ODSC - Open Data Science

AUGUST 15, 2023

Recently we’ve seen lots of posts about a variety of different file formats for data lakes. There’s Delta Lake, Hudi, Iceberg, and QBeast, to name a few. It can be tough to keep track of all these data lake formats — let alone figure out why (or if!) And I’m curious to see if you’ll agree.

Data Lakes 98

Data Lakes ETL Data Science Algorithm 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

Data Science Blog

MAY 20, 2024

It offers full BI-Stack Automation, from source to data warehouse through to frontend. It supports a holistic data model, allowing for rapid prototyping of various models. It also supports a wide range of data warehouses, analytical databases, data lakes, frontends, and pipelines/ETL.

Data Pipeline 262

Data Pipeline Data Warehouse Azure Data Lakes 262

Data Science Blog

FEBRUARY 7, 2023

Was gerade zum Trend wird, ist der Aufbau eines Data Lakehouses. Ein Lakehouse inkludiert auch clevere Art und Weise auch einen Data Lake. Ein Data Lake ist dann sowas wie die eine böse Schublade, die man eigentlich gar nicht haben möchte, aber in die man dann alle Briefe, Dokumente usw.

Business Intelligence 286

Business Intelligence Business Intelligence Data Warehouse Data Lakes 286

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

Dataversity

JANUARY 28, 2021

It has been ten years since Pentaho Chief Technology Officer James Dixon coined the term “data lake.” While data warehouse (DWH) systems have had longer existence and recognition, the data industry has embraced the more […]. The post A Bridge Between Data Lakes and Data Warehouses appeared first on DATAVERSITY.

Data Lakes 59

Data Lakes Data Warehouse Data Quality Data Governance 59

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.

Data Lakes 59

Data Lakes Cloud Data ML ML 59

Data Science Blog

MAY 15, 2023

tl;dr Ein Data Lakehouse ist eine moderne Datenarchitektur, die die Vorteile eines Data Lake und eines Data Warehouse kombiniert. Die Definition eines Data Lakehouse Ein Data Lakehouse ist eine moderne Datenspeicher- und -verarbeitungsarchitektur, die die Vorteile von Data Lakes und Data Warehouses vereint.

Data Warehouse 147

Data Warehouse Data Lakes Azure AWS 147

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 SQL AWS ETL 64

Alation

OCTOBER 21, 2021

Data Swamp vs Data Lake. When you imagine a lake, it’s likely an idyllic image of a tree-ringed body of reflective water amid singing birds and dabbling ducks. I’ll take the lake, thank you very much. Many organizations have built a data lake to solve their data storage, access, and utilization challenges.

Data Lakes 52

Data Lakes Data Governance Data Warehouse Business Intelligence 52

The Data Administration Newsletter

JUNE 5, 2024

In the ever-evolving landscape of data management, two key concepts have emerged as essential components for organizations seeking to harness the power of their data: data marts and data lakes. Understanding the distinctions […]

Data Lakes 52

Data Lakes Big Data Big Data 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

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.

Data Lakes 52

Data Lakes Machine Learning Machine Learning Data Quality 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.

Data Lakes 52

Data Lakes Data Warehouse Database ETL 52

Dataversity

OCTOBER 14, 2022

The data being talked about is useful for businesses to draw insights, formulate strategies, and understand trends and customer behavior, among others. […]. The post Maximize the ROI of Your Enterprise Data Lake appeared first on DATAVERSITY.

Data Lakes 52

Data Lakes Analytics Analytics Artificial Intelligence 52

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.

Data Lakes 52

Data Lakes Hadoop Tableau Big Data 52

Alation

FEBRUARY 20, 2020

For many enterprises, a hybrid cloud data lake is no longer a trend, but becoming reality. Due to these needs, hybrid cloud data lakes emerged as a logical middle ground between the two consumption models. Without business context, business users are less likely to use the data lake and insights will be hard to come by.

Data Lakes 52

Data Lakes Cloud Data AWS Tableau 52

Dataversity

AUGUST 19, 2022

The data we produce and manage is growing in scale and demands careful consideration of the proper data framework for the job. There’s no one-size-fits-all data architecture, and […]. The post Data Lakes Are Dead: Evolving Your Company’s Data Architecture appeared first on DATAVERSITY.

Data Lakes 52

Data Lakes Data Governance Data Quality 52

Data Science Blog

JULY 20, 2024

Automatisierung: Erstellt SQL-Code, DACPAC-Dateien, SSIS-Pakete, Data Factory-ARM-Vorlagen und XMLA-Dateien. Data Lakes: Unterstützt MS Azure Blob Storage. Pipelines/ETL : Unterstützt Technologien wie SQL Server Integration Services und Azure Data Factory.

Azure 130

Azure SQL Power BI Data Lakes 130

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

phData

NOVEMBER 8, 2024

Open Table Format (OTF) architecture now provides a solution for efficient data storage, management, and processing while ensuring compatibility across different platforms. In this blog, we will discuss: What is the Open Table format (OTF)? It can also be integrated into major data platforms like Snowflake. Contact phData Today!

