CIO Business Intelligence

AUGUST 2, 2023

A data and analytics capability cannot emerge from an IT or business strategy alone. With both technology and business organization deeply involved in the what, why, and how of data, companies need to create cross-functional data teams to get the most out of it. Who has access to the data?

Manufacturing 98

Manufacturing Data Architecture Strategy Data Strategy 98

CIO Business Intelligence

APRIL 12, 2023

After walking his executive team through the data hops, flows, integrations, and processing across different ingestion software, databases, and analytical platforms, they were shocked by the complexity of their current data architecture and technology stack. It isn’t easy.

Machine Learning 145

Machine Learning Cost-Benefit Data-driven Strategy 145

CIO Business Intelligence

APRIL 25, 2022

The other 10% represents the effort of initial deployment, data-loading, configuration and the setup of administrative tasks and analysis that is specific to the customer, the Henschen said. The joint solution with Labelbox is targeted toward media companies and is expected to help firms derive more value out of unstructured data.

Recreation/Entertainment 119

Recreation/Entertainment Data Lake Data Warehouse Unstructured Data 119

CIO Business Intelligence

JUNE 28, 2023

These circumstances have induced uncertainty across our entire business value chain,” says Venkat Gopalan, chief digital, data and technology officer, Belcorp. “As The initial stage involved establishing the data architecture, which provided the ability to handle the data more effectively and systematically. “We

Digital Transformation 105

Digital Transformation Cost-Benefit Informatics Data mining 105

IBM Big Data Hub

SEPTEMBER 19, 2023

Data analytics is a task that resides under the data science umbrella and is done to query, interpret and visualize datasets. Data scientists will often perform data analysis tasks to understand a dataset or evaluate outcomes. It can also be challenging to operationalize data analytics models.

Data Science 77

Data Science Data Analytics Prescriptive Analytics Analytics 77

CDW Research Hub

JULY 27, 2021

Companies feel locked into these systems as they are often tied to business-critical operations. Cloud-based solutions are promising, but some organizations are reluctant to migrate from legacy systems because it could result in costly downtime and many unknown data architecture and migration issues. Contact us to learn more.

Data Warehouse 52

Data Warehouse Data Lake Data Architecture Consulting 52

TDAN

MAY 31, 2022

As we enter a new cloud-first era, advancements in technology have helped companies capture and capitalize on data as much as possible. Deciding between which cloud architecture to use has always been a debate between two options: data warehouses and data lakes.

Data Lake 52

Data Lake Data Warehouse Technology Data Architecture 52

AWS Big Data

AUGUST 31, 2023

Amazon Redshift is a fast, fully managed petabyte-scale cloud data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing business intelligence (BI) tools. Amazon Redshift also supports querying nested data with complex data types such as struct, array, and map.

Data Lake 95

Data Lake Data Warehouse Metadata Data Architecture 95

Data Virtualization

JANUARY 19, 2023

Reading Time: 2 minutes Today, many businesses are modernizing their on-premises data warehouses or cloud-based data lakes using Microsoft Azure Synapse Analytics. Unfortunately, with data spread.

Data Analytics 52

Data Analytics Data Lake Data Warehouse Analytics 52

Peter James Thomas

AUGUST 18, 2018

That was the Science, here comes the Technology… A Brief Hydrology of Data Lakes. Overlapping with the above, from around 2012, I began to get involved in also designing and implementing Big Data Architectures; initially for narrow purposes and later Data Lakes spanning entire enterprises.

Data Lake 63

Data Lake Data Warehouse Data mining Statistics 63

IBM Big Data Hub

FEBRUARY 2, 2023

In today’s world, data warehouses are a critical component of any organization’s technology ecosystem. They provide the backbone for a range of use cases such as business intelligence (BI) reporting, dashboarding, and machine-learning (ML)-based predictive analytics, that enable faster decision making and insights.

Data Warehouse 56

Data Warehouse Cost-Benefit Unstructured Data Data Architecture 56

Jedox

OCTOBER 22, 2020

Today, though, the growing volume of data (currently measured in brontobytes = 10^ 27th power) and the advanced technologies available mean you can get much deeper insights much faster than you could in the past. In addition to using data to inform your future decisions, you can also use current data to make immediate decisions.

