceberg table metadata.

Data Lake 116

Data Lake BI Business Intelligence Metadata 116

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 86

Engineering Raw Data Data Science Machine Learning 86

Knowledge Hut

DECEMBER 7, 2023

Welcome to the comprehensive guide for beginners on harnessing the power of Microsoft's remarkable data visualization tool - Power BI. In today's data-driven world, the ability to transform raw data into meaningful insights is paramount, and Power BI empowers users to achieve just that. What is Power BI?

BI 52

BI Raw Data Datasets Business Intelligence 52

Ascend.io

OCTOBER 28, 2024

What is Data Transformation? Data transformation is the process of converting raw data into a usable format to generate insights. It involves cleaning, normalizing, validating, and enriching data, ensuring that it is consistent and ready for analysis.

Raw Data 52

Raw Data Datasets Aggregated Data Data Pipeline 52

Striim

SEPTEMBER 11, 2024

Most importantly, these pipelines enable your team to transform data into actionable insights, demonstrating tangible business value. With data volumes and sources rapidly increasing, optimizing how you collect, transform, and extract data is more crucial to stay competitive.

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Knowledge Hut

APRIL 26, 2024

Datasets are the repository of information that is required to solve a particular type of problem. Also called data storage areas , they help users to understand the essential insights about the information they represent. In the real world, data sets are huge. Data is not available in a specific format.

Machine Learning 98

Machine Learning Datasets Deep Learning Finance 98

Knowledge Hut

JANUARY 19, 2024

For example, all these data sets have information about the consumers' age, gender, and preferences associated with the business. Similarly, the stored data have details about the services or products that are top selling and those not attracting customers. What is Business Intelligence?

Business Intelligence 52

Business Intelligence BI Raw Data Data Warehouse 52

Knowledge Hut

MAY 1, 2024

Data is everywhere, and we have all seen exponential growth in the data that is generated daily. I nformation must be extracted from this data to make sense of it, and we must gain insights from th is information that will help us to understand repeating patterns.

Algorithm 98

Algorithm Raw Data Data Science Computer Science 98

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. In today’s fast-paced business environment, data-driven insights are the lifeblood of staying ahead.

Raw Data 75

Raw Data Utilities Government Data 75

Monte Carlo

JULY 25, 2023

Data curation is the process of transforming and enriching larger amounts of raw data into smaller, more widely accessible subsets of data that provide additional value to the organization or the intended use case. In This Article: What is data curation? Medallion architecture.

Raw Data 52

Raw Data Data Warehouse Data Architecture 52

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

Ascend.io

JULY 11, 2024

Metadata is the information that provides context and meaning to data, ensuring it’s easily discoverable, organized, and actionable. It enhances data quality, governance, and automation, transforming raw data into valuable insights. This is what managing data without metadata feels like. Chaos, right?

Metadata 52

Metadata IT Government High Quality Data 52

Databand.ai

JULY 6, 2023

Data pipelines are a series of data processing steps that enable the flow and transformation of raw data into valuable insights for businesses. Automating the processes of data engineering can ensure dependable and effective delivery of high-quality information to support decision making.

Data Pipeline 52

Data Pipeline Data Science Raw Data Media 52

Towards Data Science

NOVEMBER 16, 2023

Extract and Load This phase includes VDK jobs calling the Europeana REST API to extract raw data. This example requires an active Internet connection to work correctly to access the Europeana REST API. This operation is a batch process because it downloads data only once and does not require streamlining.

Data Process 73

Data Process Process Raw Data Data 73

U-Next

FEBRUARY 26, 2023

Aside from this asset, some of the advantages are as follows: Increased flexibility: As more people work online, HR departments and workers are searching for ways to monitor data from a distance. An HR analytics dashboard allows for real-time HR-to-employee communication and access to critical information.

BI 97

BI Recruitment Raw Data Utilities 97

Knowledge Hut

APRIL 25, 2024

Communication strategies are evolving, and in today's technologically advanced world, success is strongly correlated with the volume rather than the quality of one's information — metrics about the business, the client, the rival, and the market. The IT departments no longer have exclusive access to information.

