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 66

Data Lake Cost-Benefit Dashboards Data Warehouse 66

CIO Business Intelligence

APRIL 25, 2024

Currently, a handful of startups offer “reverse” extract, transform, and load (ETL), in which they copy data from a customer’s data warehouse or data platform back into systems of engagement where business users do their work. Sharing Customer 360 insights back without data replication.

Data Integration 119

Data Integration Data Lake Metadata Data Warehouse 119

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. Data warehouse vs. databases.

Data Warehouse 52

Data Warehouse Data Lake OLAP Data-driven 52

Jet Global

JULY 2, 2019

The sheer scale of data being captured by the modern enterprise has necessitated a monumental shift in how that data is stored. From the humble database through to data warehouses , data stores have grown both in scale and complexity to keep pace with the businesses they serve, and the data analysis now required to remain competitive.

Data Lake 73

Data Lake Data Warehouse Big Data Machine Learning 73

DataKitchen

AUGUST 19, 2021

During the launch phase, the focus is on marketing to patients through consumer channels. As generic alternatives become available, the market enters the maturity phase where cost efficiency and margins become most important. There are different teams within the pharmaceutical company that focus on the respective target markets.

Data Warehouse 246

Data Warehouse Data Lake Manufacturing Testing 246

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. The BI market has […]

Business Intelligence 98

Business Intelligence Data Lake Data Warehouse Data-driven 98

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

BizAcuity

JULY 13, 2021

Optimize your Go To Market: The gaming business consists of various applications like the gaming platforms (Casino, Live Dealer, Poker, Sports, Bingo, etc.), account platform, payment, affiliate, loyalty system, bonus and promotion systems, financial application, CRM system, and many others. Data Enrichment/Data Warehouse Layer.

Optimization 52

Optimization Marketing Analytics Data Warehouse 52

CIO Business Intelligence

APRIL 25, 2022

The data lakehouse is a relatively new data architecture concept, first championed by Cloudera, which offers both storage and analytics capabilities as part of the same solution, in contrast to the concepts for data lake and data warehouse which, respectively, store data in native format, and structured data, often in SQL format.

Recreation/Entertainment 119

Recreation/Entertainment Data Lake Data Warehouse Unstructured Data 119

Sisense

JULY 8, 2020

Dealing with Data is your window into the ways Data Teams are tackling the challenges of this new world to help their companies and their customers thrive. In recent years we’ve seen data become vastly more available to businesses. This has allowed companies to become more and more data driven in all areas of their business.

Data Warehouse 90

Data Warehouse Data Lake Data-driven Cost-Benefit 90

Alation

FEBRUARY 20, 2020

When they see a data catalog for the first time, they’re thrilled that a product exists that can govern the west and increase analyst productivity. This week Dresner Advisory Services released their Data Catalog Market Study and BI end users validated the market for data catalogs.

Marketing 52

Marketing Data Lake Dashboards Business Intelligence 52

AWS Big Data

NOVEMBER 16, 2023

Amazon Redshift is a popular cloud data warehouse, offering a fully managed cloud-based service that seamlessly integrates with an organization’s Amazon Simple Storage Service (Amazon S3) data lake, real-time streams, machine learning (ML) workflows, transactional workflows, and much more—all while providing up to 7.9x

Enterprise 80

Enterprise Data Warehouse Snapshot Cost-Benefit 80

Smart Data Collective

OCTOBER 27, 2021

The data is ever-increasing, and getting the deepest analytics about their business activities requires technical tools, analysts, and data scientists to explore and gain insight from large data sets. Interactive analytics applications make it easy to get and build reports from large unstructured data sets fast and at scale.

Interactive 112

Interactive Unstructured Data Analytics Data Warehouse 112

CIO Business Intelligence

FEBRUARY 16, 2023

Selling the value of data transformation Iyengar and his team are 18 months into a three- to five-year journey that started by building out the data layer — corralling data sources such as ERP, CRM, and legacy databases into data warehouses for structured data and data lakes for unstructured data.

