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

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

The Analytics specialty practice of AWS Professional Services (AWS ProServe) helps customers across the globe with modern data architecture implementations on the AWS Cloud. Of those tables, some are larger (such as in terms of record volume) than others, and some are updated more frequently than others.

Data Lake 111

Data Lake Data Processing Metadata Snapshot 111

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 Sales 103

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

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

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

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. Choose Register location.

Management 115

Management Data Lake Sales Data Warehouse 115

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

CIO Business Intelligence

AUGUST 3, 2023

Using SnapLogic ’s integration platform freed his developers from manually building APIs (application programming interfaces) for each data source, and helped with cleaning the data and storing it quickly and efficiently in the warehouse, he says. Without those templates, it’s hard to add such information after the fact.”

Analytics 98

Analytics Data Lake Metadata Cost-Benefit 98

DataKitchen

OCTOBER 11, 2021

First, you must understand the existing challenges of the data team, including the data architecture and end-to-end toolchain. Figure 1 shows a manually executed data analytics pipeline. Figure 2: Example data pipeline with DataOps automation. The automated orchestration published the data to an AWS S3 Data Lake.

Testing 152

Testing Metadata Dashboards Statistics 152

Cloudera

JANUARY 30, 2023

Have you ever considered how much data a single person generates in a day? Every web document, scanned document, email, social media post, and media download? One estimate states that “ on average, people will produce 463 exabytes of data per day by 2025.” Now consider that the federal government has approximately 2.8

IoT 83

IoT Data Architecture Data Lake Machine Learning 83

AWS Big Data

FEBRUARY 8, 2023

For more information, refer to Download and Installation of NW RFC SDK. XXX.XX.XXX mkdir aws_to_sap sudo yum install git git clone [link] Set up the SAP SDK on an Amazon EC2 machine To set up the SAP SDK, complete the following steps: Download the nwrfcsdk.zip file from a licensed SAP source to your local machine. pem" ec2-user@10.XXX.XX.XXX

Testing 108

Testing Data Integration Data Lake Enterprise 108

AWS Big Data

AUGUST 1, 2024

Success criteria alignment by all stakeholders (producers, consumers, operators, auditors) is key for successful transition to a new Amazon Redshift modern data architecture. The success criteria are the key performance indicators (KPIs) for each component of the data workflow. You can import this in Query Editor V2.0.

Data Warehouse 115

Data Warehouse KPI Optimization Cost-Benefit 115

AWS Big Data

SEPTEMBER 21, 2023

Integrating Satori with Amazon Redshift accelerates organizations’ ability to make use of their data to generate business value. This faster time-to-value is achieved by enabling companies to manage data access more efficiently and effectively. To learn more, start a free trial or request a demo meeting.

Data Warehouse 115

Data Warehouse Interactive Data Architecture Data-driven 115

Cloudera

NOVEMBER 27, 2023

million downloads, 21,000 GitHub stars, and 1,600 code contributions. Consider a few factors: First, many have been using Kafka as long-term storage and have seen their clusters grow without the same elasticity and accessibility one would expect from a modern data lake. No vendors pretending OS tech was their own secret sauce.

Advertising 84

Advertising Data Lake Data Warehouse ROI 84

AWS Big Data

FEBRUARY 6, 2023

Refactoring coupled compute and storage to a decoupling architecture is a modern data solution. It enables compute such as EMR instances and storage such as Amazon Simple Storage Service (Amazon S3) data lakes to scale. George Zhao is a Senior Data Architect at AWS ProServe.

Cost-Benefit 52

Cost-Benefit Data Lake Dashboards Big Data 52

Cloudera

AUGUST 21, 2020

Data-in-motion is predominantly about streaming data so enterprises typically have two different ways or binary ways of looking at data. To find out more about Cloudera’s data-in-motion philosophy, you can download a copy o f A Blueprint for Enterprise-wide Streaming Data Architecture.

Enterprise 62

Enterprise Data Lake Strategy Metadata 62

Jet Global

OCTOBER 1, 2024

Trino allows users to run ad hoc queries across massive datasets, making real-time decision-making a reality without needing extensive data transformations. This is particularly valuable for teams that require instant answers from their data. Data Lake Analytics: Trino doesn’t just stop at databases.

Dashboards 52

Dashboards Data Lake Reporting Cost-Benefit 52

Cloudera

NOVEMBER 21, 2024

Data Interoperability With Lower TCO : Cloudera Data Engineering has native support for Apache Iceberg – the leading open table format purpose-built for managing exabyte-scale data lakes and delivering high-performance queries. Ready to Explore?

Cost-Benefit 85

Cost-Benefit Data Lake Interactive Forecasting 85

AWS Big Data

MAY 9, 2025

Many organizations build and operate enterprise-wide data mesh architectures using the AWS Glue Data Catalog and AWS Lake Formation for their Amazon Simple Storage Service (Amazon S3) based data lakes. AWS Glue is a serverless service that makes data integration simpler, faster, and cheaper.

Data Lake 62

Data Lake Data Warehouse Marketing Management 62

AWS Big Data

MAY 12, 2025

Streaming pipelines used Spark Streaming to ingest real-time data from Kafka, writing raw datasets to an Amazon Simple Storage Service (Amazon S3) data lake while simultaneously loading them into BigQuery and Google Cloud Storage to build logical data layers. but some of AppsFlyers workloads used earlier versions.

Metrics 85

Metrics Cost-Benefit Metadata Data Lake 85