AWS Big Data

SEPTEMBER 26, 2024

For many organizations, this centralized data store follows a data lake architecture. Although data lakes provide a centralized repository, making sense of this data and extracting valuable insights can be challenging. Process the file to extract or convert the text content.

Data Lake 115

Data Lake Cost-Benefit Unstructured Data Modeling 115

AWS Big Data

OCTOBER 9, 2023

Data lakes have been gaining popularity for storing vast amounts of data from diverse sources in a scalable and cost-effective way. As the number of data consumers grows, data lake administrators often need to implement fine-grained access controls for different user profiles.

Data Lake 131

Data Lake Testing Big Data Management 131

AWS Big Data

MARCH 10, 2023

Since the deluge of big data over a decade ago, many organizations have learned to build applications to process and analyze petabytes of data. Data lakes have served as a central repository to store structured and unstructured data at any scale and in various formats.

Data Lake 122

Data Lake Sales Data Warehouse Snapshot 122

AWS Big Data

JUNE 10, 2024

In this post, we delve into the key aspects of using Amazon EMR for modern data management, covering topics such as data governance, data mesh deployment, and streamlined data discovery. Organizations have multiple Hive data warehouses across EMR clusters, where the metadata gets generated.

Data Lake 117

Data Lake Metadata Data Warehouse Data Processing 117

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. Prerequisites To get started, complete these steps: Download and install the latest Athena JDBC driver for Tableau.

Analytics 119

Analytics Visualization Data Governance Data-driven 119

Corinium

APRIL 9, 2019

Download the Report. The Big Data revolution has been surprisingly rapid. Even five years ago many companies were still asking the question, “What is Big Data?”

Unstructured Data 150

Unstructured Data Data Lake Big Data Data Collection 150

AWS Big Data

JULY 18, 2024

Over the years, organizations have invested in creating purpose-built, cloud-based data lakes that are siloed from one another. A major challenge is enabling cross-organization discovery and access to data across these multiple data lakes, each built on different technology stacks.

Data Lake 130

Data Lake Publishing Metadata Data-driven 130

AWS Big Data

SEPTEMBER 13, 2023

A modern data architecture is an evolutionary architecture pattern designed to integrate a data lake, data warehouse, and purpose-built stores with a unified governance model. The company wanted the ability to continue processing operational data in the secondary Region in the rare event of primary Region failure.

Data Lake 111

Data Lake Data Processing Metadata Snapshot 111

Jet Global

NOVEMBER 5, 2020

Option 3: Azure Data Lakes. This leads us to Microsoft’s apparent long-term strategy for D365 F&SCM reporting: Azure Data Lakes. Azure Data Lakes are highly complex and designed with a different fundamental purpose in mind than financial and operational reporting. Data lakes are not a mature technology.

Data Lake 98

Data Lake OLAP Data Warehouse Unstructured Data 98

AWS Big Data

NOVEMBER 14, 2024

The landscape of big data management has been transformed by the rising popularity of open table formats such as Apache Iceberg, Apache Hudi, and Linux Foundation Delta Lake. These formats, designed to address the limitations of traditional data storage systems, have become essential in modern data architectures.

Metadata 122

Metadata Data Warehouse Big Data Data Lake 122

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. About the author Naidu Rongal i is a Big Data and ML engineer at Amazon.

Metadata 105

Metadata Data Lake Modeling Data Warehouse 105

AWS Big Data

AUGUST 1, 2023

Although Jira Cloud provides reporting capability, loading this data into a data lake will facilitate enrichment with other business data, as well as support the use of business intelligence (BI) tools and artificial intelligence (AI) and machine learning (ML) applications. Search for the Jira Cloud connector.

Data Lake 98

Data Lake Data Transformation Data-driven Cost-Benefit 98

AWS Big Data

MARCH 28, 2023

As organizations across the globe are modernizing their data platforms with data lakes on Amazon Simple Storage Service (Amazon S3), handling SCDs in data lakes can be challenging.