Data Lakes 52

Data Lakes Data Warehouse Database Azure 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

DECEMBER 11, 2024

Many of these applications are complex to build because they require collaboration across teams and the integration of data, tools, and services. Data engineers use data warehouses, data lakes, and analytics tools to load, transform, clean, and aggregate data. Big Data Architect. option("sep", ",").load("s3://aws-blogs-artifacts-public/artifacts/BDB-4798/data/venue.csv")

SQL 156

SQL AWS Data Lakes ML 156

AWS Machine Learning Blog

AUGUST 8, 2024

Managing and retrieving the right information can be complex, especially for data analysts working with large data lakes and complex SQL queries. This post highlights how Twilio enabled natural language-driven data exploration of business intelligence (BI) data with RAG and Amazon Bedrock.

SQL 119

SQL Data Lakes Data Analyst AWS 119

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 126

ML ML AWS Data Lakes 126

AWS Machine Learning Blog

DECEMBER 11, 2024

This enables sales teams to interact with our internal sales enablement collateral, including sales plays and first-call decks, as well as customer references, customer- and field-facing incentive programs, and content on the AWS website, including blog posts and service documentation.

AWS 97

AWS Database AI AI 97

DagsHub

DECEMBER 11, 2023

Best 8 data version control tools for 2023 (Source: DagsHub ) Introduction With business needs changing constantly and the growing size and structure of datasets, it becomes challenging to efficiently keep track of the changes made to the data, which leads to unfortunate scenarios such as inconsistencies and errors in data.

Machine Learning 98

Machine Learning Machine Learning Data Lakes Data Science 98

IBM Journey to AI blog

APRIL 24, 2023

A data lakehouse contains an organization’s data in a unstructured, structured, semi-structured form, which can be stored indefinitely for immediate or future use. This data is used by data scientists and engineers who study data to gain business insights.

Data Warehouse 112

Data Warehouse Data Lakes Database Big Data 112

AWS Machine Learning Blog

MARCH 1, 2023

Flywheel creates a data lake (in Amazon S3) in your account where all the training and test data for all versions of the model are managed and stored. Periodically, the new labeled data (to retrain the model) can be made available to flywheel by creating datasets. One for the data lake for Comprehend flywheel.

Data Lakes 84

Data Lakes AWS ML ML 84

AWS Machine Learning Blog

MARCH 1, 2023

This feature also allows you to automate model retraining after new datasets are ingested and available in the flywheel´s data lake. Data lake – A flywheel’s data lake is a location in your Amazon Simple Storage Service (Amazon S3) bucket that stores all its datasets and model artifacts.

Data Lakes 97

Data Lakes AWS ML ML 97

AWS Machine Learning Blog

NOVEMBER 12, 2024

In this blog post, we demonstrate prompt engineering techniques to generate accurate and relevant analysis of tabular data using industry-specific language. This is done by providing large language models (LLMs) in-context sample data with features and labels in the prompt. Arghya Banerjee is a Sr.

SQL 103

SQL AWS AI AI 103

Dataversity

MARCH 12, 2021

blog series, we experiment with the most interesting blends of data and tools. Whether it’s mixing traditional sources with modern data lakes, open-source devops on the cloud with protected internal legacy tools, SQL with noSQL, web-wisdom-of-the-crowd with in-house handwritten notes, or IoT […].

Data Lakes 52

Data Lakes SQL Database Data Science 52

IBM Journey to AI blog

OCTOBER 4, 2023

A data lakehouse architecture combines the performance of data warehouses with the flexibility of data lakes, to address the challenges of today’s complex data landscape and scale AI.

Data Lakes 95

Data Lakes Data Warehouse AI AI 95

AWS Machine Learning Blog

JUNE 5, 2023

Many teams are turning to Athena to enable interactive querying and analyze their data in the respective data stores without creating multiple data copies. Athena allows applications to use standard SQL to query massive amounts of data on an S3 data lake. Create a data lake with Lake Formation.

Machine Learning 90

Machine Learning Machine Learning AWS Data Lakes 90

AWS Machine Learning Blog

SEPTEMBER 27, 2024

Amazon Simple Storage Service (Amazon S3) stores the model artifacts and creates a data lake to host the inference output, document analysis output, and other datasets in CSV format. The model is then trained using a fully managed infrastructure, validated, and published to the Amazon SageMaker Model Registry.

AWS 118

AWS Data Lakes ML ML 118

Smart Data Collective

FEBRUARY 20, 2022

Data storage databases. Your SaaS company can store and protect any amount of data using Amazon Simple Storage Service (S3), which is ideal for data lakes, cloud-native applications, and mobile apps. This blog post has demonstrated how AWS can greatly benefit your SaaS company, on multiple levels. Conclusions.

AWS 138

AWS Cloud Computing Data Lakes Database 138

Dataversity

MAY 7, 2021

blog series, we experiment with the most interesting blends of data and tools. Whether it’s mixing traditional sources with modern data lakes, open-source DevOps on the cloud with protected internal legacy tools, SQL with noSQL, web-wisdom-of-the-crowd with in-house handwritten notes, or IoT […].

Data Lakes 52

Data Lakes SQL Database Data Science 52