AWS Big Data

NOVEMBER 29, 2023

Modernizing analytics for scale, performance, and reliability “Our migration from legacy on-premises platform to Amazon Redshift allows us to ingest data 88% faster, query data 3x faster, and load daily data to the cloud 6x faster.

Data Warehouse 103

Data Warehouse Data Lake Analytics Machine Learning 103

AWS Big Data

NOVEMBER 8, 2023

The 3-node RA3 16XL provisioned cluster that had previously been hosting their warehouse was taking around 12 hours to ingest this data to Amazon Redshift , and Gilead was looking to optimize the data ingestion process in a more dynamic manner. Loading data is a key process for any analytical system, including Amazon Redshift.

Data Lake 78

Data Lake Data Warehouse Cost-Benefit Optimization 78

AWS Big Data

JULY 13, 2023

To verify the data quality of the sources through statistically-relevant metrics, AWS Glue Data Quality runs data quality tasks on relevant AWS Glue tables. Foundations for a data lake with data governance controls and data quality checks.

Optimization 92

Optimization B2B Data Quality Sales 92

CIO Business Intelligence

OCTOBER 13, 2023

Data architect Armando Vázquez identifies eight common types of data architects: Enterprise data architect: These data architects oversee an organization’s overall data architecture, defining data architecture strategy and designing and implementing architectures. Are data architects in demand?

Data Architecture 122

Data Architecture Data Warehouse Statistics Visualization 122

Smart Data Collective

AUGUST 5, 2021

In this blog, we will cover an overview of Delta Lakes , its advantages, and how the above challenges can be overcome by moving to Delta Lake and migrating to Spark 3.0 What is Delta Lake? Advantages of using Delta Lakes. Below we discuss a few major advantages: Delta Lake Transaction Log. from Spark 2.4. .

Data Processing 143

Data Processing Metadata Broadcasting Statistics 143

IBM Big Data Hub

SEPTEMBER 25, 2023

With a few taps on a mobile device, riders request a ride; then, Uber’s algorithms work to match them with the nearest available driver and calculate the optimal price. Uber’s prowess as a transportation, logistics and analytics company hinges on their ability to leverage data effectively. But the simplicity ends there.

OLAP 88

OLAP Data Lake Data-driven Snapshot 88

CIO Business Intelligence

MAY 12, 2022

The tools include sophisticated pipelines for gathering data from across the enterprise, add layers of statistical analysis and machine learning to make projections about the future, and distill these insights into useful summaries so that business users can act on them. On premises or in SAP cloud. Per user, per month. Free tier.

Predictive Analytics 137

Predictive Analytics Analytics Statistics Machine Learning 137

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

FineReport

MARCH 24, 2024

Data analysts leverage four key types of analytics in their work: Prescriptive analytics: Advising on optimal actions in specific scenarios. Data analysts contribute value to organizations by uncovering trends, patterns, and insights through data gathering, cleaning, and statistical analysis.

Statistics 52

Statistics Data mining Visualization Reporting 52

CIO Business Intelligence

JUNE 9, 2022

In these instances, data feeds come largely from various advertising channels, and the reports they generate are designed to help marketers spend wisely. All this data arrives by the terabyte, and a data management platform can help marketers make sense of it all. SAS Data Management. Of course, marketing also works.

Management 137

Management Advertising Data Lake Sales 137

CIO Business Intelligence

SEPTEMBER 22, 2023

What are the benefits of data management platforms? Modern, data-driven marketing teams must navigate a web of connected data sources and formats. All this data arrives by the terabyte, and a data management platform can help marketers make sense of it all. Of course, marketing also works.

Management 97

Management Advertising Data Lake Sales 97

AWS Big Data

JUNE 6, 2023

We are excited to announce the General Availability of AWS Glue Data Quality. Our journey started by working backward from our customers who create, manage, and operate data lakes and data warehouses for analytics and machine learning. It takes days for data engineers to identify and implement data quality rules.

