AWS Big Data

JUNE 28, 2023

There are two broad approaches to analyzing operational data for these use cases: Analyze the data in-place in the operational database (e.g. ETL pipelines can be expensive to build and complex to manage. in regions us-east-1 , us-east-2 , us-west-2 , ap-northeast-1 and eu-west-1.

Data Warehouse 81

Data Warehouse Analytics Metrics Dashboards 81

datapine

MAY 31, 2022

Table of Contents. It provides better data storage, data security, flexibility, improved organizational visibility, smoother processes, extra data intelligence, increased collaboration between employees, and changes the workflow of small businesses and large enterprises to help them make better decisions while decreasing costs.

Risk 237

Risk Cost-Benefit Business Intelligence Data-driven 237

Cloudera

NOVEMBER 30, 2022

What is Cloudera Operational Database (COD). Cloudera Operational Database enables developers to quickly build future-proof applications that are architected to handle data evolution. For more information and to get started with COD, refer to our article Getting Started with Cloudera Data Platform Operational Database (COD).

Management 72

Management IT 72

Cloudera

JULY 13, 2022

In this article we discuss the various methods to replicate HBase data and explore why Replication Manager is the best choice for the job with the help of a use case. Cloudera Replication Manager is a key Cloudera Data Platform (CDP) service, designed to copy and migrate data between environments and infrastructures across hybrid clouds.

Snapshot 87

Snapshot Management Cost-Benefit Metadata 87

AWS Big Data

FEBRUARY 14, 2023

Organizations have chosen to build data lakes on top of Amazon Simple Storage Service (Amazon S3) for many years. A data lake is the most popular choice for organizations to store all their organizational data generated by different teams, across business domains, from all different formats, and even over history.

Data Lake 78

Data Lake Statistics Data Architecture Finance 78

AWS Big Data

NOVEMBER 1, 2023

Amazon Redshift is a fully managed, petabyte scale cloud data warehouse that enables you to analyze large datasets using standard SQL. Data warehouse workloads are increasingly being used with mission-critical analytics applications that require the highest levels of resilience and availability.

Data Warehouse 91

Data Warehouse Snapshot Testing Management 91

AWS Big Data

MARCH 3, 2023

Building data lakes from continuously changing transactional data of databases and keeping data lakes up to date is a complex task and can be an operational challenge. You can then apply transformations and store data in Delta format for managing inserts, updates, and deletes.

Data Lake 79

Data Lake Dashboards Metrics Metadata 79

AWS Big Data

JUNE 9, 2023

A modern data architecture enables companies to ingest virtually any type of data through automated pipelines into a data lake, which provides highly durable and cost-effective object storage at petabyte or exabyte scale. Apache Iceberg 1.2.0, and Delta Lake 2.3.0.

Data Lake 109

Data Lake Metadata Optimization Statistics 109

AWS Big Data

OCTOBER 25, 2023

Unstructured data is information that doesn’t conform to a predefined schema or isn’t organized according to a preset data model. Text, images, audio, and videos are common examples of unstructured data. After decades of digitizing everything in your enterprise, you may have an enormous amount of data, but with dormant value.

Unstructured Data 115

Unstructured Data Metadata Management Analytics 115

AWS Big Data

JULY 25, 2023

Today, in order to accelerate and scale data analytics, companies are looking for an approach to minimize infrastructure management and predict computing needs for different types of workloads, including spikes and ad hoc analytics. Prerequisites To complete the integration, you need a Redshift Serverless data warehouse.

Data Analytics 52

Data Analytics Data Warehouse Analytics Data Processing 52

Cloudera

JANUARY 21, 2022

The architecture reflects the four pillars of security engineering best practice, Perimeter, Data, Access and Visibility. Updated Ranger Key Management service. Before diving into the technologies it is worth becoming familiar with the key security principle of a layered approach that facilitates defense in depth.

Data Processing 107

Data Processing Management Cost-Benefit Finance 107

AWS Big Data

FEBRUARY 21, 2023

Data warehouses play a vital role in healthcare decision-making and serve as a repository of historical data. A healthcare data warehouse can be a single source of truth for clinical quality control systems. This is one of the biggest hurdles with the data vault approach. What is a dimensional data model?

