AWS Big Data

OCTOBER 14, 2024

Enterprise data is brought into data lakes and data warehouses to carry out analytical, reporting, and data science use cases using AWS analytical services like Amazon Athena , Amazon Redshift , Amazon EMR , and so on.

Metadata 105

Metadata Data Lake Modeling Data Warehouse 105

AWS Big Data

DECEMBER 12, 2024

One-time and complex queries are two common scenarios in enterprise data analytics. Complex queries, on the other hand, refer to large-scale data processing and in-depth analysis based on petabyte-level data warehouses in massive data scenarios. file, enter the preprocessing code for the raw lineage data.

Snapshot 97

Snapshot Recreation/Entertainment Experimentation Data Lake 97

AWS Big Data

OCTOBER 30, 2024

With this integration, you can now seamlessly query your governed data lake assets in Amazon DataZone using popular business intelligence (BI) and analytics tools, including partner solutions like Tableau. Refer to the detailed blog post on how you can use this to connect through various other tools.

Analytics 119

Analytics Visualization Data Governance Data-driven 119

AWS Big Data

FEBRUARY 24, 2023

Data lakes are a popular choice for today’s organizations to store their data around their business activities. As a best practice of a data lake design, data should be immutable once stored. A data lake built on AWS uses Amazon Simple Storage Service (Amazon S3) as its primary storage environment.

Data Lake 98

Data Lake Metadata Testing Data Warehouse 98

AWS Big Data

NOVEMBER 7, 2024

Tens of thousands of customers use Amazon Redshift every day to run analytics, processing exabytes of data for business insights. times better price performance than other cloud data warehouses. For more details, refer to the BladeBridge Analyzer Demo. Amazon Redshift is built for scale and delivers up to 7.9

Data Warehouse 105

Data Warehouse Reporting Big Data Data Lake 105

AWS Big Data

OCTOBER 30, 2024

Automate ingestion from a single data source With a auto-copy job, you can automate ingestion from a single data source by creating one job and specifying the path to the S3 objects that contain the data. The S3 object path can reference a set of folders that have the same key prefix.

Data Warehouse 111

Data Warehouse Sales Data Lake Recreation/Entertainment 111

AWS Big Data

AUGUST 3, 2023

Data analytics on operational data at near-real time is becoming a common need. Due to the exponential growth of data volume, it has become common practice to replace read replicas with data lakes to have better scalability and performance. Apache Hudi connector for AWS Glue For this post, we use AWS Glue 4.0,

Data Lake 98

Data Lake Visualization Dashboards Insurance 98

AWS Big Data

JANUARY 24, 2024

AWS-powered data lakes, supported by the unmatched availability of Amazon Simple Storage Service (Amazon S3), can handle the scale, agility, and flexibility required to combine different data and analytics approaches. For more information, refer to Amazon S3: Allows read and write access to objects in an S3 Bucket.

Snapshot 126

Snapshot Data Lake Metadata Optimization 126

AWS Big Data

MAY 3, 2023

In today’s data-driven business environment, organizations face the challenge of efficiently preparing and transforming large amounts of data for analytics and data science purposes. Businesses need to build data warehouses and data lakes based on operational data.

Data Lake 114

Data Lake Data Warehouse Data-driven Optimization 114

AWS Big Data

APRIL 8, 2025

In modern data architectures, Apache Iceberg has emerged as a popular table format for data lakes, offering key features including ACID transactions and concurrent write support. For more detailed configuration, refer to Write properties in the Iceberg documentation.

Snapshot 138

Snapshot Management Metadata Big Data 138

AWS Big Data

JANUARY 6, 2025

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. It also helps you securely access your data in operational databases, data lakes, or third-party datasets with minimal movement or copying of data.

Analytics 98

Analytics Data Warehouse Big Data Metrics 98

AWS Big Data

MARCH 7, 2024

At the same time, they need to optimize operational costs to unlock the value of this data for timely insights and do so with a consistent performance. With this massive data growth, data proliferation across your data stores, data warehouse, and data lakes can become equally challenging.

Data Lake 131

Data Lake Analytics Dashboards Metrics 131

AWS Big Data

NOVEMBER 29, 2023

It enables data engineers, data scientists, and analytics engineers to define the business logic with SQL select statements and eliminates the need to write boilerplate data manipulation language (DML) and data definition language (DDL) expressions. Data engineers define dbt models for their data representations.

