Smart Data Collective

MAY 31, 2022

Big data technology is having a huge impact on the state of modern business. The technology surrounding big data has evolved significantly in recent years, which means that smart businesses will have to take steps to keep up with it. What is Data Activation? It Started Reverse ETL. ETL is the source of its origin.

Data Warehouse 134

Data Warehouse Big Data Data-driven Technology 134

IBM Big Data Hub

NOVEMBER 6, 2023

By adopting these 4 best practices to invest in the right technology and leverage the most recent advances in generative AI , enterprises can unlock unique services for SMB customers. Watsonx.data allows enterprises to centrally gather, categorize and filter data from multiple sources.

Cost-Benefit 110

Cost-Benefit Enterprise ROI Data Warehouse 110

AWS Big Data

FEBRUARY 1, 2024

This stack creates the following resources and necessary permissions to integrate the services: Data stream – With Amazon Kinesis Data Streams , you can send data from your streaming source to a data stream to ingest the data into a Redshift data warehouse. version cluster. version cluster.

Data Warehouse 122

Data Warehouse Dashboards Risk Management Risk 122

CIO Business Intelligence

NOVEMBER 14, 2022

Decision support systems definition A decision support system (DSS) is an interactive information system that analyzes large volumes of data for informing business decisions. A DSS leverages a combination of raw data, documents, personal knowledge, and/or business models to help users make decisions. Document-driven DSS.

Data mining 130

Data mining Data-driven Statistics OLAP 130

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 83

Enterprise Data Warehouse Snapshot Cost-Benefit 83

Cloudera

JULY 21, 2022

As creators and experts in Apache Druid, Rill understands the data store’s importance as the engine for real-time, highly interactive analytics. Cloudera Data Warehouse and Rill Data—built on Apache Hive and Druid, respectively—can be connected using the Hive-Druid Integration. Cloudera Data Warehouse).

Metrics 83

Metrics Slice and Dice Data Warehouse Dashboards 83

AWS Big Data

MARCH 7, 2023

Data lakes are more focused around storing and maintaining all the data in an organization in one place. And unlike data warehouses, which are primarily analytical stores, a data hub is a combination of all types of repositories—analytical, transactional, operational, reference, and data I/O services, along with governance processes.

Analytics 69

Analytics Data Warehouse Data Lake Metadata 69

datapine

MARCH 31, 2022

For example, if you enjoy computer science, programming, and data but are too extroverted to program all day long, you could work in a more human-oriented area of intelligence for business, perhaps involving more face-to-face interactions than most programmers would encounter on the job. Business Intelligence Job Roles.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

datapine

MAY 9, 2019

Business intelligence concepts refer to the usage of digital computing technologies in the form of data warehouses, analytics and visualization with the aim of identifying and analyzing essential business-based data to generate new, actionable corporate insights. The data warehouse. 1) The raw data.

Business Intelligence 270

Business Intelligence Dashboards Data Warehouse Sales 270

IBM Big Data Hub

NOVEMBER 15, 2023

IBM’s embeddable AI technology, such as IBM watsonx Assistant and watsonx.ai, allows ISVs to quickly and easily build AI into their solutions, which in turn helps them to reduce time to market and reach their customers sooner. Given this trend, companies should be looking for ways to embed generative AI into their customer care portals.

Sales 92

Sales Software Modeling Enterprise 92

IBM Big Data Hub

SEPTEMBER 11, 2023

This partnership gives clients the flexibility to choose the right mix of technologies for their needs, and IBM Consulting can help them scale those solutions enterprise-wide. The result is easier, faster cloud transformation, technology deployment, and more secure operations, which can help drive better business results.

Data-driven 114

Data-driven Insurance Digital Transformation Data Warehouse 114

datapine

SEPTEMBER 27, 2022

6) “SQL: QuickStart Guide – The Simplified Beginner’s Guide To SQL” By Clydebank Technology. The all-encompassing nature of this book makes it a must for a data bookshelf. 18) “The Data Warehouse Toolkit” By Ralph Kimball and Margy Ross. It is a must-read for understanding data warehouse design.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

Smart Data Collective

APRIL 15, 2021

Data warehouses, a database that keeps the information in a processed and defined format, cannot connect directly to information sources, so data integration tools must process the raw data ahead of time to allow it to be usable. This stage is where the data gets turned into usable information for the end-users.