Data Analytics 69

Data Analytics Analytics Unstructured Data Data mining 69

Cloudera

DECEMBER 19, 2018

Growth factors and business priority are ever changing. Don’t blink or you might miss what leading organizations are doing to modernize their analytic and data warehousing environments. Natural language analytics and streaming data analytics are emerging technologies that will impact the market.

Data Warehouse 53

Data Warehouse Analytics Big Data Data Architecture 53

TDAN

JUNE 16, 2020

When companies embark on a journey of becoming data-driven, usually, this goes hand in and with using new technologies and concepts such as AI and data lakes or Hadoop and IoT. Suddenly, the data warehouse team and their software are not the only ones anymore that turn data […].

Data Warehouse 52

Data Warehouse Data-driven Data Lake IoT 52

CIO Business Intelligence

SEPTEMBER 21, 2023

We’ve never had a technology touch everyone so rapidly.” It made predictions and analytics broadly accessible and put the power of data in the hands of people who needed it, exactly when they needed it, and in the form that was most useful to them. With new technology deployments, security often comes as an afterthought.

Enterprise 130

Enterprise Consulting Modeling Cost-Benefit 130

AWS Big Data

JULY 28, 2023

Recently, Athena added support for creating and querying views on federated data sources to bring greater flexibility and ease of use to use cases such as interactive analysis and business intelligence reporting. The term data mesh refers to a data architecture with decentralized data ownership.

Big Data 82

Big Data Data Architecture Data Lake Interactive 82

AWS Big Data

NOVEMBER 9, 2023

This process has been scheduled to run daily, ensuring a consistent batch of fresh data for analysis. AWS Glue – AWS Glue is used to load files into Amazon Redshift through the S3 data lake. You can also use features like auto-copy from Amazon S3 (feature under preview) to ingest data from Amazon S3 to Amazon Redshift.

Data Warehouse 107

Data Warehouse Testing Data Quality Reporting 107

Cloudera

AUGUST 30, 2022

Modern data architectures. To eliminate or integrate these silos, the public sector needs to adopt robust data management solutions that support modern data architectures (MDAs). Towards Data Science ). Deploying modern data architectures. Forrester ).

Data Architecture 80

Data Architecture Data Lake Metadata Data Warehouse 80

CIO Business Intelligence

APRIL 4, 2023

AI Potential: Powering Our World and Your Business That’s because AI promises to be one of the most transformational technologies of our time. Despite these AI-powered examples, businesses have only just begun to embrace AI, with an estimated 12% fully using AI technology. 1 But this is changing rapidly. MB every second.

Data Architecture 52

Data Architecture Data Lake Data Warehouse Cost-Benefit 52

AWS Big Data

JUNE 9, 2023

A modern data architecture enables companies to ingest virtually any type of data through automated pipelines into a data lake, which provides highly durable and cost-effective object storage at petabyte or exabyte scale.

Data Lake 116

Data Lake Metadata Optimization Statistics 116

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 89

Data Lake Analytics Snapshot Optimization 89

CIO Business Intelligence

NOVEMBER 25, 2022

Carhartt’s signature workwear is near ubiquitous, and its continuing presence on factory floors and at skate parks alike is fueled in part thanks to an ongoing digital transformation that is advancing the 133-year-old Midwest company’s operations to make the most of advanced digital technologies, including the cloud, data analytics, and AI.

Data Lake 128

Data Lake Data Warehouse Unstructured Data Data Architecture 128

IBM Big Data Hub

JANUARY 18, 2023

Data platform architecture has an interesting history. Towards the turn of millennium, enterprises started to realize that the reporting and business intelligence workload required a new solution rather than the transactional applications. It required a different data platform solution. It was Datawarehouse.

Data Lake 52

Data Lake Data Warehouse Data-driven Metadata 52

CIO Business Intelligence

MARCH 9, 2022

However, they do contain effective data management, organization, and integrity capabilities. As a result, users can easily find what they need, and organizations avoid the operational and cost burdens of storing unneeded or duplicate data copies. Warehouse, data lake convergence. Meet the data lakehouse.

