AWS Big Data

NOVEMBER 15, 2023

Connect with experts, meet with book authors on data warehousing and analytics (at the Meet the Authors event on November 29 and 30, 3:00 PM – 4:00 PM), win prizes, and learn all about the latest innovations from our AWS Analytics services.

Data Lake 65

Data Lake Data Warehouse B2B Deep Learning 65

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.

Data Lake 52

Data Lake IT Recreation/Entertainment Data Warehouse 52

Jet Global

NOVEMBER 21, 2023

To have any hope of generating value from growing data sets, enterprise organizations must turn to the latest technology. You’ve heard of data warehouses, and probable data lakes, but now, the data lakehouse is emerging as the new corporate buzzword. To address this, the data lakehouse was born.

Data Lake 52

Data Lake Data Warehouse Reporting Enterprise 52

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

AWS Big Data

MAY 28, 2024

The details of each step are as follows: Populate the Amazon Redshift Serverless data warehouse with company stock information stored in Amazon Simple Storage Service (Amazon S3). Redshift Serverless is a fully functional data warehouse holding data tables maintained in real time.

Unstructured Data 88

Unstructured Data Structured Data Data Warehouse Testing 88

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 109

Management Data Architecture Data Lake Data Strategy 109

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.

Data Lake 92

Data Lake Unstructured Data Management Modeling 92

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 97

Data Lake Cost-Benefit Digital Transformation Data Warehouse 97

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 342

IT Testing Experimentation Software 342

IBM Big Data Hub

AUGUST 1, 2023

models are trained on IBM’s curated, enterprise-focused data lake. Fortunately, data stores serve as secure data repositories and enable foundation models to scale in both terms of their size and their training data. Foundation models focused on enterprise value IBM’s watsonx.ai All watsonx.ai

Modeling 56

Modeling Cost-Benefit Data Lake Machine Learning 56

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

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

Jet Global

FEBRUARY 23, 2024

This includes cleaning, aggregating, enriching, and restructuring data to fit the desired format. Load : Once data transformation is complete, the transformed data is loaded into the target system, such as a data warehouse, database, or another application.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52

Jet Global

SEPTEMBER 19, 2023

Data Access What insights can we derive from our cloud ERP? What are the best practices for analyzing cloud ERP data? Data Management How do we create a data warehouse or data lake in the cloud using our cloud ERP? How do I access the legacy data from my previous ERP?

Cost-Benefit 52

Cost-Benefit Data Warehouse Reporting Enterprise 52

AWS Big Data

JULY 13, 2023

Generating business outcomes In 4 days, the Altron SI team left the Immersion Day workshop with the following: A data pipeline ingesting data from 21 sources (SQL tables and files) and combining them into three mastered and harmonized views that are cataloged for Altron’s B2B accounts.

Optimization 92

Optimization B2B Data Quality Sales 92

IBM Big Data Hub

JULY 27, 2023

Powering a knowledge management system with a data lakehouse Organizations need a data lakehouse to target data challenges that come with deploying an AI-powered knowledge management system. It provides the combination of data lake flexibility and data warehouse performance to help to scale AI.

Management 55

Management Enterprise Modeling Data Quality 55

Sisense

JUNE 30, 2020

The data drawn from power visualizations comes from a variety of sources: Structured data , in the form of relational databases such as Excel, or unstructured data, deriving from text, video, audio, photos, the internet and smart devices. Her debut novel, The Book of Jeremiah , was published in 2019.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

AWS Big Data

JANUARY 8, 2024

In his spare time, Raghavarao enjoys spending time with his family, reading books, and watching movies. Hang Zuo is a Senior Product Manager on the Amazon Kinesis Data Streams team at Amazon Web Services.

Analytics 115

Analytics IoT Data-driven Snapshot 115

Jet Global

SEPTEMBER 30, 2022

What are the best practices for analyzing cloud ERP data? Data Management. How do we create a data warehouse or data lake in the cloud using our cloud ERP? How do I access the legacy data from my previous ERP? How can we rapidly build BI reports on cloud ERP data without any help from IT?

Reporting 52

Reporting Data Warehouse Operational Reporting Enterprise 52

Jet Global

JUNE 13, 2022

When migrating to the cloud, there are a variety of different approaches you can take to maintain your data strategy. Those options include: Data lake or Azure Data Lake Services (ADLS) is Microsoft’s new data solution, which provides unstructured date analytics through AI. Different Approaches to Migration.

Reporting 52

Reporting Data Lake Sales Operational Reporting 52

Jet Global

APRIL 26, 2022

For companies that operate multiple corporate entities, the most common approach is to create distinct companies within D365 F&SCM, each with its own set of books. Jet Reports now offers high performance connectivity with options to connect to Synapse/Azure Data Lakes, BYOD, SQL or your Cubes and Tabular models.

Reporting 52

Reporting Finance Cost-Benefit Forecasting 52

Peter James Thomas

APRIL 3, 2020

In fact is is the crucial final link between an organisation’s data and the people who need to use it. In many ways how people experience data capabilities will be determined by this final link. When the sadly common refrain of “we built state-of-the-art data capabilities, why is noone using them?

Dashboards 61

Dashboards Reporting Sales Data Lake 61

Alation

FEBRUARY 13, 2020

In his book titled “The Fourth Industrial Revolution,” Klaus Schwab describes the age as, “characterized by a much more ubiquitous and mobile internet, by smaller and more powerful sensors that have become cheaper, and by artificial intelligence and machine learning.”

Machine Learning 52

Machine Learning Data-driven Big Data Technology 52