Data Lake 103

Data Lake Testing Snapshot Big Data 103

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

DECEMBER 16, 2024

You can download the results as JSON or CSV files using the download icon at the bottom of the output cell. The sample data includes a column star_rating representing a 5-star rating for products. About the Authors Chiho Sugimoto is a Cloud Support Engineer on the AWS Big Data Support team. Choose Run all.

Visualization 95

Visualization Data Processing Testing Publishing 95

AWS Big Data

JUNE 23, 2023

Events and many other security data types are stored in Imperva’s Threat Research Multi-Region data lake. Imperva harnesses data to improve their business outcomes. As part of their solution, they are using Amazon QuickSight to unlock insights from their data.

Data Lake 97

Data Lake Dashboards Cost-Benefit Data Warehouse 97

AWS Big Data

JANUARY 26, 2023

AWS Glue provides an extensible architecture that enables users with different data processing use cases. A common use case is building data lakes on Amazon Simple Storage Service (Amazon S3) using AWS Glue extract, transform, and load (ETL) jobs. On the AWS Glue console, choose Jobs in the navigation plane.

Data Lake 136

Data Lake Big Data Software Interactive 136

AWS Big Data

JANUARY 27, 2023

Verify all table metadata is stored in the AWS Glue Data Catalog. Consume data with Athena or Amazon EMR Trino for business analysis. Update and delete source records in Amazon RDS for MySQL and validate the reflection of the data lake tables. the Flink table API/SQL can integrate with the AWS Glue Data Catalog.

Data Lake 92

Data Lake Metadata Business Analysis Data-driven 92

AWS Big Data

DECEMBER 9, 2024

This streamlined method not only makes the implementation of SCD Type-2 more straightforward, but also offers improved performance and scalability for handling large volumes of historical data in CDC scenarios. Select the following JAR files from the Iceberg releases page and download these JAR files on your local machine: 1.6.1

Snapshot 64

Snapshot Data Warehouse Data Lake Data Quality 64

AWS Big Data

JANUARY 17, 2024

With Amazon EMR 6.15, we launched AWS Lake Formation based fine-grained access controls (FGAC) on Open Table Formats (OTFs), including Apache Hudi, Apache Iceberg, and Delta lake. Many large enterprise companies seek to use their transactional data lake to gain insights and improve decision-making.

Data Lake 116

Data Lake Snapshot Big Data Data-driven 116

AWS Big Data

JUNE 20, 2023

It manages large collections of files as tables, and it supports modern analytical data lake operations such as record-level insert, update, delete, and time travel queries. Download the dataset, unzip it to your local computer, and upload it to your S3 bucket.

Data Lake 104

Data Lake Data Science Recreation/Entertainment Data-driven 104

AWS Big Data

JUNE 26, 2024

New feature: Custom AWS service blueprints Previously, Amazon DataZone provided default blueprints that created AWS resources required for data lake, data warehouse, and machine learning use cases. Downloading these files individually would be a tedious and time-consuming process for Amazon DataZone users.

Data Lake 119

Data Lake Data Warehouse Unstructured Data Data Governance 119

AWS Big Data

MARCH 1, 2024

One of the bank’s key challenges related to strict cybersecurity requirements is to implement field level encryption for personally identifiable information (PII), Payment Card Industry (PCI), and data that is classified as high privacy risk (HPR). Only users with required permissions are allowed to access data in clear text.

Data Lake 119

Data Lake Data Warehouse Management Risk 119

Cloudera

FEBRUARY 14, 2019

Before they can fully realize the benefits of the cloud, they have had to adjust to new data models and new processes. Eventual consistency and other pitfalls can be a nightmare for engineers trying to migrate complex big data infrastructure to the cloud. Download Cloudera Altus Director and experience ADLS Gen2 now.

Data Lake 60

Data Lake Cost-Benefit Big Data Data Processing 60

AWS Big Data

MAY 29, 2024

You can download the following sample certificate to use in this post. Grant access to User1 in Lake Formation Sign in to the Lake Formation console, choose Data lake permissions in the navigation pane, and grant access to the user group on the database oktank_tipblog_temp and table customer.

Data Lake 116

Data Lake Enterprise Management Business Intelligence 116

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 the Delete Object permissions section in Amazon S3 actions.

