AWS Big Data

DECEMBER 17, 2024

Amazon Redshift , launched in 2013, has undergone significant evolution since its inception, allowing customers to expand the horizons of data warehousing and SQL analytics. Industry-leading price-performance Amazon Redshift offers up to three times better price-performance than alternative cloud data warehouses.

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Data Lake Data Warehouse Data-driven Optimization 98

AWS Big Data

APRIL 30, 2024

Today, we’re excited to announce general availability of Amazon Q data integration in AWS Glue. Amazon Q data integration, a new generative AI-powered capability of Amazon Q Developer , enables you to build data integration pipelines using natural language.

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Data Integration Data Lake Data Warehouse Software 128

AWS Big Data

APRIL 3, 2024

Businesses are constantly evolving, and data leaders are challenged every day to meet new requirements. licensed, 100% open-source data table format that helps simplify data processing on large datasets stored in data lakes. This post is co-written with Andries Engelbrecht and Scott Teal from Snowflake.

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Data Lake Snapshot Metadata Data Architecture 127

AWS Big Data

AUGUST 15, 2024

Unlocking the true value of data often gets impeded by siloed information. Traditional data management—wherein each business unit ingests raw data in separate data lakes or warehouses—hinders visibility and cross-functional analysis. Amazon DataZone natively supports data sharing for Amazon Redshift data assets.

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Data Lake Data Warehouse Data Governance Publishing 122

AWS Big Data

MARCH 13, 2025

Amazon SageMaker brings together widely adopted AWS machine learning (ML) and analytics capabilities and addresses the challenges of harnessing organizational data for analytics and AI through unified access to tools and data with governance built in. The data analyst then discovers it and creates a comprehensive view of their market.

Analytics 113

Analytics Data Lake Data Warehouse Data-driven 113

AWS Big Data

SEPTEMBER 4, 2024

Effective data analytics relies on seamlessly integrating data from disparate systems through identifying, gathering, cleansing, and combining relevant data into a unified format. This solution also allows you to update certain fields of the account object in the data lake and push it back to Salesforce.

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Data Integration Data Lake Data-driven Cost-Benefit 109

AWS Big Data

AUGUST 31, 2023

Amazon Redshift is a fast, fully managed petabyte-scale cloud data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing business intelligence (BI) tools. Amazon Redshift also supports querying nested data with complex data types such as struct, array, and map.

Data Lake 119

Data Lake Data Warehouse Metadata Data Architecture 119

CIO Business Intelligence

FEBRUARY 27, 2025

A high hurdle many enterprises have yet to overcome is accessing mainframe data via the cloud. Data professionals need to access and work with this information for businesses to run efficiently, and to make strategic forecasting decisions through AI-powered data models.

Metadata 98

Metadata Data Lake Cost-Benefit Forecasting 98

CIO Business Intelligence

DECEMBER 20, 2024

Data architecture definition Data architecture describes the structure of an organizations logical and physical data assets, and data management resources, according to The Open Group Architecture Framework (TOGAF). An organizations data architecture is the purview of data architects. Cloud storage.

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Data Architecture Management Consulting Internet of Things 122

AWS Big Data

DECEMBER 4, 2024

They’re taking data they’ve historically used for analytics or business reporting and putting it to work in machine learning (ML) models and AI-powered applications. This innovation drives an important change: you’ll no longer have to copy or move data between data lake and data warehouses.

Data Analytics 104

Data Analytics Analytics Data Lake Data Quality 104

AWS Big Data

JUNE 10, 2024

A modern data strategy redefines and enables sharing data across the enterprise and allows for both reading and writing of a singular instance of the data using an open table format. Why Cloudinary chose Apache Iceberg Apache Iceberg is a high-performance table format for huge analytic workloads.

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Data Lake Metadata Snapshot Analytics 126

AWS Big Data

SEPTEMBER 10, 2024

We often see requests from customers who have started their data journey by building data lakes on Microsoft Azure, to extend access to the data to AWS services. In such scenarios, data engineers face challenges in connecting and extracting data from storage containers on Microsoft Azure.

