AWS Big Data

JANUARY 26, 2023

AWS Glue provides an extensible architecture that enables users with different data processing use cases. A common use case is building data lakes on Amazon Simple Storage Service (Amazon S3) using AWS Glue extract, transform, and load (ETL) jobs. AWS Glue version Hudi Delta Lake Iceberg AWS Glue 3.0 AWS Glue 4.0

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Data Lake Big Data Software Interactive 136

AWS Big Data

OCTOBER 30, 2024

Amazon Redshift is a fast, scalable, secure, and fully managed cloud data warehouse that makes it simple and cost-effective to analyze your data using standard SQL and your existing business intelligence (BI) tools. The S3 object path can reference a set of folders that have the same key prefix.

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Data Warehouse Sales Data Lake Recreation/Entertainment 112

AWS Big Data

AUGUST 3, 2023

Data analytics on operational data at near-real time is becoming a common need. Due to the exponential growth of data volume, it has become common practice to replace read replicas with data lakes to have better scalability and performance. Apache Hudi connector for AWS Glue For this post, we use AWS Glue 4.0,

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Data Lake Visualization Dashboards Insurance 98

AWS Big Data

APRIL 11, 2023

By collecting data from store sensors using AWS IoT Core , ingesting it using AWS Lambda to Amazon Aurora Serverless , and transforming it using AWS Glue from a database to an Amazon Simple Storage Service (Amazon S3) data lake, retailers can gain deep insights into their inventory and customer behavior.

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Forecasting Management IoT Data-driven 98

AWS Big Data

MAY 29, 2024

Refer to Configure SAML and SCIM with Okta and IAM Identity Center for instructions. You need to reference the bucket name and the certificate bundle.zip file in AWS CloudFormation. Refer to the following table for a list of important parameters. In this post, we use the us-east-1 Region. In this post, we grant access to Group1.

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Data Lake Enterprise Management Business Intelligence 115

AWS Big Data

MAY 3, 2023

In today’s data-driven business environment, organizations face the challenge of efficiently preparing and transforming large amounts of data for analytics and data science purposes. Businesses need to build data warehouses and data lakes based on operational data.

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Data Lake Data Warehouse Data-driven Optimization 115

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 121

Smart Data Collective

AUGUST 17, 2022

You can safely use an Apache Kafka cluster for seamless data movement from the on-premise hardware solution to the data lake using various cloud services like Amazon’s S3 and others. It will enable you to quickly transform and load the data results into Amazon S3 data lakes or JDBC data stores.

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Data Lake Insurance Data-driven Data Processing 130

AWS Big Data

DECEMBER 16, 2024

The product data is stored on Amazon Aurora PostgreSQL-Compatible Edition. Their existing business intelligence (BI) tool runs queries on Athena. Furthermore, they have a data pipeline to perform extract, transform, and load (ETL) jobs when moving data from the Aurora PostgreSQL database cluster to other data stores.

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Visualization Data Processing Testing Publishing 95

BizAcuity

APRIL 1, 2023

Several large organizations have faltered on different stages of BI implementation, from poor data quality to the inability to scale due to larger volumes of data and extremely complex BI architecture. This is where business intelligence consulting comes into the picture. What is Business Intelligence?

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Business Intelligence Consulting KPI Data Warehouse 52

BizAcuity

JANUARY 31, 2023

Several large organizations have faltered on different stages of BI implementation, from poor data quality to the inability to scale due to larger volumes of data and extremely complex BI architecture. This is where business intelligence consulting comes into the picture. What is Business Intelligence?

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

AWS Big Data

AUGUST 27, 2024

Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse service that makes it simple and cost-effective to efficiently analyze all your data using your existing business intelligence (BI) tools. The Amazon Redshift service must be running in the same Region where the Salesforce Data Cloud is running.

