Have you ever wondered how Google can predict our next move every time? No? Well, let’s enlighten you a little bit. It is all because of the data they have, and they analyze that unstructured and extensive data to read our minds. Are you wondering how they analyze this enormous amount of data? Well, they have algorithms and tools for this purpose. The data they work on is Big Data, and the tools they use are big data tools.
Let us suppose big data as an umbrella, because no matter what kind of data we have, it all comes under big data. Let me take you back in time when we used to have a lot of data in row form. And, it was just data, being there with no means. We could not do anything with that, and sometimes we even considered it as a burden because we had nothing to bring some value out of it.
And now, when we have big data and its tools to work on every type of data. Look where we are, what wonders we are doing with this data that was considered a wastage. We are using data in the medical industry, IT industry, and many other industries to bring out some fruitful results. There has been a significant amount of progress if we look back, but there is still a long way to go. We are still en route to bring out the full potential of data. The present is brilliant, but the future will be the most glorious. It will not be wrong if we say the future of information technology belongs to big data.
7 Data Engineering Companies
It will be a lie if I say we do not feel confused or overwhelmed when we see this massive amount of data every day. And, if we try to imagine the amount of data companies see through every day. Well, that is beyond our imagination, to be honest. If we talk about companies, there are tons of them. Here, we will mention the top 7 companies that we need to watch in 2020.
- Teradata
When we talk about top data engineering companies, Teradata is always one of the options. Teradata is best known for data warehouse products it offers. Teradata's offerings in terms of data engineering include QueryGrid, Teradata viewpoint, Teradata unity, and Teradata Listener. All os these tools are a big help in modeling, processing, and management of data. They provide other organizations the services to bring out the value of their data.
- Cloudera
Cloudera is considered as one of the prominent names in the big data industry. They have partnered with the Hortonworks, another big name when it comes to big data. As they both are Hadoop focusing companies, they are working together with kinds of different approaches. Hortonworks is more focused on the technical market, while Cloudera is targetting the IT market.
- Apache
Apache is another big name in data engineering. They have offered multiple data engineering tools that have been very helpful. Apache Hadoop is one of their products on which a lot of other companies have built their functions of big data. Apache spark is another tool offered by them that works even faster than Hadoop and it works on batch data plus real-time data.
- VMware
Apache is another big name in data engineering. They have offered multiple data engineering tools that have been very helpful. Apache Hadoop is one of their products on which a lot of other companies have built their functions of big data. Apache spark is another tool offered by them that works even faster than Hadoop and it works on batch data plus real-time data.
- Denologix
Denologix is rated as one of the biggest data engineering companies in recent years. It offers solutions regarding your data engineering problems such as data integration and data management. Well, if you want to transform your most complex and critical data into some actionable knowledge Denologics is the name for you.
- ThirdEye Data
A company from Silicon Valley, ThridEye Data is one of the greatest and well-known big data providers right now. Their main center has always been three Vs of big data, volume, variety, and velocity. It is providing other companies with real-time data sets and also analyzing their data for them. They work with great open-source tools, such as Spark SQL, MongoDB, Kafka and many more.
- Microsoft
Microsoft, with the help of its azure platform, is walking calmly towards the top in the big data industry. In that venture, it has partnered with Hortonworks, and they have introduced HDInsights together. This data tool uses the Hortonworks data platform for analyzing different types of data.
What to Learn from These Companies?
If we look at the data engineering companies that we mentioned above, we do not only get to see their data engineering products. A lot of lessons and insights are there as well to analyze and learn. They teach us how we should be focused on the mission and not just a project. Meeting commitments and listening to the customer, will find you a way out of every critical situation.
Well these companies, they just did not start from where they are right now. Their focus was always on the long term goals. Rather than competing vertically, we should first compete horizontally, that is within ourselves. And, the most important thing is the balance between leadership and management.
If we talk about making a career in the data engineering industry, there are some pre-requisites to it. Having an IT background is the first thing. Your programming skills should be sharp, and extra-ordinary as it is the basis of data engineering.
Knowing how to work with data engineering tools, play a vital role in getting you a job. Start learning, and working with some of them according to the future perspective. And if you want to learn all of this together, you should get enrolled in a data science academy. Well, there you can learn about how to work and how to get a job in the data engineering industry.