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 105

Cloudera

JANUARY 19, 2022

Our position as a Visionary in the Gartner Magic Quadrant for Cloud DBMS market speaks to our product excellence and market-leading-vision of a hybrid, multifunction integrated platform with built-in security and governance. . We were named a Visionary having a strong market understanding and a robust roadmap for the cloud DBMS market.

Reporting 88

Reporting Data Warehouse Data Lake Machine Learning 88

DataKitchen

AUGUST 27, 2021

During the product launch, everyone in the sales and marketing organizations is hyper-focused on business development. Marketing invests heavily in multi-level campaigns, primarily driven by data analytics. The data team must be able to respond rapidly and with a high degree of quality and certainty to user requests.

Analytics 246

Analytics Sales Testing Cost-Benefit 246

CIO Business Intelligence

NOVEMBER 28, 2023

The knock-on impact of this lack of analyst coverage is a paucity of data about monies being spent on data management. In reality MDM ( master data management ) means Major Data Mess at most large firms, the end result of 20-plus years of throwing data into data warehouses and data lakes without a comprehensive data strategy.

Management 131

Management Data Architecture Data Lake Data Strategy 131

Cloudera

JUNE 2, 2022

One of the critical requirements that has materialized is the need for companies to take control of their data flows from origination through all points of consumption both on-premise and in the cloud in a simple, secure, universal, scalable, and cost-effective way. What are the key capabilities that a data distribution service has to have?

Enterprise 99

Enterprise Data Lake Data Collection Data-driven 99

AWS Big Data

JANUARY 24, 2024

AWS-powered data lakes, supported by the unmatched availability of Amazon Simple Storage Service (Amazon S3), can handle the scale, agility, and flexibility required to combine different data and analytics approaches. He is passionate about building products customers love and helping customers extract value from their data.

Snapshot 96

Snapshot Data Lake Metadata Optimization 96

CIO Business Intelligence

MAY 24, 2022

These specific connectivity integrations are meant to allow healthcare providers to have a 360-degree view of all their important data and run analytics on them to take faster decisions and reduce time to market, Informatica said. Cloud Computing, Data Management, Financial Services Industry, Healthcare Industry

Finance 140

Finance Management Metadata Data Quality 140

CIO Business Intelligence

JULY 13, 2022

One of the critical requirements that has materialized is the need for companies to take control of their data flows from origination through all points of consumption both on-premise and in the cloud in a simple, secure, universal, scalable, and cost-effective way. What are the key capabilities that a data distribution service has to have?

Enterprise 88

Enterprise Data Lake Data Collection Data-driven 88

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.

Analytics 92

Analytics IT Data Lake Visualization 92

Timo Elliott

DECEMBER 14, 2022

Most innovation platforms make you rip the data out of your existing applications and move it to some another environment—a data warehouse, or data lake, or data lake house or data cloud—before you can do any innovation. Business Context.

Data Lake 105

Data Lake Recreation/Entertainment Metadata Data Warehouse 105

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 89

Data Lake Data Warehouse Metadata Data Architecture 89

CIO Business Intelligence

APRIL 26, 2022

Backcountry also lacked many core services critical for an online retailer — no CMS, no analytics, no data platform, and no data lake. In recent years, e-commerce platforms have evolved into a combination of cloud, analytics, CX UIs, and data lakes dubbed customer data platforms (CDPs).

Data Lake 98

Data Lake Dashboards Recreation/Entertainment Sales 98

Ontotext

MAY 2, 2024

Storage-centric approach In the storage-centric approach, people try to address data silos by throwing everything in a data lake or a data warehouse. But, although, this helps somewhat in terms of architecture, soon these data lakes become unwieldy.

Metadata 52

Metadata Data Lake Data-driven Enterprise 52

Timo Elliott

JUNE 19, 2023

All of the statistics from IDC and the others show that there’s a massive market for digital services. The next area is data. There’s a huge disruption around data. Increasingly now, we can bring the technology to the data rather than the other way around. The first is the new digital opportunities.

