AWS Big Data

DECEMBER 13, 2023

A CDC-based approach captures the data changes and makes them available in data warehouses for further analytics in real-time. usually a data warehouse) needs to reflect those changes in near real-time. This post showcases how to use streaming ingestion to bring data to Amazon Redshift.

Data Warehouse 96

Data Warehouse Snapshot Data Processing Management 96

Cloudera

DECEMBER 21, 2023

The SQL AI Assistant recognizes data-centric elements as well; where possible it will recognize things like comparing to the value 1.2 The explanation can be inserted into the SQL editor as a comment so we can keep, and modify, this explanation together with the query wherever we’re saving and documenting it.

Optimization 66

Optimization Sales Data Warehouse Measurement 66

Smart Data Collective

APRIL 29, 2020

The extraction of raw data, transforming to a suitable format for business needs, and loading into a data warehouse. Data transformation. This process helps to transform raw data into clean data that can be analysed and aggregated. Data analytics and visualisation. Reference data management.

Management 85

Management Data Warehouse Digital Transformation Dashboards 85

Cloudera

JANUARY 19, 2024

Please refer to the product documentation for more information about specific releases. Log in to the Cloudera Data Warehouse service as DWAdmin. Go to the virtual warehouse tab, locate the Virtual Warehouse on which you want to enable this feature, and click “edit.” Log in to the data warehouse service as DWAdmin.

Data Warehouse 71

Data Warehouse Data Processing Optimization Modeling 71

datapine

NOVEMBER 19, 2019

Interesting Read: THE DIFFERENT STAGES IN DATA ANALYTICS, AND WHERE DO YOU FIT IT IN AI AND ML ACTIVITIES? Discovery and documentation serve as key features in collaborative BI. Knowledge Retention : The intellectual property of organizations all around the world and the items under them are not documented on a daily basis.

Business Intelligence 146

Business Intelligence Knowledge Discovery Dashboards Unstructured Data 146

Sisense

APRIL 26, 2020

Read on to explore more about structured vs unstructured data, why the difference between structured and unstructured data matters, and how cloud data warehouses deal with them both. Structured vs unstructured data. However, both types of data play an important role in data analysis.

Unstructured Data 52

Unstructured Data Data Warehouse Structured Data Data mining 52

AWS Big Data

JANUARY 24, 2024

These formats enable ACID (atomicity, consistency, isolation, durability) transactions, upserts, and deletes, and advanced features such as time travel and snapshots that were previously only available in data warehouses. resource('s3') bucket = s3.Bucket(' Bucket(' ') bucket.objects.filter(Prefix=" /noaadelta/").delete()

Snapshot 98

Snapshot Data Lake Metadata Optimization 98

CDW Research Hub

OCTOBER 25, 2019

As we review data transformation and modernization strategies with our clients, we find many are investigating Snowflake as a data warehouse solution due to its ease of use, speed, and increased flexibility over a traditional data warehouse offering. Analytics and intelligence for business users and user adoption.

Data Warehouse 40

Data Warehouse Testing Strategy Data-driven 40

datapine

JANUARY 24, 2021

Additionally, you want to clarify these questions regarding data analysis now or as soon as possible – which will make your future business intelligence much clearer. This genie (who we’ll call Data Dan) embodies the idea of a perfect data analytics platform through his magic powers. ETL data warehouse*.

IT 317

IT Statistics KPI Data-driven 317

FineReport

NOVEMBER 17, 2021

Also, with already organized Help Documents and user-friendly, good ecosphere, FineReport provides resources to solve problems. As an open-source alternative to Tableau, Domo improves internal data utilization through enhancing your existing data warehouse. Meanwhile, Domo grows external data value.

KPI 52

KPI Dashboards Metadata Data Warehouse 52

AWS Big Data

NOVEMBER 29, 2023

As part of the Talent Intelligence Platform Eightfold also exposes a data hub where each customer can access their Amazon Redshift-based data warehouse and perform ad hoc queries as well as schedule queries for reporting and data export. Many customers have implemented Amazon Redshift to support multi-tenant applications.

