CIO Business Intelligence

AUGUST 18, 2022

Previously, Walgreens was attempting to perform that task with its data lake but faced two significant obstacles: cost and time. Those challenges are well-known to many organizations as they have sought to obtain analytical knowledge from their vast amounts of data. Lakehouses redeem the failures of some data lakes.

Data Lake 140

Data Lake Data Warehouse Unstructured Data Business Intelligence 140

AWS Big Data

FEBRUARY 29, 2024

Data governance is a critical building block across all these approaches, and we see two emerging areas of focus. First, many LLM use cases rely on enterprise knowledge that needs to be drawn from unstructured data such as documents, transcripts, and images, in addition to structured data from data warehouses.

Data Governance 110

Data Governance Unstructured Data Metadata Data Lake 110

AWS Big Data

FEBRUARY 26, 2025

Analytics remained one of the key focus areas this year, with significant updates and innovations aimed at helping businesses harness their data more efficiently and accelerate insights. From enhancing data lakes to empowering AI-driven analytics, AWS unveiled new tools and services that are set to shape the future of data and analytics.

Analytics 59

Analytics Data Lake Metadata Data Warehouse 59

AWS Big Data

AUGUST 3, 2023

With the rapid growth of technology, more and more data volume is coming in many different formats—structured, semi-structured, and unstructured. Data analytics on operational data at near-real time is becoming a common need. Then we can query the data with Amazon Athena visualize it in Amazon QuickSight.

Data Lake 88

Data Lake Visualization Dashboards Insurance 88

AWS Big Data

JULY 29, 2024

In the era of big data, data lakes have emerged as a cornerstone for storing vast amounts of raw data in its native format. They support structured, semi-structured, and unstructured data, offering a flexible and scalable environment for data ingestion from multiple sources.

Metadata 119

Metadata Snapshot Data Lake Metrics 119

CIO Business Intelligence

JUNE 29, 2022

Azure Data Explorer is used to store and query data in services such as Microsoft Purview, Microsoft Defender for Endpoint, Microsoft Sentinel, and Log Analytics in Azure Monitor. Azure Data Lake Analytics. Data warehouses are designed for questions you already know you want to ask about your data, again and again.

Data Lake 116

Data Lake Analytics Data Warehouse Machine Learning 116

Cloudera

DECEMBER 11, 2020

Without meeting GxP compliance, the Merck KGaA team could not run the enterprise data lake needed to store, curate, or process the data required to inform business decisions. It established a data governance framework within its enterprise data lake. Driving innovation with secure and governed data .

Data Lake 98

Data Lake Cost-Benefit Unstructured Data Data Governance 98

erwin

AUGUST 15, 2022

For NoSQL, data lakes, and data lake houses—data modeling of both structured and unstructured data is somewhat novel and thorny. This blog is an introduction to some advanced NoSQL and data lake database design techniques (while avoiding common pitfalls) is noteworthy. Data Modeling.

Data Lake 52

Data Lake Modeling Unstructured Data Data Warehouse 52

AWS Big Data

MAY 28, 2024

Large language models (LLMs) such as Anthropic Claude and Amazon Titan have the potential to drive automation across various business processes by processing both structured and unstructured data. For getting data from Amazon Redshift, we use the Anthropic Claude 2.0 For client interaction we use Agent Tools based on ReAct.

Unstructured Data 103

Unstructured Data Data Warehouse Structured Data Testing 103

Cloudera

JUNE 9, 2022

From origin through all points of consumption both on-prem and in the cloud, all data flows need to be controlled in a simple, secure, universal, scalable, and cost-effective way. controlling distribution while also allowing the freedom and flexibility to deliver the data to different services is more critical than ever. .

Data Collection 94

Data Collection IoT Data Lake Unstructured Data 94

AWS Big Data

FEBRUARY 22, 2023

In this post, we show how Ruparupa implemented an incrementally updated data lake to get insights into their business using Amazon Simple Storage Service (Amazon S3), AWS Glue , Apache Hudi , and Amazon QuickSight. An AWS Glue ETL job, using the Apache Hudi connector, updates the S3 data lake hourly with incremental data.

Data Lake 52

Data Lake Dashboards Cost-Benefit Data Warehouse 52

Sisense

JULY 22, 2020

The trend has been towards using cloud-based applications and tools for different functions, such as Salesforce for sales, Marketo for marketing automation, and large-scale data storage like AWS or data lakes such as Amazon S3 , Hadoop and Microsoft Azure. Sisense provides instant access to your cloud data warehouses.

Slice and Dice 98

Slice and Dice Digital Transformation Data Warehouse Data Lake 98

AWS Big Data

MARCH 2, 2023

Many organizations are building data lakes to store and analyze large volumes of structured, semi-structured, and unstructured data. In addition, many teams are moving towards a data mesh architecture, which requires them to expose their data sets as easily consumable data products.

