Analytics Vidhya

FEBRUARY 25, 2023

Introduction A data lake is a centralized and scalable repository storing structured and unstructured data. The need for a data lake arises from the growing volume, variety, and velocity of data companies need to manage and analyze.

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Data Lakes Analytics Analytics Data Warehouse 178

Smart Data Collective

AUGUST 28, 2021

Data lakes and data warehouses are probably the two most widely used structures for storing data. Data Warehouses and Data Lakes in a Nutshell. A data warehouse is used as a central storage space for large amounts of structured data coming from various sources. Data Type and Processing.

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Data Lakes Data Warehouse ETL Data Scientist 140

Flipboard

NOVEMBER 22, 2024

This post is part of an ongoing series about governing the machine learning (ML) lifecycle at scale. This post dives deep into how to set up data governance at scale using Amazon DataZone for the data mesh. Data governance account – This account hosts the central data governance services provided by Amazon DataZone.

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KDnuggets

DECEMBER 14, 2021

We have solicited insights from experts at industry-leading companies, asking: "What were the main AI, Data Science, Machine Learning Developments in 2021 and what key trends do you expect in 2022?" Read their opinions here.

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Data Science Machine Learning Machine Learning Analytics 399

DagsHub

DECEMBER 11, 2023

The following points illustrates some of the main reasons why data versioning is crucial to the success of any data science and machine learning project: Storage space One of the reasons of versioning data is to be able to keep track of multiple versions of the same data which obviously need to be stored as well.

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Machine Learning Machine Learning Data Lakes Database 98

insideBIGDATA

SEPTEMBER 7, 2023

Starburst, the data lake analytics platform, today extended their support for the most widely used multi-purpose, high-level programming language, Python with PyStarburst, as well as announced a new integration with the open source Python library, Ibis, built in collaboration with composable data systems builder and Ibis maintainer, Voltron Data. (..)

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Dataversity

MAY 26, 2022

A data lake becomes a data swamp in the absence of comprehensive data quality validation and does not offer a clear link to value creation. Organizations are rapidly adopting the cloud data lake as the data lake of choice, and the need for validating data in real time has become critical.

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Smart Data Collective

AUGUST 13, 2019

Machine learning is rewriting the rules of the gaming industry. One report showed that Caesars is investing $1 billion in big data. I still remember playing my favorite games growing up, before machine learning was a thing or big data was a household word. Other companies are following suit.

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Machine Learning Machine Learning Big Data Big Data 96

AWS Machine Learning Blog

AUGUST 21, 2024

Amazon DataZone is a data management service that makes it quick and convenient to catalog, discover, share, and govern data stored in AWS, on-premises, and third-party sources. The data lake environment is required to configure an AWS Glue database table, which is used to publish an asset in the Amazon DataZone catalog.

Machine Learning 119

Machine Learning Machine Learning Data Governance ML 119

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

AWS Machine Learning Blog

JUNE 5, 2023

Data is the foundation for machine learning (ML) algorithms. One of the most common formats for storing large amounts of data is Apache Parquet due to its compact and highly efficient format. Athena allows applications to use standard SQL to query massive amounts of data on an S3 data lake.

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Machine Learning Machine Learning AWS Data Lakes 89

AWS Machine Learning Blog

NOVEMBER 6, 2024

Additionally, consider exploring other AWS services and tools that can complement and enhance your AI-driven applications, such as Amazon SageMaker for machine learning model training and deployment, or Amazon Lex for building conversational interfaces. He is passionate about cloud and machine learning.

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AWS Python Machine Learning Machine Learning 117

Dataversity

MARCH 24, 2021

Enterprises migrating on-prem data environments to the cloud in pursuit of more robust, flexible, and integrated analytics and AI/ML capabilities are fueling a surge in cloud data lake implementations. The post How to Ensure Your New Cloud Data Lake Is Secure appeared first on DATAVERSITY.

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Data Science Dojo

JULY 6, 2023

It integrates well with other Google Cloud services and supports advanced analytics and machine learning features. It provides a scalable and fault-tolerant ecosystem for big data processing. Spark offers a rich set of libraries for data processing, machine learning, graph processing, and stream processing.

Data Engineering 195

Data Engineering Data Engineering Data Engineer Data Engineering 195

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.

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Data Lakes Azure Data Warehouse Hadoop 52

Tableau

JUNE 8, 2021

We often hear that organizations have invested in data science capabilities but are struggling to operationalize their machine learning models. Domain experts, for example, feel they are still overly reliant on core IT to access the data assets they need to make effective business decisions.

Tableau 102

Tableau Data Lakes Data Warehouse SQL 102

Flipboard

JANUARY 6, 2025

After completion of the program, Precise achieved Advanced tier partner status and was selected by a federal government agency to create a machine learning as a service (MLaaS) platform on AWS. This customer wanted to use machine learning as a tool to digitize images and recognize handwriting.

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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 Modeling Data Models Data Warehouse 52

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

APRIL 3, 2025

Amazon AppFlow was used to facilitate the smooth and secure transfer of data from various sources into ODAP. Additionally, Amazon Simple Storage Service (Amazon S3) served as the central data lake, providing a scalable and cost-effective storage solution for the diverse data types collected from different systems.