Data Lake 105

Data Lake Digital Transformation Recreation/Entertainment Technology 105

AWS Big Data

AUGUST 31, 2023

It plays a big role within an organization by helping to make the right strategic decision at the right moment which could have a huge impact in a competitive market. This process is always evolving to reflect new business and technical requirements, especially when working in an ambitious market.

Data Warehouse 79

Data Warehouse Data-driven Testing Business Intelligence 79

AWS Big Data

NOVEMBER 9, 2023

The aim was to bolster their analytical capabilities and improve data accessibility while ensuring a quick time to market and high data quality, all with low total cost of ownership (TCO) and no need for additional tools or licenses. AWS Glue – AWS Glue is used to load files into Amazon Redshift through the S3 data lake.

Data Warehouse 100

Data Warehouse Testing Data Quality Reporting 100

Cloudera

OCTOBER 6, 2022

Reduce tech debt: Tech debt is a constant challenge — trying to move faster and deliver enhancements in a constantly evolving market is difficult. For example, we have some customers using their data platform originally established for compliance initiatives to drive new use cases. Let’s look at some examples for savings potential.

Digital Transformation 85

Digital Transformation Cost-Benefit Data Lake Machine Learning 85

AWS Big Data

APRIL 20, 2023

Apache Spark enables you to build applications in a variety of languages, such as Java, Scala, and Python, by accessing the data in your Amazon Redshift data warehouse. Amazon Redshift integration for Apache Spark helps developers seamlessly build and run Apache Spark applications on Amazon Redshift data.

Data Lake 73

Data Lake Data Warehouse Sales Data-driven 73

IBM Big Data Hub

SEPTEMBER 19, 2023

Data scientists will often perform data analysis tasks to understand a dataset or evaluate outcomes. Business users will also perform data analytics within business intelligence (BI) platforms for insight into current market conditions or probable decision-making outcomes.

Data Science 84

Data Science Data Analytics Prescriptive Analytics Analytics 84

CIO Business Intelligence

SEPTEMBER 8, 2022

In Foundry’s 2022 Data & Analytics Study , 88% of IT decision-makers agree that data collection and analysis have the potential to fundamentally change their business models over the next three years. The ability to pivot quickly to address rapidly changing customer or market demands is driving the need for real-time data.

Cost-Benefit 122

Cost-Benefit Internet of Things Data-driven Data Lake 122

Cloudera

SEPTEMBER 15, 2022

Modern data platforms deliver an elastic, flexible, and cost-effective environment for analytic applications by leveraging a hybrid, multi-cloud architecture to support data fabric, data mesh, data lakehouse and, most recently, data observability. What is a data fabric?

Data Lake 79

Data Lake Data Architecture Data-driven Data Warehouse 79

BizAcuity

MAY 16, 2022

Data allowed Guinness to hold their market dominance for long. Now, businesses, regardless of the industry, are leveraging data and Business Intelligence to stay ahead of the competition. We get critical business insights based on how well we leverage our business data. Data mining. That was in the 1900’s.

Business Intelligence 52

Business Intelligence Data mining Visualization Data Lake 52

DataKitchen

JANUARY 3, 2022

Customers and market forces drive deadlines and timeframes for analytics deliverables regardless of the level of effort required. Business analytic teams field an endless stream of questions from marketing and salespeople and they can’t get ahead. IT-created infrastructure such as a data lake/warehouse).

Business Analytics 245

Business Analytics Analytics Testing Dashboards 245

Cloudera

DECEMBER 19, 2018

Natural language analytics and streaming data analytics are emerging technologies that will impact the market. Cloud computing has passed the tipping point, with most organizations comfortable moving critical data and applications to the public cloud. The most common big data use case is data warehouse optimization.

Data Warehouse 52

Data Warehouse Analytics Big Data Data Architecture 52