AWS Big Data

OCTOBER 1, 2024

Amazon Redshift enables you to efficiently query and retrieve structured and semi-structured data from open format files in Amazon S3 data lake without having to load the data into Amazon Redshift tables. Amazon Redshift extends SQL capabilities to your data lake, enabling you to run analytical queries.

Data Lake 111

Data Lake Statistics Broadcasting Optimization 111

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 128

Data Lake Metadata Statistics Optimization 128

AWS Big Data

JUNE 10, 2024

Solving the small file problem and improving query performance In modern data architectures, stream processing engines such as Amazon EMR are often used to ingest continuous streams of data into data lakes using Apache Iceberg. The following table shows the cost and time for each query and product. 5 seconds $0.08

Data Lake 125

Data Lake Metadata Snapshot Analytics 125

AWS Big Data

DECEMBER 4, 2024

Collaborate and build faster using familiar AWS tools for model development, generative AI, data processing, and SQL analytics with Amazon Q Developer , the most capable generative AI assistant for software development, helping you along the way. The tools to transform your business are here.

Data Analytics 92

Data Analytics Analytics Data Lake Data Quality 92

AWS Big Data

FEBRUARY 26, 2025

The Gartner Magic Quadrant evaluates 20 data integration tool vendors based on two axesAbility to Execute and Completeness of Vision. Discover, prepare, and integrate all your data at any scale AWS Glue is a fully managed, serverless data integration service that simplifies data preparation and transformation across diverse data sources.

Data Integration 87

Data Integration Data Lake Data Warehouse Unstructured Data 87

AWS Big Data

JULY 20, 2023

With data becoming the driving force behind many industries today, having a modern data architecture is pivotal for organizations to be successful. In this post, we describe Orca’s journey building a transactional data lake using Amazon Simple Storage Service (Amazon S3), Apache Iceberg, and AWS Analytics.

Data Lake 97

Data Lake Analytics Snapshot Data Quality 97

CIO Business Intelligence

MARCH 9, 2022

However, they do contain effective data management, organization, and integrity capabilities. As a result, users can easily find what they need, and organizations avoid the operational and cost burdens of storing unneeded or duplicate data copies. Warehouse, data lake convergence. Meet the data lakehouse.

Data Lake 119

Data Lake Unstructured Data Data Warehouse Big Data 119

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 117

Metadata Data Warehouse Big Data Data Lake 117

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 129

Data Lake Analytics Dashboards Metrics 129

AWS Big Data

OCTOBER 30, 2024

He has over 13 years of professional experience building and optimizing enterprise data warehouses and is passionate about enabling customers to realize the power of their data. He specializes in migrating enterprise data warehouses to AWS Modern Data Architecture.

Data Warehouse 96

Data Warehouse Sales Data Lake Recreation/Entertainment 96

CIO Business Intelligence

OCTOBER 13, 2023

Data architecture is a complex and varied field and different organizations and industries have unique needs when it comes to their data architects. Solutions data architect: These individuals design and implement data solutions for specific business needs, including data warehouses, data marts, and data lakes.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

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. He specializes in migrating enterprise data warehouses to AWS Modern Data Architecture.

Data Warehouse 102

Data Warehouse Reporting Big Data Data Lake 102

DataKitchen

JANUARY 3, 2022

They are less oriented toward delivering customer value and more focused on servicing their internal process or internal software development lifecycle. There’s a recent trend toward people creating data lake or data warehouse patterns and calling it data enablement or a data hub. DataOps Process Hub.

Business Analytics 245

Business Analytics Analytics Testing Dashboards 245

AWS Big Data

JANUARY 12, 2024

The architecture is comprised of a number of components: Source data Data may be coming from many tens to hundreds of sources, including databases, file transfers, logs, software as a service (SaaS) applications, and more. Amazon AppFlow can be used to transfer data from different SaaS applications to a data lake.