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Data Lake Metadata Management Software 111

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 116

Data Lake Marketing Data Processing Management 116

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.

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Data Lake Metadata Data Warehouse Data Processing 117

David Menninger's Analyst Perspectives

NOVEMBER 16, 2021

Talend is a data integration and management software company that offers applications for cloud computing, big data integration, application integration, data quality and master data management. Its code generation architecture uses a visual interface to create Java or SQL code.

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Management Data Warehouse Data Quality Data Integration 324

CIO Business Intelligence

APRIL 25, 2024

At Salesforce World Tour NYC today, Salesforce unveiled a new global ecosystem of technology and solution providers geared to help its customers leverage third-party data via secure, bidirectional zero-copy integrations with Salesforce Data Cloud. It works in Salesforce just like any other native Salesforce data,” Carlson said.

Data Integration 119

Data Integration Data Lake Data Warehouse Metadata 119

IBM Big Data Hub

JUNE 26, 2020

As coined by British mathematician Clive Humby, "data is the new oil." Like oil, data is valuable but it must be refined in order to provide value. Organizations need to collect, organize, and analyze their data across multi-cloud, hybrid cloud, and data lakes.

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Data Integration Data Lake Machine Learning Enterprise 107

AWS Big Data

JANUARY 15, 2025

Their terminal operations rely heavily on seamless data flows and the management of vast volumes of data. Recently, EUROGATE has developed a digital twin for its container terminal Hamburg (CTH), generating millions of data points every second from Internet of Things (IoT)devices attached to its container handling equipment (CHE).

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IoT Machine Learning Metadata Data-driven 111

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.

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Data Lake Analytics Snapshot Data Quality 98

Juice Analytics

MAY 11, 2020

In fact, the top of the list is all meat-and-potatoes data needs — reporting, dashboards, data integration, data warehousing (sorry, not data lakes), and data prep. It is everywhere, holding the data universe together, yet it manages to elude our attention and affection.

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Reporting Analytics IT Data Lake 134

DataKitchen

JANUARY 25, 2022

When internal resources fall short, companies outsource data engineering and analytics. Large enterprises integrate hundreds or thousands of asynchronous data sources into a web of pipelines that flow into visualizations and purpose-built databases that support self-service analysis. Here is where the loss of control begins.

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Consulting Testing Data Lake Data Quality 244

AWS Big Data

JULY 10, 2024

Now you can author data preparation transformations and edit them with the AWS Glue Studio visual editor. The AWS Glue Studio visual editor is a graphical interface that enables you to create, run, and monitor data integration jobs in AWS Glue. In this scenario, you’re a data analyst in this company.

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Interactive Data Integration Visualization Statistics 116

CIO Business Intelligence

APRIL 29, 2022

This would be straightforward task were it not for the fact that, during the digital-era, there has been an explosion of data – collected and stored everywhere – much of it poorly governed, ill-understood, and irrelevant. Data Centricity. There is evidence to suggest that there is a blind spot when it comes to data in the AI context.

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Data Governance IT Risk Data Lake 145

AWS Big Data

AUGUST 3, 2023

With the rapid growth of technology, more and more data volume is coming in many different formats—structured, semi-structured, and unstructured. Data analytics on operational data at near-real time is becoming a common need. a new version of AWS Glue that accelerates data integration workloads in AWS.

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Data Lake Visualization Dashboards Insurance 98

CIO Business Intelligence

OCTOBER 9, 2024

As the technology subsists on data, customer trust and their confidential information are at stake—and enterprises cannot afford to overlook its pitfalls. Yet, it is the quality of the data that will determine how efficient and valuable GenAI initiatives will be for organizations.

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Strategy Modeling Management Data Lake 143

AWS Big Data

JULY 29, 2024

In the era of big data, data lakes have emerged as a cornerstone for storing vast amounts of raw data in its native format. They support structured, semi-structured, and unstructured data, offering a flexible and scalable environment for data ingestion from multiple sources.