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Data Lake Analytics Data-driven Management 110

CIO Business Intelligence

JUNE 29, 2022

If you’re used to using SQL Server Analysis Services for business intelligence, Analysis Services offers that enterprise-grade analytics engine as a cloud service that you can also connect to Power BI. Azure Data Lake Analytics. The reason Azure has so many analytics services is so you can build your entire stack there.

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Data Lake Analytics Data Warehouse Machine Learning 116

CIO Business Intelligence

JULY 31, 2024

With this platform, Salesforce seeks to help organizations apply the cleverness of LLMs to the customer data they have squirreled away in Salesforce data lakes in the hopes of selling more. Einstein 1 Studio handles the piping so the data from your Einstein 1 platform instance will flow smoothly into the AI.

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Data Lake IT Sales Experimentation 119

AWS Big Data

NOVEMBER 29, 2023

We have seen a strong customer demand to expand its scope to cloud-based data lakes because data lakes are increasingly the enterprise solution for large-scale data initiatives due to their power and capabilities. The team uses dbt-glue to build a transformed gold model optimized for business intelligence (BI).

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Data Lake Management Metrics Data Warehouse 121

AWS Big Data

FEBRUARY 7, 2023

AWS Glue is a serverless data integration service that makes it easy to discover, prepare, and combine data for analytics, machine learning (ML), and application development. Apache Hudi supports ACID transactions and CRUD operations on a data lake. You don’t alter queries separately in the data lake.

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Data Lake Testing Big Data Structured Data 98

AWS Big Data

NOVEMBER 29, 2023

In 2013, Amazon Web Services revolutionized the data warehousing industry by launching Amazon Redshift , the first fully-managed, petabyte-scale, enterprise-grade cloud data warehouse. Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools.

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Data Warehouse Analytics Data Lake Machine Learning 130

Cloudera

MARCH 2, 2021

Many of the existing visual business intelligence and dashboard tools also use SQL as a standard language. Democratizing data refers to a mechanism that provides a self-serve paradigm and culture for an ever-growing internal audience to get the data they need to add value to the business.

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Data Lake Data Warehouse Dashboards Enterprise 112

AWS Big Data

MARCH 7, 2023

Flexible and easy to use – The solutions should provide less restrictive, easy-to-access, and ready-to-use data. A data hub contains data at multiple levels of granularity and is often not integrated. It differs from a data lake by offering data that is pre-validated and standardized, allowing for simpler consumption by users.

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Analytics Data Warehouse Data Lake Metadata 97

Jet Global

DECEMBER 3, 2021

The term “ business intelligence ” (BI) has been in common use for several decades now, referring initially to the OLAP systems that drew largely upon pre-processed information stored in data warehouses. As the cost benefit ratio of BI has become more and more attractive, the pace of global business has also accelerated.

Business Intelligence 52

Business Intelligence OLAP Sales Data Warehouse 52

CIO Business Intelligence

APRIL 25, 2024

For instance, a Data Cloud-triggered flow could update an account manager in Slack when shipments in an external data lake are marked as delayed. Sharing Customer 360 insights back without data replication. With zero-copy support, the insurance company wouldn’t have to load that weather data into their platform.

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Data Integration Data Lake Data Warehouse Metadata 119

AWS Big Data

JULY 28, 2023

Today, tens of thousands of customers run business-critical workloads on Amazon Redshift to cost-effectively and quickly analyze their data using standard SQL and existing business intelligence (BI) tools. Change the settings for existing Data Catalog resources.

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Data Lake Data Governance Data Warehouse Data-driven 96

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 115

Analytics Key Performance Indicator Data Warehouse Data-driven 115

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. Additionally, data is extracted from vendor APIs that includes data related to product, marketing, and customer experience.

Data Warehouse 110

Data Warehouse Analytics Data Lake Data Science 110

CIO Business Intelligence

OCTOBER 13, 2023

Data architect Armando Vázquez identifies eight common types of data architects: Enterprise data architect: These data architects oversee an organization’s overall data architecture, defining data architecture strategy and designing and implementing architectures.

