AWS Big Data

JULY 28, 2023

Apache Flink and Apache Spark are both open-source, distributed data processing frameworks used widely for big data processing and analytics. Spark is known for its ease of use, high-level APIs, and the ability to process large amounts of data. Flink also allows seamless transition and switching across these APIs.

Data Processing 79

Data Processing Big Data Data Quality Technology 79

Cloudera

FEBRUARY 8, 2024

Overview This blog post describes support for materialized views for the Iceberg table format. Apache Iceberg is a high-performance open table format for petabyte-scale analytic datasets. Apache Iceberg forms the core foundation for Cloudera’s Open Data Lakehouse with the Cloudera Data Platform (CDP).

Snapshot 88

Snapshot Metadata Cost-Benefit Data Warehouse 88

AWS Big Data

MAY 9, 2024

In this post, we show you how to use the new views feature the AWS Glue Data Catalog. SQL views are a powerful object used across relational databases. You can use views to decrease the time to insights of data by tailoring the data that is queried.

Data Lake 55

Data Lake Metadata Management Big Data 55

AWS Big Data

APRIL 30, 2024

Today, we’re excited to announce general availability of Amazon Q data integration in AWS Glue. Amazon Q data integration, a new generative AI-powered capability of Amazon Q Developer , enables you to build data integration pipelines using natural language.

Data Integration 99

Data Integration Data Lake Data Warehouse Software 99

AWS Big Data

JULY 28, 2023

The GDPR (General Data Protection Regulation) right to be forgotten, also known as the right to erasure, gives individuals the right to request the deletion of their personally identifiable information (PII) data held by organizations. Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud.

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Snapshot Metadata Measurement Data Warehouse 79

AWS Big Data

NOVEMBER 29, 2023

In 2013, Amazon Web Services revolutionized the data warehousing industry by launching Amazon Redshift , the first fully-managed, petabyte-scale, enterprise-grade cloud data warehouse. Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools.

Data Warehouse 97

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Cloudera

MAY 18, 2021

This article is the second in a multipart series to showcase the power and expressibility of FlinkSQL applied to market data. Code and data for this series are available on github. Flink SQL is a data processing language that enables rapid prototyping and development of event-driven and streaming applications.

Risk 94

Risk Marketing Risk Management Data-driven 94

Cloudera

MAY 4, 2021

This article is the first of a multipart series to showcase the power and expressibility of FlinkSQL applied to market data. Code and data for this series are available on github. Flink SQL is a data processing language that enables rapid prototyping and development of event-driven and streaming applications.

Marketing 77

Marketing Data-driven Risk Modeling 77

CDW Research Hub

JULY 22, 2022

The Sirius Data & Analytics Consulting team recently attended Snowflake Summit 2022 in Las Vegas; the first time the annual conference has been held in person since 2019. Whether it was due to being in a room full of data enthusiasts or the magic of Las Vegas, the energy matched the larger attendance and venue.

Data Lake 84

Data Lake Data Governance Consulting Machine Learning 84

AWS Big Data

JUNE 6, 2023

AWS Glue is a serverless data integration service that makes it simple to discover, prepare, and combine data for analytics, machine learning (ML), and application development. Hundreds of thousands of customers use data lakes for analytics and ML to make data-driven business decisions.

Data Quality 72

Data Quality Data Lake Data-driven Metrics 72

datapine

NOVEMBER 11, 2021

Table of Contents. a) Data Connectors Features. For a few years now, Business Intelligence (BI) has helped companies to collect, analyze, monitor, and present their data in an efficient way to extract actionable insights that will ensure sustainable growth. Your Chance: Want to take your data analysis to the next level?

Business Intelligence 213

Business Intelligence Dashboards Interactive Visualization 213

AWS Big Data

MAY 19, 2023

Organizations across all industries have complex data processing requirements for their analytical use cases across different analytics systems, such as data lakes on AWS , data warehouses ( Amazon Redshift ), search ( Amazon OpenSearch Service ), NoSQL ( Amazon DynamoDB ), machine learning ( Amazon SageMaker ), and more.

Machine Learning 79

Machine Learning Metrics Management Big Data 79

Cloudera

NOVEMBER 13, 2020

Apache Impala is synonymous with high-performance processing of extremely large datasets, but what if our data isn’t huge? It turns out that Apache Impala scales down with data just as well as it scales up. Small queries are part of many common use cases: Financial summary reporting with the end of quarter or end of year results.

