CIO Business Intelligence

JUNE 9, 2022

All this data arrives by the terabyte, and a data management platform can help marketers make sense of it all. Marketing-focused or not, DMPs excel at negotiating with a wide array of databases, data lakes, or data warehouses, ingesting their streams of data and then cleaning, sorting, and unifying the information therein.

Management 144

Management Advertising Data Lake Sales 144

Smart Data Collective

FEBRUARY 20, 2022

AWS (Amazon Web Services), the comprehensive and evolving cloud computing platform provided by Amazon, is comprised of infrastructure as a service (IaaS), platform as a service (PaaS) and packaged software as a service (SaaS). Companies whose applications are rarely used, such as tax software. Data storage databases. Management.

Cost-Benefit 138

Cost-Benefit Data Lake Software Machine Learning 138

AWS Big Data

MARCH 7, 2024

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. With this massive data growth, data proliferation across your data stores, data warehouse, and data lakes can become equally challenging.

Data Lake 129

Data Lake Analytics Dashboards Metrics 129

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 94

Data Lake Metadata Data Processing Big Data 94

AWS Big Data

MARCH 29, 2024

Typically, you have multiple accounts to manage and run resources for your data pipeline. About the Authors Noritaka Sekiyama is a Principal Big Data Architect on the AWS Glue team. He is responsible for building software artifacts to help customers. Chuhan Liu is a Software Development Engineer on the AWS Glue team.

Metrics 125

Metrics Visualization Dashboards Publishing 125

CIO Business Intelligence

APRIL 9, 2024

Now, thanks to the cooperative’s tight partnership with Microsoft systems integrator Stoneridge Software, as well as Melby’s extensive technology experience, Dairyland — which was formed during the New Deal in the 1930s — has been able to experiment with and put into production some of the earliest Microsoft Azure-based LLMs, Melby says. “We

Digital Transformation 105

Digital Transformation Machine Learning Data Lake Software 105

CIO Business Intelligence

SEPTEMBER 22, 2023

These sources include ad marketplaces that dump statistics about audience engagement and click-through rates, sales software systems that report on customer purchases, and websites — and even storeroom floors — that track engagement. All this data arrives by the terabyte, and a data management platform can help marketers make sense of it all.

Management 105

Management Advertising Data Lake Sales 105

IBM Big Data Hub

MAY 9, 2023

Over the past decade, deep learning arose from a seismic collision of data availability and sheer compute power, enabling a host of impressive AI capabilities. models are trained on IBM’s curated, enterprise-focused data lake, on our custom-designed cloud-native AI supercomputer, Vela. All watsonx.ai

Enterprise 128

Enterprise Technology Modeling Cost-Benefit 128

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 94

Data Lake Data Analytics Analytics Data Processing 94

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. It also helps you securely access your data in operational databases, data lakes, or third-party datasets with minimal movement or copying of data.

Data Warehouse 107

Data Warehouse Data Lake Cost-Benefit Structured Data 107

AWS Big Data

AUGUST 19, 2024

In today’s data-driven world, the ability to seamlessly integrate and utilize diverse data sources is critical for gaining actionable insights and driving innovation. This involves creating VPC endpoints in both the AWS and Snowflake VPCs, making sure data transfer remains within the AWS network.

Analytics 114

Analytics Data-driven Data Integration Data Lake 114

Sisense

DECEMBER 11, 2019

The challenge is to do it right, and a crucial way to achieve it is with decisions based on data and analysis that drive measurable business results. This was the key learning from the Sisense event heralding the launch of Periscope Data in Tel Aviv, Israel — the beating heart of the startup nation. What VCs want from startups.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

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. The software is exactly the same and will remain that way for the foreseeable future.

Data Warehouse 59

Data Warehouse Data Processing Data Lake Testing 59

IBM Big Data Hub

MAY 19, 2023

With the rise of cloud computing, web-based ERP providers increasingly offer Software as a Service (SaaS) solutions, which have become a popular option for businesses of all sizes. Furthermore, TDC Digital had not used any cloud storage solution and experienced latency and downtime while hosting the application in its data center.

