AWS Big Data

AUGUST 9, 2023

The combination of a data lake in a serverless paradigm brings significant cost and performance benefits. By monitoring application logs, you can gain insights into job execution, troubleshoot issues promptly to ensure the overall health and reliability of data pipelines.

Data Lake 94

Data Lake Metrics Testing Cost-Benefit 94

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 95

Metadata Data Lake Snapshot Data Warehouse 95

AWS Big Data

JUNE 9, 2023

A modern data architecture enables companies to ingest virtually any type of data through automated pipelines into a data lake, which provides highly durable and cost-effective object storage at petabyte or exabyte scale.

Data Lake 125

Data Lake Metadata Statistics Optimization 125

AWS Big Data

JUNE 10, 2024

Enterprises and organizations across the globe want to harness the power of data to make better decisions by putting data at the center of every decision-making process. However, throughout history, data services have held dominion over their customers’ data.

Data Lake 122

Data Lake Metadata Snapshot Analytics 122

AWS Big Data

DECEMBER 4, 2024

With this new functionality, customers can create up-to-date replicas of their data from applications such as Salesforce, ServiceNow, and Zendesk in an Amazon SageMaker Lakehouse and Amazon Redshift. SageMaker Lakehouse gives you the flexibility to access and query your data in-place with all Apache Iceberg compatible tools and engines.

Data Integration 98

Data Integration Data Lake Statistics Data-driven 98

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. Amazon S3 emits an object created event and matches an EventBridge rule.

Data Lake 101

Data Lake Cost-Benefit Unstructured Data Modeling 101

AWS Big Data

JULY 31, 2024

In the current industry landscape, data lakes have become a cornerstone of modern data architecture, serving as repositories for vast amounts of structured and unstructured data. Maintaining data consistency and integrity across distributed data lakes is crucial for decision-making and analytics.

Data Lake 112

Data Lake Marketing Data Processing Management 112

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 104

Data Lake Data Processing Metadata Snapshot 104

AWS Big Data

DECEMBER 20, 2024

The DataFrame code generation now extends beyond AWS Glue DynamicFrame to support a broader range of data processing scenarios. The TICKIT dataset records sales activities on the fictional TICKIT website, where users can purchase and sell tickets online for different types of events such as sports games, shows, and concerts.

Data Integration 94

Data Integration Visualization Data Processing Data Lake 94

AWS Big Data

APRIL 3, 2024

licensed, 100% open-source data table format that helps simplify data processing on large datasets stored in data lakes. Data engineers use Apache Iceberg because it’s fast, efficient, and reliable at any scale and keeps records of how datasets change over time.

Data Lake 106

Data Lake Snapshot Metadata Data Architecture 106

CIO Business Intelligence

DECEMBER 20, 2024

As part of its storytelling ethos, the flight-status LLM will specify, for example, which precise weather event may be affecting a delayed flight and provide quick and useful information to customers about next actions.

IT 131

IT Unstructured Data Experimentation Data Lake 131

DataKitchen

AUGUST 19, 2021

Figure 3 shows an example processing architecture with data flowing in from internal and external sources. Each data source is updated on its own schedule, for example, daily, weekly or monthly. The data scientists and analysts have what they need to build analytics for the user. The new Recipes run, and BOOM! Conclusion.

Data Warehouse 246

Data Warehouse Data Lake Manufacturing Testing 246

Sisense

DECEMBER 23, 2019

AI and ML are the only ways to derive value from massive data lakes, cloud-native data warehouses, and other huge stores of information. The right data and analytics platform can help you bridge the gap between your current AI and analytics paradigm and where you want your company to be in the future. .

Data Lake 86

Data Lake Machine Learning Data Warehouse Digital Transformation 86

CDW Research Hub

APRIL 18, 2022

Many security operations centers (SOCs) are finding themselves overwhelmed by telemetry data to correlate, a proliferation of tools, expanding attack surfaces that are challenging to monitor and secure, and data silos across security and IT products, security information and event management (SIEM) systems, enterprise data, and threat intelligence.

Data Lake 75

Data Lake Data Collection Enterprise Risk 75

David Menninger's Analyst Perspectives

OCTOBER 31, 2024

I previously wrote about the importance of open table formats to the evolution of data lakes into data lakehouses. The concept of the data lake was initially proposed as a single environment where data could be combined from multiple sources to be stored and processed to enable analysis by multiple users for multiple purposes.

Data Lake 130

Data Lake Unstructured Data Data Warehouse Software 130

AWS Big Data

OCTOBER 30, 2024

Overview of the auto-copy feature in Amazon Redshift The auto-copy feature in Amazon Redshift leverages the S3 event integration to automatically load data into Amazon Redshift and simplifies automatic data loading from Amazon S3 with a simple SQL command. You can enable Amazon Redshift auto-copy by creating auto-copy jobs.

Data Warehouse 89

Data Warehouse Sales Data Lake Recreation/Entertainment 89

AWS Big Data

NOVEMBER 11, 2024

Disaster recovery is vital for organizations, offering a proactive strategy to mitigate the impact of unforeseen events like system failures, natural disasters, or cyberattacks. In the event of data loss or system failure, these snapshots will be used to restore the domain to a specific point in time.

Snapshot 98

Snapshot Strategy Dashboards Data Lake 98

AWS Big Data

MARCH 29, 2024

Real-time data streaming and event processing present scalability and management challenges. AWS offers a broad selection of managed real-time data streaming services to effortlessly run these workloads at any scale. We also lacked a data buffer, risking potential data loss during outages.

