CIO Business Intelligence

MARCH 9, 2022

Applying artificial intelligence (AI) to data analytics for deeper, better insights and automation is a growing enterprise IT priority. But the data repository options that have been around for a while tend to fall short in their ability to serve as the foundation for big data analytics powered by AI.

Data Lake 95

Data Lake Unstructured Data Data Warehouse Data Quality 95

Cloudera

SEPTEMBER 12, 2022

First, organizations have a tough time getting their arms around their data. More data is generated in ever wider varieties and in ever more locations. Organizations don’t know what they have anymore and so can’t fully capitalize on it — the majority of data generated goes unused in decision making. Unified data fabric.

Unstructured Data 74

Unstructured Data Data Architecture Data Lake Snapshot 74

CIO Business Intelligence

JUNE 23, 2022

We live in a hybrid data world. In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB.

IT 71

IT Data Architecture Unstructured Data Big Data 71

CIO Business Intelligence

OCTOBER 18, 2022

“In the old stadium, we just didn’t have the ability to get the data that we needed,” says Machelle Noel, manager of analytic systems at the Texas Rangers Baseball Club. Analytics, Data Management Some of our systems were old. We just didn’t have the ability that we now have in this new, state-of-the-art facility.”.

Data Transformation 141

Data Transformation Consulting Data Lake Reporting 141

AWS Big Data

DECEMBER 21, 2023

To speed up the self-service analytics and foster innovation based on data, a solution was needed to provide ways to allow any team to create data products on their own in a decentralized manner. To create and manage the data products, smava uses Amazon Redshift , a cloud data warehouse.

Data Lake 91

Data Lake Data Warehouse Data-driven B2B 91

CIO Business Intelligence

APRIL 25, 2022

The other 10% represents the effort of initial deployment, data-loading, configuration and the setup of administrative tasks and analysis that is specific to the customer, the Henschen said. Features focus on media and entertainment firms.

Recreation/Entertainment 103

Recreation/Entertainment Data Lake Data Warehouse Unstructured Data 103

AWS Big Data

APRIL 19, 2023

With the right analytics approach, this is possible. In this post, we look at three key challenges that customers face with growing data and how a modern data warehouse and analytics system like Amazon Redshift can meet these challenges across industries and segments. Take the case of mobile gaming company Playrix.

Data Warehouse 55

Data Warehouse Data Lake Unstructured Data Optimization 55

CIO Business Intelligence

MARCH 24, 2023

Alation Alation is an enterprise data catalog that automatically indexes data by source. Meant specifically to support self-service analytics, TrustCheck attaches guidelines and rules to data assets. One of its key capabilities, TrustCheck, provides real-time “guardrails” to workflows.

Data Governance 142

Data Governance Management Metadata Data Quality 142

CDW Research Hub

OCTOBER 12, 2021

As organizations grow and evolve, many find a need for more sophisticated analytics across an ever-increasing amount of digital and consumer data. But most legacy data architectures do not have a unified data model, and they are hard-wired toward specific BI tools that do not support self-service analytics.

Data Warehouse 52

Data Warehouse Big Data Data Architecture Cost-Benefit 52

CDW Research Hub

JULY 22, 2019

These old and inefficient systems were designed for a different era, when data was a side project and access to analytics was limited to the executive team. To do so, these companies need a modern data warehouse, such as Snowflake. With Snowflake, you can store, transform and analyze structured and semi-structured data together.

Data Warehouse 54

Data Warehouse Business Intelligence Structured Data Data Architecture 54

AWS Big Data

NOVEMBER 9, 2023

It allows users to write data transformation code, run it, and test the output, all within the framework it provides. Use case The Enterprise Data Analytics group of a large jewelry retailer embarked on their cloud journey with AWS in 2021. Third-party APIs – These provide analytics and survey data related to ecommerce websites.

Data Warehouse 106

Data Warehouse Testing Data Quality Reporting 106

datapine

AUGUST 20, 2019

Operations data: Data generated from a set of operations such as orders, online transactions, competitor analytics, sales data, point of sales data, pricing data, etc. The gigantic evolution of structured, unstructured, and semi-structured data is referred to as Big data.

Big Data 100

Big Data B2B Cost-Benefit Structured Data 100

AWS Big Data

JANUARY 12, 2024

Many organizations, small and large, are working to migrate and modernize their analytics workloads on Amazon Web Services (AWS). Solution overview The following diagram illustrates the high-level solution architecture. Your requirements are to detect and mask sensitive data as it is ingested into your organization’s cloud environment.

Data Lake 95

Data Lake Cost-Benefit Visualization Structured Data 95

IBM Big Data Hub

JULY 5, 2022

In today’s world of complex data architectures and emerging technologies, databases can sometimes be undervalued and unrecognized. When we look ahead, that same architectural foundation we have spent decades perfecting and innovating is also bringing Db2 into future. Nedbank builds a scalable data warehouse architecture .

Data Lake 88

Data Lake Data Warehouse Publishing Structured Data 88

IBM Big Data Hub

AUGUST 15, 2023

Artificial intelligence in business is already driving organizational changes in how companies approach data analytics and cybersecurity threat detection. AI starts with data To launch a truly effective AI program for your business, you must have clean quality datasets and an adequate data architecture for storing and accessing it.

IT 76

IT Data Governance Modeling Cost-Benefit 76

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. Acast used the Well-Architected Framework for the central account to improve its practice running analytical workloads in the cloud.

Data-driven 87

Data-driven Advertising Metadata Data Architecture 87

AWS Big Data

MARCH 26, 2024

In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. We recommend building your data strategy around five pillars of C360, as shown in the following figure.

Data Strategy 69

Data Strategy Strategy Data Warehouse Prescriptive Analytics 69

Ontotext

JANUARY 10, 2024

Click To Tweet The need for a knowledge graph platform At a very high level, a knowledge graph platform has to connect the data into a reusable graph to power deep analytics. In order to integrate structured data, enterprises need to implement the data fabric pattern. Click To Tweet RDF or LPG or … both?

Metadata 72

Metadata Slice and Dice Data Integration Enterprise 72

Cloudera

OCTOBER 7, 2021

Those decentralization efforts appeared under different monikers through time, e.g., data marts versus data warehousing implementations (a popular architectural debate in the era of structured data) then enterprise-wide data lakes versus smaller, typically BU-Specific, “data ponds”.

Metadata 124

Metadata Cost-Benefit Enterprise Interactive 124

AWS Big Data

MARCH 25, 2024

To understand the best ways to make API calls via Apache Flink, refer to Common streaming data enrichment patterns in Amazon Kinesis Data Analytics for Apache Flink. OpenSearch Service provides support for native ingestion from Kinesis data streams or MSK topics.

Data Lake 91

Data Lake Unstructured Data Management Modeling 91

IBM Big Data Hub

JANUARY 18, 2023

In another decade, the internet and mobile started the generate data of unforeseen volume, variety and velocity. It required a different data platform solution. Hence, Data Lake emerged, which handles unstructured and structured data with huge volume. Analytical and transactional worlds come together.

Data Lake 52

Data Lake Data Warehouse Data-driven Metadata 52

erwin

OCTOBER 24, 2019

Metadata is generated every time data is captured at a source, accessed by users, moves through an organization, and then is profiled, cleansed, aggregated, augmented and used for analytics to guide operational or strategic decision-making.

Metadata 104

Metadata Management Data-driven Data Architecture 104

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 72

Data Lake Testing Snapshot Sales 72