Dataconomy

JUNE 3, 2025

The primary purpose of conformed dimensions is to provide clarity and uniformity, which are essential for effective reporting and analytics. Definition of conformed dimension In data warehousing, conformed dimensions represent standardized dimensions that different fact tables can reference.

ETL 91

ETL Data Warehouse Data Silos Data Lakes 91

Dataconomy

MARCH 4, 2025

Data mining refers to the systematic process of analyzing large datasets to uncover hidden patterns and relationships that inform and address business challenges. It’s an integral part of data analytics and plays a crucial role in data science. Each stage is crucial for deriving meaningful insights from data.

Data Mining 91

Data Mining Data Mining Data Mining Decision Trees 91

Alation

FEBRUARY 20, 2020

Architecturally the introduction of Hadoop, a file system designed to store massive amounts of data, radically affected the cost model of data. Organizationally the innovation of self-service analytics, pioneered by Tableau and Qlik, fundamentally transformed the user model for data analysis. Disruptive Trend #1: Hadoop.

Data Lakes 52

Data Lakes Hadoop Tableau Big Data 52

phData

NOVEMBER 9, 2023

A data warehouse is a centralized and structured storage system that enables organizations to efficiently store, manage, and analyze large volumes of data for business intelligence and reporting purposes. What is a Data Lake? What is the Difference Between a Data Lake and a Data Warehouse?

Data Warehouse 98

Data Warehouse Data Lakes Clustering Cloud Data 98

Flipboard

NOVEMBER 17, 2023

The vector field should be represented as an array of numbers (BSON int32, int64, or double data types only). Query the vector data store You can query the vector data store using the Vector Search aggregation pipeline. It uses the Vector Search index and performs a semantic search on the vector data store.

K-nearest Neighbors 170

K-nearest Neighbors AWS Clustering Database 170

IBM Journey to AI blog

OCTOBER 4, 2023

Another IDC study showed that while 2/3 of respondents reported using AI-driven data analytics, most reported that less than half of the data under management is available for this type of analytics. from 2022 to 2026. New insights and relationships are found in this combination.

Data Lakes 95

Data Lakes Data Warehouse AI AI 95

The MLOps Blog

MARCH 21, 2023

Other users Some other users you may encounter include: Data engineers , if the data platform is not particularly separate from the ML platform. Analytics engineers and data analysts , if you need to integrate third-party business intelligence tools and the data platform, is not separate. AIIA MLOps blueprints.

Machine Learning 69

Machine Learning Machine Learning Data Scientist ML 69

Tableau

APRIL 18, 2022

Instead of centralizing data stores, data fabrics establish a federated environment and use artificial intelligence and metadata automation to intelligently secure data management. . At Tableau, we believe that the best decisions are made when everyone is empowered to put data at the center of every conversation.

Tableau 102

Tableau Data Quality Analytics Analytics 102

Alation

JANUARY 13, 2022

Thoughtworks says data mesh is key to moving beyond a monolithic data lake. Spoiler alert: data fabric and data mesh are independent design concepts that are, in fact, quite complementary. Thoughtworks says data mesh is key to moving beyond a monolithic data lake 2. Gartner on Data Fabric.

Data Lakes 59

Data Lakes Data Governance Data Quality Data Warehouse 59

Tableau

APRIL 18, 2022

Instead of centralizing data stores, data fabrics establish a federated environment and use artificial intelligence and metadata automation to intelligently secure data management. . At Tableau, we believe that the best decisions are made when everyone is empowered to put data at the center of every conversation.

Tableau 98

Tableau Data Quality Analytics Analytics 98

AWS Machine Learning Blog

AUGUST 21, 2023

You can streamline the process of feature engineering and data preparation with SageMaker Data Wrangler and finish each stage of the data preparation workflow (including data selection, purification, exploration, visualization, and processing at scale) within a single visual interface.

AWS 98

AWS Data Lakes Clustering Data Preparation 98

Alation

MARCH 21, 2023

Today, modern travel and tourism thrive on data. For example, airlines have historically applied analytics to revenue management, while successful hospitality leaders make data-driven decisions around property allocation and workforce management. What is big data in the travel and tourism industry?