Metadata 102

Metadata Data Warehouse Analytics Data Analytics 102

Cloudera

FEBRUARY 16, 2021

You can use COD with: Cloudera DataFlow to ingest and aggregate data from various sources. Cloudera Data Engineering to ingest bulk data and data from mainframes. Cloudera Data Warehouse to perform ETL operations. The following image shows you how COD integrates within your enterprise data lifecycle. .

Machine Learning 81

Machine Learning Data Lake Enterprise Data Warehouse 81

AWS Big Data

JULY 31, 2023

This solution decouples the ETL and analytics workloads from our transactional data source Amazon Aurora, and uses Amazon Redshift as the data warehouse solution to build a data mart. We use Amazon Redshift as the data warehouse to implement the data mart solution. Choose Run to run the job.

Sales 52

Sales Data Warehouse Visualization Testing 52

Smart Data Collective

JUNE 7, 2019

Volume – Companies gather data from different sources such as business transactions, social media, and other relevant data. Variety – It means all data can be presented in a variety of formats – from structured numeric data to the unstructured ones, which include text documents, audio, video, and email.

Big Data 81

Big Data Marketing Cost-Benefit Unstructured Data 81

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

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. With Aurora zero-ETL integration with Amazon Redshift, the integration replicates data from the source database into the target data warehouse.

Data Warehouse 83

Data Warehouse Analytics Metrics Dashboards 83

datapine

AUGUST 29, 2022

The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. The rate at which data is generated has increased exponentially in recent years. Essential Big Data And Data Analytics Insights. million searches per day and 1.2

Big Data 263

Big Data Data Analytics Analytics Data mining 263

AWS Big Data

APRIL 30, 2024

It can generate data integration jobs for extracts and loads to S3 data lakes including file formats like CSV, JSON, and Parquet, and ingestion into open table formats like Apache Hudi, Delta, and Apache Iceberg. These capabilities simplify and accelerate data processing and integration on AWS.

Data Integration 101

Data Integration Data Lake Data Warehouse Software 101

datapine

NOVEMBER 19, 2019

Interesting Read: THE DIFFERENT STAGES IN DATA ANALYTICS, AND WHERE DO YOU FIT IT IN AI AND ML ACTIVITIES? Discovery and documentation serve as key features in collaborative BI. Knowledge Retention : The intellectual property of organizations all around the world and the items under them are not documented on a daily basis.

Business Intelligence 20

Business Intelligence Knowledge Discovery Unstructured Data Software 20

Cloudera

DECEMBER 12, 2018

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. I spent eight years in the real-world performance group where I specialized in high visibility and high impact data warehousing competes and benchmarks.

Data Warehouse 41

Data Warehouse Marketing Big Data Data Lake 41

Smart Data Collective

SEPTEMBER 26, 2021

There’s not much value in holding on to raw data without putting it to good use, yet as the cost of storage continues to decrease, organizations find it useful to collect raw data for additional processing. The raw data can be fed into a database or data warehouse. The central concept is the idea of a document.

Metadata 100

Metadata Visualization Unstructured Data Data mining 100

IBM Big Data Hub

MAY 9, 2023

is not just for data scientists and developers — business users can also access it via an easy-to-use interface that responds to natural language prompts for different tasks. With watsonx.data , businesses can quickly connect to data, get trusted insights and reduce data warehouse costs. Watsonx.ai

Data Warehouse 109

Data Warehouse Cost-Benefit Machine Learning Modeling 109

Alation

OCTOBER 27, 2022

Few actors in the modern data stack have inspired the enthusiasm and fervent support as dbt. This data transformation tool enables data analysts and engineers to transform, test and document data in the cloud data warehouse. Bindu Chandramohan, Lead, Data Analytics, Alation : Thanks, Jason!

Metrics 52

Metrics Dashboards Sales Reporting 52

Alation

JULY 19, 2022

As they attempt to put machine learning models into production, data science teams encounter many of the same hurdles that plagued data analytics teams in years past: Finding trusted, valuable data is time-consuming. Obstacles, such as user roles, permissions, and approval request prevent speedy data access.

