AWS Big Data

FEBRUARY 7, 2023

In the data analytics space, organizations often deal with many tables in different databases and file formats to hold data for different business functions. For instructions to set up Aurora, refer to Creating an Amazon Aurora DB cluster. To set up Athena, refer to Getting started.

Data Lake 76

Data Lake Testing Big Data Structured Data 76

AWS Big Data

MARCH 27, 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. You can use this feature for the purpose of data ingestion throughout the POC.

Testing 103

Testing Data Warehouse Metrics Cost-Benefit 103

AWS Big Data

JANUARY 12, 2024

We have defined all layers and components of our design in line with the AWS Well-Architected Framework Data Analytics Lens. Before data records land on Amazon S3, we implement an ingestion layer to bring all data streams reliably and securely to the data lake.

Data Lake 99

Data Lake Cost-Benefit Visualization Structured Data 99

AWS Big Data

JULY 31, 2023

AWS DMS enables us to capture deltas, including deletes from the source database, through the use of Change Data Capture (CDC) configuration. CDC in DMS enables us to capture deltas without writing code and without missing any changes, which is critical for the integrity of the data. Select s3_crawler and choose Run.

Sales 52

Sales Data Warehouse Visualization Testing 52

AWS Big Data

MARCH 27, 2024

These services enable you to collect and analyze data in near real time and put a comprehensive data governance framework in place that uses granular access control to secure sensitive data from unauthorized users. To create an AWS HealthLake data store, refer to Getting started with AWS HealthLake.

Data Analytics 96

Data Analytics Analytics Data Warehouse Data Lake 96

BizAcuity

OCTOBER 21, 2019

The key factor for the prosperity of the Hotel is service, online reviews & experience, using the information technology organizations are capturing the data to develop the latest techniques using data analytics to survive the competition. DECODING ONLINE REVIEWS THROUGH ANALYTICS.

Analytics 40

Analytics Unstructured Data Data mining Structured Data 40

Sisense

MARCH 14, 2021

However, when investigating big data from the perspective of computer science research, we happily discover much clearer use of this cluster of confusing concepts. As we move from right to left in the diagram, from big data to BI, we notice that unstructured data transforms into structured data.

Big Data 52

Big Data IoT Data Warehouse Data-driven 52

Jet Global

OCTOBER 30, 2020

That means many of the reporting tools that customers previously used to access Microsoft Dynamics AX data will no longer work with D365 F&SCM. We refer to the first as “data entities.” You can think of data entities as a kind of translation layer or gatekeeper. What are unstructured data? CustomerName.

Data Lake 52

Data Lake Unstructured Data Reporting Finance 52

AWS Big Data

MARCH 13, 2024

Data analytics – Business analysts gather operational insights from multiple data sources, including the location data collected from the vehicles. Refer to the instructions in the README file for steps on how to provision and decommission this solution. The ingestion approach is not in scope of this post.

Analytics 99

Analytics IoT Metadata Internet of Things 99

Smart Data Collective

SEPTEMBER 26, 2019

In this article, we are going to look at how software development can leverage on Big Data. We will also briefly have a sneak preview of the connection between AI and Big Data. Software development simply refers to a set of computer science-related activities purely dedicated to building, designing, and deploying software.

Big Data 80

Big Data Software Unstructured Data Data Integration 80

Jet Global

NOVEMBER 5, 2020

That stands for “bring your own database,” and it refers to a model in which core ERP data are replicated to a separate standalone database used exclusively for reporting. Unstructured data could include things like social media posts, online reviews, and comments recorded by a customer service rep, for example.

Data Lake 98

Data Lake OLAP Data Warehouse Unstructured Data 98

Ontotext

FEBRUARY 26, 2024

RED’s focus on news content serves a pivotal function: identifying, extracting, and structuring data on events, parties involved, and subsequent impacts. A risk and opportunity event refers to an occurrence that may positively or negatively impact the stock market performance of a company or industry sector.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

AWS Big Data

APRIL 2, 2024

For detailed instructions, refer to New generative AI capabilities for Amazon DataZone further simplify data cataloging and discovery (preview). She focuses on improving data discovery and curation required for data analytics. For API instructions, see Using machine learning and generative AI.

