Rackspace VS Apache Flink

Rackspace Reviews

Apache Flink Reviews

Rackspace mentions (2)

• new phone activation issues

  On the phone with Verizon now (6:04pm EST 3/1) and was just told another 24 hours. I'm also in IT and if this has been going on for over 24 hrs already and is project for another 24 hrs something BAD is going on. Ransomware????? This is how the rackspace.com ransomware attack went down in Dec, 24hrs, 24hrs, more hours, bigger issue.... Source: about 1 year ago

• Question about AD Directory Sync for o365

  I've heard a lot about BitTitan but have never used it. And yeah, most of my migrations have been an onsite exchange server to the o365 cloud and go really smooth. The others are usually some free email that comes with the webhost, like rackspace.com email where the owner who has 5-10 employees waited until they were hacked before switching over. Or they finally realize that they don't look like a legitimate... Source: over 1 year ago

Apache Flink mentions (27)

• Top 10 Common Data Engineers and Scientists Pain Points in 2024

  Data scientists often prefer Python for its simplicity and powerful libraries like Pandas or SciPy. However, many real-time data processing tools are Java-based. Take the example of Kafka, Flink, or Spark streaming. While these tools have their Python API/wrapper libraries, they introduce increased latency, and data scientists need to manage dependencies for both Python and JVM environments. For example,... - Source: dev.to / 27 days ago

• Choosing Between a Streaming Database and a Stream Processing Framework in Python

  Other stream processing engines (such as Flink and Spark Streaming) provide SQL interfaces too, but the key difference is a streaming database has its storage. Stream processing engines require a dedicated database to store input and output data. On the other hand, streaming databases utilize cloud-native storage to maintain materialized views and states, allowing data replication and independent storage scaling. - Source: dev.to / 3 months ago

• Go concurrency simplified. Part 4: Post office as a data pipeline

  Also, this knowledge applies to learning more about data engineering, as this field of software engineering relies heavily on the event-driven approach via tools like Spark, Flink, Kafka, etc. - Source: dev.to / 5 months ago

• Five Apache projects you probably didn't know about

  Apache SeaTunnel is a data integration platform that offers the three pillars of data pipelines: sources, transforms, and sinks. It offers an abstract API over three possible engines: the Zeta engine from SeaTunnel or a wrapper around Apache Spark or Apache Flink. Be careful, as each engine comes with its own set of features. - Source: dev.to / 5 months ago

• Getting Started with Flink SQL, Apache Iceberg and DynamoDB Catalog

  Due to the technology transformation we want to do recently, we started to investigate Apache Iceberg. In addition, the data processing engine we use in house is Apache Flink, so it's only fair to look for an experimental environment that integrates Flink and Iceberg. - Source: dev.to / 5 months ago