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 91

Data Lake Data Warehouse Data-driven B2B 91

AWS Big Data

MARCH 13, 2024

Data analytics – Business analysts gather operational insights from multiple data sources, including the location data collected from the vehicles. This method uses GZIP compression to optimize storage consumption and query performance. You can test this solution yourself using the AWS Samples GitHub repository.

Analytics 97

Analytics IoT Metadata Internet of Things 97

DataKitchen

APRIL 26, 2021

In early April 2021, DataKItchen sat down with Jonathan Hodges, VP Data Management & Analytics, at Workiva ; Chuck Smith, VP of R&D Data Strategy at GlaxoSmithKline (GSK) ; and Chris Bergh, CEO and Head Chef at DataKitchen, to find out about their enterprise DataOps transformation journey, including key successes and lessons learned.

Measurement 246

Measurement Metrics Data-driven Testing 246

AWS Big Data

APRIL 12, 2023

Amazon EMR on EKS provides a deployment option for Amazon EMR that allows organizations to run open-source big data frameworks on Amazon Elastic Kubernetes Service (Amazon EKS). This performance-optimized runtime offered by Amazon EMR makes your Spark jobs run fast and cost-effectively. test: EMR release – EMR 6.10.0

Testing 77

Testing Big Data Metadata Optimization 77

Sisense

FEBRUARY 26, 2020

Learn about the changes they’re making to not just remain competitive, but win in the future to stand the test of time. We all know that data is becoming more and more essential for businesses, as the volume of data keeps growing. Embrace embedded analytics, make better data-driven decisions.

Digital Transformation 90

Digital Transformation Analytics Cost-Benefit Data-driven 90

AWS Big Data

NOVEMBER 29, 2023

dbt is an open source, SQL-first templating engine that allows you to write repeatable and extensible data transforms in Python and SQL. dbt is predominantly used by data warehouses (such as Amazon Redshift ) customers who are looking to keep their data transform logic separate from storage and engine.

Data Lake 105

Data Lake Management Metrics Data Warehouse 105

Jet Global

MAY 1, 2023

Introduction Why should I read the definitive guide to embedded analytics? But many companies fail to achieve this goal because they struggle to provide the reporting and analytics users have come to expect. The Definitive Guide to Embedded Analytics is designed to answer any and all questions you have about the topic.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

CIO Business Intelligence

OCTOBER 11, 2022

More quickly moving from ideas to insights has aided new drug development and the clinical trials used for testing new products. AstraZeneca’s ability to quickly spin up new analytics capabilities using AI Bench was put to the ultimate test in early 2020 as the global pandemic took hold. .

Machine Learning 144

Machine Learning Data-driven Testing Data Science 144

Jet Global

FEBRUARY 23, 2024

This field guide to data mapping will explore how data mapping connects volumes of data for enhanced decision-making. Why Data Mapping is Important Data mapping is a critical element of any data management initiative, such as data integration, data migration, data transformation, data warehousing, or automation.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52

AWS Big Data

MAY 25, 2023

Data transformation plays a pivotal role in providing the necessary data insights for businesses in any organization, small and large. To gain these insights, customers often perform ETL (extract, transform, and load) jobs from their source systems and output an enriched dataset.

Reporting 72

Reporting Metrics Optimization Data Lake 72

AWS Big Data

FEBRUARY 26, 2024

When you start the process of designing your data model for Amazon Keyspaces, it’s essential to possess a comprehensive understanding of your access patterns, similar to the approach used in other NoSQL databases. Amazon OpenSearch Service is a powerful and fully managed search and analytics service. Choose the Test tab.

Dashboards 64

Dashboards Testing Metrics Optimization 64

Cloudera

JULY 21, 2022

As creators and experts in Apache Druid, Rill understands the data store’s importance as the engine for real-time, highly interactive analytics. Rill solves this with pipeline services and Rill Developer, a free SQL-based data modeler. Cloudera Data Warehouse). Large-scale high throughput analytics. Apache Hive.