Unstructured Data 74

Unstructured Data Data Processing Manufacturing Data Lake 74

CIO Business Intelligence

JULY 29, 2022

Cohorts of the program complete one nine-month and two eight-month rotations in areas such as solutions engineering, software development, architecture, emerging technologies, technology support and operations, information security, or business operations management. The bootcamp broadened my understanding of key concepts in data engineering.

Data Lake 98

Data Lake Software Data Processing Structured Data 98

AWS Big Data

JUNE 6, 2023

It supports both data quality at rest and data quality in AWS Glue extract, transform, and load (ETL) pipelines. Data quality at rest focuses on validating the data stored in data lakes, databases, or data warehouses. It ensures that the data meets specific quality standards before it is consumed.

Data Quality 83

Data Quality Data Lake Visualization Data-driven 83

CIO Business Intelligence

AUGUST 14, 2024

Start where your data is Using your own enterprise data is the major differentiator from open access gen AI chat tools, so it makes sense to start with the provider already hosting your enterprise data. Vladimirskiy passes on Microsoft’s advice to software partners creating their own gen AI products.

Enterprise 136

Enterprise Cost-Benefit Experimentation Modeling 136

AWS Big Data

DECEMBER 13, 2023

Apache Kafka is an open-source distributed event streaming platform used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications. This solution uses Amazon Aurora MySQL hosting the example database salesdb. Vishal Khatri is a Sr.

Data Warehouse 114

Data Warehouse Snapshot Data Processing Internet of Things 114

CIO Business Intelligence

JANUARY 10, 2024

For example, if a cloud vendor hosts a data lake that requires operational technology data to synchronize and feed back into a decision algorithm on the production line, we measure latency. But there are also vendor-specific metrics we define, and we build telemetry using tools based on usage and needs,” the CIO says.

Cost-Benefit 124

Cost-Benefit Measurement Optimization Metrics 124

AWS Big Data

AUGUST 27, 2024

His background is in data warehouse/data lake – architecture, development and administration. He is in data and analytical field for over 14 years. Ramesh Raghupathy is a Senior Data Architect with WWCO ProServe at AWS. While not at work, Ramesh enjoys traveling, spending time with family, and yoga.

Metrics 96

Metrics Dashboards Data Lake Optimization 96

Cloudera

JUNE 6, 2019

The typical Cloudera Enterprise Data Hub Cluster starts with a few dozen nodes in the customer’s datacenter hosting a variety of distributed services. Over time, workloads start processing more data, tenants start onboarding more workloads, and administrators (admins) start onboarding more tenants. Cloudera Manager (CM) 6.2

Metadata 86

Metadata Data Lake Optimization Strategy 86

Cloudera

AUGUST 21, 2020

How do we maintain visibility to all data and systems for security/compliance? In the hyper-drive to “Move To The Cloud”, software vendors and Cloud Service Providers (CSPs) see these big data clusters as fantastic prospects for generating big revenue. But the “elephant in the room” is NOT ‘Hadoop’.

Cost-Benefit 76

Cost-Benefit Big Data ROI Risk 76

CIO Business Intelligence

JANUARY 30, 2024

“Always the gatekeepers of much of the data necessary for ESG reporting, CIOs are finding that companies are even more dependent on them,” says Nancy Mentesana, ESG executive director at Labrador US, a global communications firm focused on corporate disclosure documents. What companies need more than anything is good data for ESG reporting.

Reporting 115

Reporting Data Quality Strategy Data-driven 115

Sisense

OCTOBER 6, 2020

As quantitative data is always numeric, it’s relatively straightforward to put it in order, manage it, analyze it, visualize it, and do calculations with it. Spreadsheet software like Excel, Google Sheets, or traditional database management systems all mainly deal with quantitative data.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

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 118

Management Metrics Cost-Benefit Data Lake 118

AWS Big Data

JANUARY 22, 2024

Cost and resource efficiency – This is an area where Acast observed a reduction in data duplication, and therefore cost reduction (in some accounts, removing the copy of data 100%), by reading data across accounts while enabling scaling. In this approach, teams responsible for generating data are referred to as producers.

