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keboola

7 Best Change Data Capture (CDC) Tools of 2022

Oct 3, 2022 By Keboola In Keboola
As your data volumes grow, your operations slow down. Data ingestion - extraction of all underlying datasets, transformation, and loading in a storage destination (such as a PostgreSQL or MySQL database) - becomes sluggish, impacting processes down the line. Affecting your data analytics and time to insights. Change Data Capture (CDC) makes data available faster, more efficiently, and without sacrificing data accuracy. In this blog we are going to overview the 7 best change data capture tools of 2022.
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keboola

A Guide to Principal Component Analysis (PCA) for Machine Learning

Oct 3, 2022 By Keboola In Keboola

Principal Component Analysis (PCA) is one of the most commonly used unsupervised machine learning algorithms across a variety of applications: exploratory data analysis, dimensionality reduction, information compression, data de-noising, and plenty more. In this blog, we will go step-by-step and cover: Before we delve into its inner workings, let’s first get a better understanding of PCA. Imagine we have a 2-dimensional dataset.

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[DEMO] How to manage Talend Studio updates from Talend Management Console?

Oct 2, 2022 By Talend In Talend
Talend Cloud provides powerful graphical tools and 900+ connectors and components to connect databases, big data sources, on-premises, and cloud applications. Design cloud-to-cloud and hybrid integration workflows in Talend Studio and publish them to a fully managed cloud platform. If you are using Talend Cloud Management Console with Talend Studio, depending on your license, you can create executable tasks for Jobs, Data Services, and Routes published from Talend Studio and run them directly in the cloud or on Remote Engines, ensuring the security of your data. =
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integrate

What You Should Know About Corporate Loyalty and IT

Sep 30, 2022 By Bill Inmon In Integrate
This is a guest post with exclusive content by Bill Inmon. Bill “is an American computer scientist recognized by many as the father of the data warehouse. Inmon wrote the first book, held the first conference, wrote the first column in a magazine, and was the first to offer classes in data warehousing.” -Wikipedia. The five critical considerations for corporate loyalty.
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Cloudera DataFlow Functions for Public Cloud powered by Apache NiFi

Sep 30, 2022 By Cloudera In Cloudera
Since its initial release in 2021, Cloudera DataFlow for Public Cloud (CDF-PC) has been helping customers solve their data distribution use cases that need high throughput and low latency requiring always-running clusters. CDF-PC’s DataFlow Deployments provides a cloud-native runtime to run your Apache NiFi flows through auto scaling Kubernetes clusters as well as centralized monitoring and alerting and improved SDLC for developers.
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keboola

8 Ways You Can Reduce the Costs of Your Data Operations

Sep 30, 2022 By Keboola In Keboola
Don’t sacrifice scalability for savings - have it both ways When left unchecked, the cumulative costs of your company data can ramp up fast. From training CPU-intensive machine learning algorithms that aren’t used in production to supporting enormous databases storing every minute event “just in case”. Letting your data operating costs run without checks and balances can quickly cause costs to bloat beyond your allocated budgets.
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cloudera

Data Governance and Strategy for the Global Enterprise

Sep 30, 2022 By Cloudera Contributors In Cloudera

While the word “data” has been common since the 1940s, managing data’s growth, current use, and regulation is a relatively new frontier. Governments and enterprises are working hard today to figure out the structures and regulations needed around data collection and use. According to Gartner, by 2023 65% of the world’s population will have their personal data covered under modern privacy regulations.

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keboola

Star Schema vs Snowflake Schema and the 7 Critical Differences

Sep 30, 2022 By Keboola In Keboola
Star schemas and snowflake schemas are the two predominant types of data warehouse schemas. A data warehouse schema refers to the shape your data takes - how you structure your tables and their mutual relationships within a database or data warehouse. Since the primary purpose of a data warehouse (and other Online Analytical Processing (OLAP) databases) is to provide a centralized view of all the enterprise data for analytics, data warehouse schemas help us achieve superior analytic results.
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