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 120

Data Warehouse Dashboards Risk Management Risk 120

Sisense

JULY 7, 2020

In-Warehouse Data Prep provides builders with the advanced functionality they need to rapidly transform and optimize raw data creating materialized views on cloud data warehouses. In-Warehouse Data Prep supports both AWS Redshift and Snowflake data warehouses.

Slice and Dice 92

Slice and Dice Data Warehouse Analytics Dashboards 92

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

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

Juice Analytics

NOVEMBER 11, 2021

The symptoms we see are varied: lack of management support, lack of end-user adoption; poorly defined requirements; data warehouse projects that never seem to finish. And for each of these problems, the data industry has crafted different “solutions” or technologies to try to address them. We wrote a book about it.

Dashboards 137

Dashboards Data Warehouse Reporting Technology 137

CIO Business Intelligence

NOVEMBER 14, 2022

A DSS leverages a combination of raw data, documents, personal knowledge, and/or business models to help users make decisions. The data sources used by a DSS could include relational data sources, cubes, data warehouses, electronic health records (EHRs), revenue projections, sales projections, and more.

Data mining 144

Data mining Data-driven Statistics OLAP 144

CIO Business Intelligence

FEBRUARY 24, 2023

Getting there has been easier said than done for Lufthansa, which was among the first airlines to build a data warehouse for its customer data, but much of that technology is now decades old. “We In the back end, we’ve made a lot of changes to enable better customer data connection with travel ID,” he says.

IT 144

IT Digital Transformation Data Warehouse Consulting 144

CIO Business Intelligence

JANUARY 16, 2023

Aside from the core cloud services, Choice also uses Amazon RedShift as a front end to its cloud data warehouse, Amazon SageMaker to build machine leaning models, and Amazon Kinesis to collect, process, and analyze real-time data. All the logic is still in Java hosted on Amazon’s infrastructure.”

Cost-Benefit 144

Cost-Benefit Digital Transformation Data Warehouse Data-driven 144

DataKitchen

OCTOBER 5, 2021

Data operations (or data production) is a series of pipeline procedures that take raw data, progress through a series of processing and transformation steps, and output finished products in the form of dashboards, predictions, data warehouses or whatever the business requires. The post What is a DataOps Engineer?

Testing 157

Testing Dashboards Measurement Experimentation 157

IBM Big Data Hub

DECEMBER 16, 2022

You have a specific book in mind, but you have no idea where to find it. You enter the title of the book into the computer and the library’s digital inventory system tells you the exact section and aisle where the book is located. It uses metadata and data management tools to organize all data assets within your organization.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

Alation

JULY 30, 2021

A part of that journey often involves moving fragmented on-premises data to a cloud data warehouse. You clearly shouldn’t move everything from your on-premises data warehouses. Otherwise, you can end up with a data swamp. But how do you do so effectively and efficiently? until 1 and 2 are addressed).

Data Warehouse 52

Data Warehouse Data Governance Machine Learning Data-driven 52

Cloudera

MARCH 2, 2022

Now that more and more data warehousing is done in the cloud, much of that in the Cloudera Data Warehouse data service, performance improvement directly equates to cost savings. A recent benchmark by a third party shows how Cloudera has the best price-performance on the cloud data warehouse market.

Data Warehouse 87

Data Warehouse Optimization Analytics Sales 87

datapine

AUGUST 29, 2022

With that in mind, we have prepared a list of the top 19 definitive data analytics and big data books, along with magazines and authentic readers’ reviews upvoted by the Goodreads community. Essential Big Data And Data Analytics Insights. Discover The Best Data Analytics And Big Data Books Of All Time.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Smart Data Collective

NOVEMBER 18, 2020

Data Mining is an important research process. It includes the analysis of hidden data models according to various translation options into useful information that is collected and generated in data warehouses to facilitate business decisions designed to reduce costs and increase income. Practical experience.

