AWS Big Data

AUGUST 31, 2023

Amazon Redshift enables you to directly access data stored in Amazon Simple Storage Service (Amazon S3) using SQL queries and join data across your data warehouse and data lake. With Amazon Redshift, you can query the data in your S3 data lake using a central AWS Glue metastore from your Redshift data warehouse.

Data Lake 107

Data Lake Data Warehouse Metadata Data Architecture 107

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 122

Data Lake Publishing Metadata Data-driven 122

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 26, 2024

Initially, data warehouses were the go-to solution for structured data and analytical workloads but were limited by proprietary storage formats and their inability to handle unstructured data. Eventually, transactional data lakes emerged to add transactional consistency and performance of a data warehouse to the data lake.

Metadata 94

Metadata Data Lake Snapshot Data Warehouse 94

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 116

Data Lake Sales Data Warehouse Snapshot 116

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 103

Data Lake Data Processing Metadata Snapshot 103

David Menninger's Analyst Perspectives

JANUARY 21, 2025

While the company continues to make its software available for self-managed deployment on premises or in the cloud via MongoDB Enterprise Advanced and the MongoDB Community Edition free download, the proportion of MongoDBs revenue associated with Atlas has been steadily increasing since it was launched in 2016 and accounted for 71% of MongoDBs $478.1

Data Lake 130

Data Lake IoT Cost-Benefit Enterprise 130

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 macOS and Linux users, you need to deflate the downloaded gzip file. Amazon Redshift is built for scale and delivers up to 7.9

Data Warehouse 96

Data Warehouse Reporting Big Data Data Lake 96

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 103

Analytics Visualization Data Governance Data-driven 103

Jet Global

SEPTEMBER 4, 2020

There is an established body of practice around creating, managing, and accessing OLAP data (known as “cubes”). Data Lakes. There has been a lot of talk over the past year or two in the D365F&SCM world about “data lakes.” Traditional databases and data warehouses do not lend themselves to that task.

Data Lake 88

Data Lake OLAP Data Warehouse Unstructured Data 88

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 92

Data Lake Data Transformation Data-driven Cost-Benefit 92

AWS Big Data

JUNE 10, 2024

Use cases for Hive metastore federation for Amazon EMR Hive metastore federation for Amazon EMR is applicable to the following use cases: Governance of Amazon EMR-based data lakes – Producers generate data within their AWS accounts using an Amazon EMR-based data lake supported by EMRFS on Amazon Simple Storage Service (Amazon S3)and HBase.

Data Lake 95

Data Lake Metadata Data Warehouse Data Processing 95

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

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 80

Data Lake Testing Snapshot Big Data 80

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 75

Data Lake Dashboards Cost-Benefit Data Warehouse 75

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. Navigate to the AWS Service Catalog console and choose Amazon SageMaker.

Metadata 88

Metadata Data Lake Modeling Data Warehouse 88

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 120

Data Lake Big Data Software Interactive 120

Cloudera

FEBRUARY 14, 2019

Download Cloudera Altus Director and experience ADLS Gen2 now. The post Cloudera announces support for Azure’s next-generation Data Lake Store appeared first on Cloudera Blog. Read the announcement here. To learn more: . Read about the ADLS Gen2 announcement on Azure.com.

Data Lake 60

Data Lake Cost-Benefit Big Data Data Processing 60

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 82

Data Lake Data Science Recreation/Entertainment Data-driven 82

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 107

Data Lake Snapshot Big Data Data-driven 107

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 113

Data Lake Data Warehouse Management Risk 113

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 94

Analytics Data Warehouse Big Data Metrics 94

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 66

Data Lake Metadata Business Analysis Data-driven 66

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 102

Data Lake Data Warehouse Unstructured Data Data Governance 102

AWS Big Data

NOVEMBER 14, 2024

Note that the extra package ( delta-iceberg ) is required to create a UniForm table in AWS Glue Data Catalog. The extra package is also required to generate Iceberg metadata along with Delta Lake metadata for the UniForm table. Download delta-lake-uniform-on-aws.ipynb.

Metadata 110

Metadata Data Warehouse Big Data Data Lake 110

CIO Business Intelligence

APRIL 25, 2024

For instance, a Data Cloud-triggered flow could update an account manager in Slack when shipments in an external data lake are marked as delayed. Sharing Customer 360 insights back without data replication.

Data Integration 119

Data Integration Data Lake Data Warehouse Metadata 119

BI-Survey

APRIL 4, 2019

A fter the hype comes disillusionment and the growing realization that Hadoop and data lakes do not provide the answer for all analytic tasks. There is still a need to further explore this area and make the best practices and benefits of Hadoop and data lakes more transparent and tangible based on real experiences.

Data Lake 40

Data Lake Reporting Technology Analytics 40

AWS Big Data

DECEMBER 9, 2024

Select the following JAR files from the Iceberg releases page and download these JAR files on your local machine: 1.6.1 Upload the two downloaded JAR files on s3:// /jars/ from the S3 console. Download history.ipynb. Select Upload Notebook , choose Choose file and upload the Notebook you downloaded. runtime Jar.

Snapshot 64

Snapshot Data Warehouse Data Lake Data Quality 64

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 114

Snapshot Data Lake Metadata Optimization 114

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 71

Visualization Data Processing Testing Publishing 71

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 113

Statistics Data Lake Optimization Data-driven 113

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 93

Data Lake Enterprise Management Business Intelligence 93

CIO Business Intelligence

MARCH 2, 2023

They’re also implementing a cloud-based data lake and analytics solution that will provide what Tandon calls a single source of truth, and drive self-service analytics and data-backed decision-making to help them operate more efficiently. Estimated readings for our customers stood at 2.2%

Data Lake 143

Data Lake Forecasting B2B Optimization 143

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 95

Data Lake Deep Learning Interactive Machine Learning 95

AWS Big Data

JULY 20, 2023

Also, Hive metastore provides flexible integration with many other open-source big data software like Apache HBase, Apache Spark, Presto, and Apache Impala. A metastore is a critical part of a data lake, and having this information available, wherever it resides, is important. Download the sample data to the S3 bucket.

Data Lake 87

Data Lake Metadata Data Processing Big Data 87

CIO Business Intelligence

MAY 21, 2024

In the past, to get at the data, engineers had to plug a USB stick into the car after a race, download the data, and upload it to Dropbox where the core engineering team could then access and analyze it. We introduced the Real-Time Hub,” says Arun Ulagaratchagan, CVP, Azure Data at Microsoft.

Broadcasting 126

Broadcasting Recreation/Entertainment Manufacturing Data Lake 126

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 95

Data Quality Data Lake Data Warehouse Metrics 95