AWS Big Data

APRIL 30, 2024

Amazon Q Developer can also help you connect to third-party, software as a service (SaaS), and custom sources. Amazon Q Developer can now generate complex data integration jobs with multiple sources, destinations, and data transformations. He is responsible for building software artifacts to help customers.

Data Integration 128

Data Integration Data Lake Data Warehouse Software 128

datapine

SEPTEMBER 29, 2022

With quality data at their disposal, organizations can form data warehouses for the purposes of examining trends and establishing future-facing strategies. Industry-wide, the positive ROI on quality data is well understood. Business/Data Analyst: The business analyst is all about the “meat and potatoes” of the business.

Data Quality 241

Data Quality Metrics Data-driven Management 241

CIO Business Intelligence

DECEMBER 22, 2022

According to Gartner, DataOps also aims “to deliver value faster by creating predictable delivery and change management of data, data models, and related artifacts.” DataKitchen, which specializes in DataOps observability and automation software, maintains that DataOps is not simply “DevOps for data.”

Analytics 130

Analytics Machine Learning Data mining Software 130

Smart Data Collective

OCTOBER 13, 2021

There are countless examples of big data transforming many different industries. There is no disputing the fact that the collection and analysis of massive amounts of unstructured data has been a huge breakthrough. Data virtualization is becoming more popular due to its huge benefits. Maximizing customer engagement.

Visualization 145

Visualization Cost-Benefit Big Data Prescriptive Analytics 145

AWS Big Data

SEPTEMBER 6, 2023

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. With Amazon Redshift, you can analyze all your data to derive holistic insights about your business and your customers. You can also schedule stored procedures to automate data processing on Amazon Redshift. Satesh Sonti is a Sr.

Data Warehouse 116

Data Warehouse Insurance Statistics Software 116

AWS Big Data

AUGUST 9, 2024

Dafiti’s data infrastructure relies heavily on ETL and ELT processes, with approximately 2,500 unique processes run daily. Amazon Redshift at Dafiti Amazon Redshift is a fully managed data warehouse service, and was adopted by Dafiti in 2017. About the Authors Valdiney Gomes is Data Engineering Coordinator at Dafiti.

Data Lake 111

Data Lake Analytics Data Warehouse Data-driven 111

Cloudera

OCTOBER 7, 2022

dbt allows data teams to produce trusted data sets for reporting, ML modeling, and operational workflows using SQL, with a simple workflow that follows software engineering best practices like modularity, portability, and continuous integration/continuous development (CI/CD). The Open Data Lakehouse . Introduction.

Data Warehouse 81

Data Warehouse Data Transformation Machine Learning Data Lake 81

DataKitchen

OCTOBER 5, 2021

Data operations (or data production) is a series of pipeline procedures that take raw data, progress through a series of processing and transformation steps, and output finished products in the form of dashboards, predictions, data warehouses or whatever the business requires. Their product is the data.

Testing 154

Testing Dashboards Measurement Experimentation 154

Cloudera

AUGUST 8, 2022

Iceberg is a 100% open-table format, developed through the Apache Software Foundation , which helps users avoid vendor lock-in and implement an open lakehouse. . These connections empower analysts and data scientists to easily collaborate on the same data, with their choice of tools and engines. Cloudera Machine Learning .

Snapshot 94

Snapshot Data Warehouse Machine Learning Cost-Benefit 94

Cloudera

JUNE 30, 2022

We are excited to announce the general availability of Apache Iceberg in Cloudera Data Platform (CDP). Iceberg is a 100% open table format, developed through the Apache Software Foundation , and helps users avoid vendor lock-in. Supercharge your data lakehouse, make it open. Read why the future of data lakehouses is open.

Data Lake 88

Data Lake Data Warehouse Data Architecture Metadata 88

AWS Big Data

MARCH 3, 2023

It has been well published since the State of DevOps 2019 DORA Metrics were published that with DevOps, companies can deploy software 208 times more often and 106 times faster, recover from incidents 2,604 times faster, and release 7 times fewer defects. For users that require a unified view of software quality, this is unacceptable.