Data-driven 104

Data-driven Cost-Benefit Metrics Management 104

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 91

Data Lake Metadata Testing Data Warehouse 91

Jet Global

JULY 2, 2019

To address the flood of data and the needs of enterprise businesses to store, sort, and analyze that data, a new storage solution has evolved: the data lake. What’s in a Data Lake? Data warehouses do a great job of standardizing data from disparate sources for analysis. Taking a Dip.

Data Lake 73

Data Lake Data Warehouse Big Data Machine Learning 73

AWS Big Data

FEBRUARY 14, 2023

Organizations have chosen to build data lakes on top of Amazon Simple Storage Service (Amazon S3) for many years. A data lake is the most popular choice for organizations to store all their organizational data generated by different teams, across business domains, from all different formats, and even over history.

Data Lake 89

Data Lake Statistics Data Architecture Finance 89

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

APRIL 27, 2023

Amazon Athena supports the MERGE command on Apache Iceberg tables, which allows you to perform inserts, updates, and deletes in your data lake at scale using familiar SQL statements that are compliant with ACID (Atomic, Consistent, Isolated, Durable).

Data Lake 81

Data Lake Snapshot Optimization Data Transformation 81

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 81

Data Lake Testing Snapshot Sales 81

AWS Big Data

AUGUST 31, 2023

It also helps you to securely access your data in operational databases, data lakes or third-party datasets with minimal movement or copying. Amazon S3 Event Notifications is an Amazon S3 feature that you can enable in order to receive notifications when specific events occur in your S3 bucket.

Data Warehouse 96

Data Warehouse Data-driven Testing Business Intelligence 96

AWS Big Data

JUNE 23, 2023

Imperva Cloud WAF protects hundreds of thousands of websites and blocks billions of security events every day. 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.

Data Lake 76

Data Lake Dashboards Cost-Benefit Data Warehouse 76

AWS Big Data

DECEMBER 4, 2024

Open table formats are emerging in the rapidly evolving domain of big data management, fundamentally altering the landscape of data storage and analysis. By providing a standardized framework for data representation, open table formats break down data silos, enhance data quality, and accelerate analytics at scale.

Snapshot 84

Snapshot Metadata Data Lake Optimization 84

AWS Big Data

DECEMBER 12, 2024

In the context of comprehensive data governance, Amazon DataZone offers organization-wide data lineage visualization using Amazon Web Services (AWS) services, while dbt provides project-level lineage through model analysis and supports cross-project integration between data lakes and warehouses. where(outV().as('a')),

Snapshot 79

Snapshot Recreation/Entertainment Experimentation Data Lake 79

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. For more information, see Changing the default settings for your data lake.

Data Lake 88

Data Lake Visualization Dashboards Insurance 88

AWS Big Data

JUNE 19, 2023

Security Lake automatically centralizes security data from cloud, on-premises, and custom sources into a purpose-built data lake stored in your account. With Security Lake, you can get a more complete understanding of your security data across your entire organization.

Publishing 96

Publishing Dashboards Visualization Management 96

AWS Big Data

APRIL 18, 2024

The Salesforce Trust Intelligence Platform (TIP) log platform team is responsible for data pipeline and data lake infrastructure, providing log ingestion, normalization, persistence, search, and detection capability to ensure Salesforce is safe from threat actors. Headquartered in San Francisco, Salesforce, Inc.

Optimization 101

Optimization Data Lake Management Key Performance Indicator 101

AWS Big Data

OCTOBER 3, 2023

In our previous post Improve operational efficiencies of Apache Iceberg tables built on Amazon S3 data lakes , we discussed how you can implement solutions to improve operational efficiencies of your Amazon Simple Storage Service (Amazon S3) data lake that is using the Apache Iceberg open table format and running on the Amazon EMR big data platform.

Optimization 122

Optimization Snapshot Data Lake Metadata 122

AWS Big Data

JANUARY 9, 2025

These features allow efficient data corrections, gap-filling in time series, and historical data updates without disrupting ongoing analyses or compromising data integrity. Unlike direct Amazon S3 access, Iceberg supports these operations on petabyte-scale data lakes without requiring complex custom code.

Metadata 107

Metadata Snapshot Cost-Benefit Optimization 107

AWS Big Data

JANUARY 15, 2025

cycle_end"', "sagemakedatalakeenvironment_sub_db", ctas_approach=False) A similar approach is used to connect to shared data from Amazon Redshift, which is also shared using Amazon DataZone. datazone_env_twinsimsilverdata"."cycle_end";') She can reached via LinkedIn. Siamak Nariman is a Senior Product Manager at AWS.

IoT 101

IoT Machine Learning Metadata Data-driven 101

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 125

Data Lake Analytics Dashboards Metrics 125

David Menninger's Analyst Perspectives

MAY 20, 2019

This innovation means that virtually any appropriately designed device can generate and transmit data about its operations, which can facilitate monitoring and a range of automatic functions.

Internet of Things 208

Internet of Things IoT Analytics Optimization 208

AWS Big Data

MAY 29, 2024

To enable access control with Lake Formation for Redshift tables, we use data sharing in Lake Formation. Data access requests by the specific users are logged to CloudTrail. Later in this post, we also briefly touch upon using CloudTrail Lake to query the data access events.

Data Lake 94

Data Lake Enterprise Management Business Intelligence 94