Cloudera

JUNE 18, 2022

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. On data warehouses and data lakes.

Data Lake 89

Data Lake Data Warehouse Machine Learning Cost-Benefit 89

Jet Global

DECEMBER 3, 2021

It is able to draw from a broader array of data stores, including traditional relational databases, robust data warehouses, and cloud-based data lakes. Discover Meaning Amid All That Data. This will ensure that you have the information you need to optimize your marketing spend. Why business intelligence ?

Business Intelligence 52

Business Intelligence Sales OLAP Data Warehouse 52

AWS Big Data

APRIL 19, 2023

Many customers run big data workloads such as extract, transform, and load (ETL) on Apache Hive to create a data warehouse on Hadoop. sql_parameters DATE=2022-07-04::HOUR=00 Any additional or dynamic parameters expected by the SQL files. Apache Hive has performed pretty well for a long time.

Metadata 82

Metadata Testing Data Lake Consulting 82

AWS Big Data

JUNE 28, 2023

Another example of AWS’s investment in zero-ETL is providing the ability to query a variety of data sources without having to worry about data movement. Data analysts and data engineers can use familiar SQL commands to join data across several data sources for quick analysis, and store the results in Amazon S3 for subsequent use.

Analytics 71

Analytics Data Warehouse Data Lake Data-driven 71

AWS Big Data

MAY 18, 2023

You can discover and connect to over 70 diverse data sources, manage your data in a centralized data catalog, and create, run, and monitor data integration pipelines to load data into your data lakes and your data warehouses. AWS Glue released version 4.0 runtime ( 3.5 Since AWS Glue 4.0,

Testing 79

Testing Data Lake Cost-Benefit Data Integration 79

IBM Big Data Hub

JULY 5, 2022

Db2’s decades of innovation and expertise running the most demanding transactional, analytical, and operational workloads have culminated today in the 2022 Gartner Peer Insights Customers’ Choice distinction for Cloud Database Management Systems. . To learn more, visit IBM Db2 and our IBM data management page. .

Data Lake 92

Data Lake Data Warehouse Publishing Structured Data 92

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 116

Data Lake Metadata Optimization Statistics 116

AWS Big Data

MAY 25, 2023

Many organizations today are using AWS Glue to build ETL pipelines that bring data from disparate sources and store the data in repositories like a data lake, database, or data warehouse for further consumption. In April 2022, Auto Scaling for AWS Glue was released for AWS Glue version 3.0 1X 1 4 16 64 G.2X

Reporting 71

Reporting Metrics Optimization Data Lake 71

AWS Big Data

APRIL 27, 2023

Amazon Athena supports the MERGE command on Apache Iceberg tables, which allows you to perform inserts, updates, and deletes in your data lake at scale using familiar SQL statements that are compliant with ACID (Atomic, Consistent, Isolated, Durable).

Data Lake 75

Data Lake Snapshot Optimization Data Transformation 75

BizAcuity

MARCH 1, 2019

Traditional methods of analyzing structured data are not designed to efficiently process these large amounts of real-time data that is collected from IoT devices. This is where AI-based analysis and response play a critical role in extracting optimal value from the data. IoT produces a treasure trove of big data.

IoT 56

IoT Internet of Things Big Data Data-driven 56

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

MAY 30, 2023

Customers have been using data warehousing solutions to perform their traditional analytics tasks. Recently, data lakes have gained lot of traction to become the foundation for analytical solutions, because they come with benefits such as scalability, fault tolerance, and support for structured, semi-structured, and unstructured datasets.

Data Lake 82

Data Lake Data Analytics Analytics Data Processing 82

AWS Big Data

JULY 13, 2023

Data-Driven Everything engagement Altron has provided information technology services since 1965 across South Africa, the Middle East, and Australia. Foundations for a data lake with data governance controls and data quality checks. A set of QuickSight dashboards to be consumed via browser and mobile.

Optimization 92

Optimization B2B Data Quality Sales 92

IBM Big Data Hub

OCTOBER 4, 2023

Why does AI need an open data lakehouse architecture? from 2022 to 2026. Another IDC study showed that while 2/3 of respondents reported using AI-driven data analytics, most reported that less than half of the data under management is available for this type of analytics. All of this supports the use of AI.

Data Lake 82

Data Lake Metadata Cost-Benefit Data Warehouse 82

AWS Big Data

OCTOBER 23, 2023

At AWS re:Invent 2022, Amazon Athena launched support for Apache Spark. Before you run these workloads, most customers run SQL queries to interactively extract, filter, join, and aggregate data into a shape that can be used for decision-making, model training, or inference. An Athena Spark workgroup configured for use.

Data Lake 105

Data Lake Visualization Optimization Interactive 105

AWS Big Data

APRIL 19, 2023

Every day, customers are challenged with how to manage their growing data volumes and operational costs to unlock the value of data for timely insights and innovation, while maintaining consistent performance. As data workloads grow, costs to scale and manage data usage with the right governance typically increase as well.