Data Quality 96

Data Quality Statistics Data Lake Visualization 96

AWS Big Data

NOVEMBER 20, 2023

Use case A typical workload for AWS Glue for Apache Spark jobs is to load data from a relational database to a data lake with SQL-based transformations. On the Graphed metrics tab, configure your preferred statistic, period, and so on. When the example job ran, the workerUtilization metrics showed the following trend.

Metrics 97

Metrics Data Lake Cost-Benefit Dashboards 97

IBM Big Data Hub

APRIL 9, 2024

This allows the Masters to scale analytics and AI wherever their data resides, through open formats and integration with existing databases and tools. “Hole distances and pin positions vary from round to round and year to year; these factors are important as we stage the data.”

Management 80

Management IT Machine Learning Metrics 80

CIO Business Intelligence

APRIL 4, 2023

Businesses that lead in fully deploying AI will be able to optimize customer experiences and efficiencies that help maximize customer retention and customer acquisition and gain a distinct advantage over the competition. Constructing the right data architecture cannot be bypassed. MB every second. Want to learn more?

Data Architecture 52

Data Architecture Data Lake Data Warehouse Cost-Benefit 52

CIO Business Intelligence

JULY 26, 2023

But Cox and Djuric do know that 82% of Keller Williams’ agent have been active on the homegrown CRM application in the past 90 days and can deduce the high value of their data from that statistic alone. The first platform is Command, a core agent-facing CRM that supports Keller Williams’ agents and real estate teams.

Data Lake 90

Data Lake Digital Transformation Machine Learning Data Architecture 90

DataKitchen

NOVEMBER 18, 2022

With this information in a shared context, your analyst working on a data lake will know if the 15 datasets she is viewing are accurate, the most recent, or of the same date range. And she’ll know when newer data will arrive. Storing data about your journeys allows you to analyze, learn, and predict.

Testing 130

Testing Statistics Measurement Metrics 130

AWS Big Data

JULY 3, 2023

Backtesting is a process used in quantitative finance to evaluate trading strategies using historical data. This helps traders determine the potential profitability of a strategy and identify any risks associated with it, enabling them to optimize it for better performance.

Snapshot 86

Snapshot Data Lake Testing Strategy 86

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

FEBRUARY 8, 2024

Queries containing joins, filters, projections, group-by, or aggregations without group-by can be transparently rewritten by the Hive optimizer to use one or more eligible materialized views. We ran the ANALYZE command to gather both table and column statistics on all the base tables. Each query had between one to three variants.

Snapshot 90

Snapshot Metadata Cost-Benefit Data Warehouse 90

AWS Big Data

FEBRUARY 6, 2023

When migrating Hadoop workloads to Amazon EMR , it’s often difficult to identify the optimal cluster configuration without analyzing existing workloads by hand. It enables compute such as EMR instances and storage such as Amazon Simple Storage Service (Amazon S3) data lakes to scale. For more information, see the GitHub repo.

Cost-Benefit 52

Cost-Benefit Data Lake Dashboards Big Data 52

CIO Business Intelligence

MARCH 10, 2023

Unilever is also applying analytics and AI to logistics, including tracking inventory and optimizing routes. The local team can be activated very quickly, ingest the data very quickly, and then create a statistical model and analytics model together with the business, sitting next to each other.

Forecasting 104

Forecasting Machine Learning Data Lake Digital Transformation 104

Sisense

OCTOBER 6, 2020

And, as industrial, business, domestic, and personal Internet of Things devices become increasingly intelligent, they communicate with each other and share data to help calibrate performance and maximize efficiency. The result, as Sisense CEO Amir Orad wrote , is that every company is now a data company. Digging into quantitative data.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

Sisense

DECEMBER 11, 2019

We hosted over 150 people from more than 100 companies, who gathered to learn why data can supercharge their companies and how harnessing the huge power of data can take business from startup to unicorn. The company has integrated data analysis throughout its organization to power decision making. A true unicorn.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

BizAcuity

MAY 16, 2022

He went on to be the head brewer of Guinness and we thank him for not just great hand-crafted beers but subsequent research breakthroughs in statistical research as well. Data allowed Guinness to hold their market dominance for long. We get critical business insights based on how well we leverage our business data. Data mining.