Data Lake 122

Data Lake Management Metrics Data Warehouse 122

AWS Big Data

MARCH 25, 2024

To learn more about RAG, refer to Question answering using Retrieval Augmented Generation with foundation models in Amazon SageMaker JumpStart. A RAG-based generative AI application can only produce generic responses based on its training data and the relevant documents in the knowledge base.

Data Lake 121

Data Lake Unstructured Data Management Snapshot 121

AWS Big Data

FEBRUARY 29, 2024

Data governance is a critical building block across all these approaches, and we see two emerging areas of focus. First, many LLM use cases rely on enterprise knowledge that needs to be drawn from unstructured data such as documents, transcripts, and images, in addition to structured data from data warehouses.

Data Governance 124

Data Governance Unstructured Data Metadata Data Lake 124

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.

Data Lake 130

Data Lake Insurance Data-driven Data Processing 130

AWS Big Data

AUGUST 3, 2023

Today’s modern data lakes span multiple accounts, AWS Regions, and lines of business in organizations. It’s important that their data solution gives them the ability to share and access data securely and safely across Regions. For example, we are using a data lake administrator role called LF-Admin.

Data Lake 98

Data Lake Metadata Management Data Processing 98

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 Lake 52

Data Lake Metadata Structured Data Big Data 52

AWS Big Data

OCTOBER 20, 2023

Today, we are pleased to announce new AWS Glue connectors for Azure Blob Storage and Azure Data Lake Storage that allow you to move data bi-directionally between Azure Blob Storage, Azure Data Lake Storage, and Amazon Simple Storage Service (Amazon S3). option("header","true").load("wasbs://yourblob@youraccountname.blob.core.windows.net/loadingtest-input/100mb")

Data Lake 111

Data Lake Big Data Data Warehouse Consulting 111

AWS Big Data

AUGUST 27, 2024

Data can be shared with a Redshift Serverless or provisioned cluster in the same Region or with a Redshift Serverless cluster in a different Region. To get an overview of Salesforce Zero Copy integration with Amazon Redshift, please refer to this Salesforce Blog. For more details, refer to Querying the AWS Glue Data Catalog.

Data Lake 111

Data Lake Analytics Data-driven Management 111

erwin

AUGUST 15, 2022

For NoSQL, data lakes, and data lake houses—data modeling of both structured and unstructured data is somewhat novel and thorny. This blog is an introduction to some advanced NoSQL and data lake database design techniques (while avoiding common pitfalls) is noteworthy. Data Modeling.

Data Lake 52

Data Lake Modeling Unstructured Data Data Warehouse 52

AWS Big Data

JUNE 8, 2023

You can use the plugin to set up different monitors, including cluster health, an individual document, a custom query, or aggregated data. For instructions, refer to Creating and managing Amazon OpenSearch Service domains. About the Authors Manikanta Gona is a Data and ML Engineer at AWS Professional Services.

Data Lake 98

Data Lake Dashboards Metrics Testing 98

CIO Business Intelligence

OCTOBER 13, 2023

Data architect Armando Vázquez identifies eight common types of data architects: Enterprise data architect: These data architects oversee an organization’s overall data architecture, defining data architecture strategy and designing and implementing architectures.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

AWS Big Data

MARCH 7, 2023

Flexible and easy to use – The solutions should provide less restrictive, easy-to-access, and ready-to-use data. A data hub contains data at multiple levels of granularity and is often not integrated. It differs from a data lake by offering data that is pre-validated and standardized, allowing for simpler consumption by users.

Analytics 97

Analytics Data Warehouse Data Lake Metadata 97

AWS Big Data

APRIL 30, 2024

Amazon Q Developer can now generate complex data integration jobs with multiple sources, destinations, and data transformations. and Amazon Q provides concise explanations along with references you can use to follow up on your questions and validate the guidance.

Data Integration 128

Data Integration Data Lake Data Warehouse Software 128

Cloudera

AUGUST 9, 2022

The CDP Disaster Recovery Reference Architecture. Today we announce the official release of the CDP Disaster Recovery Reference Architecture (DRRA). The CDP Disaster Recovery Reference Architecture is available in our public documentation within the CDP Reference Architectures microsite. Cloudera Data Platform.