Analytics 52

Analytics Analytics Data Silos Big Data 52

Flipboard

AUGUST 17, 2023

Amazon Redshift uses SQL to analyze structured and semi-structured data across data warehouses, operational databases, and data lakes, using AWS-designed hardware and ML to deliver the best price-performance at any scale. If you want to do the process in a low-code/no-code way, you can follow option C.

ML 123

ML ML AWS Data Warehouse 123

ODSC - Open Data Science

FEBRUARY 2, 2023

To get a better grip on those changes we reviewed over 25,000 data scientist job descriptions from that past year to find out what employers are looking for in 2023. Much of what we found was to be expected, though there were definitely a few surprises. You’ll see specific tools in the next section.

Data Science 98

Data Science Data Scientist Computer Science Computer Science 98

IBM Journey to AI blog

JANUARY 18, 2023

In another decade, the internet and mobile started the generate data of unforeseen volume, variety and velocity. It required a different data platform solution. Hence, Data Lake emerged, which handles unstructured and structured data with huge volume. Analytical and transactional worlds come together.

Data Lakes 52

Data Lakes Data Warehouse Azure Apache Hadoop 52

AWS Machine Learning Blog

SEPTEMBER 1, 2023

These teams are as follows: Advanced analytics team (data lake and data mesh) – Data engineers are responsible for preparing and ingesting data from multiple sources, building ETL (extract, transform, and load) pipelines to curate and catalog the data, and prepare the necessary historical data for the ML use cases.

AI 129

AI AI ML ML 129

Alation

NOVEMBER 18, 2021

External Tables Create a Shared View of the Data Lake. We’ve seen external tables become popular with our customers, who use them to provide a normalized relational schema on top of their data lake. Essentially, external tables create a shared view of the data lake, a single pane of glass everyone can reference.

Data Lakes 52

Data Lakes Data Governance SQL AWS 52

Alation

FEBRUARY 13, 2020

A Data Catalog is a collection of metadata, combined with data management and search tools, that helps analysts and other data users to find the data that they need, serves as an inventory of available data, and provides information to evaluate fitness data for intended uses. Conclusion.

Data Lakes 64

Data Lakes Data Analysis Data Analysis Big Data 64

phData

NOVEMBER 1, 2024

Quotes Data governance is going to play a large role in what data can go into an LLM. VP of Analytics, Finance Industry It will be increasingly important for organizations to understand how LLMs are trained -- whether on the company's own data or paired with others. No problem!

Data Governance 52

Data Governance Data Quality ML ML 52

How to Learn Machine Learning

MAY 2, 2025

Azure ML supports various approaches to model creation: Automated ML : For beginners or those seeking quick results, Automated ML can generate optimized models based on your dataset and problem definition. Simply prepare your data, define your target variable, and let AutoML explore various algorithms and hyperparameters.

Azure 52

Azure Machine Learning Machine Learning Data Science 52

phData

JUNE 11, 2025

Between faster queries, better cost efficiency, and streamlined data management, there’s a lot to gain from a cost and performance perspective by optimizing your Snowflake account. Storage Costs Our first tip involves taking a closer look at managing how your data is stored, organized, and accessed.

Clustering 59

Clustering SQL Database Data Lakes 59

AWS Machine Learning Blog

JUNE 13, 2023

The combination of large language models (LLMs), including the ease of integration that Amazon Bedrock offers, and a scalable, domain-oriented data infrastructure positions this as an intelligent method of tapping into the abundant information held in various analytics databases and data lakes.

Database 102

Database SQL AWS AI 102

Alation

JUNE 14, 2021

Dan Kirsch, Analyst, Hurwitz Associates, agrees that CISOs must take responsibility, when he says that “data protection is absolutely part of the CISO’s job. For this reason, smart CISOs are making sure that analytics and AI teams have data security in mind and are using secure data platforms.

Data Governance 97

Data Governance Data Lakes Data Classification Data Quality 97

Alation

AUGUST 11, 2022

The data warehouse and analytical data stores moved to the cloud and disaggregated into the data mesh. Today, the brightest minds in our industry are targeting the massive proliferation of data volumes and the accompanying but hard-to-find value locked within all that data. This led me to Sanjeev Mohan.

Data Warehouse 52

Data Warehouse Data Engineer Data Engineering Data Engineering 52

Alation

JANUARY 10, 2023

The value of a data catalog means something different to each of these companies — meaning they will each expect something different out of its implementation. In fact, they likely have different definitions of what a data catalog even is. How do you define a data catalog? How do you derive value from a data catalog?

