AWS Big Data

JUNE 23, 2023

Events and many other security data types are stored in Imperva’s Threat Research Multi-Region data lake. Imperva harnesses data to improve their business outcomes. As part of their solution, they are using Amazon QuickSight to unlock insights from their data.

Data Lake 69

Data Lake Cost-Benefit Dashboards Data Warehouse 69

AWS Big Data

AUGUST 3, 2023

With the rapid growth of technology, more and more data volume is coming in many different formats—structured, semi-structured, and unstructured. Data analytics on operational data at near-real time is becoming a common need. Then we can query the data with Amazon Athena visualize it in Amazon QuickSight.

Data Lake 80

Data Lake Visualization Dashboards Insurance 80

Sisense

DECEMBER 23, 2019

Artificial Intelligence and machine learning are the future of every industry, especially data and analytics. In Growing Up with AI , we help you keep up with all the ways this pioneering technology is changing the world. Once your data is prepared for analysis, the next question is: how else can AI help you?

Data Lake 86

Data Lake Machine Learning Data Warehouse Digital Transformation 86

Timo Elliott

NOVEMBER 21, 2022

Last week I was in beautiful Sydney, Australia for the Gartner Data and Analytics Conference. Here’s a quick video summary: One of the big things that struck me was the changing role of data. Data is useless. It’s possible, but it takes huge amounts of time and effort.

Data Analytics 98

Data Analytics Analytics Recreation/Entertainment Data Lake 98

erwin

AUGUST 15, 2022

For NoSQL, data lakes, and data lake houses—data modeling of both structured and unstructured data is somewhat novel and thorny. This blog is an introduction to some advanced NoSQL and data lake database design techniques (while avoiding common pitfalls) is noteworthy. Analytical.

Data Lake 52

Data Lake Modeling Unstructured Data Data Warehouse 52

CIO Business Intelligence

SEPTEMBER 20, 2023

Mark Booth: We have a growth strategy to improve our business, and to support that, we’re driving a transformation in technology and business processes. But the more challenging work is in making our processes as efficient as possible so we capture the right data in our desire to become a more data-driven business.

Data Lake 135

Data Lake Data-driven Dashboards Risk 135

AWS Big Data

MARCH 26, 2024

We are delighted to announce the release of the Data Analytics Lens. Using the Lens in the Tool’s Lens Catalog, you can directly assess your Analytics workload in the console, and produce a set of actionable results for customized improvement plans recommended by the Tool. What’s new in the Data Analytics Lens?

Data Analytics 55

Data Analytics Analytics Big Data Data Lake 55

Timo Elliott

MAY 27, 2022

I was at the Gartner Data & Analytics conference in London a couple of weeks ago and I’d like to share some thoughts on what I think was interesting, and what I think I learned…. First, data is by default, and by definition, a liability , because it costs money and has risks associated with it.

Data Analytics 123

Data Analytics Analytics Recreation/Entertainment Data Lake 123

CIO Business Intelligence

DECEMBER 19, 2023

In recent years, government agencies have increasingly turned to cloud computing to manage vast amounts of data and streamline operations. While cloud technology has many benefits, it also poses security risks, especially when it comes to protecting sensitive information. Support for future AI development Secretary of State Antony J.

Data Lake 110

Data Lake Management Cost-Benefit Data Processing 110

David Menninger's Analyst Perspectives

FEBRUARY 17, 2022

For example, I have previously written about the valuable connection between the use of data catalogs and satisfaction with an organization’s data lake. Our most recent Analytics and Data Benchmark Research demonstrates some of the beneficial links between data governance and analytics.

Data Governance 225

Data Governance Data Lake Analytics Technology 225

CIO Business Intelligence

DECEMBER 13, 2022

In this CIO Executive Council Future Forward podcast, we talk with DaVita’s technology chief about the company’s plan to expand activities from CKD treatment to disease prevention. Cullop also talks about DaVita’s strategies for AI and data analytics, as well as the importance of passion and culture as drivers of technology innovation.

