datapine

AUGUST 14, 2019

Data science has become an extremely rewarding career choice for people interested in extracting, manipulating, and generating insights out of large volumes of data. To fully leverage the power of data science, scientists often need to obtain skills in databases, statistical programming tools, and data visualizations.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

Smart Data Collective

AUGUST 10, 2021

In today’s market, it’s hard to thrive or even just survive without collecting data. Companies have to understand their customers better than they do, study their competitors and understand how cultural and global influences affect their positioning. Data can help them create strategies based on these powerful forces.

Analytics 127

Analytics Data-driven Advertising Data Science 127

AWS Big Data

OCTOBER 26, 2023

Amazon Redshift is a fast, petabyte-scale, cloud data warehouse that tens of thousands of customers rely on to power their analytics workloads. Amazon Redshift ML makes it easy for SQL users to create, train, and deploy ML models using SQL commands familiar to many roles such as executives, business analysts, and data analysts.

Modeling 62

Modeling Data Warehouse Machine Learning Testing 62

AWS Big Data

MARCH 2, 2023

It adds tables to compute engines including Spark, Trino, PrestoDB, Flink, and Hive using a high-performance table format that works just like a SQL table. Iceberg has become very popular for its support for ACID transactions in data lakes and features like schema and partition evolution, time travel, and rollback. AWS Glue 3.0

Data Lake 114

Data Lake Data Processing Metadata Snapshot 114

Sisense

JANUARY 25, 2020

SQL is one of the analyst’s most powerful tools. In SQL Superstar , we give you actionable advice to help you get the most out of this versatile language and create beautiful, effective queries. In this post, we’ll show how to split our comma-separated string into a table of values for easier analysis in MySQL.

Dashboards 92

Dashboards IT 92

Cloudera

JUNE 26, 2023

Here are some tips and tricks of the trade to prevent well-intended yet inappropriate data engineering and data science activities from cluttering or crashing the cluster. For data engineering and data science teams, CDSW is highly effective as a comprehensive platform that trains, develops, and deploys machine learning models.

Testing 76

Testing Data Processing Visualization Data Science 76

Cloudera

FEBRUARY 9, 2021

Cloudera Operational Database is now available in three different form-factors in Cloudera Data Platform (CDP). . But first, let’s look at the different form factors in which Cloudera Operational Database is available to developers: Public cloud: CDP Data Hub Operational Database template . The DML statements are not standard SQL). .

Interactive 101

Interactive Machine Learning Data Science IT 101

Sisense

APRIL 17, 2020

We live in a world of data: there’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Dealing with Data is your window into the ways Data Teams are tackling the challenges of this new world to help their companies and their customers thrive. What is a materialized view, anyway?

Data Warehouse 90

Data Warehouse Visualization Statistics Machine Learning 90

Sisense

AUGUST 18, 2019

Constraints and Limitations Native JSON Data Stores Performance Use Cases and Factors. It doesn’t work so well. When you get down to it, this is precisely the debate that rages among data scientists when it comes to PostgreSQL vs. MongoDB, and the right kind of storage for JSON data. What is JSON? A fork, on (in?)

Unstructured Data 81

Unstructured Data Data Processing Dashboards Testing 81

AWS Big Data

MAY 18, 2023

Deriving insight from data is hard. It’s even harder when your organization is dealing with silos that impede data access across different data stores. Seamless data integration is a key requirement in a modern data architecture to break down data silos. AWS Glue released version 4.0 runtime ( 3.5

Testing 74

Testing Data Lake Cost-Benefit Data Integration 74

Cloudera

NOVEMBER 10, 2021

Cloudera Data Platform (CDP) brings many improvements to customers by merging technologies from the two legacy platforms, Cloudera Enterprise Data Hub (CDH) and Hortonworks Data Platform (HDP). This blog post provides CDH users with a quick overview of Ranger as a Sentry replacement for Hadoop SQL policies in CDP.