Data Warehouse 63

Data Warehouse Data Lake Cost-Benefit Modeling 63

Cloudera

JANUARY 15, 2021

In database systems one of the most effective ways to improve performance is to avoid doing unnecessary work, such as network transfers and reading data from disk. A Bloom filter is a space-efficient probabilistic data structure used to test set membership with a possibility of false-positive matches. Introduction. Before 7.1.5,

Optimization 67

Optimization Broadcasting Testing Metadata 67

AWS Big Data

JUNE 21, 2023

Among them are the use of embedding models, a type of model that can encode a large body of data into an n-dimensional space where each entity is encoded into a vector, a data point in that space, and organized such that similar entities are closer together. You go to Amazon.com, and you type “a cozy place to sit by the fire.”

Metrics 75

Metrics Measurement Modeling Dashboards 75

datapine

JULY 1, 2020

“The goal is to turn data into information, and information into insight.” – Carly Fiorina, former executive, president, HP. Digital data is all around us. quintillion bytes of data every single day, with 90% of the world’s digital insights generated in the last two years alone, according to Forbes.

Reporting 260

Reporting Cost-Benefit Dashboards Visualization 260

Alation

APRIL 14, 2022

Moving data to the cloud can bring immense operational benefits. However, the sheer volume and complexity of today’s enterprise data can cause downstream headaches for data users. Semantics, context, and how data is tracked and used mean even more as you stretch to reach post-migration goals.

Metadata 59

Metadata Data Governance Modeling Data-driven 59

FineReport

JANUARY 5, 2022

With the help of powerful data-driven insights, companies can adapt their strategies. Analytical information’s importance has created a fluctuation of data that companies can’t simply collect into a single spreadsheet. Still, it is also widely used to analyze current data in various industries.

Reporting 52

Reporting Analytics Visualization Dashboards 52

Sisense

FEBRUARY 16, 2021

Every aspect of analytics is powered by a data model. A data model presents a “single source of truth” that all analytics queries are based on, from internal reports and insights embedded into applications to the data underlying AI algorithms and much more. Designers, engineers, and analysts see data in different ways.

Modeling 52

Modeling OLAP Data Warehouse Cost-Benefit 52

Grooper

AUGUST 19, 2019

Read on to learn how data literacy, information as a second language, and insight-driven analytics take digital strategy to a new level. C-level executives and professionals alike must learn to speak a new language - data. C-level executives and professionals alike must learn to speak a new language - data. Well, almost.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

datapine

SEPTEMBER 4, 2023

Table of Contents 1) The Benefits Of Data Visualization 2) Our Top 27 Best Data Visualizations 3) Interactive Data Visualization: What’s In It For Me? 4) Static vs. Animated Data Visualization Data is the new oil? No, data is the new soil.” This very notion is the core of visualization.

Interactive 264

Interactive Visualization Cost-Benefit Dashboards 264

Domino Data Lab

AUGUST 22, 2019

Data scientists and researchers require an extensive array of techniques, packages, and tools to accelerate core work flow tasks including prepping, processing, and analyzing data. Utilizing NLP helps researchers and data scientists complete core tasks faster. Preprocessing Natural Language Data. Introduction.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

Domino Data Lab

AUGUST 20, 2019

Many thanks to AWP Pearson for the permission to excerpt “Manual Feature Engineering: Manipulating Data for Fun and Profit” from the book, Machine Learning with Python for Everyone by Mark E. Feature engineering is useful for data scientists when assessing tradeoff decisions regarding the impact of their ML models.

Testing 68

Testing Modeling Interactive Measurement 68

Occam's Razor

JULY 1, 2008

Framing the online to offline "data" problem: Why is quantifying offline impact such a problem? Two words: Primary Key. In English: We simply don't have a way of joining the online data to offline data. This post bravely attempts to: 1 ] Highlight the importance of holistic multichannel analytics.

Analytics 116

Analytics Measurement Marketing Sales 116

Occam's Razor

FEBRUARY 7, 2011

Hence every once in a while I flip the tables and ask you for challenges you are facing. But since the questions alone made up more than 1,000 words, I am going to try and keep the answers as pithy as I can while trying to give you an answer to chew on. ", the strategic "How can we?", But there is no alternative.

Analytics 94

Analytics Measurement Metrics Predictive Analytics 94

AWS Big Data

JUNE 21, 2023

Amazon DynamoDB is a fully managed NoSQL service that delivers single-digit millisecond performance at any scale. In traditional databases, we would model such applications using a normalized data model (entity-relation diagram). This is the concept of single-table design.