Data mining 142

Data mining Data Science Informatics Statistics 142

AWS Big Data

MARCH 25, 2024

This dynamic integration of streaming data enables generative AI applications to respond promptly to changing conditions, improving their adaptability and overall performance in various tasks. To better understand this, imagine a chatbot that helps travelers book their travel. versions).

Data Lake 87

Data Lake Unstructured Data Management Modeling 87

Jet Global

MAY 6, 2020

Compliance requires re-evaluating every old and new contract to determine if the revenue needs to be booked differently. It’s faster to implement that way, and by circumventing data warehouses, it retrieves data with near real-time speeds. . ASC 606 should clear up confusion among investors and financial observers.

Forecasting 59

Forecasting Data Warehouse Software Reporting 59

IBM Big Data Hub

AUGUST 28, 2023

If you’re a reader, chances are good you’ve read a book from Macmillan. This data is leveraged by departments throughout the organization and is essential to their business operations. As business processes grew more complex, the data transparency and visibility suffered.

Publishing 53

Publishing Analytics Business Intelligence Operational Reporting 53

Cloudera

FEBRUARY 16, 2021

Cloudera Operational Database enables developers to quickly build future-proof applications that are architected to handle data evolution. Many business applications such as flight booking and mobile banking rely on a database that can scale and serve data at low latency. Cloudera Data Warehouse to perform ETL operations.

Machine Learning 83

Machine Learning Data Lake Enterprise Data Warehouse 83

datapine

MARCH 31, 2022

To help you with your studies, you can start here with a list of the best SQL books that will help you take your skills to the next level. Data Analysis : Most BI skills and intelligence analyst-related skills are about using data to make better decisions. Business Intelligence Job Roles.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

IBM Big Data Hub

NOVEMBER 8, 2023

We are expanding IBM Db2 Warehouse on Power with a new Base Rack Express at a 30% lower entry list price, adding to today’s S, M and L configurations, while still providing the same total-solution experience, including Db2 Data Warehouse’s connectivity with watsonx.data to unlock the potential of data for analytics and AI.

Strategy 98

Strategy Cost-Benefit Digital Transformation Data-driven 98

erwin

JUNE 26, 2020

Given the value this sort of data-driven insight can provide, the reason organizations need a data catalog should become clearer. It’s no surprise that most organizations’ data is often fragmented and siloed across numerous sources (e.g., Each card or listing contains information about a book or publication (e.g.,

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

CIO Business Intelligence

JUNE 7, 2023

In a nutshell, data scientists and developers have been trying to build the most powerful, sophisticated applications for the next generation of business on complex infrastructure built for the demands of yesterday. Many traditional AI/ML systems, and the outcomes they produce, rely on data warehouses and batch processing.

Machine Learning 52

Machine Learning Modeling Data Warehouse Statistics 52

Sisense

MARCH 6, 2019

This is why I liked that James Richardson, Sr Director Analyst at Gartner, chose to share a slide with the titles of the three books written by one of my favorite authors – Yuval Noah Harari. This is why leadership is important for BI professionals. Without it, they cannot drive change.

Data Analytics 75

Data Analytics Analytics Experimentation Data-driven 75

CIO Business Intelligence

NOVEMBER 23, 2022

Data warehouse. Data modeling. Origins of enterprise architecture EA began in the 1960s, born from “various architectural manuscripts on Business Systems Planning (BSP) by Professor Dewey Walker,” according to the Enterprise Architecture Book of Knowledge (EABOK). Artificial intelligence (AI). Microsoft Azure.

Enterprise 128

Enterprise Cost-Benefit Digital Transformation Strategy 128

Andrew White

DECEMBER 4, 2019

I argued that one vendors’ book on data quality was really about data governance; I argued that another vendors’ marketing message was totally upside down; and I argued that some approaches to achieving single source of truth were different from traditional approaches.

Digital Transformation 64

Digital Transformation Data Integration Data Quality Data Warehouse 64

InsightOut

AUGUST 6, 2021

Thus data visualization is about much more than representing data visually to achieve efficiency in communication - it is a way to tap into the core psychology of how humans perceive and learn from their ecosystems. Idea Illustration: Some visualizations help represent abstract ideas and categorize them.

