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 144

Management Advertising Data Lake Sales 144

AWS Big Data

SEPTEMBER 26, 2024

For many organizations, this centralized data store follows a data lake architecture. Although data lakes provide a centralized repository, making sense of this data and extracting valuable insights can be challenging. Preprocessing Lambda enables you to run code without provisioning or managing servers.

Data Lake 101

Data Lake Cost-Benefit Unstructured Data Modeling 101

AWS Big Data

JUNE 10, 2024

In this post, we delve into the key aspects of using Amazon EMR for modern data management, covering topics such as data governance, data mesh deployment, and streamlined data discovery. Organizations have multiple Hive data warehouses across EMR clusters, where the metadata gets generated.

Data Lake 96

Data Lake Metadata Data Warehouse Data Processing 96

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.

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Testing Data Lake Data Architecture Manufacturing 245

AWS Big Data

OCTOBER 21, 2024

However, enterprises often encounter challenges with data silos, insufficient access controls, poor governance, and quality issues. Embracing data as a product is the key to address these challenges and foster a data-driven culture. These controls are designed to grant access with the right level of privileges and context.

Sales 105

Sales Data-driven Data Processing Key Performance Indicator 105

AWS Big Data

DECEMBER 20, 2024

This means you can refine your ETL jobs through natural follow-up questionsstarting with a basic data pipeline and progressively adding transformations, filters, and business logic through conversation. The DataFrame code generation now extends beyond AWS Glue DynamicFrame to support a broader range of data processing scenarios.

Data Integration 94

Data Integration Visualization Data Processing Big Data 94

AWS Big Data

JULY 20, 2023

With data becoming the driving force behind many industries today, having a modern data architecture is pivotal for organizations to be successful. In this post, we describe Orca’s journey building a transactional data lake using Amazon Simple Storage Service (Amazon S3), Apache Iceberg, and AWS Analytics.

Data Lake 94

Data Lake Analytics Snapshot Data Quality 94

AWS Big Data

JANUARY 15, 2025

Their terminal operations rely heavily on seamless data flows and the management of vast volumes of data. With the addition of these technologies alongside existing systems like terminal operating systems (TOS) and SAP, the number of data producers has grown substantially. datazone_env_twinsimsilverdata"."cycle_end";')

IoT 101

IoT Machine Learning Metadata Data-driven 101

AWS Big Data

NOVEMBER 29, 2024

Customers often want to augment and enrich SAP source data with other non-SAP source data. Such analytic use cases can be enabled by building a data warehouse or data lake. Customers can now use the AWS Glue SAP OData connector to extract data from SAP.

Visualization 91

Visualization Data Processing Data-driven Cost-Benefit 91

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 105

Management Advertising Data Lake Sales 105

AWS Big Data

NOVEMBER 11, 2024

Amazon OpenSearch Service is a fully managed service offered by AWS that enables you to deploy, operate, and scale OpenSearch domains effortlessly. This process can be programmatically scheduled using an AWS Lambda function, as described in Unleash the power of Snapshot Management to take automated snapshots using Amazon OpenSearch Service.

Snapshot 98

Snapshot Strategy Dashboards Data Lake 98

AWS Big Data

DECEMBER 16, 2024

For each service, you need to learn the supported authorization and authentication methods, data access APIs, and framework to onboard and test data sources. This fragmented, repetitive, and error-prone experience for data connectivity is a significant obstacle to data integration, analysis, and machine learning (ML) initiatives.

Visualization 72

Visualization Data Processing Testing Publishing 72

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,

Data Lake 88

Data Lake Visualization Dashboards Insurance 88

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 85

Management Data Lake Consulting Unstructured Data 85

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

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 137

Experimentation Cost-Benefit Data Lake Data Science 137

Cloudera

MAY 23, 2024

In modern enterprises, the exponential growth of data means organizational knowledge is distributed across multiple formats, ranging from structured data stores such as data warehouses to multi-format data stores like data lakes. Trulens), but this can be much more complex at an enterprise-level to manage.

Management 80

Management Metrics Data Processing Data Lake 80

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 125

Data Lake Analytics Dashboards Metrics 125

datapine

APRIL 15, 2020

When it comes to implementing and managing a successful BI strategy we have always proclaimed: start small, use the right BI tools , and involve your team. To fully utilize agile business analytics, we will go through a basic agile framework in regards to BI implementation and management. Let’s start with the concept.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

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 116

Management Metrics Cost-Benefit Data Lake 116

AWS Big Data

DECEMBER 4, 2024

Recognizing this paradigm shift, ANZ Institutional Division has embarked on a transformative journey to redefine its approach to data management, utilization, and extracting significant business value from data insights. This enables global discoverability and collaboration without centralizing ownership or operations.

Metadata 94

Metadata Data Governance Data Quality Data-driven 94

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 67

Data Lake Metadata Business Analysis Data-driven 67

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 135

Data Lake Data-driven Finance Data Architecture 135

Smart Data Collective

FEBRUARY 20, 2022

Whether it’s data management, analytics, or scalability, AWS can be the top-notch solution for any SaaS company. Your SaaS company can store and protect any amount of data using Amazon Simple Storage Service (S3), which is ideal for data lakes, cloud-native applications, and mobile apps. Management of data.

Cost-Benefit 138

Cost-Benefit Data Lake Software Machine Learning 138

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 88

Data Lake Metadata Data Processing Big Data 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 105

IT Data Lake Business Services Data Processing 105

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 93

Data Lake Metadata Management Data Processing 93

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 92

Data Lake Data-driven Management Data Architecture 92

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 87

Metadata Data Lake Data Processing Data-driven 87

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 106

Data-driven Data Lake Data Quality Data Governance 106

AWS Big Data

AUGUST 13, 2024

AWS Glue is a serverless data integration service that helps analytics users to discover, prepare, move, and integrate data from multiple sources for analytics, machine learning (ML), and application development. The SFTP connector is used to manage the connection to the SFTP server. Create the gateway endpoint.

Data Processing 99

Data Processing Visualization Data Lake Data Processing 99

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 97

Manufacturing Data Lake Digital Transformation Machine Learning 97

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 73

Data Lake Metadata Unstructured Data Management 73

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 115

Cost-Benefit Data Lake Data Warehouse Data Processing 115

Cloudera

DECEMBER 2, 2021

In addition to AKS and the load balancers mentioned above, this includes VNET, Data Lake Storage, PostgreSQL Azure database, and more. By default Azure Data Lake Storage, PostgreSQL Database, and Virtual Machines are accessible over public endpoints. Network Traffic with the CDP Control Plane. Enter “0.0.0.0/0”

Data Lake 123

Data Lake Data Warehouse Data Processing Interactive 123

AWS Big Data

AUGUST 19, 2024

This involves creating VPC endpoints in both the AWS and Snowflake VPCs, making sure data transfer remains within the AWS network. Use Amazon Route 53 to create a private hosted zone that resolves the Snowflake endpoint within your VPC. Snowflake credentials are securely stored in AWS Secrets Manager.

Analytics 108

Analytics Data-driven Data Integration Data Lake 108

Cloudera

NOVEMBER 18, 2020

Data Impact Achievement Award. United Overseas Bank (UOB), a Singaporean multinational banking organization, is recognized as one of the most excellent and professionally managed financial institutions in Asia. UOB understands that the future is data-driven. Winner: United Overseas Bank. Globe Telecom, Inc. Winner: Telkomsel.

Internet Publishing and Broadcasting 123

Internet Publishing and Broadcasting Data-driven Broadcasting Digital Transformation 123