Data Warehouse 76

Data Warehouse Data Lake OLAP Cost-Benefit 76

AWS Big Data

JANUARY 27, 2023

To build a data-driven business, it is important to democratize enterprise data assets in a data catalog. With a unified data catalog, you can quickly search datasets and figure out data schema, data format, and location. You can refer to Table & SQL Connectors for more information.

Data Lake 60

Data Lake Metadata Business Analysis Data-driven 60

datapine

MAY 17, 2021

Table of Contents. 1) What Is Data Discovery? 2) Why is Data Discovery So Popular? 3) Data Discovery Tools Attributes. 5) How To Perform Smart Data Discovery. 6) Data Discovery For The Modern Age. We live in a time where data is all around us. So, what is data discovery? What Is Data Discovery?

Visualization 161

Visualization Data-driven Business Intelligence Metrics 161

Jet Global

MAY 1, 2023

It will show you what embedded analytics are and how they can help your company. By leveraging data analysis to solve high-value business problems, they will become more efficient. This is in contrast to traditional BI, which extracts insight from data outside of the app. that gathers data from many sources.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Jet Global

FEBRUARY 23, 2024

The quick and dirty definition of data mapping is the process of connecting different types of data from various data sources. Data mapping is a crucial step in data modeling and can help organizations achieve their business goals by enabling data integration, migration, transformation, and quality.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52

Jet Global

DECEMBER 7, 2022

Keith Payne, VP Sales at insightsoftware, explores how organizations can prepare for market turbulence in 2023 by boosting their agile practices and considering the strength of existing tools. Finance must embed data processes that can help navigate the business through uncertain times. Well, yes and no.

Finance 52

Finance Reporting Sales Software 52

Jet Global

JANUARY 5, 2023

Whether from your Oracle ERP Cloud or EBS (on-premises or cloud), you must have the ability to efficiently transform that data into a format that works for your BI tools — for true, enterprise-wide reporting. Reporting Challenges Using Multiple Versions of Your Data. This is an issue you can resolve with Global Views.

Operational Reporting 52

Operational Reporting Reporting Enterprise Software 52

Jet Global

MAY 2, 2022

In today’s highly competitive hiring market, aggressive growth companies are doing everything they can to attract and retain top talent. Equity management can get complex quickly, especially as a company scales up. Even for a startup with just a handful of employees, it can be risky to manage all of that information manually.

Management 52

Management Reporting Finance Risk 52

Jet Global

OCTOBER 4, 2022

Tax reporting and forecasting can be a confusing process, to even the most seasoned tax professionals. It’s time consuming, tedious, and can become even more convoluted as organizations add jurisdictions. The good news is, there is a way to optimize your tax reporting and forecasting process.

Visualization 52

Visualization Reporting Forecasting Dashboards 52

Jet Global

OCTOBER 1, 2021

It’s an all-too-familiar scenario: You’re deep into the month-end closing process , and a recent change in the enterprise resource planning (ERP) system necessitates the modification of some of the key reports you rely on every month. You resolve to assemble the information manually by copying and pasting information into a spreadsheet.

Reporting 52

Reporting IT Recreation/Entertainment Finance 52

Jet Global

AUGUST 25, 2022

From storing HR records to billing account information to product inventory and pricing data, it’s incredibly convenient to have all your business data housed in one place, rather than spread across multiple systems that may or may not be compatible with one another. With manual planning processes, collaboration can be tricky.

Forecasting 52

Forecasting Finance Reporting Testing 52

Jet Global

JUNE 22, 2021

Managing equity compensation plans, including employee stock purchase plans (ESPPs), can be a complicated process, even for companies that have been issuing equity compensation for some time. ESPP tracking and reporting, in particular, is especially challenging, and the cost of getting it wrong can be significant.

Software 52

Software Reporting Management Recreation/Entertainment 52

Jet Global

MARCH 4, 2024

While there is talk of the first filing being delayed until 2026, this still only leaves limited time to build robust systems and processes for gathering, verifying, and reporting comprehensive ESG data. Manual processes and juggling multiple tools won’t cut it under the ever-changing CSRD regulations.

Reporting 52

Reporting Data-driven Software Risk 52