Visualization 52

Visualization Software Testing Data Warehouse 52

AWS Big Data

JANUARY 8, 2024

The destination can be an event-driven application for real-time dashboards, automatic decisions based on processed streaming data, real-time altering, and more. In his spare time, Raghavarao enjoys spending time with his family, reading books, and watching movies.

Analytics 109

Analytics IoT Data-driven Snapshot 109

DataKitchen

DECEMBER 7, 2021

Back by popular demand, we’ve updated our data nerd Gift Giving Guide to cap off 2021. We’ve kept some classics and added some new titles that are sure to put a smile on your data nerd’s face. Here are eight highly recommendable books to help you find that special gift. ?? ?? ???. How did we get here?

Data-driven 246

Data-driven Data Governance Big Data Data Science 246

Jet Global

DECEMBER 8, 2020

For more information about the risks of Power BI, download our FREE e-book, 5 Unknown Facts about Power BI That Create Project Risk. Power BI Without the Risk. insightsoftware offers reporting and analysis tools that provide self-service, user-friendly capabilities, with integration to Power BI and Excel.

Finance 52

Finance Risk Reporting Software 52

Alation

JUNE 14, 2023

It’s also the mechanism that brings data consumers and data producers closer together. Our legacy architecture, like that at most organizations, is a massive on-prem enterprise data warehouse,” Lavorini says. “As As we modernize our core banking platforms, the data goes with that modernization journey.”

Data-driven 52

Data-driven Finance Uncertainty Digital Transformation 52

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. This results in less joins between the metric data in fact tables, and the dimensions. So let’s dive in! OLTP vs OLAP.

Data Warehouse 78

Data Warehouse OLAP Statistics Cost-Benefit 78

Cloudera

DECEMBER 12, 2018

I was a student system administrator for the campus computing group and at that time they were migrating the campus phone book to a new tool, new to me, known as Oracle. After having rebuilt their data warehouse, I decided to take a little bit more of a pointed role, and I joined Oracle as a database performance engineer.

Data Warehouse 42

Data Warehouse Marketing Big Data Data Lake 42

IBM Big Data Hub

APRIL 8, 2024

Answer: To share feedback on the product and learn more about new features or technical updates planned for Amazon RDS for Db2, connect with your IBM or AWS representative to  book a meeting with IBM Db2 experts.  Can Amazon RDS for Db2 be used for running data warehousing workloads?

Snapshot 75

Snapshot Data Warehouse Data Processing Management 75

O'Reilly on Data

OCTOBER 19, 2021

Adapted from the book Effective Data Science Infrastructure. Data is at the core of any ML project, so data infrastructure is a foundational concern. ML use cases rarely dictate the master data management solution, so the ML stack needs to integrate with existing data warehouses.

IT 346

IT Testing Experimentation Software 346

CIO Business Intelligence

OCTOBER 18, 2022

One pulse sends 150 bytes of data. So, each band can send out 500KB to 750KB of data. To handle the huge volume of data thus generated, the company is in the process of deploying a data lake, data warehouse, and real-time analytical tools in a hybrid model.

Data Lake 98

Data Lake Cost-Benefit Digital Transformation Data Warehouse 98

Jet Global

MAY 27, 2022

How Synapse works with Data Lakes and Warehouses. Synapse services, data lakes, and data warehouses are often discussed together. Here’s how they correlate: Data lake: An information repository that can be stored in a variety of different ways, typically in a raw format like SQL. Book A Demo.

Data Lake 52

Data Lake IT Recreation/Entertainment Data Warehouse 52

CIO Business Intelligence

DECEMBER 22, 2022

“For example, this style makes it more feasible for data scientists to have the support of software engineering to provide what is needed when models are handed over to operations during deployment,” Ted Dunning and Ellen Friedman write in their book, Machine Learning Logistics.

Analytics 130

Analytics Machine Learning Software Data Quality 130