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.

Data Lakes 97

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.

Data Lakes 98

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 […].

Data Lakes 94

Data Lakes Data Warehouse Cloud Data Analytics 94

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 Governance Data Lakes 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 Warehouse 59

Data Warehouse Data Lakes 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.

Power BI 194

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 121

AI AI AWS Database 121

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.

Data Lakes 52

Data Lakes Data Warehouse Database ETL 52

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.

Data Lakes 52

Data Lakes Data Modeling Data Models 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

phData

APRIL 4, 2023

Fivetran today announced support for Amazon Simple Storage Service (Amazon S3) with Apache Iceberg data lake format. Amazon S3 is an object storage service from Amazon Web Services (AWS) that offers industry-leading scalability, data availability, security, and performance.

Data Lakes 52

Data Lakes Data Warehouse Cloud Data AWS 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 113

SQL Data Lakes Data Analyst AWS 113

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

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

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.

Azure 102

Azure Tableau Data Lakes SQL 102

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 306

Power BI Data Pipeline Data Warehouse Data Engineering 306

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

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

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.

AWS 109

AWS Natural Language Processing Machine Learning Machine Learning 109

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.

Apache Kafka 130

Apache Kafka ETL Data Lakes AWS 130

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.

AWS 72

AWS Data Governance Data Silos SQL 72

Data Science Connect

JULY 28, 2023

The Crucial Role of Data Engineering in IoT As the IoT ecosystem continues to expand with an influx of connected devices generating massive volumes of data, data engineering becomes a critical component in realizing IoT’s true potential. Data Cleaning and Preprocessing IoT data can be noisy, incomplete, and inconsistent.

Internet of Things 130

Internet of Things Data Engineering Data Engineering Data Engineer 130

phData

NOVEMBER 9, 2023

The main goal of a data mesh structure is to drive: Domain-driven ownership Data as a product Self-service infrastructure Federated governance One of the primary challenges that organizations face is data governance. 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

ODSC - Open Data Science

AUGUST 31, 2023

When choosing a data structure, it may benefit you to see which has all the components of the CAP theorem and which best suits your needs. Drowning in Data? A Data Lake May Be Your Lifesaver Read this Q&A with HPCC Systems on how data lakes let you spend less time managing data and more time analyzing it.

Clustering 98

Clustering Data Lakes Data Science Artificial Intelligence 98

Smart Data Collective

OCTOBER 17, 2022

Pipeline, as it sounds, consists of several activities and tools that are used to move data from one system to another using the same method of data processing and storage. Data pipelines automatically fetch information from various disparate sources for further consolidation and transformation into high-performing data storage.

Data Pipeline 145

Data Pipeline Data Warehouse ETL Exploratory Data Analysis 145

AWS Machine Learning Blog

MARCH 1, 2023

It helps you extract information by recognizing sentiments, key phrases, entities, and much more, allowing you to take advantage of state-of-the-art models and adapt them for your specific use case. This feature also allows you to automate model retraining after new datasets are ingested and available in the flywheel´s data lake.

Data Lakes 93

Data Lakes AWS ML ML 93

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 120

ML ML AWS Data Lakes 120

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 90

AWS Database AI AI 90

Dataconomy

MARCH 4, 2025

This article delves into the essential components of data mining, highlighting its processes, techniques, tools, and applications. What is data mining? Data mining refers to the systematic process of analyzing large datasets to uncover hidden patterns and relationships that inform and address business challenges.

Data Mining 91

Data Mining Data Mining Data Mining Decision Trees 91

Data Science Dojo

SEPTEMBER 10, 2024

These AI models are trained on massive datasets of text and code, enabling them to generate human-quality text, translate languages, write different kinds of creative content, and answer your questions in an informative way. The market today consists of top LLM companies that make these versatile models accessible to businesses.

Machine Learning 369

Machine Learning Machine Learning Natural Language Processing ML 369

DagsHub

DECEMBER 11, 2023

Data auditing and compliance Almost each company face data protection regulations such as GDPR, forcing them to store certain information in order to demonstrate compliance and history of data sources. In this scenario, data versioning can help companies in both internal and external audits process.

Machine Learning 98

Machine Learning Machine Learning Data Lakes Database 98

Dataconomy

FEBRUARY 25, 2025

Velocity Velocity describes the speed at which data is generated and processed. Big data systems often require real-time or near-real-time analysis to keep pace with the influx of new information.

Big Data 91

Big Data Big Data Data Lakes Machine Learning 91