Strategy 98

Strategy Technology Digital Transformation Data Lake 98

David Menninger's Analyst Perspectives

APRIL 21, 2021

Trying to get ahead of the backlog with incremental improvements to existing approaches and traditional technologies alone can be frustrating. This can potentially slow down the organizational functions which depend on the analysis results.

Analytics 313

Analytics Technology Data Lake Data Governance 313

BI-Survey

APRIL 4, 2019

A fter the hype comes disillusionment and the growing realization that Hadoop and data lakes do not provide the answer for all analytic tasks. However, that is not to say the technology and concept do not have great potential. Hadoop and Data Lakes Report. Use Cases, Benefits and Limitations.

Data Lake 40

Data Lake Reporting Technology Analytics 40

DataKitchen

NOVEMBER 4, 2021

The requirement to integrate enormous quantities and varieties of data coupled with extreme pressure on analytics cycle time has driven the pharmaceutical industry to lead in DataOps adoption. The bottom line is how to attain analytic agility? It often takes months to progress from a data lake to the final delivery of insights.

Data Processing 246

Data Processing Data Lake Cost-Benefit Testing 246

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

AWS Big Data

DECEMBER 21, 2023

As the volume and complexity of analytics workloads continue to grow, customers are looking for more efficient and cost-effective ways to ingest and analyse data. OpenSearch Service is used for multiple purposes, such as observability, search analytics, consolidation, cost savings, compliance, and integration.

Analytics 96

Analytics IT Data Lake Visualization 96

IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 84

Data Science Data Analytics Prescriptive Analytics Analytics 84

Juice Analytics

MAY 11, 2020

Among all the technologies and initiatives that respondents consider important, the item that topped the list was reporting. Among all the hot analytics initiatives to choose from (big data, IoT, NLP, data storytelling, cognitive BI, GDPR), plain old reporting is what is considered the most important strategic initiative.

Reporting 115

Reporting Analytics IT Data Lake 115

AWS Big Data

MARCH 7, 2023

This post provides guidance on how to build scalable analytical solutions for gaming industry use cases using Amazon Redshift Serverless. Flexible and easy to use – The solutions should provide less restrictive, easy-to-access, and ready-to-use data. Data hubs and data lakes can coexist in an organization, complementing each other.

Analytics 71

Analytics Data Warehouse Data Lake Metadata 71

David Menninger's Analyst Perspectives

NOVEMBER 30, 2021

TIBCO is a large, independent cloud-computing and data analytics software company that offers integration, analytics, business intelligence and events processing software. It enables organizations to analyze streaming data in real time and provides the capability to automate analytics processes.

Analytics 160

Analytics Data Warehouse Business Intelligence Software 160

AWS Big Data

JUNE 6, 2023

SumUp is a leading global financial technology company driven by the purpose of leveling the playing field for small businesses. Unless, of course, the rest of their data also resides in the Google Cloud. Unless, of course, the rest of their data also resides in the Google Cloud. For more information, please visit sumup.co.uk.

Analytics 55

Analytics Data Lake Testing Optimization 55

Smart Data Collective

OCTOBER 27, 2021

An interactive analytics application gives users the ability to run complex queries across complex data landscapes in real-time: thus, the basis of its appeal. Interactive analytics applications present vast volumes of unstructured data at scale to provide instant insights. Why Use an Interactive Analytics Application?

Interactive 111

Interactive Unstructured Data Analytics Data Warehouse 111

CIO Business Intelligence

APRIL 26, 2024

billion acquisition of data and analytics company Neustar in 2021, TransUnion has expanded into other services such as marketing, fraud detection and prevention, and robust analytical services. At the core of its strategy is the mountain of data that TransUnion has acquired — along with more than 25 companies — over decades.

Modeling 114

Modeling IT Machine Learning Data Governance 114

AWS Big Data

AUGUST 3, 2023

Today’s modern data lakes span multiple accounts, AWS Regions, and lines of business in organizations. It’s important that their data solution gives them the ability to share and access data securely and safely across Regions. A resource link is a Data Catalog object that is a link to a database or table.

Data Lake 85

Data Lake Metadata Management Data Processing 85

Boris Evelson

JUNE 14, 2023

No matter what technology foundation you’re using – a data lake, a data warehouse, data fabric, data mesh, etc. – BI applications are where business users consume data and turn it into actionable insights and decisions.