Data Lakes 52

Data Lakes Data Analyst Analytics Analytics 52

Alation

FEBRUARY 17, 2023

Reichental describes data governance as the overarching layer that empowers people to manage data well ; as such, it is focused on roles & responsibilities, policies, definitions, metrics, and the lifecycle of the data. In this way, data governance is the business or process side.

Data Governance 52

Data Governance Data Quality Data Analyst Data Pipeline 52

DagsHub

OCTOBER 23, 2024

Here are some challenges you might face while managing unstructured data: Storage consumption: Unstructured data can consume a large volume of storage. For instance, if you are working with several high-definition videos, storing them would take a lot of storage space, which could be costly.

Machine Learning 52

Machine Learning Machine Learning Data Lakes AI 52

AWS Machine Learning Blog

JUNE 22, 2023

In LnW Connect, an encryption process was designed to provide a secure and reliable mechanism for the data to be brought into an AWS data lake for predictive modeling. About the authors Aruna Abeyakoon is the Senior Director of Data Science & Analytics at Light & Wonder Land-based Gaming Division.

AWS 114

AWS ML ML Machine Learning 114

Pickl AI

JUNE 11, 2024

Understanding Data Warehouse Functionality A data warehouse acts as a central repository for historical data extracted from various operational systems within an organization. This allows businesses to analyze trends, identify patterns, and make informed decisions based on historical data.

Data Warehouse 52

Data Warehouse ETL Data Mining Data Mining 52

ODSC - Open Data Science

NOVEMBER 18, 2024

You’ll start by demystifying what vector databases are, with clear definitions, simple explanations, and real-world examples of popular vector databases. You will also gain a practical understanding of how vector databases work, including the processes involved in storing, retrieving, and managing data in high-dimensional vector spaces.

Deep Learning 40

Deep Learning Deep Learning Database Data Science 40

IBM Journey to AI blog

JULY 1, 2024

The first two use cases are primarily aimed at a technical audience, as the lineage definitions apply to actual physical assets. Data is touched and manipulated by a myriad of solutions, including on-premises and cloud transformation tools, databases and data lake houses.

ETL 40

ETL Data Lakes Database Data Pipeline 40

Alation

APRIL 14, 2022

Data discovery is also critical for data governance , which, when ineffective, can actually hinder organizational growth. And, as organizations progress and grow, “data drift” starts to impact data usage, models, and your business. 8 Critical Analytics Tools for Cloud Environments. Predictive Transformation.

Data Governance 59

Data Governance ML ML Cloud Data 59

Pickl AI

JULY 8, 2024

These pipelines automate collecting, transforming, and delivering data, crucial for informed decision-making and operational efficiency across industries. This structured approach ensures that data moves efficiently through each stage, undergoing necessary modifications to become usable for analytics or other applications.

Data Pipeline 52

Data Pipeline Data Quality Database Apache Kafka 52

ODSC - Open Data Science

JUNE 12, 2023

The Datamarts capability opens endless possibilities for organizations to achieve their data analytics goals on the Power BI platform. A quick search on the Internet provides multiple definitions by technology-leading companies such as IBM, Amazon, and Oracle. What is a Datamart?

Power BI 52

Power BI Data Warehouse ETL Data Preparation 52

Alation

APRIL 18, 2023

For any data user in an enterprise today, data profiling is a key tool for resolving data quality issues and building new data solutions. In this blog, we’ll cover the definition of data profiling, top use cases, and share important techniques and best practices for data profiling today.

Data Profiling 52

Data Profiling Data Quality Data Governance Data Pipeline 52

AWS Machine Learning Blog

AUGUST 26, 2024

You can integrate existing data from AWS data lakes, Amazon Simple Storage Service (Amazon S3) buckets, or Amazon Relational Database Service (Amazon RDS) instances with services such as Amazon Bedrock and Amazon Q. Role context – Start each prompt with a clear role definition.

AWS 131

AWS AI AI K-nearest Neighbors 131

phData

MAY 6, 2024

Whether you’re building a team for master data management (MDM), implementing a composable customer data platform (CDP), or just having challenges identifying the unique customers for your analytical use cases—understanding the fundamentals of identity resolution will guide you in making the best decision possible for your organization.

Data Lakes 52

Data Lakes Data Warehouse Data Quality Cloud Data 52