Data Virtualization

JANUARY 21, 2025

However, companies are still struggling to manage data effectively, to implement GenAI applications that deliver proven business value. The post OReilly Releases First Chapters of a New Book about Logical Data Management appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Management 52

Management Data Integration Technology Data Warehouse 52

AWS Big Data

DECEMBER 21, 2023

To speed up the self-service analytics and foster innovation based on data, a solution was needed to provide ways to allow any team to create data products on their own in a decentralized manner. To create and manage the data products, smava uses Amazon Redshift , a cloud data warehouse.

Data Lake 115

Data Lake Data Warehouse Data-driven B2B 115

AWS Big Data

NOVEMBER 13, 2023

For those in the data world, this post provides a curated guide for all analytics sessions that you can use to quickly schedule and build your itinerary. Book your spot early for the sessions you do not want to miss. 11:30 AM – 12:30 PM (PDT) Ceasars Forum ANT318 | Accelerate innovation with end-to-end serverless data architecture.

Analytics 119

Analytics Data Lake Data Warehouse Data-driven 119

erwin

JUNE 7, 2022

Designing databases for data warehouses or data marts is intrinsically much different than designing for traditional OLTP systems. Accordingly, data modelers must embrace some new tricks when designing data warehouses and data marts. Figure 1: Pricing for a 4 TB data warehouse in AWS.

Data Warehouse 52

Data Warehouse Modeling Sales Data Lake 52

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

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 122

Data Lake Unstructured Data Management Snapshot 122

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 72

Data Lake Data Warehouse B2B Deep Learning 72

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 119

Unstructured Data Data Warehouse Structured Data Testing 119

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-driven 42

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 Data Warehouse Cost-Benefit Digital Transformation 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.

Data Lake 52

Data Lake IT Recreation/Entertainment Data Warehouse 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

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

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 98

Optimization B2B Data Quality Sales 98

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 134

Analytics IoT Data-driven Snapshot 134

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 55

Modeling Cost-Benefit Machine Learning Data Lake 55

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

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 54

Management Enterprise Modeling Data Quality 54

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

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

Jet Global

MAY 9, 2024

The key components of a data pipeline are typically: Data Sources : The origin of the data, such as a relational database , data warehouse, data lake , file, API, or other data store. This can include tasks such as data ingestion, cleansing, filtering, aggregation, or standardization.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Jet Global

JANUARY 30, 2025

Its distributed architecture empowers organizations to query massive datasets across databases, data lakes, and cloud platforms with speed and reliability. Optimizing connections to your data sources is equally important, as it directly impacts the speed and efficiency of data access.

Data Lake 64

Data Lake Data-driven Optimization Enterprise 64

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

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 Visualization 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

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

OCTOBER 1, 2024

Trino allows users to run ad hoc queries across massive datasets, making real-time decision-making a reality without needing extensive data transformations. This is particularly valuable for teams that require instant answers from their data. Data Lake Analytics: Trino doesn’t just stop at databases.

Dashboards 52

Dashboards Data Lake Reporting Cost-Benefit 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

AWS Big Data

APRIL 28, 2025

Use existing AWS Glue tables This section has following prerequisites: A data lake administrator user by following Create a data lake administrator. For detailed instruction see Revoking permission using the Lake Formation console. Noritaka Sekiyama is a Principal Big Data Architect on the AWS Glue team.

Metadata 62

Metadata Data Lake Big Data Publishing 62

AWS Big Data

OCTOBER 30, 2024

This is the final part of a three-part series where we show how to build a data lake on AWS using a modern data architecture. This post shows how to process data with Amazon Redshift Spectrum and create the gold (consumption) layer. The following diagram illustrates the different layers of the data lake.

Data Lake 97

Data Lake Machine Learning Data Architecture Data-driven 97

Jet Global

MARCH 27, 2025

data lakes & warehouses like Cloudera, Google Big Query, etc., Scalability: Your source systems, data volumes, and calculation complexities change as your business evolves. This includes databases like Microsoft SQL server, IBM DB2, etc., ERP & accounting systems like Microsoft Dynamics 365, SAGE, Quickbooks, etc.,

Finance 52

Finance Reporting Cost-Benefit Forecasting 52