CIO Business Intelligence

JUNE 24, 2022

Approximately 61% of APAC organizations have failed to build robust and successful digital business business models, primarily due to unsound practices of enterprise architecture (EA) teams, according to a report from Forrester. Enterprise architecture is key to success. “To

Modeling 95

Modeling Digital Transformation Data Architecture Data-driven 95

Cloudera

JUNE 18, 2022

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. On data warehouses and data lakes. Iterations of the lakehouse.

Data Lake 90

Data Lake Data Warehouse Machine Learning Cost-Benefit 90

CIO Business Intelligence

JUNE 23, 2022

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. On data warehouses and data lakes. Iterations of the lakehouse.

Data Lake 82

Data Lake Data Warehouse Machine Learning Cost-Benefit 82

Ontotext

APRIL 10, 2024

The data ecosystem today is crowded with dazzling buzzwords, all fighting for investment dollars. A survey in 2021 found that a data company was being funded every 45 minutes. Data ecosystems have become jungles and in spite of all the technology, data teams are struggling to create a modern data experience.

Metadata 52

Metadata Data Lake Data Warehouse Data Quality 52

Ontotext

NOVEMBER 16, 2023

Data mesh is still in its infancy, and data personas and organizations are craving clarity and specificity. It is critical to be aware of the “why” and “what” and fully understand the role that knowledge graphs play when considering adopting a data mesh strategy. The debate on what constitutes a data mesh rages on.

Metadata 52

Metadata Data-driven Data Quality Data Architecture 52

CIO Business Intelligence

APRIL 12, 2023

By George Trujillo, Principal Data Strategist, DataStax I recently had a conversation with a senior executive who had just landed at a new organization. He had been trying to gather new data insights but was frustrated at how long it was taking. Real-time AI involves processing data for making decisions within a given time frame.

Machine Learning 130

Machine Learning Cost-Benefit Data-driven Strategy 130

AWS Big Data

APRIL 3, 2023

Tens of thousands of customers run business-critical workloads on Amazon Redshift , AWS’s fast, petabyte-scale cloud data warehouse delivering the best price-performance. With Amazon Redshift, you can query data across your data warehouse, operational data stores, and data lake using standard SQL.

Data Warehouse 97

Data Warehouse Testing Data Lake Data-driven 97

CIO Business Intelligence

JUNE 23, 2023

According to the MIT Technology Review Insights Survey, an enterprise data strategy supports vital business objectives including expanding sales, improving operational efficiency, and reducing time to market. The problem is today, just 13% of organizations excel at delivering on their data strategy.

Data Strategy 104

Data Strategy Strategy Visualization Consulting 104

Cloudera

JANUARY 26, 2022

According to 451 Research , 96% of enterprises are actively pursuing a hybrid IT strategy. Modern, real-time businesses require accelerated cycles of innovation that are expensive and difficult to maintain with legacy data platforms. But how did the hybrid cloud come to dominate the data sector? .

Data Processing 83

Data Processing IoT Cost-Benefit Digital Transformation 83

AWS Big Data

JANUARY 8, 2024

We’re living in the age of real-time data and insights, driven by low-latency data streaming applications. The volume of time-sensitive data produced is increasing rapidly, with different formats of data being introduced across new businesses and customer use cases.

Analytics 111

Analytics IoT Data-driven Snapshot 111

DataKitchen

NOVEMBER 4, 2021

Data organizations often have a mix of centralized and decentralized activity. DataOps concerns itself with the complex flow of data across teams, data centers and organizational boundaries. It expands beyond tools and data architecture and views the data organization from the perspective of its processes and workflows.

Data Processing 246

Data Processing Data Lake Cost-Benefit Testing 246

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. Example Corp.

Data Lake 112

Data Lake Analytics Dashboards Metrics 112

Alation

JULY 30, 2021

6 Business Problems Data Catalogs Solve. The question I ask now is: What business problems does a data catalog solve for business customers? 1: Biz Problem – Making Data Accessible & Scalable in the Cloud. CIOs and CDOs are under the gun to deliver results faster, and this includes enabling a data-driven culture.

Data Warehouse 52

Data Warehouse Data Governance Machine Learning Data-driven 52

erwin

DECEMBER 12, 2019

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance.

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

DataKitchen

JANUARY 3, 2022

Data tables from IT and other data sources require a large amount of repetitive, manual work to be used in analytics. The data analytics function in large enterprises is generally distributed across departments and roles. Figure 1: Data analytics challenge – distributed teams must deliver value in collaboration.

Business Analytics 245

Business Analytics Analytics Testing Dashboards 245

AWS Big Data

FEBRUARY 9, 2023

Customers across industries seek meaningful insights from the data captured in their Customer Relationship Management (CRM) systems. To achieve this, they combine their CRM data with a wealth of information already available in their data warehouse, enterprise systems, or other software as a service (SaaS) applications.

Data Warehouse 74

Data Warehouse Data-driven Snapshot Testing 74

Jedox

OCTOBER 22, 2020

The term “data analytics” refers to the process of examining datasets to draw conclusions about the information they contain. Data analysis techniques enhance the ability to take raw data and uncover patterns to extract valuable insights from it. Data analytics is not new.

Data Analytics 69

Data Analytics Analytics Unstructured Data Data mining 69

Cloudera

FEBRUARY 7, 2019

A key pillar in the transformation journey is focused on robust data operations that can help ATB deliver timely, relevant and delightful service. The company sought a data management platform that would allow its enterprise to handle greater data variety, velocity and volume in a cost-effective manner.

