CIO Business Intelligence

JUNE 9, 2022

A data management platform (DMP) is a group of tools designed to help organizations collect and manage data from a wide array of sources and to create reports that help explain what is happening in those data streams. Deploying a DMP can be a great way for companies to navigate a business world dominated by data.

Management 136

Management Advertising Data Lake Sales 136

CIO Business Intelligence

SEPTEMBER 22, 2023

Data management platform definition A data management platform (DMP) is a suite of tools that helps organizations to collect and manage data from a wide array of first-, second-, and third-party sources and to create reports and build customer profiles as part of targeted personalization campaigns.

Management 96

Management Advertising Data Lake Sales 96

Cloudera

NOVEMBER 17, 2022

We needed a solution to manage our data at scale, to provide greater experiences to our customers. With Cloudera Data Platform, we aim to unlock value faster and offer consistent data security and governance to meet this goal. HBL aims to double its banked customers by 2025. “

Management 84

Management Data Lake Consulting Unstructured Data 84

AWS Big Data

JANUARY 27, 2023

The AWS Glue Data Catalog provides a uniform repository where disparate systems can store and find metadata to keep track of data in data silos. Apache Flink is a widely used data processing engine for scalable streaming ETL, analytics, and event-driven applications. Apache Hudi also has its own catalog management.

Data Lake 63

Data Lake Metadata Business Analysis Data-driven 63

In(tegrate) the Clouds

MAY 1, 2016

SnapLogic published Eight Data Management Requirements for the Enterprise Data Lake. They are: Storage and Data Formats. The company also recently hosted a webinar on Democratizing the Data Lake with Constellation Research and published 2 whitepapers from Mark Madsen. Ingest and Delivery.

Data Lake 40

Data Lake Enterprise Management Metadata 40

AWS Big Data

MAY 7, 2024

Data governance is a key enabler for teams adopting a data-driven culture and operational model to drive innovation with data. Amazon DataZone allows you to simply and securely govern end-to-end data assets stored in your Amazon Redshift data warehouses or data lakes cataloged with the AWS Glue data catalog.

Metadata 76

Metadata Data Lake Data Processing Data-driven 76

AWS Big Data

MARCH 7, 2024

Organizations often need to manage a high volume of data that is growing at an extraordinary rate. At the same time, they need to optimize operational costs to unlock the value of this data for timely insights and do so with a consistent performance. We think of this concept as inside-out data movement.

Data Lake 115

Data Lake Analytics Dashboards Metrics 115

AWS Big Data

JULY 20, 2023

The Hive metastore is a repository of metadata about the SQL tables, such as database names, table names, schema, serialization and deserialization information, data location, and partition details of each table. Therefore, organizations have come to host huge volumes of metadata of their structured datasets in the Hive metastore.

Data Lake 82

Data Lake Metadata Data Processing Big Data 82

AWS Big Data

SEPTEMBER 22, 2023

At Stitch Fix, we have been powered by data science since its foundation and rely on many modern data lake and data processing technologies. In our infrastructure, Apache Kafka has emerged as a powerful tool for managing event streams and facilitating real-time data processing.

Management 104

Management Metrics Cost-Benefit Data Lake 104

DataKitchen

NOVEMBER 29, 2021

Data Gets Meshier. 2022 will bring further momentum behind modular enterprise architectures like data mesh. The data mesh addresses the problems characteristic of large, complex, monolithic data architectures by dividing the system into discrete domains managed by smaller, cross-functional teams.

Testing 245

Testing Data Lake Data Architecture Manufacturing 245

AWS Big Data

AUGUST 3, 2023

Today’s modern data lakes span multiple accounts, AWS Regions, and lines of business in organizations. It’s important that their data solution gives them the ability to share and access data securely and safely across Regions. For example, we are using a data lake administrator role called LF-Admin.

Data Lake 88

Data Lake Metadata Management Data Processing 88

CIO Business Intelligence

DECEMBER 7, 2023

The organization has 500 applications for business services, 80,000 VMs, 3,000 hosts, and more than 100,000 containers. BMC needed a solution to transform this large volume of data and enable observability to understand thousands of events as a single scenario.

