Dataconomy

JUNE 13, 2025

Cloud storage solutions are increasingly employed to manage large data volumes, providing the scalability necessary for modern enterprises. Role of data lakes and warehouses Data lakes and warehouses play a critical role in managing increased data volumes.

Data Lakes 91

Data Lakes Internet of Things Big Data Big Data 91

ODSC - Open Data Science

JUNE 22, 2023

However, even digital information has to be stored somewhere. While databases were the traditional way to store large amounts of data, a new storage method has developed that can store even more significant and varied amounts of data. These are called data lakes. What Are Data Lakes?

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Data Lakes Data Warehouse Data Science Database 98

Flipboard

MAY 20, 2025

Enterprisesespecially in the insurance industryface increasing challenges in processing vast amounts of unstructured data from diverse formats, including PDFs, spreadsheets, images, videos, and audio files. All contain critical information across the claims processing lifecycle.

Data Lakes 132

Data Lakes AWS Analytics Analytics 132

Dataversity

SEPTEMBER 20, 2024

However, the sheer volume, variety, and velocity of data can overwhelm traditional data management solutions. Enter the data lake – a centralized repository designed to store all types of data, whether structured, semi-structured, or unstructured.

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Data Lakes Data Warehouse 97

Dataversity

MARCH 21, 2022

While data lakes and data warehouses are both important Data Management tools, they serve very different purposes. If you’re trying to determine whether you need a data lake, a data warehouse, or possibly even both, you’ll want to understand the functionality of each tool and their differences.

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Data Lakes Data Warehouse Data Governance Data Quality 98

ODSC - Open Data Science

SEPTEMBER 27, 2023

In the ever-evolving world of big data, managing vast amounts of information efficiently has become a critical challenge for businesses across the globe. Understanding Data Lakes A data lake is a centralized repository that stores structured, semi-structured, and unstructured data in its raw format.

Data Lakes 98

Data Lakes Data Warehouse Database Big Data 98

Dataversity

OCTOBER 11, 2021

The post Data Lakes for Non-Techies appeared first on DATAVERSITY. Moreover, complex usability helped in developing a network of certified (aka expensive and lucrative) consultancy workforce. IT has recently experienced […].

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Data Lakes Data Warehouse Cloud Data Analytics 94

Dataconomy

JUNE 13, 2025

Data virtualization is transforming the way organizations access and manage their data. By allowing seamless integration of information from various sources without physical data movement, businesses can gain better insights and streamline their operations. What is data virtualization?

Data Visualization 91

Data Visualization Cloud Data Data Lakes Data Warehouse 91

Dataconomy

SEPTEMBER 23, 2024

However, simply acquiring all available data and storing it in data lakes does not guarantee success. The true meaning of data activation For the past few decades, organizations worldwide have collected all sorts of data and stored it in massive data lakes.

Data Lakes 103

Data Lakes Data Silos Analytics Analytics 103

Precisely

JANUARY 9, 2025

But the Internet and search engines becoming mainstream enabled never-before-seen access to unstructured content and not just structured data. Which turned into data lakes and data lakehouses Poor data quality turned Hadoop into a data swamp, and what sounds better than a data swamp? A data lake!

Data Warehouse 119

Data Warehouse Hadoop Data Lakes Data Governance 119

Dataversity

JUNE 18, 2021

In my recent blog series, I delved into one of 2021’s hottest data topics – data democratization – exploring how it can fit into a business’ overarching data strategy along with some practical advice on how to implement […]. The post Could the Data Mesh Solve Your Data Lake Scaling Issues?

Data Lakes 98

Data Lakes Data Warehouse 98

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. In this article, we’ll focus on a data lake vs. data warehouse.

Data Lakes 59

Data Lakes Data Warehouse Hadoop Big Data 59

Dataversity

JULY 22, 2024

According to a recent report, data breaches exposed a staggering 35 billion records in the first four months of 2024. To deal with this escalating crisis, a new solution […] The post The Rise of Cybersecurity Data Lakes: Shielding the Future of Data appeared first on DATAVERSITY.