Snapshot 126

Snapshot Data Lake Metadata Optimization 126

AWS Big Data

JULY 20, 2023

Because Apache Hive was built on top of Apache Hadoop, many organizations have been using the software from the time they have been using Hadoop for big data processing. Also, Hive metastore provides flexible integration with many other open-source big data software like Apache HBase, Apache Spark, Presto, and Apache Impala.

Data Lake 98

Data Lake Metadata Data Processing Big Data 98

AWS Big Data

MARCH 1, 2023

Finding similar columns in a data lake has important applications in data cleaning and annotation, schema matching, data discovery, and analytics across multiple data sources. You can download the code tutorial from GitHub to try this solution on sample data or your own data.

Data Lake 105

Data Lake Deep Learning Interactive Machine Learning 105

AWS Big Data

OCTOBER 9, 2024

Today, customers are embarking on data modernization programs by migrating on-premises data warehouses and data lakes to the AWS Cloud to take advantage of the scale and advanced analytical capabilities of the cloud. Compare ongoing data that is replicated from the source on-premises database to the target S3 data lake.

Data Quality 115

Data Quality Data Lake Data Warehouse Metrics 115

AWS Big Data

NOVEMBER 22, 2023

Data lakes are designed for storing vast amounts of raw, unstructured, or semi-structured data at a low cost, and organizations share those datasets across multiple departments and teams. The queries on these large datasets read vast amounts of data and can perform complex join operations on multiple datasets.

Statistics 131

Statistics Data Lake Optimization Data-driven 131

AWS Big Data

NOVEMBER 19, 2024

Using S3Credentials1 , the function lists the S3 files stored in the table location S3 prefix and downloads them. The retrieved Amazon S3 data is filtered to remove those columns and rows that the user is not allowed access to (authorized columns and row filters were retrieved in Step 5) and authorized data is returned to the user.

Data Lake 98

Data Lake Metadata Testing Data Processing 98

AWS Big Data

JUNE 21, 2023

When setting out to build a data warehouse, it’s a common pattern to have a data lake as the source of the data warehouse. The data lake in this context serves a number of important functions: It acts as a central source for multiple applications, not just exclusively for data warehousing purposes.

Data Warehouse 105

Data Warehouse Data Lake OLAP Cost-Benefit 105

AWS Big Data

MARCH 2, 2023

Many organizations are building data lakes to store and analyze large volumes of structured, semi-structured, and unstructured data. In addition, many teams are moving towards a data mesh architecture, which requires them to expose their data sets as easily consumable data products. YOUR-REGION}.amazonaws.com/{STAGE}

Data Lake 98

Data Lake Testing Interactive Unstructured Data 98

AWS Big Data

FEBRUARY 13, 2024

Now the CloudWatch data source has been registered. Copy the data source ID from the URL [link].amazonaws.com/datasources/edit/ Download the Grafana template. Replace in the JSON file with your Grafana data source ID. About the Authors Noritaka Sekiyama is a Principal Big Data Architect on the AWS Glue team.

Metrics 126

Metrics Dashboards Visualization Key Performance Indicator 126

AWS Big Data

FEBRUARY 15, 2024

You might be modernizing your data architecture using Amazon Redshift to enable access to your data lake and data in your data warehouse, and are looking for a centralized and scalable way to define and manage the data access based on IdP identities. Download the.yml file or launch the CloudFormation stack.

Management 115

Management Data Lake Sales Data Warehouse 115

AWS Big Data

AUGUST 13, 2024

With AWS Glue, you can discover and connect to hundreds of diverse data sources and manage your data in a centralized data catalog. It enables you to visually create, run, and monitor extract, transform, and load (ETL) pipelines to load data into your data lakes. Kamen Sharlandjiev is a Sr.

Data Processing 115

Data Processing Visualization Data Lake Data Processing 115

Cloudera

MAY 19, 2021

For the code to work, the data in it’s CSV format should be placed into the data subfolder. The dataset can be downloaded from: [link]. Data Ingestion. The raw data is in a series of CSV files. We will firstly convert this to parquet format as most data lakes exist as object stores full of parquet files.

Machine Learning 137

Machine Learning Data Science Data Lake Modeling 137