Data Lake 75

Data Lake Management Metadata Modeling 75

erwin

SEPTEMBER 5, 2022

As with part 1 , part 2 ,and part 3 of this data modeling blog series, this blog also stresses that the cloud is not nirvana. Data modeling best practices. Did you notice that the majority of these serverless databases are in fact just relational databases, a technology that we’re all quite accustomed to working with?

Modeling 52

Modeling Cost-Benefit Testing Data-driven 52

AWS Big Data

NOVEMBER 16, 2023

Amazon Redshift is a popular cloud data warehouse, offering a fully managed cloud-based service that seamlessly integrates with an organization’s Amazon Simple Storage Service (Amazon S3) data lake, real-time streams, machine learning (ML) workflows, transactional workflows, and much more—all while providing up to 7.9x

Enterprise 80

Enterprise Data Warehouse Snapshot Cost-Benefit 80

CIO Business Intelligence

JULY 14, 2023

CIOs want to take advantage of this but on their terms—and their own data. For generative AI, that’s complicated by the many options for refining and customising the services you can buy, and the work required to make a bought or built system into a useful, reliable, and responsible part of your organization’s workflow.

Modeling 98

Modeling Machine Learning Cost-Benefit B2B 98

Sisense

AUGUST 4, 2019

Especially when it comes to the data in your tables. That is unless you understand the different scenarios, their resolutions, and how to build a good relationship with your data. As you know, this data is organized into rows, columns and tables, and it’s also indexed so that you can find what you need quickly and easily.

Testing 75

Testing Visualization Dashboards Modeling 75

Cloudera

SEPTEMBER 17, 2018

SQL development is not a new concept. However, as the data warehousing world shifts into a fast-paced, digital, and agile era, the demands to quickly generate reports and help guide data-driven decisions are constantly increasing. New data types need to be quickly joined with existing data sets.

Data Warehouse 53

Data Warehouse Optimization Visualization Unstructured Data 53

Ontotext

DECEMBER 2, 2021

In our previous blog posts of the series, we talked about how to ingest data from different sources into GraphDB , validate it and infer new knowledge from the extant facts as well as how to adapt and scale our basic solution. Data is interconnected, like some sort of worldwide web of knowledge. Relational data.

Visualization 98

Visualization Interactive Dashboards Enterprise 98

AWS Big Data

FEBRUARY 24, 2023

Data lakes are a popular choice for today’s organizations to store their data around their business activities. As a best practice of a data lake design, data should be immutable once stored. A data lake built on AWS uses Amazon Simple Storage Service (Amazon S3) as its primary storage environment.

Data Lake 79

Data Lake Metadata Testing Data Warehouse 79

FineReport

MARCH 29, 2023

In this article, we will introduce what Qlik Sense is, the differences and connections between Qlik Sense and QlikView, and how it compares to the leading BI tool in Asia: FineReport. QlikView vs Qlik Sense How does Qlik Sense compare to FineReport? Data source support FineReport supports more database connections than Qlik Sense.

Reporting 52

Reporting Visualization Dashboards Enterprise 52

AWS Big Data

FEBRUARY 1, 2024

The Common Crawl corpus contains petabytes of data, regularly collected since 2008, and contains raw webpage data, metadata extracts, and text extracts. In addition to determining which dataset should be used, cleansing and processing the data to the fine-tuning’s specific need is required. Set up Athena to run interactive SQL.

Metadata 92

Metadata Modeling Data Processing Unstructured Data 92

Alation

FEBRUARY 13, 2020

For the third consecutive year, Alation has been named the top-ranked data catalog in the Dresner Advisory Services Wisdom of the Crowds® Data Catalog Market Study. In their Wisdom of Crowds® Data Catalog Market Study, Dresner assessed data catalog solutions from the perspective of business intelligence (BI).

Business Intelligence 52

Business Intelligence Machine Learning Marketing Metadata 52

AWS Big Data

MARCH 18, 2024

It always pays to know more about your customers, and AWS Data Exchange makes it straightforward to use publicly available census data to enrich your customer dataset. The United States Census Bureau conducts the US census every 10 years and gathers household survey data. Set up a place index in Amazon Location Service.