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Optimization Metadata Statistics Cost-Benefit 143

Ontotext

MAY 9, 2023

AIDAVA (short for AI-powered Data Curation & Publishing Virtual Assistant) is a Horizon Europe project, which brings together 14 partners from 9 EU countries. Europe’s Digital Decade declaration targets for 2030 outline the digital rights and principles complementing data protection, privacy legislation and other rights.

Technology 52

Technology Cost-Benefit Statistics Publishing 52

AWS Big Data

MAY 9, 2023

It allows you to visually compose data transformation workflows using nodes that represent different data handling steps, which later are converted automatically into code to run. In this post, we discuss potential uses cases that reflect common ETL needs.

Visualization 71

Visualization Marketing Big Data IT 71

Sisense

NOVEMBER 30, 2020

Every company is becoming a data company. Data-Powered Apps delves into how product teams are infusing insights into applications and services to build products that will delight users and stand the test of time. The trend of converting data into profitable insights is now an industry in itself.

Analytics 98

Analytics Dashboards Metrics Data-driven 98

Cloudera

APRIL 15, 2021

release and the new in-place upgrade from HDP that completely does away with replacing infrastructure and data migrations. Ranger Audit filters help with using JSON defined filters to control the audit events captured in order to streamline audit volumes by only including relevant events. . Data Engineering . Data Warehouse.

Cost-Benefit 66

Cost-Benefit Data Warehouse Management Data Processing 66

Sisense

AUGUST 9, 2021

In our latest Sisense release, we came out with the first iteration of Notebooks, a new way to perform ad hoc analysis on disparate datasets, develop powerful charts that tell your data’s story, and provide users with a single platform for both in-depth analysis and BI that preserves data security and integrity.

Analytics 52

Analytics Visualization Marketing Data Warehouse 52

The Unofficial Google Data Science Blog

SEPTEMBER 9, 2015

by SEAN GERRISH and AMIR NAJMI To deliver the services our users have come to rely upon, Googlers have to process a lot of data — often at web-scale. In this post, we’ll describe some things we have learned about mixing declarative and procedural programing paradigms to simplify MapReduce as used by data scientists.

Data Science 56

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Cloudera

NOVEMBER 25, 2020

The challenges Matthew and his team are facing are mainly about access to a multitude of data sets, of various types and sources, with ease and ad-hoc, and their ability to deliver data-driven and confident outcomes. . Most of their research data is unstructured and has a lot of variety. Challenges Ahead.

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Data Warehouse Unstructured Data Analytics Visualization 57

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 an open source, SQL-first templating engine that allows you to write repeatable and extensible data transforms in Python and SQL.

Data Lake 99

Data Lake Management Metrics Data Warehouse 99

Cloudera

JUNE 16, 2022

The ability to perform analytics on data as it is created and collected (a.k.a. real-time data streams) and generate immediate insights for faster decision making provides a competitive edge for organizations. . CSP was recently recognized as a leader in the 2022 GigaOm Radar for Streaming Data Platforms report.

Data Lake 85

Data Lake Manufacturing Metadata Dashboards 85

Cloudera

NOVEMBER 27, 2023

Many critical downstream applications consume data processed by Flink, especially telcos, financial services, and e-commerce, where real-time processing needs are pronounced. Cloudera perspective: This is exactly why we built SQL Stream Builder, a SQL-based no-code UI for analysts and domain experts. Takeaway No. Takeaway No.

Data Lake 79

Data Lake Advertising ROI Data Warehouse 79

Jet Global

APRIL 26, 2022

So, you’re working for a medium to large enterprise that uses Microsoft Dynamics 365 Finance & Supply Chain (D365 F&SCM) as its ERP system. But if your business is growing, you are probably looking to push beyond the out-of-the-box capabilities to develop your own custom analysis and meaningful data insights. Access Resource.

Reporting 52

Reporting Finance Cost-Benefit Forecasting 52

Jet Global

MAY 1, 2023

By leveraging data analysis to solve high-value business problems, they will become more efficient. These capabilities are to be made available inside the applications people use every day. This is in contrast to traditional BI, which extracts insight from data outside of the app. that gathers data from many sources.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52