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AWS Data Governance Data Silos SQL 77

Alation

FEBRUARY 20, 2020

When it was no longer a hard requirement that a physical data model be created upon the ingestion of data, there was a resulting drop in richness of the description and consistency of the data stored in Hadoop. You did not have to understand or prepare the data to get it into Hadoop, so people rarely did.

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Data Lakes Hadoop Tableau Big Data 52

AWS Machine Learning Blog

AUGUST 8, 2024

As one of the largest AWS customers, Twilio engages with data, artificial intelligence (AI), and machine learning (ML) services to run their daily workloads. Data is the foundational layer for all generative AI and ML applications. The following diagram illustrates the solution architecture.

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SQL Data Lakes Data Analyst AWS 122

ODSC - Open Data Science

JUNE 1, 2023

Real-Time ML with Spark and SBERT, AI Coding Assistants, Data Lake Vendors, and ODSC East Highlights Getting Up to Speed on Real-Time Machine Learning with Spark and SBERT Learn more about real-time machine learning by using this approach that uses Apache Spark and SBERT.

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Data Lakes ML ML Citizen Data Scientist 52

Data Science 101

NOVEMBER 11, 2019

Azure Synapse Analytics This is the future of data warehousing. It combines data warehousing and data lakes into a simple query interface for a simple and fast analytics service. Call for Research Proposals Amazon is seeking proposals impact research in the Artificial Intelligence and Machine Learning areas.

Cloud Data 95

Cloud Data Data Science Azure Clustering 95

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.

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AWS Machine Learning Blog

MARCH 8, 2023

MPII is using a machine learning (ML) bid optimization engine to inform upstream decision-making processes in power asset management and trading. This solution helps market analysts design and perform data-driven bidding strategies optimized for power asset profitability.

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AWS Machine Learning Machine Learning Analytics 92

AWS Machine Learning Blog

OCTOBER 20, 2023

Customers of every size and industry are innovating on AWS by infusing machine learning (ML) into their products and services. However, implementing security, data privacy, and governance controls are still key challenges faced by customers when implementing ML workloads at scale.

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Smart Data Collective

FEBRUARY 23, 2022

Traditional relational databases provide certain benefits, but they are not suitable to handle big and various data. That is when data lake products started gaining popularity, and since then, more companies introduced lake solutions as part of their data infrastructure. How to improve indexing.

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Data Lakes AWS SQL Big Data 124

ODSC - Open Data Science

MARCH 21, 2025

DatasaurAI-Powered DataLabeling Datasaur focuses on improving AI development with its open-source data labeling solutions. Designed for NLP and machine learning applications, Datasaurs tools enable teams to streamline data annotation workflows.

Data Scientist 52

Data Scientist Data Visualization Data Science Data Lakes 52

ODSC - Open Data Science

FEBRUARY 15, 2024

The Future of the Single Source of Truth is an Open Data Lake Organizations that strive for high-performance data systems are increasingly turning towards the ELT (Extract, Load, Transform) model using an open data lake. Register by Friday for 50% off! See them here!

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Data Lakes Data Visualization Machine Learning Machine Learning 52

Data Science 101

NOVEMBER 7, 2019

Azure Synapse Analytics can be seen as a merge of Azure SQL Data Warehouse and Azure Data Lake. Synapse allows one to use SQL to query petabytes of data, both relational and non-relational, with amazing speed. R Support for Azure Machine Learning. Azure Synapse. It’s true, I saw it happen this week.

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Data Science Azure SQL Machine Learning 106

AWS Machine Learning Blog

FEBRUARY 21, 2025

He specializes in large language models, cloud infrastructure, and scalable data systems, focusing on building intelligent solutions that enhance automation and data accessibility across Amazons operations. He specializes in building scalable machine learning infrastructure, distributed systems, and containerization technologies.

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Dataversity

FEBRUARY 17, 2022

With machine learning (ML) and artificial intelligence (AI) applications becoming more business-critical, organizations are in the race to advance their AI/ML capabilities. To realize the full potential of AI/ML, having the right underlying machine learning platform is a prerequisite.

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Machine Learning Machine Learning ML ML 52

Dataconomy

FEBRUARY 25, 2025

Data storage and processing The storage and processing of big data require specific architectures tailored to handle large volumes and various types of data efficiently. Data lakes Data lakes provide a centralized repository for storing raw data in its original format, making it easy to analyze different data types as needed.

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Big Data Big Data Data Lakes Machine Learning 91

Data Science Connect

JULY 28, 2023

Cloud-Based IoT Platforms Cloud-based IoT platforms offer scalable storage and computing resources for handling the massive influx of IoT data. These platforms provide data engineers with the flexibility to develop and deploy IoT applications efficiently.

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Internet of Things Data Engineering Data Engineering Data Engineering 130

IBM Journey to AI blog

OCTOBER 16, 2023

Machine learning (ML)—the artificial intelligence (AI) subfield in which machines learn from datasets and past experiences by recognizing patterns and generating predictions—is a $21 billion global industry projected to become a $209 billion industry by 2029.

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Machine Learning Machine Learning ML ML 52

AWS Machine Learning Blog

MARCH 1, 2023

This combination of great models and continuous adaptation is what will lead to a successful machine learning (ML) strategy. Today, we are excited to announce the launch of Amazon Comprehend flywheel—a one-stop machine learning operations (MLOps) feature for an Amazon Comprehend model.

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