Data Warehouse 56

Data Warehouse Data Lake Unstructured Data Optimization 56

CIO Business Intelligence

AUGUST 18, 2022

Previously, Walgreens was attempting to perform that task with its data lake but faced two significant obstacles: cost and time. Those challenges are well-known to many organizations as they have sought to obtain analytical knowledge from their vast amounts of data. Lakehouses redeem the failures of some data lakes.

Data Lake 140

Data Lake Data Warehouse Unstructured Data Business Intelligence 140

IBM Big Data Hub

OCTOBER 12, 2023

They’re built on machine learning algorithms that create outputs based on an organization’s data or other third-party big data sources. Sometimes, these outputs are biased because the data used to train the model was incomplete or inaccurate in some way.

Cost-Benefit 80

Cost-Benefit Metadata Data Governance Modeling 80

AWS Big Data

MARCH 20, 2024

As your organization becomes more data driven and uses data as a source of competitive advantage, you’ll want to run analytics on your data to better understand your core business drivers to grow sales, reduce costs, and optimize your business. Sean Beath is an Analytics Solutions Architect at Amazon Web Services.

Data Warehouse 125

Data Warehouse Business Driver Data Lake Data-driven 125

AWS Big Data

MARCH 17, 2023

TalentReef was acquired by Mitratech in August 2022 with the goal to combine TalentReef’s best-in-class systems with Mitratech’s expertise, technology, and global platform to ensure their customers’ hiring needs are serviced better and faster than anyone else in the industry.

Dashboards 52

Dashboards IT Data Lake Visualization 52

AWS Big Data

MARCH 26, 2024

This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. In 2022, AWS commissioned a study conducted by the American Productivity and Quality Center (APQC) to quantify the Business Value of Customer 360.

Data Strategy 70

Data Strategy Strategy Data Warehouse Prescriptive Analytics 70

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 85

Data Lake Dashboards Metrics Metadata 85

AWS Big Data

JANUARY 18, 2024

AWS Lake Formation and the AWS Glue Data Catalog form an integral part of a data governance solution for data lakes built on Amazon Simple Storage Service (Amazon S3) with multiple AWS analytics services integrating with them. In 2022 , we talked about the enhancements we had done to these services.

Data Lake 93

Data Lake Metadata Data Governance Statistics 93

AWS Big Data

NOVEMBER 29, 2023

We have seen a strong customer demand to expand its scope to cloud-based data lakes because data lakes are increasingly the enterprise solution for large-scale data initiatives due to their power and capabilities. The team uses dbt-glue to build a transformed gold model optimized for business intelligence (BI).

Data Lake 106

Data Lake Management Metrics Data Warehouse 106

AWS Big Data

JUNE 21, 2023

Built on highly curated structured data, it provides the flexibility and speed to run aggregations across an entire dataset to derive insights. To house our data, we need to define a data model. An optimal design choice is to use a dimensional model. This is achieved by partitioning the data.

Data Warehouse 82

Data Warehouse Data Lake OLAP Cost-Benefit 82

Cloudera

DECEMBER 14, 2022

OCBC Bank optimizes customer experience & risk management with multi-phased data initiative. The company recently migrated to Cloudera Data Platform (CDP ) and CDP Machine Learning to power a number of solutions that have increased operational efficiency, enabled new revenue streams and improved risk management.

Data Strategy 77

Data Strategy Strategy IT Contextual Data 77

AWS Big Data

MAY 1, 2024

To provide a variety of products, services, and solutions that are better suited to customers and society in each region, we have built business processes and systems that are optimized for each region and its market. The platform consists of approximately 370 dashboards, 360 tables registered in the data catalog, and 40 linked systems.

Dashboards 113

Dashboards Data-driven Publishing Cost-Benefit 113

AWS Big Data

DECEMBER 21, 2023

To create and manage the data products, smava uses Amazon Redshift , a cloud data warehouse. In this post, we show how smava optimized their data platform by using Amazon Redshift Serverless and Amazon Redshift data sharing to overcome right-sizing challenges for unpredictable workloads and further improve price-performance.

Data Lake 92

Data Lake Data Warehouse Data-driven B2B 92

AWS Big Data

MAY 4, 2023

Phase 1 implementation of this regulation, which went into effect on July 1, 2022, requires that payors publish machine-readable files publicly for each plan that they offer. For more details, refer to Best practices design patterns: optimizing Amazon S3 performance. Manish Kola is a Solutions Architect on the AWS Data Lab team.

Insurance 83

Insurance Publishing Cost-Benefit Data Lake 83

AWS Big Data

APRIL 5, 2023

Showpad also struggled with data quality issues in terms of consistency, ownership, and insufficient data access across its targeted user base due to a complex BI access process, licensing challenges, and insufficient education. Showpad completed its internal BI migration to QuickSight by the end of 2022.

Dashboards 52

Dashboards Reporting Cost-Benefit Visualization 52