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Data Architecture Data Warehouse Statistics Visualization 132

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 114

Data Warehouse Data Lake Cost-Benefit Structured Data 114

DataKitchen

OCTOBER 11, 2021

Figure 2: Example data pipeline with DataOps automation. In this project, I automated data extraction from SFTP, the public websites, and the email attachments. The automated orchestration published the data to an AWS S3 Data Lake. Historic Balance – compares current data to previous or expected values.

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Testing Metadata Dashboards Statistics 154

AWS Big Data

MARCH 27, 2023

To visualize data stored in Confluent, you can use one of over 120 pre-built connectors, provided by Confluent, to write streaming data to a destination data store of your choice. Next, you connect your business intelligence (BI) tool to the data store to begin visualizing the data.

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Visualization Data Lake Interactive Data-driven 98

AWS Big Data

MAY 16, 2023

Application log challenges: Data management and compliance Application logs are an essential component of any application; they provide valuable information about the usage and performance of the system. Zoom and the AWS team (collectively referred to as “the team” going forward) identified two major workflows for data ingestion and deletion.

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Data Lake Cost-Benefit Optimization Testing 104

AWS Big Data

AUGUST 19, 2024

By using AWS Glue to integrate data from Snowflake, Amazon S3, and SaaS applications, organizations can unlock new opportunities in generative artificial intelligence (AI) , machine learning (ML) , business intelligence (BI) , and self-service analytics or feed data to underlying applications. Choose Next.

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Analytics Data-driven Data Integration Data Lake 118

AWS Big Data

MARCH 18, 2024

To create your namespace and workgroup, refer to Creating a data warehouse with Amazon Redshift Serverless. Use Query Editor v2 to load customer data from Amazon S3 You can use Query Editor v2 to submit queries and load data to your data warehouse through a web interface.

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Data Warehouse Visualization Snapshot Data-driven 113

AWS Big Data

SEPTEMBER 12, 2024

You can extend the solution in directions such as the business intelligence (BI) domain with customer 360 use cases, and the risk and compliance domain with transaction monitoring and fraud detection use cases. The application gets prompt templates from an S3 data lake and creates the engineered prompt.

Management 104

Management Analytics Data Lake Interactive 104

AWS Big Data

JUNE 28, 2023

They can connect to multiple data streams and pull data directly into Amazon Redshift without staging it in Amazon Simple Storage Service (Amazon S3). After running analytics, the insights can be made available broadly across the organization with Amazon QuickSight , a cloud-native, serverless business intelligence service.

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Analytics Data Warehouse Data Lake Data-driven 97

AWS Big Data

MAY 7, 2024

It also makes it easier for engineers, data scientists, product managers, analysts, and business users to access data throughout an organization to discover, use, and collaborate to derive data-driven insights. Note that a managed data asset is an asset for which Amazon DataZone can manage permissions.

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Metadata Data Lake Data Processing Data-driven 108

AWS Big Data

AUGUST 27, 2024

With Amazon EMR, you can take advantage of the power of these big data tools to process, analyze, and gain valuable business intelligence from vast amounts of data. Refer to How do I set up a NAT gateway for a private subnet in Amazon VPC? For more information, refer to Prerequisites. manylinux2014_x86_64.whl

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Metrics Dashboards Data Lake Optimization 105

CIO Business Intelligence

AUGUST 9, 2024

If after anonymization the level of information in the data is the same, the data is still useful. But once personal or sensitive references are removed, and the data is no longer effective, a problem arises. Synthetic data avoids these difficulties, but they’re not exempt from the need of a trade-off.

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Risk Measurement Data Collection Data Lake 138

AWS Big Data

JULY 25, 2023

It automatically provisions and intelligently scales data warehouse compute capacity to deliver fast performance, and you pay only for what you use. Just load your data and start querying right away in the Amazon Redshift Query Editor or in your favorite business intelligence (BI) tool.

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Metrics Data Warehouse Dashboards Snapshot 98