Alation

FEBRUARY 13, 2020

. - Andreas Kohlmaier, Head of Data Engineering at Munich Re 1. --> Ron Powell, independent analyst and industry expert for the BeyeNETWORK and executive producer of The World Transformed FastForward Series, interviews Andreas Kohlmaier, Head of Data Engineering at Munich Re. Sometimes they didn’t really know about each other.

Data-driven 52

Data-driven Data Lake Enterprise Analytics 52

Boris Evelson

JUNE 14, 2023

Enterprise business intelligence (BI) continues to be the last mile to insights-driven business (IDB) capabilities. No matter what technology foundation you’re using – a data lake, a data warehouse, data fabric, data mesh, etc. The BI market has […]

Business Intelligence 98

Business Intelligence Data Lake Data Warehouse Data-driven 98

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 114

Data Lake Analytics Dashboards Metrics 114

CIO Business Intelligence

APRIL 29, 2022

This first article emphasizes data as the ‘foundation-stone’ of AI-based initiatives. Establishing a Data Foundation. Software development, once solely the domain of human programmers, is now increasingly the by-product of data being carefully selected, ingested, and analysed by machine learning (ML) systems in a recurrent cycle.

Data Governance 145

Data Governance IT Risk Data Lake 145

DataKitchen

AUGUST 3, 2021

The data mesh design pattern breaks giant, monolithic enterprise data architectures into subsystems or domains, each managed by a dedicated team. DataOps helps the data mesh deliver greater business agility by enabling decentralized domains to work in concert. . But first, let’s define the data mesh design pattern.

Data Architecture 246

Data Architecture Data Lake Cost-Benefit Data Warehouse 246

CIO Business Intelligence

MARCH 29, 2024

Generative AI is becoming the virtual knowledge worker with the ability to connect different data points, summarize and synthesize insights in seconds, allowing us to focus on more high-value-add tasks,” says Ritu Jyoti, group vice president of worldwide AI and automation market research and advisory services at IDC. “It

Data Lake 134

Data Lake Machine Learning Data Warehouse Unstructured Data 134

AWS Big Data

JANUARY 17, 2024

With Amazon EMR 6.15, we launched AWS Lake Formation based fine-grained access controls (FGAC) on Open Table Formats (OTFs), including Apache Hudi, Apache Iceberg, and Delta lake. Many large enterprise companies seek to use their transactional data lake to gain insights and improve decision-making.

Data Lake 94

Data Lake Snapshot Big Data Data-driven 94

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 98

Data Lake Data Warehouse Machine Learning Cost-Benefit 98

CIO Business Intelligence

OCTOBER 25, 2022

Data & Analytics is delivering on its promise. Every day, it helps countless organizations do everything from measure their ESG impact to create new streams of revenue, and consequently, companies without strong data cultures or concrete plans to build one are feeling the pressure. We discourage that thinking.

Data Strategy 145

Data Strategy Strategy Data Lake Data-driven 145

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 96

Data Lake Data Warehouse Machine Learning Cost-Benefit 96

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 97

IT Interactive Marketing Consulting 97

CIO Business Intelligence

DECEMBER 6, 2023

Much of our digital agenda is around data. The migration, still in its early stages, is being designed to benefit from the learned efficiencies, proven sustainability strategies, and advances in data and analytics on the AWS platform over the past decade. Before we were quite fragmented across different technologies.

Manufacturing 97

Manufacturing Data Lake Digital Transformation Machine Learning 97

CIO Business Intelligence

MAY 27, 2022

There seems to be a new database for every use case, and data is scattered across many technology silos. Developers who build the real-time experiences that customers love need a tech stack that lets them access data quickly and easily. With an open data stack that just works. Demand for apps isn’t going to slow down.

IT 98

IT Data-driven Data Lake Enterprise 98

CDW Research Hub

JULY 18, 2022

While many organizations understand the business need for a data and analytics cloud platform , few can quickly modernize their legacy data warehouse due to a lack of skills, resources, and data literacy. One modern data platform solution that provides simplicity and flexibility to grow is Snowflake’s data cloud and platform.

Optimization 87

Optimization Data Lake Data Warehouse Manufacturing 87

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

Smart Data Collective

AUGUST 17, 2022

You can safely use an Apache Kafka cluster for seamless data movement from the on-premise hardware solution to the data lake using various cloud services like Amazon’s S3 and others. It is because you usually see Kafka producers publish data or push it towards a Kafka topic so that the application can consume the data.

Data Lake 107

Data Lake Insurance Data-driven Data Processing 107

DataKitchen

JANUARY 25, 2022

Analytics are prone to frequent data errors and deployment of analytics is slow and laborious. When internal resources fall short, companies outsource data engineering and analytics. There’s no shortage of consultants who will promise to manage the end-to-end lifecycle of data from integration to transformation to visualization. .

Consulting 244

Consulting Testing Data Lake Data Quality 244

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 89

Metadata Data Lake Visualization Data Transformation 89

AWS Big Data

JANUARY 31, 2023

Data governance is the collection of policies, processes, and systems that organizations use to ensure the quality and appropriate handling of their data throughout its lifecycle for the purpose of generating business value.

