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. For more details, refer to Spark Release 3.3.0 AWS Glue Data Catalog client 3.6.0

Testing 73

Testing Data Lake Cost-Benefit Data Integration 73

AWS Big Data

AUGUST 22, 2023

This post proposes an automated solution by using AWS Glue for automating the PostgreSQL data archiving and restoration process, thereby streamlining the entire procedure. You can create an AWS Cloud9 environment in one of the private subnets available in your AWS account to set up test data in Amazon RDS. modules, respectively.

Data Processing 84

Data Processing Testing Data Lake Data Integration 84

AWS Big Data

JANUARY 30, 2023

Many customers need an ACID transaction (atomic, consistent, isolated, durable) data lake that can log change data capture (CDC) from operational data sources. There is also demand for merging real-time data into batch data. Delta Lake framework provides these two capabilities. option("header",True).schema(schema).load("s3://"+

Insurance 75

Insurance Data Lake Data-driven Management 75

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. To create an AWS HealthLake data store, refer to Getting started with AWS HealthLake. reference", SUBSTRING(a."patient"."reference",

Data Analytics 87

Data Analytics Analytics Data Warehouse Data Lake 87

AWS Big Data

MAY 30, 2023

Customers have been using data warehousing solutions to perform their traditional analytics tasks. Traditional batch ingestion and processing pipelines that involve operations such as data cleaning and joining with reference data are straightforward to create and cost-efficient to maintain.

Data Lake 76

Data Lake Data Analytics Analytics Data Processing 76

AWS Big Data

DECEMBER 13, 2023

Apache Kafka is an open-source distributed event streaming platform used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications. To see how to manage redshift cluster security group, refer Managing VPC security groups for a cluster.

Data Warehouse 94

Data Warehouse Snapshot Data Processing Management 94

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 upstream data sources constitute the data producer components.

Data Warehouse 88

Data Warehouse Data Lake Analytics Data Science 88

AWS Big Data

NOVEMBER 30, 2023

In this post, we explore how to use the AWS Glue native connector for Teradata Vantage to streamline data integrations and unlock the full potential of your data. Businesses often rely on Amazon Simple Storage Service (Amazon S3) for storing large amounts of data from various data sources in a cost-effective and secure manner.

IT 92

IT Visualization Machine Learning Data Integration 92

AWS Big Data

JUNE 12, 2023

Organizations across the world are increasingly relying on streaming data, and there is a growing need for real-time data analytics, considering the growing velocity and volume of data being collected. Refer appendix section for more information on this feature. Refer to the first stack’s output.

Management 75

Management Metadata Testing Internet of Things 75

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.

Data Strategy 66

Data Strategy Strategy Data Warehouse Prescriptive Analytics 66

AWS Big Data

JULY 12, 2023

Amazon Redshift helps you break down the data silos and allows you to run unified, self-service, real-time, and predictive analytics on all data across your operational databases, data lake, data warehouse, and third-party datasets with built-in governance. This is often a laborious and error-prone process.

Data Warehouse 52

Data Warehouse Modeling Dashboards Data Lake 52

AWS Big Data

JUNE 7, 2023

This data needs to be ingested into a data lake, transformed, and made available for analytics, machine learning (ML), and visualization. For this, Cargotec built an Amazon Simple Storage Service (Amazon S3) data lake and cataloged the data assets in AWS Glue Data Catalog. mode('overwrite').save(output_path

Metadata 55

Metadata Data Lake Machine Learning Big Data 55

AWS Big Data

JULY 13, 2023

Basic formatting and readability of the data is standardized here. The jobs run on a scheduled basis, according to the upstream data availability (which currently is daily). Users are able to manually upload reference files (CSV and Excel format) via the Amazon Web Services console directly to the Amazon S3 buckets.

Optimization 87

Optimization B2B Data Quality Sales 87

CIO Business Intelligence

MARCH 22, 2022

Which type(s) of storage consolidation you use depends on the data you generate and collect. . One option is a data lake—on-premises or in the cloud—that stores unprocessed data in any type of format, structured or unstructured, and can be queried in aggregate. Set up unified data governance rules and processes.

Analytics 114

Analytics Key Performance Indicator Data Warehouse Data-driven 114

Ontotext

FEBRUARY 26, 2024

Firstly, on the data maturity spectrum, the vast majority of organizations I’ve spoken with are stuck in the information stage. They have massive amounts of data they’re collecting and storing in their relational databases, document stores, data lakes, and data warehouses. RDF vs LPG?

Technology 52

Technology Cost-Benefit Data-driven Metadata 52

AWS Big Data

DECEMBER 18, 2023

Sessions ANT203 | What’s new in Amazon Redshift Watch this session to learn about the newest innovations within Amazon Redshift—the petabyte-scale AWS Cloud data warehousing solution. Easily build and train machine learning models using SQL within Amazon Redshift to generate predictive analytics and propel data-driven decision-making.

Data Warehouse 95

Data Warehouse Machine Learning Data-driven Data Lake 95

IBM Big Data Hub

AUGUST 4, 2023

In turn, they both must also have the data literacy skills to be able to verify the data’s accuracy, ensure its security, and provide or follow guidance on when and how it should be used. Then, it applies these insights to automate and orchestrate the data lifecycle.

Data Architecture 64

Data Architecture Data Lake Machine Learning Data Governance 64

Jet Global

MAY 9, 2024

A data pipeline is a series of processes that move raw data from one or more sources to one or more destinations, often transforming and processing the data along the way. Data pipelines support data science and business intelligence projects by providing data engineers with high-quality, consistent, and easily accessible data.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52