Software 52

Software Data Lake Testing Cost-Benefit 52

Alation

JANUARY 17, 2023

The modern data stack is a combination of various software tools used to collect, process, and store data on a well-integrated cloud-based data platform. It is known to have benefits in handling data due to its robustness, speed, and scalability. Extract, load, Transform (ELT) tools. Better Data Culture.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Science Data Transformation 52

Insight

APRIL 8, 2020

Having run a data engineering program at Insight for several years, we’ve identified three broad categories of data engineers: Software engineers who focus on building data pipelines. In some cases, they work to deploy data science models into production with an eye towards optimization, scalability and maintainability.

Data Warehouse 96

Data Warehouse Cost-Benefit Software Optimization 96

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.

Data Warehouse 40

Data Warehouse Testing Strategy Data-driven 40

AWS Big Data

JULY 25, 2023

The integration of Talend Cloud and Talend Stitch with Amazon Redshift Serverless can help you achieve successful business outcomes without data warehouse infrastructure management. In this post, we demonstrate how Talend easily integrates with Redshift Serverless to help you accelerate and scale data analytics with trusted data.

Data Analytics 52

Data Analytics Analytics Data Warehouse Data Processing 52

IBM Big Data Hub

OCTOBER 16, 2023

How to scale AL and ML with built-in governance A fit-for-purpose data store built on an open lakehouse architecture allows you to scale AI and ML while providing built-in governance tools. A data store lets a business connect existing data with new data and discover new insights with real-time analytics and business intelligence.

Risk 70

Risk Modeling Management Metadata 70

AWS Big Data

OCTOBER 27, 2023

Efficiency : Data transformation tasks that previously took weeks or months can now be accomplished within minutes, optimizing efficiency. Anshul Sharma is a Software Development Engineer in AWS Glue Team. Cost efficiency : Building and maintaining custom connectors can be expensive.

Analytics 124

Analytics Visualization Data Integration Cost-Benefit 124

Sisense

MAY 11, 2021

Here at Sisense, we think about this flow in five linear layers: Raw This is our data in its raw form within a data warehouse. We follow an ELT ( E xtract, L oad, T ransform) practice, as opposed to ETL, in which we opt to transform the data in the warehouse in the stages that follow.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

Sisense

MARCH 30, 2021

Advanced data transformation with Custom Code. With our latest release, you can leverage Python code from Jupyter Notebooks to connect to services such as Amazon SageMaker, Amazon Comprehend, and Amazon Translate to transform and augment data inside your ElastiCube models. If so, it’s your lucky day.

Dashboards 52

Dashboards Machine Learning Data Warehouse Marketing 52

AWS Big Data

OCTOBER 18, 2023

Apache Hive is a distributed, fault-tolerant data warehouse system that enables analytics at a massive scale. Spark SQL is an Apache Spark module for structured data processing. Melody Yang is a Senior Big Data Solutions Architect for Amazon EMR at AWS. or later installed.

Big Data 105

Big Data Data Processing Interactive Testing 105

IBM Big Data Hub

JULY 17, 2023

IBM software products are embedding watsonx capabilities across digital labor, IT automation, security, sustainability, and application modernization to help unlock new levels of business value for clients. It is supported by querying, governance, and open data formats to access and share data across the hybrid cloud.

Machine Learning 62

Machine Learning Data Warehouse Modeling Cost-Benefit 62

Cloudera

APRIL 12, 2021

Data access is enabled through the smart implementation of cloud, which in turn allows for faster and more informed decision-making. We had our cloud environment, enterprise services [and Software-as-a-Service] infrastructure all set up so we could get services out centrally…across the whole U.S.,”

Enterprise 53

Enterprise IT Digital Transformation Data Warehouse 53

Sisense

MARCH 14, 2021

Looking at the diagram, we see that Business Intelligence (BI) is a collection of analytical methods applied to big data to surface actionable intelligence by identifying patterns in voluminous data. As we move from right to left in the diagram, from big data to BI, we notice that unstructured data transforms into structured data.

Big Data 52

Big Data IoT Data Warehouse Data-driven 52

IBM Big Data Hub

MARCH 14, 2024

It seamlessly integrates with Amazon RDS for Db2, watsonx.data SaaS, and other IBM and AWS services like IBM data fabric, Amazon S3, Amazon EMR and AWS Glue. This allows you to scale all analytics and AI workloads across the enterprise with trusted data. 