Metrics 85

Metrics Slice and Dice Data Warehouse Dashboards 85

datapine

SEPTEMBER 29, 2022

6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data. 10) Data Quality Solutions: Key Attributes. When teamed together with online BI tools , these rules can be key in predicting trends and reporting analytics.

Data Quality 241

Data Quality Metrics Data-driven Management 241

FineReport

MARCH 31, 2024

Through meticulous testing and research, we’ve curated a list of the ten best BI tools, ensuring accessibility and efficacy for businesses of all sizes. In essence, the core capabilities of the best BI tools revolve around four essential functions: data integration, data transformation, data visualization, and reporting.

Dashboards 52

Dashboards Visualization Data mining Data-driven 52

AWS Big Data

NOVEMBER 16, 2023

Building a starter version of anything can often be straightforward, but building something with enterprise-grade scale, security, resiliency, and performance typically requires knowledge of and adherence to battle-tested best practices, and using the right tools and features in the right scenario. Data Vault 2.0

Enterprise 87

Enterprise Data Warehouse Data Lake Optimization 87

Cloudera

MARCH 14, 2023

Key requirements for building data pipelines Every data pipeline starts with a business requirement. For example, a developer may be asked to tap into the data of a newly acquired application, parsing and transforming it before delivering it to the business’s favorite analytical system where it can be joined with existing data sets.

Testing 83

Testing Publishing Metadata Interactive 83

AWS Big Data

FEBRUARY 6, 2023

Additionally, a TCO calculator generates the TCO estimation of an optimized EMR cluster for facilitating the migration. For optimizing EMR cluster cost effectiveness, the following table provides general guidelines of choosing the proper type of EMR cluster and Amazon Elastic Compute Cloud (Amazon EC2) family.

Dashboards 78

Dashboards Optimization Data Lake Cost-Benefit 78

Cloudera

OCTOBER 13, 2020

Data Warehouse – in addition to a number of performance optimizations, DW has added a number of new features for better scalability, monitoring and reliability to enable self-service access with security and performance . Enrich – Data Engineering (Apache Spark and Apache Hive). New Services.

Data Warehouse 94

Data Warehouse Machine Learning Visualization Data Lake 94

Occam's Razor

OCTOBER 19, 2010

What is the first thing you want when you think about web analytics? recommending tools for the complete web analytics 2.0 Disclosure:] I am the co-Founder of Market Motive Inc and the Analytics Evangelist for Google. Web Analytics 2.0. This blog post is about web analytics 2.0. Of course tools. Don't be.

Analytics 135

Analytics Testing Measurement Optimization 135

AWS Big Data

APRIL 27, 2023

Apache Iceberg is an open table format for data lakes that manages large collections of files as tables. It supports modern analytical data lake operations such as create table as select (CTAS), upsert and merge, and time travel queries. The following diagram illustrates the solution architecture.

Data Lake 76

Data Lake Snapshot Optimization Data Transformation 76

IBM Big Data Hub

JULY 17, 2023

.” Sean Im, CEO, Samsung SDS America “In the field of generative AI and foundation models, watsonx is a platform that will enable us to meet our customers’ requirements in terms of optimization and security, while allowing them to benefit from the dynamism and innovations of the open-source community.”

Machine Learning 63

Machine Learning Data Warehouse Modeling Cost-Benefit 63

AWS Big Data

MARCH 3, 2023

Tricentis is the global leader in continuous testing for DevOps, cloud, and enterprise applications. Speed changes everything, and continuous testing across the entire CI/CD lifecycle is the key. Tricentis instills that confidence by providing software tools that enable Agile Continuous Testing (ACT) at scale.

Software 52

Software Data Lake Testing Cost-Benefit 52

Cloudera

DECEMBER 21, 2021

Since the release of Cloudera Data Engineering (CDE) more than a year ago , our number one goal was operationalizing Spark pipelines at scale with first class tooling designed to streamline automation and observability. This enabled new use-cases with customers that were using a mix of Spark and Hive to perform data transformations. .