Business Intelligence 98

Business Intelligence Data Lake Data Warehouse Data-driven 98

CIO Business Intelligence

DECEMBER 6, 2023

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

Manufacturing 97

Manufacturing Data Lake Digital Transformation Machine Learning 97

TDAN

MARCH 19, 2019

Various databases, plus one or more data warehouses, have been the state-of-the art data management infrastructure in companies for years. The emergence of various new concepts, technologies, and applications such as Hadoop, Tableau, R, Power BI, or Data Lakes indicate that changes are under way.

Management 84

Management Data Lake Data Warehouse Analytics 84

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

CIO Business Intelligence

JULY 26, 2023

As for Keller Williams, Chief Technology and Digital Officer Chris Cox sees the cloud as an engine for innovation. “We Re/Max’s data chief says he approaches data management in several ways, from streaming MLS data through big data technologies stored in Snowflake, to storing data in relational database data stores. “We

Data Lake 98

Data Lake Digital Transformation Machine Learning Data Architecture 98

CIO Business Intelligence

MAY 23, 2022

Global Vice President and CIO Vagesh Dave says IT advancements in the cloud, analytics, and data management have transformed McDermott – and its industry – into an innovation engine. The company’s data lakes in the cloud, which, along with associated tools such as analytics and AI, is what has facilitated McDermott’s IT transformation.

Data Lake 105

Data Lake Data mining IoT Digital Transformation 105

AWS Big Data

AUGUST 16, 2023

Iceberg has become very popular for its support for ACID transactions in data lakes and features like schema and partition evolution, time travel, and rollback. AWS Glue crawlers will extract schema information and update the location of Iceberg metadata and schema updates in the Data Catalog.

Data Lake 78

Data Lake Metadata Snapshot Management 78

Cloudera

SEPTEMBER 15, 2021

And that comes down to being able to act on data at the precise time it requires action. Deploying machine learning (ML) and analytics capabilities at the edge is what makes this possible. . Real-time analytics isn’t always about life-and-death situations, though. Fast-changing Data. Scalability Requirements.

IoT 115

IoT Analytics Internet of Things Data Lake 115

Alation

FEBRUARY 13, 2020

A lot of people in our audience are looking at implementing data lakes or are in the middle of big data lake initiatives. I know in February of 2017 Munich Re launched their own innovative platform as a cornerstone for analytics that involved a big data lake and a data catalog.

Data-driven 52

Data-driven Data Lake Enterprise Analytics 52

AWS Big Data

OCTOBER 20, 2023

Today, we are pleased to announce new AWS Glue connectors for Azure Blob Storage and Azure Data Lake Storage that allow you to move data bi-directionally between Azure Blob Storage, Azure Data Lake Storage, and Amazon Simple Storage Service (Amazon S3). option("header","true").load("wasbs://yourblob@youraccountname.blob.core.windows.net/loadingtest-input/100mb")

Data Lake 83

Data Lake Big Data Consulting Data Warehouse 83

IBM Big Data Hub

APRIL 15, 2024

Facing a constant onslaught of cost pressures, supply chain volatility and disruptive technologies like 3D printing and IoT. Technology and disruption are not new to manufacturers, but the primary problem is that what works well in theory often fails in practice. Or we create a data lake, which quickly degenerates to a data swamp.

Manufacturing 103

Manufacturing Contextual Data Knowledge Discovery Modeling 103

CIO Business Intelligence

MARCH 18, 2024

Data replication and synchronization also plays a role in reducing costs—solutions like Rocket® Data Replicate and Sync allow any changes to data to be fed directly into data lakes and warehouses, streamlining critical processes and enhancing overall analytical capabilities.

Cost-Benefit 98

Cost-Benefit Data Lake Machine Learning Data Integration 98

AWS Big Data

FEBRUARY 7, 2023

In the data analytics space, organizations often deal with many tables in different databases and file formats to hold data for different business functions. Apache Hudi supports ACID transactions and CRUD operations on a data lake. You don’t alter queries separately in the data lake. and save it.

Data Lake 73

Data Lake Testing Big Data Structured Data 73