CIO Business Intelligence

DECEMBER 7, 2023

As a global company with more than 6,000 employees, BMC faces many of the same data challenges that other large enterprises face. The organization has 500 applications for business services, 80,000 VMs, 3,000 hosts, and more than 100,000 containers. Given the sheer volume of enterprise data, it’s impossible to do this manually.

IT 90

IT Data Lake Business Services Data Processing 90

AWS Big Data

DECEMBER 21, 2023

This is a guest post co-written by Alex Naumov, Principal Data Architect at smava. smava believes in and takes advantage of data-driven decisions in order to become the market leader. smava believes in and takes advantage of data-driven decisions in order to become the market leader.

Data Lake 91

Data Lake Data Warehouse Data-driven B2B 91

DataKitchen

NOVEMBER 29, 2021

DataOps adoption continues to expand as a perfect storm of social, economic, and technological factors drive enterprises to invest in process-driven innovation. Many in the data industry recognize the serious impact of AI bias and seek to take active steps to mitigate it. Data Gets Meshier. Companies Commit to Remote.

Testing 245

Testing Data Lake Data Architecture Manufacturing 245

CIO Business Intelligence

DECEMBER 6, 2023

Much of our digital agenda is around data. 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. Before we were quite fragmented across different technologies.

Manufacturing 72

Manufacturing Data Lake Digital Transformation Machine Learning 72

CIO Business Intelligence

JANUARY 20, 2023

Truly data-driven companies see significantly better business outcomes than those that aren’t. But to get maximum value out of data and analytics, companies need to have a data-driven culture permeating the entire organization, one in which every business unit gets full access to the data it needs in the way it needs it.

Data Lake 119

Data Lake Data-driven Finance Data Architecture 119

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

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 84

Data Warehouse Data Lake Cost-Benefit Structured Data 84

IBM Big Data Hub

JUNE 15, 2023

There’s no debate that the volume and variety of data is exploding and that the associated costs are rising rapidly. The proliferation of data silos also inhibits the unification and enrichment of data which is essential to unlocking the new insights. Enter the open data lakehouse.

Data Warehouse 88

Data Warehouse Data Lake Optimization Data-driven 88

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

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

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

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

AWS Big Data

MARCH 29, 2024

QuickSight makes it straightforward for business users to visualize data in interactive dashboards and reports. You can slice data by different dimensions like job name, see anomalies, and share reports securely across your organization. With these insights, teams have the visibility to make data integration pipelines more efficient.

Metrics 107

Metrics Visualization Dashboards Interactive 107

AWS Big Data

NOVEMBER 8, 2023

Join us as we delve into the world of real-time streaming data at re:Invent 2023 and discover how you can use real-time streaming data to build new use cases, optimize existing projects and processes, and reimagine what’s possible. High-quality data is not just about accuracy; it’s also about timeliness. Register now!

Data-driven 91

Data-driven Data Lake Machine Learning Cost-Benefit 91

AWS Big Data

NOVEMBER 22, 2023

Today, we’re making available a new capability of AWS Glue Data Catalog that allows generating column-level statistics for AWS Glue tables. 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.

Statistics 103

Statistics Data Lake Optimization Data-driven 103

AWS Big Data

JUNE 6, 2023

Data is the lifeblood of modern businesses. In today’s data-driven world, companies rely on data to make informed decisions, gain a competitive edge, and provide exceptional customer experiences. However, not all data is created equal. AWS Glue Data Quality measures and monitors the quality of your dataset.

Data Quality 70

Data Quality Data Lake Visualization Data-driven 70

Cloudera

NOVEMBER 18, 2020

During the first-ever virtual broadcast of our annual Data Impact Awards (DIA) ceremony, we had the great pleasure of announcing this year’s finalists and winners. In fact, each of the 29 finalists represented organizations running cutting-edge use cases that showcase a winning enterprise data cloud strategy. Data Champions .

Internet Publishing and Broadcasting 121

Internet Publishing and Broadcasting Data-driven Broadcasting Digital Transformation 121

Cloudera

OCTOBER 25, 2022

Enabling data and analytics in the cloud allows you to have infinite scale and unlimited possibilities to gain faster insights and make better decisions with data. 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. We use Okta as the IdP for this demonstration.

Analytics 96

Analytics Data Lake Management Enterprise 96

erwin

APRIL 2, 2021

Organizations are managing more data than ever. With more companies increasingly migrating their data to the cloud to ensure availability and scalability, the risks associated with data management and protection also are growing. Data Security Starts with Data Governance. Who is authorized to use it and how?

Data Governance 106

Data Governance Cost-Benefit Risk Metadata 106

Sisense

DECEMBER 11, 2019

With data growing at a staggering rate, managing and structuring it is vital to your survival. In this piece, we detail the Israeli debut of Periscope Data. Driving startup growth with the power of data. Driving startup growth with the power of data. The rise of the data team: from startup to unicorn.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

AWS Big Data

JANUARY 22, 2024

The company uses AWS Cloud services to build data-driven products and scale engineering best practices. To ensure a sustainable data platform amid growth and profitability phases, their tech teams adopted a decentralized data mesh architecture. The solution Acast implemented is a data mesh, architected on AWS.