Metadata 59

Metadata Data Quality Statistics Data Science 59

Corinium

APRIL 25, 2019

Ahead of the Chief Data Analytics Officers & Influencers, Insurance event we caught up with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity to discuss how the industry is evolving. It definitely depends on the type of data, no one method is always better than the other.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

Jet Global

OCTOBER 22, 2020

Most organizations are looking for sophisticated reporting and analytics, but they have little appetite for managing the highly complicated infrastructure that goes with it. Let’s begin with an overview of how data analytics works for most business applications. This leads to the second option, which is a data warehouse.

Modeling 52

Modeling OLAP Reporting Sales 52

AWS Big Data

OCTOBER 27, 2023

Data integration is the foundation of robust data analytics. It encompasses the discovery, preparation, and composition of data from diverse sources. In the modern data landscape, accessing, integrating, and transforming data from diverse sources is a vital process for data-driven decision-making.

Analytics 94

Analytics Visualization Data Integration Cost-Benefit 94

IBM Big Data Hub

SEPTEMBER 26, 2023

States’ existing investments in modernizing and enhancing ancillary supportive technologies (such as document management, web portals, mobile applications, data warehouses and location services) could negate the need for certain system requirements as part of the child support system modernization initiative.

Consulting 99

Consulting Cost-Benefit Technology Strategy 99

IBM Big Data Hub

OCTOBER 12, 2023

Stored data is predicted to see a 250% growth by 2025, 1 the results of which are likely to include a greater number of disconnected silos and higher associated costs. To optimize data analytics and AI workloads, organizations need a data store built on an open data lakehouse architecture.

Cost-Benefit 83

Cost-Benefit Metadata Data Governance Modeling 83

Alation

APRIL 14, 2022

Data discovery is also critical for data governance , which, when ineffective, can actually hinder organizational growth. And, as organizations progress and grow, “data drift” starts to impact data usage, models, and your business. Edge computing can be decentralized from on-premises, cellular, data centers, or the cloud.

Metadata 59

Metadata Data Governance Modeling Data-driven 59

Ontotext

FEBRUARY 26, 2024

Firstly, on the data maturity spectrum, the vast majority of organizations I’ve spoken with are stuck in the information stage. They have massive amounts of data they’re collecting and storing in their relational databases, document stores, data lakes, and data warehouses.

Technology 52

Technology Cost-Benefit Data-driven Metadata 52

Cloudera

FEBRUARY 11, 2019

The former sees growing investment in data analytics to become data-driven (45% of organizations expect to increase their spending in this area) while the latter is fueled by disruptive technology and the adoption of AI (41% of organizations name it as their game changer). Governing digital transformation.

Digital Transformation 56

Digital Transformation Data Governance Data Warehouse Data-driven 56

O'Reilly on Data

SEPTEMBER 11, 2019

But we wanted to see what an analysis of the event’s proposal data itself might reveal about the state of the field at this point in time. So, we used a form of the Term Frequency-Inverse Document Frequency (TF/IDF) technique to identify and rank the top terms in this year’s Strata NY proposal topics—as well as those for 2018, 2017, and 2016.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

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.

Data Lake 111

Data Lake Metadata Optimization Statistics 111

Smart Data Collective

JUNE 6, 2021

While you may think that you understand the desires of your customers and the growth rate of your company, data-driven decision making is considered a more effective way to reach your goals. The use of big data analytics is, therefore, worth considering—as well as the services that have come from this concept, such as Google BigQuery.

Big Data 134

Big Data Data Analytics Analytics Cost-Benefit 134

AWS Big Data

MARCH 3, 2023

The weeks that followed the lab included go-to-market activities with specific customers, documentation, hardening, security reviews, performance testing, data integrity testing, and automation activities. Guru Havanur serves as a Principal, Big Data Engineering and Analytics team in Tricentis.

Software 52

Software Data Lake Testing Cost-Benefit 52

datapine

FEBRUARY 22, 2022

Without real-time insight into their data, businesses remain reactive, miss strategic growth opportunities, lose their competitive edge, fail to take advantage of cost savings options, don’t ensure customer satisfaction… the list goes on. On the flip side, document everything that isn’t working. Develop a “Data Dictionary”.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218