Data Lake 114

Data Lake Cost-Benefit Visualization Structured Data 114

Cloudera

JUNE 30, 2022

We are excited to announce the general availability of Apache Iceberg in Cloudera Data Platform (CDP). Iceberg is a 100% open table format, developed through the Apache Software Foundation , and helps users avoid vendor lock-in. We selected change data capture as our first use case on Iceberg.

Data Lake 88

Data Lake Data Warehouse Data Architecture Metadata 88

BI-Survey

AUGUST 21, 2020

It is noteworthy that business users in particular consider the inability to provide required data and the lack of user acceptance as even more important than enhanced self-service. In particular executives (31 percent) and business intelligence/analytics teams (30 percent) agree that software licenses are too expensive in general.

Data Warehouse 98

Data Warehouse Data Lake Data Governance Data Architecture 98

AWS Big Data

NOVEMBER 29, 2023

Zero-ETL integration also enables you to load and analyze data from multiple operational database clusters in a new or existing Amazon Redshift instance to derive holistic insights across many applications. Use one click to access your data lake tables using auto-mounted AWS Glue data catalogs on Amazon Redshift for a simplified experience.

Data Warehouse 120

Data Warehouse Analytics Data Lake Machine Learning 120

CIO Business Intelligence

APRIL 12, 2023

After walking his executive team through the data hops, flows, integrations, and processing across different ingestion software, databases, and analytical platforms, they were shocked by the complexity of their current data architecture and technology stack. It isn’t easy.

Machine Learning 145

Machine Learning Cost-Benefit Data-driven Strategy 145

AWS Big Data

JANUARY 6, 2025

In this post, we show you how to establish the data ingestion pipeline between Google Analytics 4, Google Sheets, and an Amazon Redshift Serverless workgroup. 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 97

Analytics Data Warehouse Metrics Big Data 97

DataKitchen

JUNE 12, 2023

We had been talking about “Agile Analytic Operations,” “DevOps for Data Teams,” and “Lean Manufacturing For Data,” but the concept was hard to get across and communicate. I spent much time de-categorizing DataOps: we are not discussing ETL, Data Lake, or Data Science.

Testing 130

Testing Dashboards Data Lake Data Science 130

CIO Business Intelligence

MAY 21, 2024

Real-Time Intelligence, on the other hand, takes that further by supporting data in AWS, Google Cloud Platform, Kafka installations, and on-prem installations. “We We introduced the Real-Time Hub,” says Arun Ulagaratchagan, CVP, Azure Data at Microsoft. You can monitor and act on the data and you can set thresholds.”

Broadcasting 126

Broadcasting Recreation/Entertainment Manufacturing Data Lake 126

AWS Big Data

MAY 30, 2024

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.

Data Warehouse 106

Data Warehouse Data Lake Cost-Benefit Structured Data 106

CIO Business Intelligence

JUNE 28, 2023

The initial stage involved establishing the data architecture, which provided the ability to handle the data more effectively and systematically. “We He points to cost savings from the reduction in laboratory tests, formulations, external software licenses, and the optimization of activities.

Digital Transformation 105

Digital Transformation Cost-Benefit Informatics Data mining 105

BizAcuity

NOVEMBER 22, 2022

In today’s world that is largely data-driven, organizations depend on data for their success and survival, and therefore need robust, scalable data architecture to handle their data needs. This typically requires a data warehouse for analytics needs that is able to ingest and handle real time data of huge volumes.

Data Warehouse 98

Data Warehouse Cost-Benefit Data Lake Internet of Things 98

AWS Big Data

AUGUST 2, 2023

Although this approach may yield useful results, CEMS requires specific sensing equipment for each greenhouse gas to be measured, requires supporting hardware and software, and is typically more suitable for Environment Health and Safety applications of centralized emission sources.

