Systems | Development | Analytics | API | Testing

What is Data Mapping?

Imagine this: less than half an organization’s structured data is used in decision-making. Think of the missed opportunities for customer acquisition and revenue by not taking advantage of that information. According to an IBM study, 87 percent of CEOs regard data as a strategic asset. So why then are companies not harnessing the power of this information?

Spark Troubleshooting Solutions - DataOps, Spark UI or logs, Platform or APM Tools

Spark is known for being extremely difficult to debug. But this is not all Spark’s fault. Problems in running a Spark job can be the result of problems with the infrastructure Spark is running on, inappropriate configuration of Spark, Spark issues, the currently running Spark job, other Spark jobs running at the same time – or interactions among these layers.

Top 7 Accounting Software Apps for Freelancers and SME

Are you struggling to identify the best accounting software apps for managing your financial transactions? Do you need inspiration in determining what accounting tool is best for your freelancing business? This article covers the differences between bookkeeping and accounting software apps and discusses what to look for in top accounting software. Also, it shares the best accounting tools for freelancers and small/mid-sized businesses.

Deploying Hybrid Kong API Gateway with EKS Anywhere

Modern microservices-based architectures require companies to change not just the way they build applications but also how to deploy them. Basically, the new microservices foundation should be based on two main pillars: hybrid deployments and Kubernetes orchestrator. With the complete separation of the control plane (CP) and data plane (DP), Kong Gateway fully supports hybrid deployments.

Optimizing your BigQuery incremental data ingestion pipelines

When you build a data warehouse, the important question is how to ingest data from the source system to the data warehouse. If the table is small you can fully reload a table on a regular basis, however, if the table is large a common technique is to perform incremental table updates. This post demonstrates how you can enhance incremental pipeline performance when you ingest data into BigQuery.