Metadata 93

Metadata Metrics Data-driven Modeling 93

AWS Big Data

JULY 12, 2023

Amazon Redshift delivers up to five times better price performance than other cloud data warehouses out of the box and helps you keep costs predictable. Introduction to dbt dbt is a SQL-based transformation workflow that is rapidly emerging as the go-to standard for data analytics teams.

Data Warehouse 52

Data Warehouse Modeling Dashboards Data Lake 52

AWS Big Data

OCTOBER 25, 2023

Most companies produce and consume unstructured data such as documents, emails, web pages, engagement center phone calls, and social media. By some estimates, unstructured data can make up to 80–90% of all new enterprise data and is growing many times faster than structured data.

Unstructured Data 123

Unstructured Data Metadata Management Analytics 123

AWS Big Data

JANUARY 22, 2024

They classified the metrics and indicators in the following categories: Data usage – A clear understanding of who is consuming what data source, materialized with a mapping of consumers and producers. In this approach, teams responsible for generating data are referred to as producers.

Data-driven 90

Data-driven Advertising Metadata Data Architecture 90

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. The same AWS Glue database is referenced in the external schema on the consumer side.

Data Warehouse 96

Data Warehouse Data Lake Analytics Data Science 96

AWS Big Data

MARCH 28, 2023

Conclusion In this post, we demonstrated how to identify the changed data for a semi-structured data source and preserve the historical changes (SCD Type 2) on an S3 Delta Lake, when source systems are unable to provide the change data capture capability, with AWS Glue.

Data Lake 74

Data Lake Testing Snapshot Sales 74

Cloudera

SEPTEMBER 15, 2022

Today’s platform owners, business owners, data developers, analysts, and engineers create new apps on the Cloudera Data Platform and they must decide where and how to store that data. Structured data (such as name, date, ID, and so on) will be stored in regular SQL databases like Hive or Impala databases.

Metadata 86

Metadata Big Data Optimization Unstructured Data 86

Alation

JULY 19, 2022

As they attempt to put machine learning models into production, data science teams encounter many of the same hurdles that plagued data analytics teams in years past: Finding trusted, valuable data is time-consuming. Obstacles, such as user roles, permissions, and approval request prevent speedy data access.

Metadata 59

Metadata Data Quality Statistics Data Science 59

AWS Big Data

MARCH 26, 2024

It is prudent to consolidate this data into a single customer view, serving as a primary reference for downstream applications, ranging from ecommerce platforms to CRM systems. This consolidated view acts as a liaison between the data platform and customer-centric applications.

Data Strategy 71

Data Strategy Strategy Data Warehouse Prescriptive Analytics 71

Sisense

MAY 11, 2021

You can’t talk about data analytics without talking about data modeling. These two functions are nearly inseparable as we move further into a world of analytics that blends sources of varying volume, variety, veracity, and velocity. One solution with immense potential is ”edge computing.”

Modeling 84

Modeling Big Data IoT Data Warehouse 84

AWS Big Data

AUGUST 16, 2023

Most businesses store their critical data in a data lake, where you can bring data from various sources to a centralized storage. Change Data Capture (CDC) in the context of a data lake refers to the process of capturing and propagating changes made to source data.

Data Lake 74

Data Lake Metadata Testing Snapshot 74

Sisense

JULY 23, 2021

At the Information, Knowledge, and Games Learning (IKL) unit, we anticipate collecting about 1TB of data from primary sources. From an operational data analytics perspective, I would describe Tokyo 2020 as a coming of age Games,” he says. Data will create a better-connected future. Chris’ passion around this is evident.

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105

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