IT 89

IT Data Lake Business Services Data Processing 89

AWS Big Data

FEBRUARY 27, 2024

In this post, we explore how Bluestone uses AWS services, notably the cloud data warehousing service Amazon Redshift , to implement a cutting-edge data mesh architecture, revolutionizing the way they manage, access, and utilize their data assets. This enables data-driven decision-making across the organization.

Data-driven 96

Data-driven Data Lake Data Quality Data Governance 96

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. The system had an integration with legacy backend services that were all hosted on premises.

Data Warehouse 87

Data Warehouse Data Lake Cost-Benefit Structured Data 87

AWS Big Data

MARCH 27, 2023

Data lakes have come a long way, and there’s been tremendous innovation in this space. Today’s modern data lakes are cloud native, work with multiple data types, and make this data easily available to diverse stakeholders across the business.

Data Lake 87

Data Lake Data-driven Management Data Architecture 87

AWS Big Data

AUGUST 16, 2023

Iceberg has become very popular for its support for ACID transactions in data lakes and features like schema and partition evolution, time travel, and rollback. AWS Glue crawlers will extract schema information and update the location of Iceberg metadata and schema updates in the Data Catalog. Choose Next. Choose Create.

Data Lake 80

Data Lake Metadata Snapshot Management 80

AWS Big Data

DECEMBER 13, 2023

In addition to using native managed AWS services that BMS didn’t need to worry about upgrading, BMS was looking to offer an ETL service to non-technical business users that could visually compose data transformation workflows and seamlessly run them on the AWS Glue Apache Spark-based serverless data integration engine.

Metadata 90

Metadata Data Lake Visualization Data Transformation 90

CIO Business Intelligence

DECEMBER 6, 2023

Its digital transformation began with an application modernization phase, in which Dickson and her IT teams determined which applications should be hosted in the public cloud and which should remain on a private cloud. Here, Dickson sees data generated from its industrial machines being very productive.

Manufacturing 71

Manufacturing Data Lake Digital Transformation Machine Learning 71

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

AWS Big Data

NOVEMBER 8, 2023

Because Gilead is expanding into biologics and large molecule therapies, and has an ambitious goal of launching 10 innovative therapies by 2030, there is heavy emphasis on using data with AI and machine learning (ML) to accelerate the drug discovery pipeline. This data volume is expected to increase monthly and is fully refreshed each month.

Data Lake 77

Data Lake Data Warehouse Cost-Benefit Optimization 77

CIO Business Intelligence

FEBRUARY 20, 2024

All data is held in a lake-centric hub, and protected by a strong, universal security model, with data loss prevention and protection for sensitive data, and features for auditing and forensic investigation already built-in. If this all seems challenging, Avanade can help.

Cost-Benefit 91

Cost-Benefit Data Lake Data Warehouse Data Integration 91

Cloudera

JUNE 25, 2021

Many Cloudera customers are making the transition from being completely on-prem to cloud by either backing up their data in the cloud, or running multi-functional analytics on CDP Public cloud in AWS or Azure. The Replication Manager service facilitates both disaster recovery and data migration across different environments.

Data Lake 71

Data Lake Metadata Unstructured Data Management 71

CIO Business Intelligence

MARCH 18, 2024

We need to be ready to respond to our CEO to solve problems with AI,” says Srini Gudipati, CIO of Covanta, a company that specializes in sustainable materials management, including large-scale recycling. Our data team uses gen AI on Amazon cloud to explore sustainability metrics. AI tools rely on the data in use in these solutions.

Risk 119

Risk Cost-Benefit Data Processing Testing 119

AWS Big Data

MARCH 29, 2024

Typically, you have multiple accounts to manage and run resources for your data pipeline. To make the dataset and analysis visible for you, complete the following steps: On the QuickSight console, navigate to the user menu and choose Manage QuickSight. In the navigation pane, choose Manage assets. Choose SHARE.

Metrics 107

Metrics Visualization Dashboards Interactive 107

CIO Business Intelligence

MAY 23, 2022

Many companies whose AI model training infrastructure is not proximal to their data lake incur steeper costs as the data sets grow larger and AI models become more complex. Companies such as Cyxtera, Digital Realty and Equinix, among others, offer hosting, managing and operations services for AI infrastructure.