Data Lake 83

Data Lake Data Governance Data Architecture Machine Learning 83

CIO Business Intelligence

JULY 26, 2023

“The only thing we have on premise, I believe, is a data server with a bunch of unstructured data on it for our legal team,” says Grady Ligon, who was named Re/Max’s first CIO in October 2022. As for Keller Williams, Chief Technology and Digital Officer Chris Cox sees the cloud as an engine for innovation. “We

Data Lake 98

Data Lake Digital Transformation Machine Learning Data Architecture 98

Cloudera

JUNE 2, 2022

Since 2015, the Cloudera DataFlow team has been helping the largest enterprise organizations in the world adopt Apache NiFi as their enterprise standard data movement tool. This need has generated a market opportunity for a universal data distribution service. Why does every organization need it when using a modern data stack?

Enterprise 107

Enterprise Data Lake Data Collection Data-driven 107

CIO Business Intelligence

OCTOBER 25, 2023

Our recent data analysis of AI/ML trends and usage confirms this: enterprises across industries have substantially increased their use of generative AI, across many kinds of AI tools. Once shared, this data can be fed into the data lakes used to train large language models (LLMs) and can be discovered by other users.

Enterprise 133

Enterprise Risk Manufacturing Finance 133

Ontotext

MAY 2, 2024

Data leaders today are faced with an almost impossible challenge. They are expected to understand the entire data landscape and generate business-moving insights while facing the voracious needs of different teams and the constraints of technology architecture and compliance.

Metadata 52

Metadata Data Lake Data-driven Enterprise 52

IBM Big Data Hub

JANUARY 19, 2024

The future of customer experience (CX) is more : more data, more technology, more surprising and delighting. Organizations can better personalize at scale using data. Customers will use AI- and ML-driven self-service tools, such as generative AI apps and conversational AI chatbots, to get the information they need.

Data-driven 85

Data-driven Consulting Interactive Data Lake 85

DataKitchen

DECEMBER 9, 2022

ChatGPT> DataOps, or data operations, is a set of practices and technologies that organizations use to improve the speed, quality, and reliability of their data analytics processes. The goal of DataOps is to help organizations make better use of their data to drive business decisions and improve outcomes.

Machine Learning 130

Machine Learning Data-driven Optimization Modeling 130

AWS Big Data

JUNE 28, 2023

Data is at the center of every application, process, and business decision. When data is used to improve customer experiences and drive innovation, it can lead to business growth. According to Forrester , advanced insights-driven businesses are 8.5 Firstly, it invariably requires data engineers to create custom code.

Analytics 70

Analytics Data Warehouse Data Lake Data-driven 70

IBM Big Data Hub

APRIL 15, 2024

Or we create a data lake, which quickly degenerates to a data swamp. Contextual data understanding Data systems often cause major problems in manufacturing firms. IBM built a workforce advisor that uses summarization and contextual data understanding with intent detection and multi-modal interaction.

Manufacturing 93

Manufacturing Contextual Data Knowledge Discovery Data Lake 93

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 91

Data Lake Unstructured Data Management Modeling 91

CIO Business Intelligence

MAY 28, 2022

There seems to be a new database for every use case, and data is scattered across many technology silos. Developers who build the real-time experiences that customers love need a tech stack that lets them access data quickly and easily. With an open data stack that just works. Demand for apps isn’t going to slow down.

IT 59

IT Data-driven Data Lake Enterprise 59

AWS Big Data

NOVEMBER 20, 2023

For any modern data-driven company, having smooth data integration pipelines is crucial. These pipelines pull data from various sources, transform it, and load it into destination systems for analytics and reporting. Undetected errors result in bad data and impact downstream analysis. workerUtilization showed 1.0

Metrics 96

Metrics Data Lake Cost-Benefit Dashboards 96

CIO Business Intelligence

MAY 24, 2022

Just after launching a focused data management platform for retail customers in March, enterprise data management vendor Informatica has now released two more industry-specific versions of its Intelligent Data Management Cloud (IDMC) — one for financial services, and the other for health and life sciences.

Finance 140

Finance Management Metadata Data Quality 140

Cloudera

AUGUST 18, 2021

Data Lifecycle Management: The Key to AI-Driven Innovation. The hard part is to turn aspiration into reality by creating an organization that is truly data-driven. That way, the data can continue generating actionable insights. . Rethinking the Data Lifecycle. technologies.

Data Lake 91

Data Lake IoT Internet of Things Data-driven 91

CIO Business Intelligence

JULY 13, 2022

Since 2015, the Cloudera DataFlow team has been helping the largest enterprise organizations in the world adopt Apache NiFi as their enterprise standard data movement tool. This need has generated a market opportunity for a universal data distribution service. Why does every organization need it when using a modern data stack?

Enterprise 88

Enterprise Data Lake Data Collection Data-driven 88

CIO Business Intelligence

APRIL 24, 2024

The data platform and digital twin AMA is among many organizations building momentum in their digitization. Finally, the flow of AMA reports and activities generates a lot of data for the SAP system, and to be more effective, we’ll start managing it with data and business intelligence.” million tons of waste annually.

Digital Transformation 105

Digital Transformation Business Intelligence Unstructured Data Data Lake 105

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 114

Analytics IoT Data-driven Snapshot 114

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