Data Lake 119

Data Lake Unstructured Data Data Warehouse Data Quality 119

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 88

Data Warehouse Data Lake Cost-Benefit Structured Data 88

AWS Big Data

NOVEMBER 29, 2023

In 2013, Amazon Web Services revolutionized the data warehousing industry by launching Amazon Redshift , the first fully-managed, petabyte-scale, enterprise-grade cloud data warehouse. Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools.

Data Warehouse 103

Data Warehouse Data Lake Analytics Machine Learning 103

Data Virtualization

MARCH 3, 2021

Data is the fuel of the digital economy, so data-centric organizations have a distinct advantage. To remain competitive, organizations must have a data management strategy in place to effectively ingest, store, organize, and analyze data while ensuring that it is.

Enterprise 75

Enterprise Management Strategy Data Lake 75

BizAcuity

APRIL 14, 2022

Big Data technology in today’s world. Did you know that the big data and business analytics market is valued at $198.08 Or that the US economy loses up to $3 trillion per year due to poor data quality? quintillion bytes of data which means an average person generates over 1.5 billion in 2020?

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

Data Virtualization

MARCH 3, 2021

Data is the fuel of the digital economy, so data-centric organizations have a distinct advantage. To remain competitive, organizations must have a data management strategy in place to effectively ingest, store, organize, and analyze data while ensuring that it is.

Management 59

Management Enterprise Strategy IT 59

AWS Big Data

JANUARY 22, 2024

The majority of data produced by these accounts is used downstream for business intelligence (BI) purposes and in Amazon Athena , by hundreds of business users every day. The solution Acast implemented is a data mesh, architected on AWS.

Data-driven 88

Data-driven Advertising Metadata Data Architecture 88

Data Virtualization

MARCH 3, 2021

Data is the fuel of the digital economy, so data-centric organizations have a distinct advantage. To remain competitive, organizations must have a data management strategy in place to effectively ingest, store, organize, and analyze data while ensuring that it is.

Management 52

Management Enterprise Strategy IT 52

CIO Business Intelligence

JANUARY 30, 2024

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. There are several things you need to report attached to that number.”

Reporting 115

Reporting Data Quality Strategy Data-driven 115

AWS Big Data

JUNE 10, 2024

This amalgamation empowers vendors with authority over a diverse range of workloads by virtue of owning the data. This authority extends across realms such as business intelligence, data engineering, and machine learning thus limiting the tools and capabilities that can be used. 5 seconds $0.08 8 seconds $0.07

Data Lake 94

Data Lake Metadata Snapshot Analytics 94

BI-Survey

AUGUST 21, 2020

Advanced analytics and new ways of working with data also create new requirements that surpass the traditional concepts. But what are the right measures to make the data warehouse and BI fit for the future? What role do technology and IT infrastructure play? Can the basic nature of the data be proactively improved?

Data Warehouse 98

Data Warehouse Data Lake Data Governance Data Architecture 98

Peter James Thomas

MAY 3, 2019

The flip side is that making the necessary investments to provide even basic information has been at the heart of the successful business turnarounds that I have been involved in. The bulk of Business Intelligence efforts would also fall into this area, but there is some overlap with the area I next describe as well.

Strategy 55

Strategy Data Architecture Data Quality Data Strategy 55

CIO Business Intelligence

MAY 12, 2022

Greg Sly, Verizon’s senior vice president of infrastructure and platform services, oversees storage, compute, and networks related to data centers that serve Verizon, along with a set of CIO-level responsibilities, including supporting all the technology used by the company’s employees to run its corporate offices and retail operations.

Testing 98

Testing Data Lake Advertising Marketing 98

AWS Big Data

NOVEMBER 13, 2023

Also hear from customer speakers with real-world examples of how they’ve used their data to support their generative AI use cases and create new experiences for their customers. KEY005 | Dr. Werner Vogels (Vice President and Chief Technology Officer, Amazon.com) | Nov.

Analytics 112

Analytics Data Lake Data Warehouse Data-driven 112