Experimentation 118

Experimentation Cost-Benefit Data Lake Data Science 118

CIO Business Intelligence

JANUARY 20, 2023

Of course, cost is a big consideration, says Orlandini, as well as deciding where to host the data, and having it available in a fiscally responsible way. An organization might also question if the data should be maintained on-premises due to security concerns in the public cloud. They have data swamps,” he says.

Data Lake 118

Data Lake Data-driven Finance Data Architecture 118

AWS Big Data

JUNE 8, 2023

With automated alerting with a third-party service like PagerDuty , an incident management platform, combined with the robust and powerful alerting plugin provided by OpenSearch Service, businesses can proactively manage and respond to critical events. For instructions, refer to Creating and managing Amazon OpenSearch Service domains.

Data Lake 81

Data Lake Dashboards Metrics Testing 81

CIO Business Intelligence

APRIL 9, 2024

Melby pushed machine learning models into production very early at Dairyland, improving the cooperative’s weather forecasting capabilities and creating load management applications that “bent the curve” to best manage the company’s power load on peak days, the CIO says.

Digital Transformation 81

Digital Transformation Machine Learning Data Lake Software 81

IBM Big Data Hub

JUNE 15, 2023

It is comprised of commodity cloud object storage, open data and open table formats, and high-performance open-source query engines. To help organizations scale AI workloads, we recently announced IBM watsonx.data , a data store built on an open data lakehouse architecture and part of the watsonx AI and data platform.

Data Warehouse 87

Data Warehouse Data Lake Optimization Data-driven 87

Paul Blogs on BI

SEPTEMBER 8, 2021

Well firstly, if the main data warehouses, repositories, or application databases that BusinessObjects accesses are on premise, it makes no sense to move BusinessObjects to the cloud until you move its data sources to the cloud. You also have the option of hosting with a third party.

Data Warehouse 59

Data Warehouse Data Processing Data Lake Testing 59

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 78

Data Lake Testing Interactive Unstructured Data 78

AWS Big Data

NOVEMBER 22, 2023

Data lakes are designed for storing vast amounts of raw, unstructured, or semi-structured data at a low cost, and organizations share those datasets across multiple departments and teams. The queries on these large datasets read vast amounts of data and can perform complex join operations on multiple datasets.

Statistics 103

Statistics Data Lake Optimization Data-driven 103

AWS Big Data

MAY 30, 2023

Customers have been using data warehousing solutions to perform their traditional analytics tasks. Recently, data lakes have gained lot of traction to become the foundation for analytical solutions, because they come with benefits such as scalability, fault tolerance, and support for structured, semi-structured, and unstructured datasets.

Data Lake 82

Data Lake Data Analytics Analytics Data Processing 82

IBM Big Data Hub

MAY 19, 2023

Furthermore, TDC Digital had not used any cloud storage solution and experienced latency and downtime while hosting the application in its data center. TDC Digital is excited about its plans to host its IT infrastructure in IBM data centers, offering better scalability, performance and security.

Unstructured Data 74

Unstructured Data Data Processing Manufacturing Data Lake 74

Cloudera

OCTOBER 25, 2022

The data lakehouse is gaining in popularity because it enables a single platform for all your enterprise data with the flexibility to run any analytic and machine learning (ML) use case. Cloud data lakehouses provide significant scaling, agility, and cost advantages compared to cloud data lakes and cloud data warehouses.

Data Processing 52

Data Processing Data Lake Cost-Benefit Risk 52

AWS Big Data

APRIL 26, 2024

To enable your workforce users for analytics with fine-grained data access controls and audit data access, you might have to create multiple AWS Identity and Access Management (IAM) roles with different data permissions and map the workforce users to one of those roles. AWS CloudTrail captures user data access activities.

Analytics 96

Analytics Data Lake Management Enterprise 96

CIO Business Intelligence

OCTOBER 4, 2023

PayPal, like many other large companies, suffers attacks every second, and we can only manage this volume of threats through an architecture with reinforced security layers and solid technology, such as AI.” At the lowest layer is the infrastructure, made up of databases and data lakes. Stability is another objective.

Digital Transformation 116

Digital Transformation Deep Learning Data Lake Risk 116