Snapshot 117

Snapshot Data-driven Optimization Management 117

CIO Business Intelligence

JANUARY 9, 2023

Customers are increasingly demanding access to real-time data, and freight transportation provider Estes Express Lines is among the rising tide of enterprises overhauling their data operations to deliver it. At one point, I had 15 people on my data team and seven of them were engaged only in data analysis.”

Data Strategy 109

Data Strategy Strategy Data Governance Marketing 109

Cloudera

OCTOBER 11, 2021

Modak’s Nabu is a born in the cloud, cloud-neutral integrated data engineering platform designed to accelerate the journey of enterprises to the cloud. Modak empowers organizations to maximize their ROI from existing analytics infrastructure through interoperability. Modak Nabu TM and CDE’s Spark-on-Kubernetes.

Data Lake 92

Data Lake Cost-Benefit Data-driven Dashboards 92

AWS Big Data

FEBRUARY 21, 2023

We use Apache Spark as our main data processing engine and have over 1,000 Spark applications running over massive amounts of data every day. These Spark applications implement our business logic ranging from data transformation, machine learning (ML) model inference, to operational tasks. Their costs were climbing.

Cost-Benefit 55

Cost-Benefit Informatics Optimization Management 55

AWS Big Data

OCTOBER 31, 2023

Customers rely on data from different sources such as mobile applications, clickstream events from websites, historical data, and more to deduce meaningful patterns to optimize their products, services, and processes. The data used for transformation and analysis is based on the publicly available New York Citi Bike dataset.

Data Processing 92

Data Processing Management Publishing Testing 92

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. Select the connection again and on the Actions menu, choose Test connection. Testing the connection can take approximately 1 minute.

Sales 52

Sales Data Warehouse Visualization Testing 52

AWS Big Data

APRIL 5, 2023

The company decided to use AWS to unify its business intelligence (BI) and reporting strategy for both internal organization-wide use cases and in-product embedded analytics targeted at its customers. The platform also provides analytics and insights to support successful information sharing and fuel continuous improvement.

Dashboards 52

Dashboards Reporting Cost-Benefit Visualization 52

IBM Big Data Hub

JANUARY 18, 2023

A read-optimized platform that can integrate data from multiple applications emerged. In another decade, the internet and mobile started the generate data of unforeseen volume, variety and velocity. This adds an additional ETL step, making the data even more stale. Data lakehouse was created to solve these problems.

Data Lake 52

Data Lake Data Warehouse Data-driven Metadata 52

Cloudera

OCTOBER 14, 2020

Apache Spark unifies batch processing, real-time processing, stream analytics, machine learning, and interactive query in one-platform. YuniKorn is designed for Big Data app workloads, and it natively supports to run Spark/Flink/Tensorflow, etc efficiently in K8s. The Test and Development queue have fixed resource limits.

Machine Learning 116

Machine Learning Management Big Data Optimization 116

Smarten

JANUARY 4, 2018

Extract, Transform and Load (ETL) refers to a process of connecting to data sources, integrating data from various data sources, improving data quality, aggregating it and then storing it in staging data source or data marts or data warehouses for consumption of various business applications including BI, Analytics and Reporting.

Data Warehouse 40

Data Warehouse OLAP Data Governance Optimization 40

DataRobot Blog

MARCH 10, 2022

The first step in building a model that can predict machine failure and even recommend the next best course of action is to aggregate, clean, and prepare data to train against. This task may require complex joins, aggregations, filtering, window functions, and many other data transformations against extremely large-scale data sets.

Manufacturing 52

Manufacturing IoT Machine Learning Forecasting 52

Alation

OCTOBER 28, 2021

Data & analytics represents a major opportunity to tackle these challenges. Indeed, many healthcare organizations today are embracing digital transformation and using data to enhance operations. Uncover intelligence from data. Protect data at the source. What is Data Governance in Healthcare?

Data Governance 52

Data Governance Measurement Metrics Modeling 52