Batch vs. Stream Processing: Which Should You Choose and When?
We all know that enterprise data needs change constantly, and recently that change has come at an increasing pace. Companies that were once processing all their big data on-prem have suddenly moved...
View ArticleTalend Step-by-Step: Continuous Data Matching & Machine Learning with...
Today, almost everyone has big data, machine learning and cloud at the top of their IT “to-do” list. The importance of these technologies can’t be overemphasized as all three are opening up...
View ArticleLegacy Versus Next-Generation – How Open Source is Driving the Big Data Market
When it comes to solutions for the big data sector, there is a clear split between the legacy and next- generation approaches to software development. Legacy vendors in this space generally have...
View ArticleTalend Integration Cloud 101 – SDLC and Code Promotion Pipeline
Talend Integration Cloud puts powerful graphical tools, prebuilt integration templates, and 900+ connectors and components at your fingertips to connect databases, big data sources, on-premises, and...
View Article2 Key Takeaways from the 2017 Gartner Market Guide for Data Preparation
The recently released 2017 Gartner Market Guide for Data Preparation ([1]) estimates that Data Preparation is well on its way to a $1B market, quickly growing from around $780M in 2016. The analyst...
View ArticleHow APIs, Edge Computing and AI will Evolve in 2018
If you’ve spent any time reading the round-up of 2018 technology predictions, you’ve likely seen Artificial Intelligence (AI) highlighted in nearly every one. The reason for this is because AI has a...
View ArticleApache Beam in 2017: Use Cases, Progress and Continued Innovation
This blog was originally published by Anand Iyer & Jean-Baptiste Onofré [@jbonofre] on the Apache Beam blog. On January 10, 2017, Apache Beam (Beam) got promoted as a Top-Level Apache Software...
View ArticleThe future of DevOps is mastery of multi-cloud environments
DevOps is a set of practices that automates the processes between software development and IT teams so they can build, test, and release software more quickly and reliably. The concept of DevOps is...
View ArticleBatch vs. Stream Processing: Which Should You Choose and When?
We all know that enterprise data needs change constantly, and recently that change has come at an increasing pace. Companies that were once processing all their big data on-prem have suddenly moved...
View ArticleTalend Step-by-Step: Continuous Data Matching & Machine Learning with...
Today, almost everyone has big data, machine learning and cloud at the top of their IT “to-do” list. The importance of these technologies can’t be overemphasized as all three are opening up innovation,...
View ArticleLegacy Versus Next-Generation – How Open Source is Driving the Big Data Market
When it comes to solutions for the big data sector, there is a clear split between the legacy and next- generation approaches to software development. Legacy vendors in this space generally have...
View ArticleTime to review your contracts: How GDPR will change the relationship between...
By now, almost every organisation is aware of how GDPR will change individuals’ rights to own their own data when it comes into effect on 25 May 2018. One key principle GDPR establishes is the...
View ArticleCIOs: Three Considerations for Digital Transformation
Many businesses today are scrutinizing their operations to figure out how to join the digital transformation revolution. They understand that to become more competitive and customer-centric, they...
View ArticleNet Neutrality: Why it’s Vital for Digital Transformation
Until a few months ago, it was thought that the issue of net neutrality had been definitively settled by the ruling of the Federal Communications Commission (FCC) in 2015; however, that all changed...
View ArticleHow to Structure Your Business to Make Better Use of Data
A few years ago, Starbucks’ director of analytics and business intelligence, Joe LaCugna, said the Seattle coffee giant once struggled to make sense of the data pouring in from its loyalty card...
View ArticleTalend vs. Spark Submit Configuration: What’s the Difference?
In my previous blog, “Talend & Apache Spark: A Technical Primer” I walked you through how Talend Spark jobs equate to Spark Submit. In this blog post, I want to continue evaluating Talend Spark...
View ArticleThe Paradise Papers: How the Cloud Helped Expose the Hidden Wealth of the...
In early 2016, the International Consortium of Investigative Journalists (ICIJ) published the Panama Papers –one of the biggest tax-related data leaks in recent history involving 2.6 Terabytes (TBs)...
View Article[Step-by-Step] Data Cleansing & Discovery with Talend Data Preparation Cloud
Whether it’s CRM data used for a marketing campaign or sales figures compiled for the quarterly financial reporting, every company knows that data quality is the cornerstone to accurate and efficient...
View ArticleTalend & Snowflake: Building a Cloud Data Warehouse Ready for Analytics
Cloud data migration is one of the unavoidable stages of any company’s cloud journey. While almost everyone agrees that legacy on-premises data needs to move to the cloud, the question remains how to...
View ArticleAn Intro to Apache Spark Partitioning – What You Need to Know
Apache Spark’s Resilient Distributed Datasets (RDD) are a collection of various data that are so big in size, that they cannot fit into a single node and should be partitioned across various nodes....
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