AWS Big Data

FEBRUARY 7, 2023

This post focuses on such schema changes in file-based tables and shows how to automatically replicate the schema evolution of structured data from table formats in databases to the tables stored as files in cost-effective way. Ketan Karalkar is a Big Data Solutions Consultant at AWS.

Data Lake 71

Data Lake Testing Big Data Management 71

AWS Big Data

JANUARY 12, 2024

This solution is suitable for customers who don’t require real-time ingestion to OpenSearch Service and plan to use data integration tools that run on a schedule or are triggered through events. Before data records land on Amazon S3, we implement an ingestion layer to bring all data streams reliably and securely to the data lake.

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Data Lake Cost-Benefit Visualization Structured Data 91

AWS Big Data

JULY 31, 2023

Customers often use many SQL scripts to select and transform the data in relational databases hosted either in an on-premises environment or on AWS and use custom workflows to manage their ETL. AWS Glue is a serverless data integration and ETL service with the ability to scale on demand.

Sales 52

Sales Data Warehouse Visualization Testing 52

AWS Big Data

MARCH 27, 2024

AWS has invested in a zero-ETL (extract, transform, and load) future so that builders can focus more on creating value from data, instead of having to spend time preparing data for analysis. The Data Catalog objects are listed under the awsdatacatalog database. FHIR data stored in AWS HealthLake is highly nested.

Analytics 88

Analytics Data Analytics Data Warehouse Data Lake 88

AWS Big Data

DECEMBER 15, 2023

We use the following services: Amazon Redshift is a cloud data warehousing service that uses SQL to analyze structured and semi-structured data across data warehouses, operational databases, and data lakes, using AWS-designed hardware and machine learning (ML) to deliver the best price/performance at any scale.

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Data Lake Data Warehouse Big Data Structured Data 100

AWS Big Data

NOVEMBER 13, 2023

Amazon Redshift is a fully managed data warehousing service that offers both provisioned and serverless options, making it more efficient to run and scale analytics without having to manage your data warehouse. These query patterns and concurrency were unpredictable in nature.

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Data Warehouse Data Lake Analytics Data Science 89

FineReport

JULY 18, 2022

FineBI is a business intelligence tool for self-service big data analysis and data visualization. Except for the rows and columns, you can also display your data through graphs and charts. However, it has limitations on rows and columns, making it not suitable for analyzing a large amount of data. Free Download.

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Forecasting Dashboards Visualization Statistics 52

AWS Big Data

MARCH 26, 2024

Data ingestion You have to build ingestion pipelines based on factors like types of data sources (on-premises data stores, files, SaaS applications, third-party data), and flow of data (unbounded streams or batch data). Data exploration Data exploration helps unearth inconsistencies, outliers, or errors.

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Data Strategy Strategy Data Warehouse Prescriptive Analytics 67

Ontotext

MAY 30, 2019

It won’t protect you from issues of data quality or from service failures. […] But Linked Data does provide you with new ways to manage these existing data-management challenges. 6 Linked Data, Structured Data on the Web. Linked Data and Volume.

Cost-Benefit 87

Cost-Benefit Technology Big Data Metadata 87

Cloudera

SEPTEMBER 6, 2018

The solution combines Cloudera Enterprise , the scalable distributed platform for big data, machine learning, and analytics, with riskCanvas , the financial crime software suite from Booz Allen Hamilton. It supports a variety of storage engines that can handle raw files, structured data (tables), and unstructured data.

Machine Learning 40

Machine Learning Risk Big Data Unstructured Data 40

Ontotext

MAY 30, 2019

It won’t protect you from issues of data quality or from service failures. […] But Linked Data does provide you with new ways to manage these existing data-management challenges. 6 Linked Data, Structured Data on the Web. Linked Data and Volume.

Cost-Benefit 75

Cost-Benefit Technology Big Data Metadata 75

Sisense

JULY 22, 2020

In all cases the data will eventually be loaded into a different place, so it can be managed, and organized, using a package such as Sisense for Cloud Data Teams. Using data pipelines and data integration between data storage tools, engineers perform ETL (Extract, transform and load).

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Slice and Dice Digital Transformation Data Warehouse Data Lake 98

IBM Big Data Hub

JUNE 26, 2023

From data integration and management to applying AI to its business process and planning, Yanfeng Auto has been actively co-creating with IBM technical and business experts to turn technologies to tangible business values. The model has learned the rules behind the internal orders corresponding to general orders.

Manufacturing 63

Manufacturing Software Optimization Digital Transformation 63

AWS Big Data

FEBRUARY 22, 2023

Data analytic challenges As an ecommerce company, Ruparupa produces a lot of data from their ecommerce website, their inventory systems, and distribution and finance applications. The data can be structured data from existing systems, and can also be unstructured or semi-structured data from their customer interactions.

Data Lake 52

Data Lake Dashboards Cost-Benefit Metadata 52

AWS Big Data

JULY 12, 2023

Etleap integrates key Amazon Redshift features into its product, such as streaming ingestion , Redshift Serverless , and data sharing. In Etleap, pre-load transformations are primarily used for cleaning and structuring data, whereas post-load SQL transformations enable multi-table joins and dataset aggregations.

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Data Warehouse Modeling Dashboards Data Lake 52

erwin

AUGUST 31, 2023

Let’s explore the continued relevance of data modeling and its journey through history, challenges faced, adaptations made, and its pivotal role in the new age of data platforms, AI, and democratized data access. Relational databases adapt to handle web-scale data.

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Data-driven Modeling Enterprise Structured Data 98