Big Data 64

Big Data Data Analytics Analytics Data Architecture 64

Alation

JULY 28, 2022

There was a time when most CIOs would never consider putting their crown jewels — AKA customer data and associated analytics — into the cloud. But today, there is a magic quadrant for cloud databases and warehouses comprising more than 20 vendors. And what must organizations overcome to succeed at cloud data warehousing ?

Data Warehouse 69

Data Warehouse Cost-Benefit Data Governance Data-driven 69

erwin

DECEMBER 12, 2019

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance.

Metadata 52

Metadata Data Governance Digital Transformation Data Quality 52

Cloudera

JULY 11, 2022

The need for data fabric. As Cloudera CMO David Moxey outlined in his blog , we live in a hybrid data world. Data is growing and continues to accelerate its growth. Cloudera data fabric and analyst acclaim. Data fabrics are one of the more mature modern data architectures. As a result, it’s getting ??progressively

Data Architecture 104

Data Architecture Data-driven Cost-Benefit Data Warehouse 104

AWS Big Data

MARCH 25, 2024

FMs are multimodal; they work with different data types such as text, video, audio, and images. Large language models (LLMs) are a type of FM and are pre-trained on vast amounts of text data and typically have application uses such as text generation, intelligent chatbots, or summarization.

Data Lake 90

Data Lake Unstructured Data Management Modeling 90

Cloudera

AUGUST 30, 2022

Data is the fuel that drives government, enables transparency, and powers citizen services. That should be easy, but when agencies don’t share data or applications, they don’t have a unified view of people. Legacy data sharing involves proliferating copies of data, creating data management, and security challenges.

Data Architecture 76

Data Architecture Data Lake Metadata Data Warehouse 76

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 100

Data Warehouse Data Lake Analytics Machine Learning 100

IBM Big Data Hub

FEBRUARY 19, 2024

Data monetization empowers organizations to use their data assets and artificial intelligence (AI) capabilities to create tangible economic value. This value exchange system uses data products to enhance business performance, gain a competitive advantage, and address industry challenges in response to market demand.

Cost-Benefit 70

Cost-Benefit Data-driven Optimization Marketing 70

AWS Big Data

OCTOBER 18, 2023

Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse that provides the flexibility to use provisioned or serverless compute for your analytical workloads. The decoupled compute and storage architecture of Amazon Redshift enables you to build highly scalable, resilient, and cost-effective workloads.

Analytics 95

Analytics Data Warehouse Testing Dashboards 95

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. A read-optimized platform that can integrate data from multiple applications emerged.

Data Lake 52

Data Lake Data Warehouse Data-driven Metadata 52

CIO Business Intelligence

APRIL 5, 2022

Investment in data warehouses is rapidly rising, projected to reach $51.18 billion by 2028 as the technology becomes a vital cog for enterprises seeking to be more data-driven by using advanced analytics. Data warehouses are, of course, no new concept. More data, more demanding. “As

Data Warehouse 86

Data Warehouse Visualization Data-driven Data Architecture 86

CIO Business Intelligence

NOVEMBER 29, 2022

By George Trujillo, Principal Data Strategist, DataStax Innovation is driven by the ease and agility of working with data. Increasing ROI for the business requires a strategic understanding of — and the ability to clearly identify — where and how organizations win with data.

Data Architecture 98

Data Architecture Data Integration IoT Strategy 98

Sisense

SEPTEMBER 3, 2019

This blog is intended to give an overview of the considerations you’ll want to make as you build your Redshift data warehouse to ensure you are getting the optimal performance. roll-ups of many rows of data). As the name suggests, a common use case for this is any transactional data. So let’s dive in! OLTP vs OLAP.

Data Warehouse 78

Data Warehouse OLAP Statistics Cost-Benefit 78

IBM Big Data Hub

APRIL 27, 2022

Data fabric and data mesh are emerging data management concepts that are meant to address the organizational change and complexities of understanding, governing and working with enterprise data in a hybrid multicloud ecosystem. The good news is that both data architecture concepts are complimentary.

Management 87

Management Metadata Data Architecture Data Lake 87

Cloudera

JUNE 30, 2022

We are excited to announce the general availability of Apache Iceberg in Cloudera Data Platform (CDP). These tools empower analysts and data scientists to easily collaborate on the same data, with their choice of tools and analytic engines. Why integrate Apache Iceberg with Cloudera Data Platform?

Data Lake 84

Data Lake Data Architecture Metadata Data Warehouse 84

Alation

DECEMBER 14, 2021

Unburdening IT from infrastructure management has driven an amazing transformation; today, mission-critical applications run across 80 regions in the world, using thousands of services on over 475 instance types. Major shifts around how people use technology and data in the cloud are only just beginning. Can we move that data?”.

Data Lake 52

Data Lake Data Warehouse Machine Learning Cost-Benefit 52

AWS Big Data

JULY 21, 2023

Data-driven organizations treat data as an asset and use it across different lines of business (LOBs) to drive timely insights and better business decisions. This leads to having data across many instances of data warehouses and data lakes using a modern data architecture in separate AWS accounts.

Data Lake 84

Data Lake Data Warehouse Marketing Management 84

Cloudera

AUGUST 9, 2022

The previous decade has seen explosive growth in the integration of data and data-driven insight into a company’s ability to operate effectively, yielding an ever-growing competitive advantage to those that do it well. Data is integral for both long-term strategy and day-to-day, or even minute-to-minute operation.

Data Lake 75

Data Lake Data Warehouse Data-driven IoT 75

AWS Big Data

SEPTEMBER 13, 2023

The Analytics specialty practice of AWS Professional Services (AWS ProServe) helps customers across the globe with modern data architecture implementations on the AWS Cloud. In this post, we discuss a common use case in relation to operational data processing and the solution we built using Apache Hudi and AWS Glue.

Data Lake 90

Data Lake Data Processing Metadata Snapshot 90

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