Business Intelligence 97

Business Intelligence Analytics Statistics Data Warehouse 97

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 is a fully managed ETL service that makes it easy to prepare and load data for analysis.

Data Warehouse 104

Data Warehouse Testing Data Quality Reporting 104

CIO Business Intelligence

JUNE 7, 2022

But the success of their AI initiatives depends on more than just data and technology — it’s also about having the right people on board. An effective enterprise AI team is a diverse group that encompasses far more than a handful of data scientists and engineers. AI designer.

Machine Learning 145

Machine Learning Data Science Consulting Metrics 145

AWS Big Data

OCTOBER 19, 2023

Data lakes and data warehouses are two of the most important data storage and management technologies in a modern data architecture. Data lakes store all of an organization’s data, regardless of its format or structure. Delta Lake doesn’t have a specific concept for incremental queries.

Data Lake 111

Data Lake Data Warehouse Visualization Snapshot 111

Smarten

DECEMBER 3, 2023

To succeed with your deployment and user adoption of this solution, your team must organize its requirements and address technology, user and customer concerns. Decide whether it is time to upgrade or change technology or equipment while you are implementing the new solution.

Analytics 40

Analytics Data Warehouse Metrics Interactive 40

AWS Big Data

JUNE 23, 2023

Redshift Serverless is a serverless option of Amazon Redshift that allows you to run and scale analytics without having to provision and manage data warehouse clusters. Redshift Serverless automatically provisions and intelligently scales data warehouse capacity to deliver high performance for all your analytics.

Data Lake 67

Data Lake Cost-Benefit Dashboards Data Warehouse 67

IBM Big Data Hub

OCTOBER 16, 2023

As more businesses use AI systems and the technology continues to mature and change, improper use could expose a company to significant financial, operational, regulatory and reputational risks. They are used in everything from robotics to tools that reason and interact with humans. But how trustworthy is that training data?

Risk 77

Risk Modeling Management Metadata 77

CIO Business Intelligence

SEPTEMBER 8, 2022

Every ten years it seems there is a new technology that is going to change the world, but all too often only leads to disappointment when adopting it becomes too challenging. I always told my team and customers that long-term success with AI solutions is driven by people, not technology. Where are the success stories?

Machine Learning 100

Machine Learning Cost-Benefit Data-driven Digital Transformation 100

CIO Business Intelligence

SEPTEMBER 8, 2022

Gathering and processing data quickly enables organizations to assess options and take action faster, leading to a variety of benefits, said Elitsa Krumova ( @Eli_Krumova ), a digital consultant, thought leader and technology influencer. Nichol ( @PeterBNichol ), Chief Technology Officer at OROCA Innovations.

Cost-Benefit 111

Cost-Benefit Internet of Things Data-driven Data Lake 111

Timo Elliott

OCTOBER 3, 2019

Because new technologies mean that more intuitive interfaces—such as natural-language and voice interaction—are now possible. Karsten Ruf , in turn, took the audience through the detailed SAP roadmap around BW4/HANA V2 and the brand-new SAP Data Warehouse cloud. Business content, not just technology.

Data Warehouse 63

Data Warehouse Digital Transformation Machine Learning Strategy 63

Laminar Security

DECEMBER 13, 2023

In the ever-evolving digital landscape, the importance of data discovery and classification can’t be overstated. As we generate and interact with unprecedented volumes of data, the task of accurately identifying, categorizing, and utilizing this information becomes increasingly difficult.

Data-driven 119

Data-driven Machine Learning Risk Deep Learning 119

Cloudera

JANUARY 26, 2022

Modern, real-time businesses require accelerated cycles of innovation that are expensive and difficult to maintain with legacy data platforms. Cloud technologies and respective service providers have evolved solutions to address these challenges. . The amount of data being collected grew, and the first data warehouses were developed.

Data Processing 83

Data Processing IoT Cost-Benefit Digital Transformation 83

CIO Business Intelligence

MAY 28, 2022

There’s never been more pressure on IT to deliver technology-enabled change to the business. But that’s just one way Das is recommitting his technology organization to become more agile and product-driven. Other key elements for agility include establishing a data warehouse, APIs, proper security, and scalable architecture.