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Metadata Snapshot Data Lake Metrics 126

AWS Big Data

JANUARY 9, 2025

Iceberg offers distinct advantages through its metadata layer over Parquet, such as improved data management, performance optimization, and integration with various query engines. As mentioned earlier, 80% of quantitative research work is attributed to data management tasks.

Metadata 111

Metadata Snapshot Cost-Benefit Optimization 111

AWS Big Data

JANUARY 26, 2023

AWS Glue is a serverless, scalable data integration service that makes it easier to discover, prepare, move, and integrate data from multiple sources. AWS Glue provides an extensible architecture that enables users with different data processing use cases. as follows: # Use Glue version 3.0

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Data Lake Big Data Software Interactive 136

CIO Business Intelligence

APRIL 8, 2025

Data quality is no longer a back-office concern. As a leader, your commitment to data quality sets the tone for the entire organization, inspiring others to prioritize this crucial aspect of digital transformation. However, even the most sophisticated models and platforms can be undone by a single point of failure: poor data quality.

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Data Quality Data-driven Key Performance Indicator Metadata 102

AWS Big Data

DECEMBER 21, 2023

As the volume and complexity of analytics workloads continue to grow, customers are looking for more efficient and cost-effective ways to ingest and analyse data. AWS Glue provides both visual and code-based interfaces to make data integration effortless. Choose Save to save your job, and choose Run to run the job.

Analytics 111

Analytics IT Data Lake Visualization 111

AWS Big Data

DECEMBER 16, 2024

Third, some services require you to set up and manage compute resources used for federated connectivity, and capabilities like connection testing and data preview arent available in all services. To solve for these challenges, we launched Amazon SageMaker Lakehouse unified data connectivity. Choose Add data. Choose Save changes.

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Visualization Data Processing Testing Publishing 94

AWS Big Data

NOVEMBER 11, 2024

Snapshot and restore results in longer downtimes and greater loss of data between when the disaster event occurs and recovery. Sesha Sanjana Mylavarapu is an Associate Data Lake Consultant at AWS Professional Services. Additionally, not all workloads require RTO and RPO in minutes or less. Do not enable standby mode.

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Snapshot Strategy Dashboards Data Lake 111

AWS Big Data

JUNE 25, 2024

This post is co-authored by Vijay Gopalakrishnan, Director of Product, Salesforce Data Cloud. In today’s data-driven business landscape, organizations collect a wealth of data across various touch points and unify it in a central data warehouse or a data lake to deliver business insights.

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Data Lake Cost-Benefit Data-driven Data Warehouse 122

AWS Big Data

NOVEMBER 29, 2024

Customers often want to augment and enrich SAP source data with other non-SAP source data. Such analytic use cases can be enabled by building a data warehouse or data lake. Customers can now use the AWS Glue SAP OData connector to extract data from SAP. On your Visual Editor canvas, select your SAP sources.

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Visualization Data Processing Data-driven Cost-Benefit 105

AWS Big Data

OCTOBER 21, 2024

However, enterprises often encounter challenges with data silos, insufficient access controls, poor governance, and quality issues. Embracing data as a product is the key to address these challenges and foster a data-driven culture. These controls are designed to grant access with the right level of privileges and context.

Sales 115

Sales Data-driven Data Processing Key Performance Indicator 115

AWS Big Data

AUGUST 22, 2024

The infrastructure provides an analytics experience to hundreds of in-house analysts, data scientists, and student-facing frontend specialists. The data engineering team is on a mission to modernize its data integration platform to be agile, adaptive, and straightforward to use.

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Data Warehouse Data Lake Data Integration Management 116

AWS Big Data

JANUARY 12, 2024

In this post, we walk through a high-level architecture and a specific use case that demonstrates how you can continue to scale your organization’s data platform without needing to spend large amounts of development time to address data privacy concerns. The data will be consumed by downstream analytical processes.

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Data Lake Cost-Benefit Visualization Structured Data 119