Data Lake 84

Data Lake Testing Interactive Unstructured Data 84

AWS Big Data

MARCH 25, 2024

AWS Glue can interact with streaming data services such as Kinesis Data Streams and Amazon MSK for processing and transforming CDC data. This data store provides your organization with the holistic customer records view that is needed for operational efficiency of RAG-based generative AI applications.

Data Lake 105

Data Lake Unstructured Data Management Snapshot 105

Sisense

JUNE 30, 2020

Data visualization can either be static or interactive. Interactive visualizations enable users to drill down into data and extract and examine various views of the same dataset, selecting specific data points that they want to see in a visualized format. The role of visualizations in analytics.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

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

Cloudera

JULY 26, 2021

Authorization: Define what users of internal / external organizations can access and do with the data in a fine-grained manner that ensures compliance with e.g., data obfuscation requirements introduced by industry and country specific standards for certain types of data assets such as PII. data warehousing).

Strategy 119

Strategy Data Science Unstructured Data Marketing 119

Cloudera

NOVEMBER 18, 2021

By adopting a custom developed application based on the Cloudera ecosystem, Carrefour has combined the legacy systems into one platform which provides access to customer data in a single data lake. EVA unifies data from MTN’s different operator systems, creating a 360° view of subscribers.

Data Lake 77

Data Lake Cost-Benefit Digital Transformation Risk 77

IBM Big Data Hub

AUGUST 4, 2023

Architecture for data democratization Data democratization requires a move away from traditional “data at rest” architecture, which is meant for storing static data. Traditionally, data was seen as information to be put on reserve, only called upon during customer interactions or executing a program.

Data Architecture 59

Data Architecture Data Lake Machine Learning Data Governance 59

Cloudera

OCTOBER 30, 2018

The abundant growth of data, maturation of machine algorithms, and future regulatory compliance demands from the European Union’s General Data Protection Regulation (GDPR) will shift the landscape for creating a single source of the truth for customer data. Why is this important?

Unstructured Data 42

Unstructured Data Data Lake Machine Learning Interactive 42

Sisense

NOVEMBER 12, 2020

The boosted popularity of data warehouses has caused a misconception that they are wildly different from databases. While the architecture of traditional data warehouses and cloud data warehouses does differ, the ways in which data professionals interact with them (via SQL or SQL-like languages) is roughly the same.

Data Warehouse 52

Data Warehouse Data Lake OLAP Data-driven 52

Cloudera

MAY 16, 2018

This example combines three types of unrelated data: Legal entity data: Two companies with completely unrelated business lines (coffee and waste management) merged together; Unstructured data: Fraudulent promotion campaigns took place through press releases and a fake stock-picking robot.

Data Lake 42

Data Lake Risk Visualization Unstructured Data 42

AWS Big Data

FEBRUARY 21, 2023

At the heart of all data warehousing is integration, and this layer contains integrated data from multiple sources built around the enterprise-wide business keys. Although data lakes resemble data vaults, a data vault provides more features of a data warehouse.

Data Warehouse 71

Data Warehouse Data Lake Cost-Benefit Metadata 71

Jet Global

MAY 9, 2024

The key components of a data pipeline are typically: Data Sources : The origin of the data, such as a relational database , data warehouse, data lake , file, API, or other data store. This can include tasks such as data ingestion, cleansing, filtering, aggregation, or standardization.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

David Menninger's Analyst Perspectives

JANUARY 23, 2025

Data platforms support and enable operational applications used to run the business, as well as analytic applications used to evaluate the business, including AI, machine learning and generative AI. The data platforms market has traditionally been dominated by the relational data model and relational database management systems.

Data-driven 130

Data-driven Unstructured Data Data Lake Marketing 130

BI-Survey

FEBRUARY 27, 2025

Figure 1: Enterprise Data Catalogs interact with AI in two ways These regulations require organizations to document and control both traditional and generative AI models, whether they build them or incorporate them into their own applications, thus driving demand for data catalogs that support compliance.

Unstructured Data 52

Unstructured Data Metadata Data Quality Data Governance 52

AWS Big Data

JANUARY 29, 2025

Amazon EMR has long been the leading solution for processing big data in the cloud. Amazon EMR is the industry-leading big data solution for petabyte-scale data processing, interactive analytics, and machine learning using over 20 open source frameworks such as Apache Hadoop , Hive, and Apache Spark.

Big Data 69

Big Data Data Analytics Analytics Interactive 69

CIO Business Intelligence

FEBRUARY 18, 2025

Consider a simple use case example like email marketing where an agent can devise a plan that executes tasks across enterprise systems to access structured and unstructured data, transactional systems, APIs and document management systems. Agentic AI is here to stay and will gain tremendous momentum in 2024.

Machine Learning 90

Machine Learning Data Quality Enterprise Sales 90