Data-driven 87

Data-driven Advertising Metadata Data Architecture 87

AWS Big Data

MARCH 20, 2023

We discuss how to create such a solution using Amazon Kinesis Data Streams , Amazon Managed Streaming for Kafka (Amazon MSK), Amazon Kinesis Data Analytics for Apache Flink ; the design decisions that went into the architecture; and the observed business benefits by Poshmark.

Analytics 52

Analytics Slice and Dice Data Processing Data Lake 52

CIO Business Intelligence

JANUARY 30, 2024

The foundation for ESG reporting, of course, is data. What companies need more than anything is good data for ESG reporting. That means ensuring ESG data is available, transparent, and actionable, says Ivneet Kaur, EVP and chief information technology officer at identity services provider Sterling.

Reporting 93

Reporting Data Quality Strategy Data-driven 93

AWS Big Data

DECEMBER 18, 2023

AWS Step Functions is a fully managed visual workflow service that enables you to build complex data processing pipelines involving a diverse set of extract, transform, and load (ETL) technologies such as AWS Glue , Amazon EMR , and Amazon Redshift. The data is then cleansed, transformed, and uploaded to Amazon S3 for further processing.

Metadata 122

Metadata Visualization Data Lake Data-driven 122

AWS Big Data

MARCH 26, 2024

This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. 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.

Data Strategy 69

Data Strategy Strategy Data Warehouse Prescriptive Analytics 69

Cloudera

SEPTEMBER 2, 2020

Additionally, lines of business (LOBs) are able to gain access to a shared data lake that is secured and governed by the use of Cloudera Shared Data Experience (SDX). According to 451 Research’s Voice of the Enterprise: Cloud, Hosting & Managed Services study, 58% of Enterprises are moving towards a hybrid IT environment.

Cost-Benefit 67

Cost-Benefit Data Warehouse Data Lake Machine Learning 67

Sisense

NOVEMBER 12, 2020

Data warehouse vs. databases Traditional vs. Cloud Explained Cloud data warehouses in your data stack A data-driven future powered by the cloud. We live in a world of data: There’s more of it than ever before, in a ceaselessly expanding array of forms and locations. And where does all this data live?

Data Warehouse 52

Data Warehouse Data Lake OLAP Data-driven 52

AWS Big Data

MARCH 6, 2024

Part 1 of this two-part series described how to build a pseudonymization service that converts plain text data attributes into a pseudonym or vice versa. Consequently, an organization can achieve a standard process to handle sensitive data across all platforms.

Metrics 96

Metrics Statistics Testing Data Lake 96

AWS Big Data

JULY 14, 2023

FinAuto has a unique position to look across FinOps and provide solutions that help satisfy multiple use cases with accurate, consistent, and governed delivery of data and related services. These datasets can then be used to power front end systems, ML pipelines, and data engineering teams.

Finance 85

Finance Metadata Big Data Recreation/Entertainment 85

datapine

APRIL 15, 2020

It’s necessary to say that these processes are recurrent and require continuous evolution of reports, online data visualization , dashboards, and new functionalities to adapt current processes and develop new ones. Discover the available data sources. ” “What do our users actually need?”. Determine BI funding and support.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

Cloudera

MAY 12, 2021

2020 saw us hosting our first ever fully digital Data Impact Awards ceremony, and it certainly was one of the highlights of our year. We saw a record number of entries and incredible examples of how customers were using Cloudera’s platform and services to unlock the power of data. DATA FOR ENTERPRISE AI.

Digital Transformation 68

Digital Transformation Machine Learning Optimization Data Lake 68

Sisense

OCTOBER 6, 2020

Digging into quantitative data Why is quantitative data important What are the problems with quantitative data Exploring qualitative data Qualitative data benefits Getting the most from qualitative data Better together. Almost every modern organization is now a data-generating machine. or “how often?”

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

IBM Big Data Hub

FEBRUARY 2, 2023

In today’s world, data warehouses are a critical component of any organization’s technology ecosystem. 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.

Data Warehouse 56

Data Warehouse Cost-Benefit Unstructured Data Data Architecture 56

bridgei2i

MARCH 3, 2021

Episode 4: Unlocking the Value of Enterprise AI with Data Engineering Capabilities. Unlocking the Value of Enterprise AI with Data Engineering Capabilities. They discuss how the data engineering team is instrumental in easing collaboration between analysts, data scientists and ML engineers to build enterprise AI solutions.

Enterprise 98

Enterprise Digital Transformation Data-driven Interactive 98

CIO Business Intelligence

JUNE 1, 2022

Then, at the top of the pyramid, is full automation with AI-driven conversation capabilities. What data do you collect from those channels? Finally, make sure you understand your data, because no machine learning solution will work for you if you aren’t working with the right data. Data lakes have a new consumer in AI.

IT 72

IT Interactive Marketing Consulting 72

AWS Big Data

JUNE 6, 2023

Amazon EMR on EKS provides a deployment option for Amazon EMR that allows organizations to run open-source big data frameworks on Amazon Elastic Kubernetes Service (Amazon EKS). Additionally, you can use the Data on EKS blueprint to deploy the entire infrastructure using Terraform templates. impl: org.apache.hadoop.fs.s3.EMRFSDelegate

Optimization 72

Optimization Data Lake Cost-Benefit Management 72