IT 136

IT ROI Cost-Benefit Technology 136

AWS Big Data

AUGUST 7, 2023

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. Tens of thousands of customers use Amazon Redshift to process exabytes of data every day to power their analytics workloads. Data scientists use them to identify forecasting data characteristics. and Karra Taniskidou, E.

Forecasting 81

Forecasting Data Warehouse Machine Learning Modeling 81

datapine

NOVEMBER 19, 2019

Social BI indicates the process of gathering, analyzing, publishing, and sharing data, reports, and information. This is done using interactive Business Intelligence and Analytics dashboards along with intuitive tools to improve data clarity. What is Social Business Intelligence? Summing Up. Author Bio: . Website Link: [link]

Business Intelligence 146

Business Intelligence Knowledge Discovery Dashboards Unstructured Data 146

AWS Big Data

MARCH 10, 2023

They enable transactions on top of data lakes and can simplify data storage, management, ingestion, and processing. These transactional data lakes combine features from both the data lake and the data warehouse. Athena provides a simplified, flexible way to analyze petabytes of data where it lives.

Data Lake 102

Data Lake Sales Data Warehouse Snapshot 102

Ontotext

AUGUST 22, 2023

Beyond that, and without a way to visualize, connect, and utilize the data, it’s still just a bunch of random information. Without metadata management and other data-related operations with semantic technologies, organizations often struggle to connect data sets and achieve a unified view of their enterprise data.

Metadata 52

Metadata Knowledge Discovery Big Data Enterprise 52

CIO Business Intelligence

DECEMBER 1, 2022

Now halfway into its five-year digital transformation, PepsiCo has checked off many important boxes — including employee buy-in, Kanioura says, “because one way or another every associate in every plant, data center, data warehouse, and store are using a derivative of this transformation.”

Digital Transformation 127

Digital Transformation IoT Data-driven KPI 127

Alation

FEBRUARY 7, 2023

At the time, I was at a technology conference. It wouldn’t be until 2013 that the topic of data lineage would surface again – this time while working on a data warehouse project. Data warehouses obfuscate data’s origin In 2013, I was a Business Intelligence Engineer at a financial services company.

Metadata 52

Metadata Data Warehouse Visualization Data Quality 52

IBM Big Data Hub

JULY 5, 2022

In today’s world of complex data architectures and emerging technologies, databases can sometimes be undervalued and unrecognized. IBM has been the pioneer in paving the way for data management technologies and advancements for decades, from the first commercial database to quantum computing systems.

Data Lake 96

Data Lake Data Warehouse Publishing Structured Data 96

Data Virtualization

MARCH 23, 2023

Reading Time: 3 minutes The financial services sector is accelerating its adoption of digital technology. Innovative new technologies are redefining the sector, shaping the services that financial organizations offer, the ways in which they interact with consumers, and the ways in which they apply.

Interactive 52

Interactive Data Integration Technology Management 52

Data Virtualization

MARCH 23, 2023

Reading Time: 3 minutes The financial services sector is accelerating its adoption of digital technology. Innovative new technologies are redefining the sector, shaping the services that financial organizations offer, the ways in which they interact with consumers, and the ways in which they apply.

Interactive 52

Interactive Data Integration Technology Management 52

erwin

FEBRUARY 28, 2024

One of the key ingredients to ensure data is really embedded in an organization, and one of the key enablers to increase the strategic impact of data, is the setup of a successful data governance program. Technology is an enabler, and for data governance this is essentially having an excellent metadata management tool.

Metadata 52

Metadata Data Governance Data Quality Technology 52

CIO Business Intelligence

MAY 25, 2022

There’s never been more pressure on IT to deliver technology-enabled change to the business. But that’s just one way Das is recommitting his technology organization to become more agile and product-driven. Other key elements for agility include establishing a data warehouse, APIs, proper security, and scalable architecture.

IT 115

IT ROI Cost-Benefit Technology 115

CIO Business Intelligence

JUNE 14, 2023

Data and big data analytics are the lifeblood of any successful business. Getting the technology right can be challenging but building the right team with the right skills to undertake data initiatives can be even harder — a challenge reflected in the rising demand for big data and analytics skills and certifications.

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126