Data Lake 86

Data Lake Measurement Visualization Data Architecture 86

CIO Business Intelligence

APRIL 24, 2024

In fact, AMA collects a huge amount of structured and unstructured data from bins, collection vehicles, facilities, and user reports, and until now, this data has remained disconnected, managed by disparate systems and interfaces, through Excel spreadsheets.

Digital Transformation 105

Digital Transformation Business Intelligence Unstructured Data Data Lake 105

AWS Big Data

APRIL 19, 2023

Building an optimal data system As data grows at an extraordinary rate, data proliferation across your data stores, data warehouse, and data lakes can become a challenge. This performance innovation allows Nasdaq to have a multi-use data lake between teams.

Data Warehouse 59

Data Warehouse Data Lake Unstructured Data Optimization 59

CIO Business Intelligence

SEPTEMBER 21, 2023

They can code, write poetry, draw in any art style, create PowerPoint slides and website mockups, write marketing copy and emails, and find new vulnerabilities in software and plot holes in unpublished novels. In a recent report, he estimated that gen AI software revenues will grow from $3.7 Gen AI took a few months.

Enterprise 130

Enterprise Consulting Modeling Cost-Benefit 130

AWS Big Data

OCTOBER 25, 2023

After decades of digitizing everything in your enterprise, you may have an enormous amount of data, but with dormant value. However, with the help of AI and machine learning (ML), new software tools are now available to unearth the value of unstructured data. These services write the output to a data lake.

Unstructured Data 132

Unstructured Data Metadata Management Analytics 132

CIO Business Intelligence

MAY 12, 2022

The biggest challenge for any big enterprise is organizing the data that has organically grown across the organization over the last several years. Everyone has data lakes, data ponds – whatever you want to call them. How do you get your arms around all the data you have? So, real-time data has become air.

Testing 98

Testing Advertising Data Lake Marketing 98

IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

AWS Big Data

MAY 18, 2023

It’s even harder when your organization is dealing with silos that impede data access across different data stores. Seamless data integration is a key requirement in a modern data architecture to break down data silos. Noritaka Sekiyama is a Principal Big Data Architect on the AWS Glue team.

Testing 95

Testing Data Lake Cost-Benefit Data Integration 95

TDAN

JUNE 16, 2020

When companies embark on a journey of becoming data-driven, usually, this goes hand in and with using new technologies and concepts such as AI and data lakes or Hadoop and IoT. Suddenly, the data warehouse team and their software are not the only ones anymore that turn data […].

Data Warehouse 52

Data Warehouse Data-driven Data Lake IoT 52

AWS Big Data

JANUARY 8, 2024

Kinesis Data Streams has native integrations with other AWS services such as AWS Glue and Amazon EventBridge to build real-time streaming applications on AWS. Refer to Amazon Kinesis Data Streams integrations for additional details. When building event-driven microservices, customers want to achieve 1.

Analytics 129

Analytics IoT Data-driven Snapshot 129

AWS Big Data

JANUARY 22, 2024

Cost and resource efficiency – This is an area where Acast observed a reduction in data duplication, and therefore cost reduction (in some accounts, removing the copy of data 100%), by reading data across accounts while enabling scaling. In this approach, teams responsible for generating data are referred to as producers.

Data-driven 107

Data-driven Advertising Metadata Data Architecture 107

Octopai

AUGUST 24, 2022

The term “mesh”’s latest appearance is in the concept of data mesh , coined by Zhamak Dehghani in her landmark 2019 article, How to Move Beyond a Monolithic Data Lake to a Distributed Data Mesh. How is data mesh a mesh? . is that they are a team in charge of data product.

Strategy 92

Strategy Data-driven Sales Enterprise 92

Alation

FEBRUARY 20, 2020

Instead it gives anyone in your company who works with data, the ability to easily access, search, discover, share opinions, and collaborate on that data. Categorization organizes the marketplace to simplify browsing (either by data asset type or topic). But one that takes inspiration from consumer software.

Data Warehouse 52

Data Warehouse Metadata Data Lake Data Architecture 52