Data Warehouse 78

Data Warehouse Visualization Snapshot Data-driven 78

AWS Big Data

JULY 3, 2023

Backtesting is a process used in quantitative finance to evaluate trading strategies using historical data. Index rebalancing arbitrage takes advantage of short-term price discrepancies resulting from ETF managers’ efforts to minimize index tracking error.

Snapshot 80

Snapshot Data Lake Testing Strategy 80

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

Ontotext

SEPTEMBER 23, 2021

This post continues our series aiming to provide the bigger picture of what we do and how our webinars fit into it. So, we started this series by introducing knowledge graphs & their application in data management and how to reason with big knowledge graphs & use graph analytics. Mapping UI.

Optimization 97

Optimization Business Intelligence Data Collection Enterprise 97

CIO Business Intelligence

JUNE 29, 2022

If you can’t make sense of your business data, you’re effectively flying blind. Insights hidden in your data are essential for optimizing business operations, finetuning your customer experience, and developing new products — or new lines of business, like predictive maintenance. Microsoft. Azure Analysis Services.

Data Lake 116

Data Lake Analytics Data Warehouse Machine Learning 116

Domino Data Lab

JULY 2, 2019

Paco Nathan ‘s latest article covers program synthesis, AutoPandas, model-driven data queries, and more. In other words, using metadata about data science work to generate code. In this case, code gets generated for data preparation, where so much of the “time and labor” in data science work is concentrated.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

AWS Big Data

OCTOBER 11, 2023

Organizations with legacy, on-premises, near-real-time analytics solutions typically rely on self-managed relational databases as their data store for analytics workloads. Near-real-time streaming analytics captures the value of operational data and metrics to provide new insights to create business opportunities.

Management 101

Management Metadata Analytics Dashboards 101

O'Reilly on Data

MARCH 23, 2023

What is it, how does it work, what can it do, and what are the risks of using it? PaLM-E , a variant, is a multimodal model that can work with images; it has been used to control robots. How Does It Work? In that sense, “how it works” is the least important question to ask.

IT 262

IT Modeling Testing Risk 262

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. Apache Iceberg 1.2.0, and Delta Lake 2.3.0.

Data Lake 109

Data Lake Metadata Optimization Statistics 109

Cloudera

DECEMBER 15, 2022

Since we announced the general availability of Apache Iceberg in Cloudera Data Platform (CDP), Cloudera customers, such as Teranet , have built open lakehouses to future-proof their data platforms for all their analytical workloads. Newly generated metadata will then point to source data files as illustrated in the diagram below. .

Metadata 77

Metadata Data Warehouse Snapshot Data Quality 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. Snowpark for Python.

Data Lake 84

Data Lake Data Governance Consulting Machine Learning 84

Alation

MAY 24, 2022

generally available on May 24, Alation introduces the Open Data Quality Initiative for the modern data stack, giving customers the freedom to choose the data quality vendor that’s best for them with the added confidence that those tools will integrate seamlessly with Alation’s Data Catalog and Data Governance application.

Data Quality 98

Data Quality Data Governance Metadata Metrics 98

Cloudera

FEBRUARY 8, 2024

It brings the reliability and simplicity of SQL tables to big data while enabling engines like Hive, Impala, Spark, Trino, Flink, and Presto to work with the same tables at the same time. 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

IBM Big Data Hub

MARCH 25, 2022

A database is a crucial engine for a world becoming more data driven. Businesses are more heavily relying on smart insights and emerging patterns to succeed. Advancements in software and hardware had an interplay between the rising appetite for any organization making a data-driven decision.

Data-driven 77

Data-driven Data Warehouse Data Processing Marketing 77

Cloudera

NOVEMBER 25, 2020

I remember Matthew’s face showing mixed feelings when he explained how the pressure grew exponentially overnight. . 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. .

Data Warehouse 57

Data Warehouse Unstructured Data Analytics Visualization 57

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. Data science experiment result and performance analysis, for example, calculating model lift. Query Planner Design.

Optimization 143

Optimization Metadata Statistics Cost-Benefit 143