Data Lakes 64

Data Lakes 64

Dataconomy

JUNE 1, 2023

Unified data storage : Fabric’s centralized data lake, Microsoft OneLake, eliminates data silos and provides a unified storage system, simplifying data access and retrieval. OneLake is designed to store a single copy of data in a unified location, leveraging the open-source Apache Parquet format.

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Power BI Data Lakes Azure Data Silos 194

Dataversity

MARCH 26, 2024

Writing data to an AWS data lake and retrieving it to populate an AWS RDS MS SQL database involves several AWS services and a sequence of steps for data transfer and transformation. This process leverages AWS S3 for the data lake storage, AWS Glue for ETL operations, and AWS Lambda for orchestration.

Data Lakes 64

Data Lakes AWS SQL ETL 64

AWS Machine Learning Blog

MAY 30, 2024

To serve their customers, Vitech maintains a repository of information that includes product documentation (user guides, standard operating procedures, runbooks), which is currently scattered across multiple internal platforms (for example, Confluence sites and SharePoint folders). langsmith==0.0.43 pgvector==0.2.3 streamlit==1.28.0

AI 132

AI AI AWS Database 132

Flipboard

MAY 14, 2025

In this post, we show you how Amazon Q Business can help augment your generative AI needs in all the abovementioned use cases and more by answering questions, providing summaries, generating content, and securely completing tasks based on data and information in your enterprise systems. Traditionally, businesses face a challenge.

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AWS AI AI Database 143

Pickl AI

NOVEMBER 15, 2023

Discover the nuanced dissimilarities between Data Lakes and Data Warehouses. Data management in the digital age has become a crucial aspect of businesses, and two prominent concepts in this realm are Data Lakes and Data Warehouses. It acts as a repository for storing all the data.

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Data Lakes Data Warehouse Database ETL 52

AWS Machine Learning Blog

AUGUST 8, 2024

Data is the foundational layer for all generative AI and ML applications. Managing and retrieving the right information can be complex, especially for data analysts working with large data lakes and complex SQL queries. The following diagram illustrates the solution architecture.

SQL 127

SQL Data Lakes Data Analyst AWS 127

phData

SEPTEMBER 19, 2023

With the amount of data companies are using growing to unprecedented levels, organizations are grappling with the challenge of efficiently managing and deriving insights from these vast volumes of structured and unstructured data. What is a Data Lake? Consistency of data throughout the data lake.

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Data Lakes Data Models Data Modeling Data Warehouse 52

ODSC - Open Data Science

JUNE 7, 2023

To make your data management processes easier, here’s a primer on data lakes, and our picks for a few data lake vendors worth considering. What is a data lake? First, a data lake is a centralized repository that allows users or an organization to store and analyze large volumes of data.

Data Lakes 52

Data Lakes Azure Data Warehouse Hadoop 52

Dataversity

APRIL 23, 2021

Within the Data Management industry, it’s becoming clear that the old model of rounding up massive amounts of data, dumping it into a data lake, and building an API to extract needed information isn’t working. Click to learn more about author Brian Platz.

Database 90

Database Data Lakes Data Silos Data Governance 90

Flipboard

APRIL 17, 2023

Enterprises often rely on data warehouses and data lakes to handle big data for various purposes, from business intelligence to data science. A new approach, called a data lakehouse, aims to … But these architectures have limitations and tradeoffs that make them less than ideal for modern teams.

Data Lakes 123

Data Lakes Data Warehouse Big Data Big Data 123

Data Science Dojo

SEPTEMBER 11, 2024

With this full-fledged solution, you don’t have to spend all your time and effort combining different services or duplicating data. Overview of One Lake Fabric features a lake-centric architecture, with a central repository known as OneLake.

Power BI 337

Power BI Data Pipeline Data Warehouse Data Engineering 337

Tableau

MARCH 30, 2021

we’ve added new connectors to help our customers access more data in Azure than ever before: an Azure SQL Database connector and an Azure Data Lake Storage Gen2 connector. As our customers increasingly adopt the cloud, we continue to make investments that ensure they can access their data anywhere. March 30, 2021.