Data-driven 107

Data-driven Advertising Metadata Data Architecture 107

Sisense

NOVEMBER 12, 2020

A traditional data warehouse is typically a multi-tiered series of servers, data stores, and applications. While the organization of these layers has been refined over the years, the interoperability of the technologies, the myriad software, and orchestration of the systems make the management of these systems a challenge.

Data Warehouse 52

Data Warehouse Data Lake OLAP Data-driven 52

AWS Big Data

MARCH 26, 2024

AWS Glue Data Quality checks for and alerts on poor data, making it straightforward to spot and fix issues before they harm your business. AWS Data Exchange makes it straightforward to find, subscribe to, and use third-party data for analytics. Let’s find out what role each of these components play in the context of C360.

Data Strategy 84

Data Strategy Strategy Data Warehouse Prescriptive Analytics 84

DataRobot Blog

MARCH 7, 2023

Unique to DataRobot, this service helps customers with specific data management or data sovereignty needs, as well as organizations interested in outsourcing the IT management and set up of new software purchases.

Data-driven 59

Data-driven Machine Learning Experimentation Data Lake 59

AWS Big Data

MARCH 20, 2023

The data from the Kinesis data stream is consumed by two applications: A Spark streaming application on Amazon EMR is used to write data from the Kinesis data stream to a data lake hosted on Amazon Simple Storage Service (Amazon S3) in a partitioned way.

Analytics 52

Analytics Slice and Dice Data Processing Data Lake 52

Domino Data Lab

APRIL 3, 2019

I have expertise in data science, plus adjacent fields such as cloud computing, software architecture, natural language, data management… So I should have a good working knowledge about the topic – but I didn’t. Software startups gained much more attention. in lieu of simply landing in a data lake.

Machine Learning 84

Machine Learning Data Governance Metadata Data Science 84

AWS Big Data

JUNE 7, 2023

Cargotec captures terabytes of IoT telemetry data from their machinery operated by numerous customers across the globe. This data needs to be ingested into a data lake, transformed, and made available for analytics, machine learning (ML), and visualization. He has several years of software engineering and ML background.

Metadata 59

Metadata Data Lake Machine Learning Big Data 59

IBM Big Data Hub

FEBRUARY 2, 2023

The rise of cloud has allowed data warehouses to provide new capabilities such as cost-effective data storage at petabyte scale, highly scalable compute and storage, pay-as-you-go pricing and fully managed service delivery. Companies are shifting their investments to cloud software and reducing their spend on legacy infrastructure.

Data Warehouse 56

Data Warehouse Cost-Benefit Unstructured Data Data Architecture 56

BizAcuity

MAY 10, 2022

VMs are nothing but systems that work as computers (using hardware or software) to provide an additional computational environment for enterprises. Storing data is extremely expensive even with VMs during this time. The platform is built on S3 and EC2 using a hosted Hadoop framework. Cloud became a competitive advantage.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

IBM Big Data Hub

JULY 17, 2023

IBM software products are embedding watsonx capabilities across digital labor, IT automation, security, sustainability, and application modernization to help unlock new levels of business value for clients. Our approach to an open data lakehouse architecture combines the best of IBM with the best of open source.

Machine Learning 62

Machine Learning Data Warehouse Modeling Cost-Benefit 62

AWS Big Data

APRIL 28, 2023

In this example, the analytics tool accesses the data lake on Amazon Simple Storage Service (Amazon S3) through Athena queries. As the data mesh pattern expands across domains covering more downstream services, we need a mechanism to keep IdPs and IAM role trusts continuously updated.

Data Governance 72

Data Governance Management Data-driven Analytics 72

AWS Big Data

AUGUST 28, 2023

Amazon Security Lake centralizes access and management of your security data by aggregating security event logs from AWS environments, other cloud providers, on premise infrastructure, and other software as a service (SaaS) solutions. Optionally, specify the Amazon S3 storage class for the data in Amazon Security Lake.

Dashboards 52

Dashboards Visualization Metadata Management 52