Cost-Benefit 75

Cost-Benefit Metadata Optimization Management 75

FineReport

APRIL 21, 2024

In today’s data-driven landscape, businesses are constantly seeking innovative solutions to harness the power of analytics effectively. Embedded BI tools have emerged as a transformative force, seamlessly integrating analytical capabilities directly into existing software applications.

Dashboards 52

Dashboards Visualization Interactive Business Intelligence 52

AWS Big Data

JANUARY 17, 2024

He is deeply passionate about applying ML/DL and big data techniques to solve real-world problems. Aditya Shah is a Software Development Engineer at AWS. Melody Yang is a Senior Big Data Solution Architect for Amazon EMR at AWS. Her areas of interests are open-source frameworks and automation, data engineering and DataOps.

Data Lake 115

Data Lake Snapshot Big Data Data-driven 115

Jet Global

MAY 28, 2019

Whether the reporting is being done by an end user, a data science team, or an AI algorithm, the future of your business depends on your ability to use data to drive better quality for your customers at a lower cost. So, when it comes to collecting, storing, and analyzing data, what is the right choice for your enterprise?

Data Warehouse 85

Data Warehouse Reporting Business Intelligence Sales 85

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 122

Data Lake Management Metrics Data Warehouse 122

AWS Big Data

OCTOBER 5, 2023

Amazon AppFlow , a fully managed data integration service, has been at the forefront of streamlining data transfer between AWS services, software as a service (SaaS) applications, and now Google BigQuery. Architecture Let’s review the architecture to transfer data from Google BigQuery to Amazon S3 using Amazon AppFlow.

Data Warehouse 117

Data Warehouse Machine Learning Data Integration Data-driven 117

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 115

Data Lake Data Warehouse Data-driven B2B 115

AWS Big Data

AUGUST 1, 2023

In the world of software engineering and development, organizations use project management tools like Atlassian Jira Cloud. This post shows you how to use Amazon AppFlow and AWS Glue to create a fully automated data ingestion pipeline that will synchronize your Jira data into your data lake. Choose Update.

Data Lake 98

Data Lake Data Transformation Data-driven Cost-Benefit 98

CIO Business Intelligence

AUGUST 3, 2023

In response, Lenovo launched a new line of entry-level gaming laptops and desktops it now brands as Lenovo LOQ that caters to a new gamer’s first foray into gaming, says Girish Hoogar, global head of engineering for Lenovo’s cloud and software business in its Intelligent Devices Group.

Analytics 98

Analytics Data Lake Metadata Cost-Benefit 98

IBM Big Data Hub

JUNE 15, 2023

It is comprised of commodity cloud object storage, open data and open table formats, and high-performance open-source query engines. To help organizations scale AI workloads, we recently announced IBM watsonx.data , a data store built on an open data lakehouse architecture and part of the watsonx AI and data platform.

Data Warehouse 86

Data Warehouse Data Lake Optimization Data-driven 86

AWS Big Data

SEPTEMBER 19, 2023

This is a guest post by Khandu Shinde, Staff Software Engineer and Edward Paget, Senior Software Engineering at Chime Financial. However, our legacy data warehouse-based solution was not equipped for this challenge. He enjoys being at the intersection of big data and programming language theory.

Analytics 109

Analytics Risk Big Data Machine Learning 109

IBM Big Data Hub

JULY 5, 2023

Data may be stored in its raw original form or optimized into a different format suitable for consumption by specialized engines. Data could be persisted in open data formats, democratizing its consumption, as well as replicated automatically which helped you sustain high availability.

Data Lake 60

Data Lake Metadata Cost-Benefit Data Warehouse 60

Ontotext

FEBRUARY 12, 2024

For many organizations, a centralized data platform will fall short as it gives data teams much less autonomy over managing increasingly diverse and voluminous datasets. A centralized data engineering team focuses on building a governed self-serviced infrastructure, while domain teams use the services to build full-stack data products.

Data-driven 59

Data-driven Data Lake Data Quality Business Objectives 59

BI-Survey

MARCH 6, 2025

While efficiency is a priority, data quality and security remain non-negotiable. Developing and maintaining data transformation pipelines are among the first tasks to be targeted for automation. However, caution is advised since accuracy, timeliness, and other aspects of data quality depend on the quality of data pipelines.

Data Warehouse 52

Data Warehouse Metadata Unstructured Data Data-driven 52