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Azure Tableau Data Lakes SQL 102

Dataconomy

JUNE 3, 2025

A conformed dimension is a set of attributes that are shared across multiple fact tables within a data warehouse. This ensures that different business processes can utilize the same dimensional data, enabling a consistent understanding and analysis of information, regardless of the source.

ETL 91

ETL Data Warehouse Data Silos Data Lakes 91

AWS Machine Learning Blog

FEBRUARY 21, 2025

While these models are trained on vast amounts of generic data, they often lack the organization-specific context and up-to-date information needed for accurate responses in business settings. After ingesting the data, you create an agent with specific instructions: agent_instruction = """You are the Amazon Bedrock Agent.

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AWS Natural Language Processing Machine Learning Machine Learning 124

Dataconomy

FEBRUARY 26, 2025

Data mining has emerged as a vital tool in todays data-driven environment, enabling organizations to extract valuable insights from vast amounts of information. As businesses generate and collect more data than ever before, understanding how to uncover patterns and trends becomes essential for making informed decisions.

Data Mining 91

Data Mining Data Mining Data Mining Data Preparation 91

AWS Machine Learning Blog

NOVEMBER 14, 2024

When defining your tagging strategy, you need to determine the right tags that will gather all the necessary information in your environment. Avoid personally identifiable information (PII) when labeling resources because tags remain unencrypted and visible. This identifies teams or cost centers responsible for those resources.

ML 109

ML ML AWS Machine Learning 109

Dataconomy

DECEMBER 24, 2021

For decades, managing data essentially meant collecting, storing, and occasionally accessing it. That has all changed in recent years, as businesses look for the critical information that can be pulled from the massive amounts of data being generated, accessed, and stored in myriad locations, from corporate data centers to the cloud.

Analytics 242

Analytics Analytics Data Lakes Big Data 242

Flipboard

NOVEMBER 27, 2024

Customers want to search through all of the data and applications across their organization, and they want to see the provenance information for all of the documents retrieved. The application needs to search through the catalog and show the metadata information related to all of the data assets that are relevant to the search context.

AWS 149

AWS Database ML ML 149

Dataversity

OCTOBER 4, 2022

The rise of data lakes and adjacent patterns such as the data lakehouse has given data teams increased agility and the ability to leverage major amounts of data. Constantly evolving data privacy legislation and the impact of major cybersecurity breaches has led to the call for responsible data […].

Data Lakes 94

Data Lakes Data Governance Data Quality 94

AWS Machine Learning Blog

DECEMBER 3, 2024

Amazon Q Business is a generative AI-powered assistant that can answer questions, provide summaries, generate content, and securely complete tasks based on data and information in your enterprise systems. For more information, see Configure Amazon Q Business with AWS IAM Identity Center trusted identity propagation.

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AWS Database Data Silos Data Lakes 99

AWS Machine Learning Blog

DECEMBER 11, 2024

Heres a sampling of what some of our more active users had to say about their experience with Field Advisor: I use Field Advisor to review executive briefing documents, summarize meetings and outline actions, as well analyze dense information into key points with prompts. Field Advisor continues to enable me to work smarter, not harder.

AWS 106

AWS Database AI AI 106

Smart Data Collective

AUGUST 17, 2022

You can safely use an Apache Kafka cluster for seamless data movement from the on-premise hardware solution to the data lake using various cloud services like Amazon’s S3 and others. It will enable you to quickly transform and load the data results into Amazon S3 data lakes or JDBC data stores.

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Apache Kafka ETL Data Lakes AWS 130

AWS Machine Learning Blog

OCTOBER 20, 2023

Data and governance foundations – This function uses a data mesh architecture for setting up and operating the data lake, central feature store, and data governance foundations to enable fine-grained data access. This framework considers multiple personas and services to govern the ML lifecycle at scale.

ML 133

ML ML AWS Data Lakes 133

AWS Machine Learning Blog

APRIL 3, 2025

Data is one of the most critical assets of many organizations. Theyre constantly seeking ways to use their vast amounts of information to gain competitive advantages. Amazon AppFlow was used to facilitate the smooth and secure transfer of data from various sources into ODAP.

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AWS Data Governance Data Silos SQL 82