Business Intelligence 52

Business Intelligence BI Raw Data Data Lake 52

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 59

Data Lake Data Warehouse Hadoop Raw Data 59

Knowledge Hut

DECEMBER 26, 2023

The company does not need to invest in any additional hardware or equipment or purchase physical data centers for storage and management. This makes the judicious and informed use of Cloud Computing Tools really important. Informatica Informatica is a leading industry tool used for extracting, transforming, and cleaning up raw data.

Cloud Computing 98

Cloud Computing Cloud Amazon Web Services AWS 98

The Modern Data Company

APRIL 15, 2024

Unlocking Business Value with Data Product Strategy Adopting a Data Product Strategy isn’t just about upgrading your technology; it’s about elevating your entire organization to operate in a more informed, agile, and strategic manner. For Business Stakeholders (CMO, CFO, etc.):

Raw Data 52

Raw Data Government Data 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. The Data Warehouse(s) facilitates data ingestion and enables easy access for end-users.

Data Lake 52

Data Lake Building Raw Data ETL Tools 52

Edureka

JUNE 13, 2024

The screenshot below outlines that information querying for this column was folded. Steps to Enable Folding Power BI Query Folding in Power BI example : Connect Power BI to a data source: To execute a Query Folding in Power BI , one must have a linked data source compatible with the Query Folding feature of Power BI.

BI 81

BI Raw Data SQL Database 81

Ascend.io

SEPTEMBER 16, 2024

Incorporate Feedback Loops Data flows are the unsung heroes of the digital age, overseeing the seamless movement of information across systems and platforms. But what are data flows? They are the lifeblood of any data-driven organization, enabling analytics and informed decision-making.

Designing 52

Designing Cloud Computing Data Pipeline Raw Data 52

U-Next

MARCH 7, 2023

Most Data Analysts do not require a deep understanding of complex mathematics, even though they should have a foundational knowledge of statistics and mathematics. Statistics, linear algebra, and calculus are generally required for Data Analysts. Why is MS Access important in Data Analytics? What is data extraction?

Data Mining 96

Data Mining Scala Government Data Governance 96

Snowflake

NOVEMBER 11, 2024

However, scaling LLM data processing to millions of records can pose data transfer and orchestration challenges, easily addressed by the user-friendly SQL functions in Snowflake Cortex. With new generative AI capabilities, developers can now process multimodal data, using the most relevant information in their applications.

Unstructured Data 52

Unstructured Data SQL AWS Healthcare 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 Raw Data 52

Knowledge Hut

JANUARY 12, 2024

The information technology industry is ever-changing and constantly evolving. Data centers and warehouses typically operate cloud computing systems of databases and software. Rather than having physical servers in a network closet in a back office, users and businesses can access digital information over the internet from anywhere.

Cloud Computing 98

Cloud Computing Cloud Computer Science Programming Language 98

Precisely

SEPTEMBER 19, 2024

Badulescu cites two examples: Quality rule recommendations: AI systems can analyze existing data to understand data ranges, anomalies, relationships, and more. Then, this information can be used to suggest new quality rules that will help prevent data issues proactively.

Data Governance 78

Data Governance Government High Quality Data Datasets 78

Grouparoo

AUGUST 3, 2021

The mission of many data teams is a very simple one. They seek to use data to help the business take smarter actions. The input is raw data from everywhere that touches the business. These are the steps: Extract : Connect to the sources and read the valuable data. Files: Many types of other data exist.

Raw Data 52

Raw Data Data Warehouse SQL Coding 52

Data Engineering Podcast

DECEMBER 11, 2021

Unfortunately many sites and applications take that to the extreme and collect too much information. In order to make it easier for developers to build customer profiles in a way that respects their privacy Serge Huber helped to create the Apache Unomi framework as an open source customer data platform.

Data Warehouse 100

Data Warehouse Raw Data Data Lake BI 100

Ascend.io

JULY 23, 2024

AI Implementation Framework #1- Levels of Access The first framework focuses on defining levels of access for AI and automation tools. Organizations must determine the extent of access to data and code they are willing to grant these systems.

Data Engineer 52

Data Engineer Data Engineering Engineering Metadata 52