Data Lake 78

Data Lake Data Warehouse Data-driven IoT 78

AWS Big Data

MAY 28, 2024

LLMs could automate the extraction and summarization of key information from these documents, enabling analysts to query the LLM and receive reliable summaries. This would allow analysts to process the documents to develop investment recommendations faster and more efficiently. If yes, run query to extract information.

Unstructured Data 118

Unstructured Data Data Warehouse Structured Data Testing 118

AWS Big Data

OCTOBER 25, 2023

Text, images, audio, and videos are common examples of unstructured data. Most companies produce and consume unstructured data such as documents, emails, web pages, engagement center phone calls, and social media. The steps of the workflow are as follows: Integrated AI services extract data from the unstructured data.

Unstructured Data 133

Unstructured Data Metadata Management Analytics 133

AWS Big Data

OCTOBER 2, 2023

For a deeper exploration on configuring and using streaming ingestion in Amazon Redshift , refer to Real-time analytics with Amazon Redshift streaming ingestion. For streams that contain the raw binary data encoded in JSON format, Amazon Redshift provides a variety of tools for parsing and managing the data.

Cost-Benefit 115

Cost-Benefit Metadata Structured Data Data-driven 115

erwin

JULY 17, 2019

It improves IT and business data literacy and knowledge, supporting enterprise data governance and business enablement. It helps solve the lack of visibility and control over “data at rest” in databases, data lakes and data warehouses and “data in motion” as it is integrated with and used by key applications.

Digital Transformation 98

Digital Transformation Strategy Metadata Data-driven 98

AWS Big Data

AUGUST 19, 2024

Refer to Enabling AWS PrivateLink in the Snowflake documentation to verify the steps, required access level, and service level to set the configurations. For Data sources , search for and select Snowflake. To obtain the Snowflake PrivateLink account URL, refer to parameters obtained in the prerequisites. Choose Next.

Analytics 119

Analytics Data-driven Data Integration Data Lake 119

CIO Business Intelligence

AUGUST 14, 2024

Organizations with experience building enterprise data lakes connecting to many different data sources have AI advantages. They’re more able to connect to a diverse set of data sources, build more complex context around queries going through the model, and do retrieval augmented generation,” he adds.

Enterprise 136

Enterprise Cost-Benefit Experimentation Modeling 136

AWS Big Data

MAY 16, 2023

This issue becomes increasingly challenging for larger organizations that operate in multiple countries and states, because each country and state may have their own rules and regulations regarding data retention and deletion. Data ingestion workflow The following diagram illustrates the data ingestion workflow.

Data Lake 101

Data Lake Cost-Benefit Optimization Testing 101

AWS Big Data

SEPTEMBER 12, 2024

The document and key value data models allow you the flexibility to adjust the schema of the conversation state over time. The application gets prompt templates from an S3 data lake and creates the engineered prompt. The user interaction is stored in a data lake for downstream usage and BI analysis.

Management 104

Management Analytics Data Lake Interactive 104

AWS Big Data

APRIL 3, 2023

Tens of thousands of customers run business-critical workloads on Amazon Redshift , AWS’s fast, petabyte-scale cloud data warehouse delivering the best price-performance. With Amazon Redshift, you can query data across your data warehouse, operational data stores, and data lake using standard SQL.

Data Warehouse 105

Data Warehouse Testing Data Lake Data-driven 105

AWS Big Data

FEBRUARY 27, 2023

Confidential or restricted data access might involve aspects of identity and authorization management. Examples of confidential data include Social Security numbers and vehicle identification numbers. The data lake administrator of the recipient account can view the direct cross-account grants, but can’t revoke permissions.

Enterprise 120

Enterprise Publishing Data Lake Management 120

AWS Big Data

FEBRUARY 8, 2023

For more information, refer to Download and Installation of NW RFC SDK. For instructions, refer to Configuration basics. Clone the PyRFC module from GitHub For instructions for creating and connecting to an Amazon Linux 2 AMI EC2 instance, refer to Tutorial: Get started with Amazon EC2 Linux instances.

Testing 105

Testing Data Integration Data Lake Enterprise 105