Business Intelligence 52

Business Intelligence Data mining Visualization Data Lake 52

CIO Business Intelligence

JUNE 28, 2023

“We transferred our lab data—including safety, sensory efficacy, toxicology tests, product formulas, ingredients composition, and skin, scalp, and body diagnosis and treatment images—to our AWS data lake,” Gopalan says. This allowed us to derive insights more easily.”

Digital Transformation 79

Digital Transformation Cost-Benefit Informatics Data mining 79

AWS Big Data

MAY 23, 2024

Solution overview Let’s consider an example data quality pipeline where a data engineer ingests data from a raw zone and loads it into a curated zone in a data lake. By catching errors upfront, organizations can ingest cleaner data and take advantage of advanced data quality capabilities.

Data Quality 88

Data Quality Metrics Data Lake Sales 88

AWS Big Data

MARCH 12, 2024

In recent years, data lakes have become a mainstream architecture, and data quality validation is a critical factor to improve the reusability and consistency of the data. He enjoys working on analytics and AI/ML challenges, with a passion for automation and optimization.

Data Quality 92

Data Quality Measurement Testing Visualization 92

AWS Big Data

MARCH 27, 2024

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. It also helps you securely access your data in operational databases, data lakes, or third-party datasets with minimal movement or copying of data.

Testing 101

Testing Data Warehouse Metrics Cost-Benefit 101

Sisense

JUNE 30, 2020

Data is usually visualized in a pictorial or graphical form such as charts, graphs, lists, maps, and comprehensive dashboards that combine these multiple formats. Data visualization is used to make the consuming, interpreting, and understanding data as simple as possible, and to make it easier to derive insights from data.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

Cloudera

JULY 26, 2021

Among the plethora of industry-specific and technology themes contributing towards that growth agenda, there are some common business and technology forces influencing data product development: An increasing focus on data collaboration partnerships between enterprises to enable data sharing and value exchange across an industry value chain.

Strategy 117

Strategy Data Science Marketing Unstructured Data 117

FineReport

APRIL 11, 2023

Designed dashboards typically have the following components: Data Source Connections : BI dashboards can be connected to data warehouses, data marts, data lakes, operational systems, industrial equipment, and external data feeds to provide up-to-date and relevant information.

Dashboards 40

Dashboards Business Intelligence Cost-Benefit Metrics 40

CIO Business Intelligence

MAY 26, 2022

Companies don’t need to move all the data to a single platform, but there does need to be a way to bring in data from disparate data sources, she says, and this can vary based on application. Data lakes work well for companies doing a lot of analytics at high frequencies who are looking for low-cost storage, for example.

Machine Learning 137

Machine Learning Modeling Data-driven Dashboards 137

CIO Business Intelligence

MAY 28, 2022

Companies don’t need to move all the data to a single platform, but there does need to be a way to bring in data from disparate data sources, she says, and this can vary based on application. Data lakes work well for companies doing a lot of analytics at high frequencies who are looking for low-cost storage, for example.

Machine Learning 123

Machine Learning Modeling Data-driven Dashboards 123

Alation

JANUARY 27, 2022

How do businesses transform raw data into competitive insights? Data analytics. Analytics can help a business improve customer relationships, optimize advertising campaigns, develop new products, and much more. As an organization embraces digital transformation , more data is available to inform decisions. Boost Revenue.

Data Governance 52

Data Governance Analytics Cost-Benefit Data-driven 52

Corinium

APRIL 25, 2019

And it’s become a hyper-competitive business, so enhancing customer service through data is critical for maintaining customer loyalty. For example auto insurance companies offering to capture real-time driving statistics from policy-holders’ cars to encourage and reward safe driving. In data-driven organizations, data is flowing.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

Andrew White

JANUARY 11, 2021

Does Data warehouse as a software tool will play role in future of Data & Analytics strategy? You cannot get away from a formalized delivery capability focused on regular, scheduled, structured and reasonably governed data. Data lakes don’t offer this nor should they. E.g. Data Lakes in Azure – as SaaS.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52